Journal articles: 'Zhejiang (Chine ; province)'

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Crick, Monique. "Céladon, grès de la province du Zhejiang, Chine." Sèvres. Revue de la Société des amis du Musée national de la céramique 15, no. 1 (2006): 10–18. http://dx.doi.org/10.3406/sevre.2006.854.

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Wu, Limei, Yunliang Shen, Qiang Yao, Xudong Sang, Lijuan Fei, Wenming Kong, Ye Huang, Yanmin Wang, Fanrong Zeng, and Na Du. "Temporal-spatial distribution characteristics of leprosy: A new challenge for leprosy prevention and control in Zhejiang, China." PLOS Neglected Tropical Diseases 15, no. 1 (January 7, 2021): e0008956. http://dx.doi.org/10.1371/journal.pntd.0008956.

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Background After the elimination of leprosy in 1995, there were 10–30 newly detected leprosy cases every year in Zhejiang Province, and the epidemiological characteristics of the newly detected leprosy cases have changed. While most of the newly detected cases came from other provinces in China, not Zhejiang, it brought a new challenge for leprosy prevention and control in post- elimination era in Zhejiang, China. This study was aimed to understand the temporal-spatial distribution characteristics of newly detected leprosy cases, and provide the scientific rationales for the development of leprosy control strategy. Methods Data on the demographic of Zhejiang Province from 2011 to 2019 were obtained from the China Information System for Disease Control and Prevention, and the epidemiological data on leprosy cases newly detected in Zhejiang Province from 2011 to 2019 were obtained from the LEPROSY MANAGEMANT INFORMATION SYSTEM IN CHINA (LEPMIS), and temporal-spatial distributions were described. The geographic information system software—ArcGIS 10.4 was used to draw the statistical maps, and Geoda 1.14.0 was used for local spatial autocorrelation analysis (local Getis coefficient method). Ridley-Jopling classification was used to classify the clinical types into I, TT, BT, BB, BL or LL. Two-group classification system developed by the World Health Organization (WHO) was used and cases were classified into multibacillary (MB) type or paucibacillary (PB) type. Results A total of 167 leprosy cases were reported in Zhejiang Province during 2011–2019, including 107 cases in males and 60 in females. The mean age at diagnosis was 37.99±14.81 years, and 94.01% of the cases were detected through the examination at skin-clinics. The number of workers, MB cases, G2D cases were 81 (48.50%), 159 (94.01%), 24 (14.37%) respectively, and the rate of early detection increased from 45.16% in 2011 to 90.91% in 2019. Leprosy cases were reported in all the prefectures of Zhejiang except Zhoushan City. The cases in local population accounted for 23.35% (39 cases), and the cases in floating population (especially coming from high epidemic provinces in China) accounted for 76.65% (128 cases). The annual number of newly detected cases showed a decreasing trend, from 31 cases in 2011 to 11 in 2019. Time of the floating population living in Zhejiang Province ranged from several months to more than 10 years. The annual proportion of new cases with G2D declined from 22.58% in 2011 to 9.09% in 2019. The results of local indicators of autocorrelation (LISA) analysis showed that the high-high areas were mainly concentrated in the middle and northeast of Zhejiang Province, while the low-low areas were in the east and southwest. Conclusion A few scattered cases still can be seen in post-elimination era, and there was a spatial clustering of the newly detected leprosy cases in Zhejiang Province. Most of the cases in Zhejiang Province were from other high epidemic provinces in China, which brought a new challenge for leprosy control and prevention in post- elimination era in Zhejiang, and it is also necessary to strengthen the early detection and standard management of the leprosy cases in floating population in Zhejiang.

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Huang, Yangfei, Xiaomin Jiang, and Yong Chen. "Analysis of the Spatial-Temporal Evolution of Urbanization Quality in Zhejiang Province, China." International Journal of Environmental Research and Public Health 20, no. 5 (February 24, 2023): 4093. http://dx.doi.org/10.3390/ijerph20054093.

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Taking cities in Zhejiang Province of China from 2011 to 2020 as the research object, a multi-dimensional urbanization quality evaluation index system was constructed using the comprehensive analysis method, and the urbanization quality of 11 cities in Zhejiang Province was quantitatively measured using the entropy weight method. The system classification and time-space evolution analysis were carried out using ArcGIS software (Environmental Systems Research Institute, Inc., RedLands, CA, USA) to comprehensively study the evolution characteristics and influencing factors of the urbanization quality of cities in Zhejiang Province. This study provides a reference for local governments to formulate feasible urbanization development strategies and policies to promote the high-quality development of urbanization and for the construction of new urbanization in other provinces and cities.

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Xiao, Yong, Cheng Yong, Wei Hu, and Hanyun Wang. "Factors Influencing Carbon Emissions in High Carbon Industries in the Zhejiang Province and Decoupling Effect Analysis." Sustainability 15, no. 22 (November 15, 2023): 15975. http://dx.doi.org/10.3390/su152215975.

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High-carbon emission industries are the most important source of carbon emissions in the Zhejiang Province. Due to the differences in the development level of various industries, it is necessary to adjust the carbon emission reduction strategies of various industries. As the first ecological province in China, the promotion of carbon emission reduction in high-carbon industries in the Zhejiang Province plays an important leading role in the development of low-carbon economy in other industries and other provinces in China. Taking eight high-carbon industries in Zhejiang Province as the research object, this paper uses the LMDI factor decomposition model to deconstruct the influencing factors and effects of carbon emissions in eight industries in the Zhejiang Province from 2010 to 2021. On this basis, the Tapio decoupling model is applied to study the reasons and driving factors of the decoupling between economic growth and carbon emissions. The results showed that: (1) During the study period, the total carbon emissions of eight industries in the Zhejiang Province increased by 24,312,200 t, showing an overall upward trend. (2) The effect of economic growth and population size led to the rapid growth of carbon emissions in eight industries in the Zhejiang Province, and the effect of energy intensity on carbon emission reduction was the most significant; the effect of industry structure presented a trend of first promoting and then inhibiting, and the effect of carbon emission coefficient always inhibited carbon emissions. (3) The population size has restricted decoupling efforts; energy intensity has the greatest impact on the realization of industry decoupling; energy structure and industry structure decoupling efforts are small; the carbon emission coefficient has always influenced decoupling efforts. This research paper will provide suggestions and policies for the development of low-carbon economy in Zhejiang Province.

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Zeng, Shaolong, Yiqun Liu, Junjie Ding, and Danlu Xu. "An Empirical Analysis of Energy Consumption, FDI and High Quality Development Based on Time Series Data of Zhejiang Province." International Journal of Environmental Research and Public Health 17, no. 9 (May 10, 2020): 3321. http://dx.doi.org/10.3390/ijerph17093321.

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This paper aims to identify the relationship among energy consumption, FDI, and economic development in China from 1993 to 2017, taking Zhejiang as an example. FDI is the main factor of the rapid development of Zhejiang’s open economy, which promotes the development of the economy, but also leads to the growth in energy consumption. Based on the time series data of energy consumption, FDI inflow, and GDP in Zhejiang from 1993 to 2017, we choose the vector auto-regression (VAR) model and try to identify the relationship among energy consumption, FDI, and economic development. The results indicate that there is a long-run equilibrium relationship among them. The FDI inflow promotes energy consumption, and the energy consumption promotes FDI inflow in turn. FDI promotes economic growth indirectly through energy consumption. Therefore, improving the quality of FDI and energy efficiency has become an inevitable choice to achieve the transition of Zhejiang’s economy from high speed growth to high quality growth.

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Hu, Wen, Liangyan Zheng, Xin Xu, Qiang Liu, Jun Ji, Lunguang Yao, Yunchao Kan, and Yingzuo Bi. "Genetic characterisation and local genotypes of canine parvovirus strains collected from pet dogs in central and eastern China during 2018–2019." Journal of Veterinary Research 64, no. 4 (November 19, 2020): 477–86. http://dx.doi.org/10.2478/jvetres-2020-0076.

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AbstractIntroductionCanine parvovirus type-2 (CPV-2) causes acute infectious diseases in puppies, which show high morbidity and mortality. Better effect of vaccination against these diseases could be achieved with deeper knowledge of CPV-2 genotype dissemination and mutation history. This study investigated CPV-2–positive samples collected recently over a wide region of China.Material and MethodsA total of 118 faecal samples from dogs identified as CPV-positive were collected from veterinary clinics in central and eastern China. Overall, 16 strains collected from Anhui, 29 from Henan, and 16 from Zhejiang Province were sequenced to determine the genotypic composition of CPV-2 and mutational complexity of CPV-VP2.ResultsThe CPV-2a, CPV-2b, and CPV-2c genotypes were detected in Anhui and Henan Provinces, while CPV-2c alone was detected in Zhejiang Province. Sequence analysis of all strains showed 98.5%–99.8%, 98.3%–99.9%, and 98.7%–99.8% identity among the 16 Anhui, 29 Henan, and 16 Zhejiang strains, respectively. Strains collected from Anhui and Henan Provinces showed lower identity (97.0%), suggesting greater genetic divergence in central China. The mutation rates of Henan and Anhui strains were lower than that of Zhejiang strains. Major amino acid mutations occurred at sites 5, 370, 426, and 440. Epitope and entropy analyses implied these sites’ likely conformance to the principles of mutation tendency, complexity, and diversity.ConclusionThe findings for the evolutionary structure of CPV-2 strains collected from three provinces in central and eastern China advance trend monitoring of the genetic variation in canine parvovirus and point to its implications in the development of novel vaccines.

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Zhao, Ling Di, and Qing Hao. "The Relationship between Oil Consumption and Employment – Based on Data from Twenty Provinces." Advanced Materials Research 709 (June 2013): 764–69. http://dx.doi.org/10.4028/www.scientific.net/amr.709.764.

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This paper discusses the relationship between oil consumption and employment growth in 20 provinces of China. In the study, we mainly use the methods of co-integration and Granger causality. The result indicateds that in different kinds of provinces, there are different kinds of Granger causality between oil consumption and employment. In some provinces, such as Shandong province, Liaoning province and Zhejiang province, there exists one-way Granger causality between the two variables; in Jiangxi province, there exists two-way Granger Causality; while in other provinces, there is no Granger Causality among them. The result is highly correlated with the industrial structure, the structure of economic development and the preferences of energy resources in certain cities.

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Wu, Haocheng, Chen Wu, Qinbao Lu, Zheyuan Ding, Ming Xue, and Junfen Lin. "Spatiotemporal analysis and the characteristics of the case transmission network of 2019 novel coronavirus disease (COVID-19) in Zhejiang Province, China." PLOS ONE 16, no. 9 (September 17, 2021): e0257587. http://dx.doi.org/10.1371/journal.pone.0257587.

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Background Zhejiang Province is one of the five provinces in China that had the highest incidence of novel coronavirus disease (COVID-19). Zhejiang, ranked fourth highest in COVID-19 incidence, is located in the Yangtze River Delta region of southeast China. This study was undertaken to identify the space-time characteristics of COVID-19 in Zhejiang. Methods Data on COVID-19 cases in Zhejiang Province from January to July 2020 were obtained from this network system. Individual information on cases and deaths was imported, and surveillance information, including demographic characteristics and geographic and temporal distributions, was computed by the system. The Knox test was used to identify possible space-time interactions to test whether cases that are close in distance were also close in time. Network analysis was performed to determine the relationship among the cases in a transmission community and to try to identify the key nodes. Results In total, 1475 COVID-19 cases and 1 fatal case were reported from January to July 2020 in Zhejiang Province, China. Most of the cases occurred before February 15th, which accounted for 90.10%. The imported cases increased and became the main risk in Zhejiang Province after February 2020. The risk areas showed strong heterogeneity according to the Knox test. The areas at short distances within 1 kilometer and at brief periods within 5 days presented relatively high risk. The numbers of subcommunities for the four clusters were 12, 9, 6 and 4. There was obvious heterogeneity in the modularity of subcommunities. The maximum values of the node centrality for the four clusters were 2.9474, 4.3706, 4.1080 and 2.7500. Conclusions COVID-19 was brought under control over a short period in Zhejiang Province. Imported infections from outside of mainland China then became a new challenge. The effects of spatiotemporal interaction exhibited interval heterogeneity. The characteristics of transmission showed short range and short term risks. The importance to the cluster of each case was detected, and the key patients were identified. It is suggested that we should focus on key patients in complex conditions and in situations with limited control resources.

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Crasquin, Sylvie. "Kempfia, A new name for the genus Bairdiacratia Crasquin, 2008, non Jiang, 1983." Journal of Paleontology 83, no. 2 (March 2009): 314. http://dx.doi.org/10.1666/08-139.1.

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Crasquin proposed (in Crasquin et al., 2008) the generic name Bairdiacratia (p. 244-246) for a Bairdioidea ostracod (Crustacea) recorded from the latest Permian of the Southern Alps (Italy) and Guizhou, Zhejiang, and Hubei Provinces (South China). Unfortunately, I discovered recently that the name was already used for an ostracod genus from the Middle Devonian of eastern Yunnan Province (China) by Jiang (1983).

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Ren, Jiangping, Zhenyu Gong, Enfu Chen, Junfen Lin, Huakun Lv, Wei Wang, Shelan Liu, and Jimin Sun. "Human rabies in Zhejiang Province, China." International Journal of Infectious Diseases 38 (September 2015): 77–82. http://dx.doi.org/10.1016/j.ijid.2015.07.013.

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Zhao, Ling Di, and Ya Ru Hao. "Study on the Forecast of the Economic Loss in Storm Surge Disaster Based on Fourier Series - A Case Study of China." Advanced Materials Research 734-737 (August 2013): 3280–85. http://dx.doi.org/10.4028/www.scientific.net/amr.734-737.3280.

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The economic loss forecasting model is built up on the basis of the Fourier series to simulate economic loss and grades in storm surge disaster of Zhejiang, Fujian and Guangdong Provinces. The wind speed can be used to forecast the economic loss of Guangdong Province, and the accuracy of trend and grade forecasting is good (80%). The wind power data can be used in Zhejiang and Fujian Provinces, and the accuracy results are both inferior (60%). Therefore, in the economic warning of storm surge disaster, the Fourier series model can be applied to forecast economic loss and grades.

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Tan, Qiqi, Zhenyu Yun, Liangbing Hu, Xiaolei Ma, Yao Zhang, and Yutong Wang. "Current Standardization and Suggestion on Development Level Evaluation of China’s Characteristic Towns." E3S Web of Conferences 235 (2021): 02056. http://dx.doi.org/10.1051/e3sconf/202123502056.

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The construction of characteristic town which derives from Zhejiang is a new exploration for Zhejiang Province to adapt to the economic development. Being reliant on the construction experience of small towns in Zhejiang and other provinces and municipalities, China puts forward the requirement for the construction of characteristic towns nationwide. The development level of characteristic towns nationwide is an important factor which influences the regional economic transformation and upgrading and drives the new urbanization and new rural construction. Based on the analysis of development level and current standardization of characteristic towns, relevant suggestions are raised on the characteristic and sustainable development of characteristic towns.

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SHINOHARA, AKIHIKO, TSUNEO KAKUDA, MEICAI WEI, and YUICHI KAMEDA. "DNA Barcodes Identify the Larvae and Unassociated Male of Three Onycholyda Sawflies (Hymenoptera, Pamphiliidae) from China." Zootaxa 4403, no. 1 (April 3, 2018): 123. http://dx.doi.org/10.11646/zootaxa.4403.1.7.

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A molecular analysis based on mitochondrial cytochrome oxidase subunit 1 (COI) gene sequences has indicated that larvae collected in Sichuan and Zhejiang Provinces, China, belong to Onycholyda xanthogaster Shinohara, 1999, and O. fulvicornis Shinohara, in Shinohara & Wei, 2016 (Hymenoptera, Pamphiliidae), and that a male Onycholyda specimen from Mt. Tianmushan, Zhejiang Province is the hitherto unknown male of O. tianmushana Shinohara & Xiao, 2006. The first host plant records are Rubus inopertus (Focke) Focke (Rosaceae) for O. xanthogaster and Rubus hirsutus Thunb. for O. fulvicornis. The larvae of O. xanthogaster and O. fulvicornis are briefly described and O. xanthogaster is newly recorded from Sichuan Province. The male of O. tianmushana is described for the first time.

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Li, Jieyu, and Qing Zhao. "Analysis of the correlation between youth-developing provinces and common wealth—Taking Zhejiang Province as an example." SHS Web of Conferences 181 (2024): 03027. http://dx.doi.org/10.1051/shsconf/202418103027.

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Youth development province refers to the province development method that mutually stimulates youth innovation and creative vitality and province innovation and creative vitality, and mutually promotes youth high-quality development and province high-quality development. 2021 The Opinions of the Central Committee of the Communist Party of China and the State Council on Supporting the High-quality Development of Zhejiang Province to Construct a Common Wealth Demonstration Zone, which was introduced in 2021, further clarifies that the judgment indicators for the realization of the common wealth can be classified into 10 aspects, namely high-quality development, Income Distribution, Social Public Services, Resident Income, Quality of Life, Culture and Entertainment, Basic Education, Sustainable Ecology, Life Safety, Information and Transportation. Taking Zhejiang Province as an example, this paper starts from the question of whether there is a certain correlation between the building of youth development province and the realization of common prosperity, and analyzes the correlation between the index of youth development province and the index of common prosperity in Zhejiang Province, and discusses and expounds the construction direction of the goal of “common prosperity” in Zhejiang Province.

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Zhang, Ji, and Yuao Feng. "Research on regional difference of economic development level in Zhejiang Province based on factor analysis." Theoretical and Natural Science 52, no. 1 (September 27, 2024): 192–200. http://dx.doi.org/10.54254/2753-8818/52/2024ch0124.

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Regional economic disparities are widespread, especially in China. This is reflected not only in the differences between the four regions, but also in the differences between provinces. At the same time, the regional economic differences within each province are also very obvious. This paper studies the gap between the economic development levels in Zhejiang Province, which contributes to the balanced development and sustainable development of the overall economy of Zhejiang Province, in order to intuitively see the gap between the cities. This paper uses SPSS to reduce the dimension of factor analysis and calculate the comprehensive score through 10 indicators reflecting the level of economic development in 11 cities. Finally, this paper finds that the economic development of each city in Zhejiang Province has great potential. But at the same time, it exposes the imbalance of economic development in the province. The economic development level of Hangzhou, Ningbo and Zhoushan is far higher than that of other cities in the province, and the economic development level of some cities is general. The development level of some cities is poor. According to the research results, the causes and problems of the current situation of economic development are analyzed. Reasonable suggestions are put forward to further promote the coordinated development of the economy.

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Qing, Ganghua, Yifan Luo, Weiwei Huang, Wanjue Wang, Zijing Yue, Jie Wang, Qingyi Li, Shuhan Jiang, and Shien Sun. "Driving Factors of Energy Consumption in the Developed Regions of Developing Countries: A Case of Zhejiang Province, China." Atmosphere 12, no. 9 (September 15, 2021): 1196. http://dx.doi.org/10.3390/atmos12091196.

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Regional energy development and approaches are significant for China’s overall economic and social development. The GDP in Zhejiang province surpassed 6 trillion yuan in 2019, and its energy consumption reached 200 million tons of standard coal (tce), both of which are at the forefront of China. In order to explore the main factors of the increase in energy consumption in Zhejiang and provide essential references for energy saving and other provinces, this paper analyzes the total energy consumption and industrial sectors on the basis of the logarithmic mean divisia index (LMDI) model. Study results show that the economy’s scale is the most crucial factor affecting Zhejiang’s energy consumption, with a significant growth effect. In 2015, the scale effect increased energy consumption to the highest value of 14 million tce and then reduced it to 13 million tce in 2019. The impact of the population on energy consumption increased by 10 million tce from 2010 to 2019. Energy intensity reduces energy consumption by between 0.05 and 0.15 billion tce per year, which is the main factor in reducing energy consumption. The energy structure generally plays a weak positive role due to the different energy types. The decomposition of the energy consumption per unit of value added in the industrial sector showed that the intensity and structural effect primarily reduce energy consumption, for example, the metal smelting and rolling, textile printing and paper, electric power, heating, and other industries. According to the results, enterprises should enhance the intelligence and efficiency of dispatch management and emergency responses. Zhejiang should also accelerate an international oil and gas trading center and resource allocation base to reach its carbon-neutrality goal.

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Zhen, Xuemei, Hao Zhang, Xiaoqian Hu, Shuyan Gu, Yuanyuan Li, Yuxuan Gu, Minzhuo Huang, Xueshan Sun, Jingming Wei, and Hengjin Dong. "PP103 A Comparative Study Of Catastrophic Health Expenditure In China." International Journal of Technology Assessment in Health Care 35, S1 (2019): 57. http://dx.doi.org/10.1017/s0266462319002368.

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IntroductionChina has made great achievements in health insurance coverage and healthcare financing. Nonetheless, the rate of catastrophic health expenditure (CHE) in China was 13 percent in 2008, which is higher than in some other countries. There are differences among the provinces in China in terms of the lifestyles, customs, prevalent medical conditions, and health consciousness of their populations. This study aimed to compare the proportion of households with CHE and the factors influencing this expenditure between the Zhejiang and Qinghai province in China.MethodsData were derived from household surveys conducted in Zhejiang and Qinghai. Sampling was based on a multi-stage, stratified random cluster method. Households with CHE were defined as those with an out-of-pocket payment for health care that was at least 40 percent of the household income. Univariate and multivariate logistic regression analyses were used to identify the factors associated with CHE.ResultsA total of 1,598 households were included: 995 in Zhejiang and 603 in Qinghai. The average rates of CHE in Zhejiang and Qinghai were 10 percent and 31 percent, respectively. The economic status of a household influenced the likelihood of experiencing CHE; households headed by an employed person were less likely to experience CHE. In contrast, households that included outpatients or individuals with chronic diseases had a higher risk of experiencing CHE across the two provinces. Poorer or uninsured households in Zhejiang were more likely to experience CHE, as were households in Qinghai that included outpatients or were headed by a person from a minority nationality.ConclusionsThis study highlighted the importance of promoting economic development, expanding employment, and adjusting policies to better protect individuals with chronic diseases and outpatients from the risk of CHE. The Chinese government should pay more attention to actual conditions in different provinces to ensure that policy decisions incorporate local knowledge.

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Xu, Yannan, Jingjing Lu, Chenhui Sun, Xiaomin Wang, Yanhong Jessika Hu, and Xudong Zhou. "A cross-sectional study of antibiotic misuse among Chinese children in developed and less developed provinces." Journal of Infection in Developing Countries 14, no. 02 (February 29, 2020): 129–37. http://dx.doi.org/10.3855/jidc.11938.

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Introduction: Antimicrobial resistance is a global health crisis and primarily caused by antibiotic misuse. Antibiotic misuse among children is particularly concerning, and its prevalence may vary from region to region in China with different development levels. Methodology: Zhejiang and Shaanxi were selected to represent developed and less developed provinces in China, respectively. Data of 2924 parents in Zhejiang and 3355 parents in Shaanxi whose children were 0-13 years old were collected through multi-stage stratified cluster random sampling and a self-administrated questionnaire. Chi-square tests and logistic regression models were used for statistical analysis. Results: Compared to parents in Zhejiang, those in Shaanxi were more likely to keep antibiotics for children at home, to engage in self-medication with antibiotics for children, and to make their children take antibiotics prophylactically. While there were no significant provincial differences between parents’ requests for antibiotics during pediatric consultations, parents in Shaanxi province were more likely to receive prescribed antibiotics. Conclusions: Children in less developed provinces face higher risks of antibiotic misuse at home as well as when attending medical practitioners. Comprehensive educational interventions are required to improve antibiotic use for children all over China but particularly in less developed provinces such as Shaanxi. Furthermore, non-prescription sales and over-prescribing of antibiotics should be reduced by targeted strategies.

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Zhang, Yaowen, Haoli Lin, and Guanqiong Ye. "Long-Term Benefits of Coastline Ecological Restoration in China." Journal of Marine Science and Engineering 10, no. 4 (April 14, 2022): 541. http://dx.doi.org/10.3390/jmse10040541.

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Coastline ecological restoration is a critical approach for improving the coastal ecological environment and natural disaster mitigation capacity. Zhejiang Province, with the longest coastline in China, has carried out a three-year action of coastline remediation and restoration, expecting to complete the 300-km coastline restoration by 2020 as part of China’s coastline restoration project. We developed a cost–benefit framework synthesizing the ecosystem services (ES) analysis pattern and input-output approach to evaluate Zhejiang’s coastline ecological restoration projects. The results showed that the average value of ecosystem services (VES) of coastline restoration in Zhejiang was approximately 11,829 yuan/m, which was lower than the average VES of natural coastline. Obviously, damaged natural coastline could cause VES degradation, which cannot make up for the loss in a short time. In an optimistic scenario, coastline ecological restoration projects would deliver enormous well-being to Zhejiang and even China. Our results suggested that making decisions should be based on the net value after accounting for costs (NES), because ignoring costs might mislead planners to overstate the perceived benefits. The study provided a realistic data basis and method for coastline restoration projects in terms of the design, implementation and effectiveness evaluation to achieve sustainable development.

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Lu, Yi, Fumin Ren, and Weijun Zhu. "Risk zoning of typhoon disasters in Zhejiang Province, China." Natural Hazards and Earth System Sciences 18, no. 11 (November 8, 2018): 2921–32. http://dx.doi.org/10.5194/nhess-18-2921-2018.

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Abstract. In this paper, typhoon simply means tropical cyclone. As risk is future probability of hazard events, when estimated future probability is the same as historical probability for a specific period, we can understand risk by learning from past events. Based on precipitation and wind data over the mainland of China during 1980–2014 and disaster and social data at the county level in Zhejiang Province from 2004 to 2012, a study on risk zoning of typhoon disasters (typhoon disasters in this paper refer to affected population or direct economic losses caused by typhoons in Zhejiang Province) is carried out. Firstly, characteristics of typhoon disasters and factors causing typhoon disasters are analyzed. Secondly, an intensity index of factors causing typhoon disasters and a population vulnerability index are developed. Thirdly, combining the two indexes, a comprehensive risk index for typhoon disasters is obtained and used to zone areas of risk. The above analyses show that southeastern Zhejiang is the area most affected by typhoon disasters. The annual probability of the occurrence of typhoon rainstorms >50 mm decreases from the southeast coast to inland areas, with a maximum in the boundary region between Fujian and Zhejiang, which has the highest risk of rainstorms. Southeastern Zhejiang and the boundary region between Zhejiang and Fujian provinces and the Hangzhou Bay area are most frequently affected by extreme typhoon winds and have the highest risk of wind damage. The population of southwestern Zhejiang is the most vulnerable to typhoons as a result of the relatively undeveloped economy, mountainous terrain and the high risk of geological disasters in this region. Vulnerability is lower in the cities due to better disaster prevention and reduction strategies and a more highly educated population. The southeast coastal areas face the highest risk of typhoon disasters, especially in the boundary region between Taizhou and Wenzhou cities. Although the inland mountainous areas are not directly affected by typhoons, they are in the medium-risk category for vulnerability.

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Rajput, Shahjahan, Xiao Yue Hong, Agha Mushtaq Ahmed, Muhammad Haroon Hullio, Shahnawaz Khuhro, and Javeed Shabbir Dar. "Description of a new species in the Genus Cosella Newkirk and Keifer (Acari: Eriophyidae) From China." Volume 4 Issue 2, Volume 4 Issue 2 (December 31, 2021): 1–6. http://dx.doi.org/10.34091/ajls.4.2.1.

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Eriophyoid mites are the most common groups of phytophagous mites found on various plants in Zhejiang Province of China. These mites are usually found on agricultural, horticultural, ornamental, and medicinal plants, including fruit and forest trees. Zhejiang Province is famous for its renowned mountains consist of Yandang, Putuo, Xuedou, Tianmu, Tiantai and Qingliang covered with green forest and wide range of vegetation due to which it is called as a treasure house of plants in China, which provide ecologically suitable living environment for eriophyoids species richness. Because of the diversity of host plants in Zhejiang Province, there is a dire need to investigate the presence of these minute creatures-especially those species that can be harmful to economic crops. Prior to this study genus Cosella Newkirk and Keifer held 43 species worldwide. Further one new leaf vagrant eriophyoid mite species in the genus Cosella was found from Zhejiang Province, China. A survey was carried out to determine the eriophyid mite fauna on natural vegetation of Linan City, Zhejiang Province China. One new species Cosella linanensis sp. nov. is described and illustrated from Rhododendron ovatum (Ericaceae). There was no apparent damage found on host plants where the new species was collected. Keywords: Acari, phytophagous, Prostigmata, taxonomy, Tianmu, Qingliang

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LIANG, JIAMIN, ALEXEY V. SOLOVYEV, and HOUSHUAI WANG. "Two new species of the genus Microleon (Lepidoptera: Limacodidae) from China." Zootaxa 5175, no. 1 (August 15, 2022): 137–45. http://dx.doi.org/10.11646/zootaxa.5175.1.7.

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Two new species of the genus Microleon Butler, 1885, Microleon dianensis sp. nov. from Yunnan Province, China and Microleon simingensis sp. nov. from Zhejiang and Sichuan Provinces, China are described. Photographs of adults and male genitalia of these new species are provided, with a key to all currently known species of Microleon. The validity of new species is well supported by the molecular analysis of the fragment of mitochondrial cytochrome c oxidase subunit I (COI).

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Zhao, Mingzhen, Qian Duan, Xiayang Shen, and Shaoyong Zhang. "Climate Change Influences the Population Density and Suitable Area of Hippotiscus dorsalis (Hemiptera: Pentatomidae) in China." Insects 14, no. 2 (January 28, 2023): 135. http://dx.doi.org/10.3390/insects14020135.

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Hippotiscus dorsalis is the main pest of Phyllostachys edulis in South China. The relationship between climate change and outbreak of H. dorsalis, and the current and future distribution of H. dorsalis are unknown. This study aimed to confirm the effect of climate on population density and the attacked bamboo rate of H. dorsalis, using field survey data from 2005 to 2013 in Huzhou, Zhejiang Province, and to reveal the potential distribution of H. dorsalis under current and future climate conditions using the MaxEnt model. The damage investigation and distribution forecast revealed the following: (1) The mean monthly temperature and maximum temperatures were main factors affecting the population density and the attacked bamboo rate in April in the Anji county of Zhejiang Province; they are all significantly and positively correlated. (2) High suitable area will significantly expand in Anhui and Jiangxi Provinces under the future climate circumstances, and the total suitable area will present a decrease because of the precipitation restriction. The significant expansion of high suitable area in the Anhui and Jiangxi Provinces under future climate circumstances means that the affected provinces will face even greater challenges. These findings provide a theoretical basis for the early forecasting and monitoring of pest outbreaks.

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Zhao, Xiaohui, Feng Gui, Venkata Subrahmanyam Mantravadi, and Liuzhu Wang. "Salinity Variations over Zhejiang Province Waters, China." OALib 05, no. 05 (2018): 1–12. http://dx.doi.org/10.4236/oalib.1104562.

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Wang, Pingbo, Liuzhu Wang, and Mantravadi Venkata Subrahmanyam. "Sea Level Variations of Zhejiang Province, China." OALib 07, no. 05 (2020): 1–12. http://dx.doi.org/10.4236/oalib.1106409.

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Pan, Junhang, Chunfu Fang, Juying Yan, Hao Yan, Bingdong Zhan, Yi Sun, Ying Liu, et al. "Chikungunya Fever Outbreak, Zhejiang Province, China, 2017." Emerging Infectious Diseases 25, no. 8 (August 2019): 1589–91. http://dx.doi.org/10.3201/eid2508.181212.

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Xu, F., and H. Y. Liu. "Crickets (Orthoptera: Grylloidea) from Zhejiang Province, China." Far Eastern entomologist 394 (November 12, 2019): 25–36. http://dx.doi.org/10.25221/fee.394.2.

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Zhu, Hanjie, M. V. Subrahmanyam, and Qiyan Ji. "Sea level variations of Zhejiang province, China." IOP Conference Series: Materials Science and Engineering 780 (April 10, 2020): 062051. http://dx.doi.org/10.1088/1757-899x/780/6/062051.

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Chen, X. Y., D. J. Dai, S. F. Zhao, Y. Shen, H. D. Wang, and C. Q. Zhang. "Genetic Diversity of Colletotrichum spp. Causing Strawberry Anthracnose in Zhejiang, China." Plant Disease 104, no. 5 (May 2020): 1351–57. http://dx.doi.org/10.1094/pdis-09-19-2026-re.

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Anthracnose is a serious fungal disease that primarily infects strawberry roots and stolons during development. Here, 91 isolates from different areas of Zhejiang province, China, were collected. Morphological characteristics were analyzed, and a phylogenetic analysis based on multiple genes (actin, internal transcribed spacer, calmodulin, glyceraldehyde-3-phosphate dehydrogenase, and chitin synthase) was performed. We found that all of the Colletotrichum species causing strawberry anthracnose belonged to the Colletotrichum gloeosporioides complex. Among them, we identified 48 isolates of C. fructicola, 21 isolates of C. siamense, 13 isolates of C. gloeosporioides, and 9 isolates of C. aenigma. C. siamense was distributed in the central and eastern regions of Zhejiang province (Hangzhou, Jinhua, Shaoxing, Ningbo, and Taizhou). This is the first report of C. siamense causing strawberry anthracnose in Zhejiang province. C. fructicola was the most dominant species causing strawberry anthracnose in Zhejiang province. We identified the four species causing strawberry anthracnose in Zhejiang province, which will improve our understanding of the strawberry anthracnose epidemic and will benefit the development of future control measures.

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Gu, Yuxuan, Hao Zhang, Shahmir H. Ali, Minzhuo Huang, Jingming Wei, Shuyan Gu, Xuemei Zhen, Xiaoqian Hu, Xueshan Sun, and Hengjin Dong. "Social Determinants of Health-Related Quality of Life among Residents in Zhejiang and Qinghai, China." International Journal of Environmental Research and Public Health 16, no. 8 (April 12, 2019): 1314. http://dx.doi.org/10.3390/ijerph16081314.

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Social determinants are closely related to health and play a significant role in shaping the quality of life of a population. This study aimed to explore the differences in HRQoL (health-related quality of life) scores of residents in the eastern province of Zhejiang and the western province of Qinghai and probe factors affecting the HRQoL among the two populations. A sample of 4210 residents from a cross-sectional survey was included in the analysis. The EQ-5D-3L instrument was used to measure the HRQoL of residents. A Chi-square test and a t-test were used to examine the differences between different variables and analysis of variance (ANOVA) with interaction effects was used to analyze factors associated with the HRQoL between the two provinces. Residents’ EQ-5D index score (EQ VAS score) was 0.963 (82.71) and 0.962 (81.51), respectively, in Zhejiang and Qinghai. Generally, residents in Qinghai displayed significantly worse HRQoL scores than those in Zhejiang. The differences between the two regions lay on mobility, pain/discomfort, and anxiety/depressions. In both regions, an increased education level and being employed were most strongly associated with a positive HRQoL; increased age and presence of chronic diseases were most strongly associated with a negative HRQoL. When formulating health policies, the significant health disparities between western and eastern provinces must be given greater consideration. The health of vulnerable groups should be particularly focused on to improve the observed health disparities.

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Zhu, Ying, Tianhao Cui, Yanzheng Liu, Shizhong Yang, and Hongxia Du. "Inter-sectoral CO2 flows implied in trade for Zhejiang Province, China." E3S Web of Conferences 267 (2021): 01029. http://dx.doi.org/10.1051/e3sconf/202126701029.

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The transfer of carbon dioxide (CO2) implied in inter-sectoral trade is significantly affecting the process of reducing CO2 emissions in China. This phenomenon also affects Zhejiang Province, which has the top five GDP in China. In this study, a universal modeling system is developed to clarify CO2 emission reduction responsibilities and visualize relationships of each pair of transfers in Zhejiang Province. The system includes “three modules”, namely input-output module, CO2 emission factor module and ecological network module. The proposed modelling system is employed for sectors of Zhejiang province. Research results demonstrate that industry should assume more responsibility for emission reduction; the existing development models of various industries need to be further adjusted. Achievements of this research will provide a scientific reference and a strong basis for decision-makers to formulate reasonable emission reduction policies in Zhejiang Province.

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Na, Qin, Yaping Hu, Zewei Liu, Hui Zeng, Liangliang Qi, Hui Ding, Xianhao Cheng, and Yupeng Ge. "The first reported occurrence of Leucoinocybe (Porotheleaceae, Agaricales) in China: Leucoinocybe lishuiensis sp. nov. from Zhejiang Province." Nova Hedwigia 113, no. 3-4 (November 25, 2021): 453–69. http://dx.doi.org/10.1127/nova_hedwigia/2021/0661.

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Xu, Dan. "Research on the Development Strategy of Forest Health Tourism in Zhejiang Province based on Tourists' Needs." International Journal of Education and Humanities 6, no. 1 (November 28, 2022): 207–11. http://dx.doi.org/10.54097/ijeh.v6i1.3099.

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With the improvement of people's living standards and the upgrade of consumers’ need, people pursue healthy travel, consumption, and a livable living environment. Therefore, health tourism has increasingly become a new way of tourism, which is more and more favored and recognized by society. Moreover, the increase in the number of sub-healthy people and the age of population have also prompted people's needs for health tourism. China is vast, and natural recreation environment such as coastal, forests, grasslands, and lakeside provides a solid foundation for the development of different characteristics of health tourism in various places. With rich forest tourism resources, Zhejiang Province has become one of the provinces that nationwide to carry out pilot piloting of forest health tourism. This article analyzes the development status of the Zhejiang forest health tourism and the survey of tourists on the needs of forest health tourism, Which is based on literature research, field survey, and questionnaire surveys. This article finally puts forward reference suggestions on the development of forest health tourism in Zhejiang Province.

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Luo, Hongyun, and Xiangyi Lin. "Dynamic Analysis of Industrial Carbon Footprint and Carbon-Carrying Capacity of Zhejiang Province in China." Sustainability 14, no. 24 (December 15, 2022): 16824. http://dx.doi.org/10.3390/su142416824.

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In studying the industrial carbon emissions in Zhejiang Province from 2015 to 2019, this paper calculates the carbon footprint, carbon-carrying capacity, net carbon footprint, and carbon footprint intensity of Zhejiang Province. The methods are recommended in the 2006 IPCC Guidelines for National Greenhouse Gas Inventories. The results show that (1) raw coal accounts for the highest proportion of carbon footprint in Zhejiang Province; (2) overall carbon-carrying capacity is stable first and then significantly increases, and forest land is the main carbon carrier; (3) the value of net carbon footprint is positive, which shows that the carbon-carrying capacity in the ecological environment is gradually increasing; and (4) the carbon footprint intensity of Zhejiang Province is reduced, and the energy utilization efficiency is improved. It shows that the carbon emission reduction policy of Zhejiang Province has made great achievements, but the per capita carbon footprint is far higher than the world average. According to the above analysis results, this paper puts forward four countermeasures and suggestions.

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Wang, Anan, Zheng Pang, Lin Liu, Qianwen Ma, Yize Han, Zhijie Guan, Hao Qin, and Guoyu Niu. "Detection and Phylogenetic Analysis of a Novel Tick-Borne Virus in Yunnan and Guizhou Provinces, Southwestern China." Pathogens 10, no. 9 (September 5, 2021): 1143. http://dx.doi.org/10.3390/pathogens10091143.

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Dabieshan tick virus (DTV) is a novel tick-borne virus with the potential to infect both animals and humans. It has been confirmed that DTV is widely distributed in Shandong and Zhejiang Provinces. In this study, a total of 389 ticks were sampled from Honghe city of Yunnan Province and Bijie city of Guizhou Province, and then divided into 148 pools according to the location and species. QRT-PCR and nested PCR were performed to confirm the presence of DTV. The results showed a minimum infection rate of 2.43% (5/206) in Yunnan Province and 3.28% (6/183) in Guizhou Province, respectively. Interestingly, DTV was identified in Rhipicephalusmicroplus for the first time besides Haemaphysalis longicornis. Phylogenetic analysis showed that DTV from Yunnan and Guizhou Provinces shared over 94% identity with isolates derived from Hubei and Shandong Provinces, and DTV was relatively conservative in evolutionary dynamics. These findings provide molecular evidence of Dabieshan tick virus in different species of ticks from unrecognized endemic regions and suggest that DTV may be widely prevalent in southwestern China.

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Yu, Congda, Zhihai Chen, Lianyuan Chen, and Pingguo He. "The rise and fall of electrical beam trawling for shrimp in the East China Sea: technology, fishery, and conservation implications." ICES Journal of Marine Science 64, no. 8 (September 18, 2007): 1592–97. http://dx.doi.org/10.1093/icesjms/fsm137.

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Abstract Yu, C., Chen, Z., Chen, L., and He, P. 2007. The rise and fall of electrical shrimp beam trawling in the East China Sea: technology, fishery, and conservation implications. – ICES Journal of Marine Science, 64: 1592–1597. Since the 1980s, shrimp beam trawling has flourished in inshore waters of the East China Sea (ECS) off Zhejiang Province. By 2000, there were more than 10 000 beam trawlers operating in the area. The fishery targets several species of shrimp, including Parapenaeopsis hardwickii, Solenocera crassicornis, Parapenaeus fissuroides, and Trachypenaeus curvirostris. In the early 1990s, electrical beam trawls using pulse generators, powered either from the vessel or from underwater battery packs, became popular in the fishery. As a result of this new technology, the catch rates of shrimp, especially the burrowing shrimp species, increased. At its peak usage, there were more than 3000 vessels using electrical beam trawls in Zhejiang Province and another 500 or more in the adjacent provinces of Jiangsu and Fujian. This technology was also widespread along the Chinese coast, but a lack of regulation resulted in the misuse of electrical pulse parameters that caused damage to juvenile shrimps and other benthic species. In 2001, this fishing method was banned from the waters off Zhejiang Province, and subsequently in other parts of the ECS. This paper reviews the research on electrical beam trawls, the fishery, and fishery-management issues associated with this new technology.

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Shu, Yuexuan, Jiwei Chen, Yifan Huang, and Weiqi Fu. "Sustainable Approaches to Realize Carbon Neutrality in China: A Case Study of Zhejiang Province." Journal of Marine Science and Engineering 10, no. 10 (September 22, 2022): 1351. http://dx.doi.org/10.3390/jmse10101351.

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With the continuous development of industry, the massive emission of carbon dioxide (CO2) has become a global challenge that cannot be ignored due to its nature as the primary driver of global climate change and environmental crisis. Carbon neutrality is proposed as a global initiative to mitigate climate change. As a developing industrial country, China provides about one-third of global carbon emissions and has set a carbon-neutral goal by 2060. To achieve this goal, continuous efforts across the country are required. In this review, Zhejiang Province, one of the most developed regions in China, is set as a model for analysis. We first summarize the current situation of carbon emission in Zhejiang Province. Then, corresponding sustainable approaches such as ecological and industrial solutions for the reduction of future carbon emissions are introduced for Zhejiang Province. We also provide a direction for the realization of carbon neutrality, focusing on the most promising solutions for Zhejiang Province.

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Zheng, Simin, Xiaorui He, Xian Liang, and Liyan Yu. "Research on the Decoupling Relationship and Driving Factors of Carbon Emissions in the Construction Industry of the East China Core Economic Zone." Buildings 14, no. 5 (May 18, 2024): 1476. http://dx.doi.org/10.3390/buildings14051476.

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This study focuses on the core economic zone of East China, utilizing the decoupling model to investigate the relationship between carbon emissions and economic development in the construction industry. Furthermore, it analyzes the driving factors through the application of the logarithmic mean index method. The findings reveal that, firstly, Zhejiang and Jiangsu provinces exhibit higher total carbon emissions in the construction industry. Except for Fujian Province, the other regions exhibit a downward trend after 2019. Secondly, there is considerable spatial variability in carbon emissions in the construction industry within the core economic zone of East China, and it gradually decreases over the study period. While economically developed regions like Zhejiang and Jiangsu provinces tend to concentrate and consume more resources and energy, their impact on surrounding neighboring provinces or cities is relatively limited. Thirdly, carbon emissions from the construction industry in the core economic zone of East China show a development trend shifting from weak decoupling to strong decoupling, indicating a healthy growth in the construction industry. Specifically, different regions show different trends. Lastly, regarding influencing factors, the impact direction of carbon intensity on total carbon emissions shows instability. Energy intensity consistently exhibits inhibitory effects, and the economy and the population scale act as driving forces.

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Wang, Xiaoguang, Shuzheng Chen, Yongliang Lei, Keda Chen, Yanjun Zhang, and Qing Tang. "Complete genome sequences of two rabies virus isolates indicate Chinese ferret badger as a new natural inherent host." Journal of Applied Virology 2, no. 2 (April 2, 2013): 8. http://dx.doi.org/10.21092/jav.v2i2.3.

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The genome sequences of four rabies virus strains isolated from Chinese Ferret Badger and dogs in Zhejiang Province, China were determined. The overall organization and length of the genome was similar to each other among those rabies virus isolates. Comparative sequence analysis shows 99.5% identity at nucleotide level and fewer changes of deduced amino acids sequence between the rabies virus isolates from Chinese Ferret Badger and the dog. The results of multisequence identity analysis and phylogenetic analysis demonstrated that Chinese Ferret Badger Rabies virus isolate in Zhejiang province belongs to species 1 with unique Chinese regional characteristics, which suggests that Chinese Ferret Badger as a new natural inherent host to rabies virus wild strain in Zhejiang province, China.

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Yu, Chongni. "The Washback of the New Writing Tasks in China’s National Matriculation English Test." English Language Teaching 13, no. 1 (December 19, 2019): 99. http://dx.doi.org/10.5539/elt.v13n1p99.

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The reform of National College Entrance Examination in Zhejiang Province, China has aroused widespread attention since it was released in 2014. It is notable that new English writing test types were adopted in the English subtest. The continuation task and summary writing become a challenge as well as a promoter for English writing teaching and learning. This study aims to explore the washback effect of the reformed English writing test on the teaching and learning of English writing in high school in Zhejiang, China. Through the method of questionnaire and interview with both teacher and student participants, it was found that the new types of writing test, especially the continuation task, are better at reflecting students’ actual English proficiency and improving students’ writing and reading ability, compared with the writing tests before the reform. However, the study also demonstrated that some negative effects might be caused due to practical issues. It is expected that this study will shed some light on the teaching and learning of English writing in high school and become a reference for any further educational reforms in Zhejiang and other provinces in China.

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Gong, Junxi, and Liya Xu. "The Driving effect of industrial upgrading on new-type urbanization in Zhejiang Province." Journal of Theory and Practice of Management Science 4, no. 03 (April 2, 2024): 44–54. http://dx.doi.org/10.53469/jtpms.2024.04(03).07.

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The process of urbanization is supported by the economic foundation and accompanied by the upgrading of industrial structure. At present, the new-type urbanization of Zhejiang is in the stage of rapid development, and the upgrading of industrial structure is continuously and stably advanced and rational. Urban and rural development and urban construction are gradually moving towards a higher level. Therefore, it is of great significance to explore the driving effect of industrial upgrading on the new-type urbanization in Zhejiang Province for studying how to further promote the new-type urbanization process in China. Based on the analysis of industrial structure upgrading and urbanization in Zhejiang Province, this paper adopts the entropy weighting method to comprehensively evaluate the new-type urbanization level of each city in Zhejiang Province. Using panel data from 2009 to 2018, empirical analysis is made on the influencing factors of new-type urbanization level score of each city in Zhejiang Province. The influence of industrial structure upgrading index and other factors on the new-type urbanization level in Zhejiang province is obtained, which provides reference for Zhejiang and other regions to guide the industrial upgrading and improve the new-type urbanization development level.

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Wang, Ji-Shen, Xiao-Tong Gao, and Bao-Zhen Hua. "Two new species of the genus Panorpa (Mecoptera, Panorpidae) from eastern China and a new synonym." ZooKeys 874 (September 9, 2019): 149–64. http://dx.doi.org/10.3897/zookeys.874.36314.

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Panorpa Linnaeus, 1758 is the largest genus in the scorpionfly family Panorpidae. Herein we describe two new species from eastern China, Panorpa jinhuaensissp. nov. from Jinhua, Zhejiang Province and Panorpa menqiuleiisp. nov. from Yuexi and Huoshan, Anhui Province. Panorpa wrightae Cheng, 1957 from Mount Mogan, Zhejiang Province is considered to be a junior subjective synonym of Panorpa mokansana Cheng, 1957 from the same locality. Panorpa mokansana Cheng, 1957 is redescribed and illustrated in detail. A key to species of Panorpa from eastern China is also provided.

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Zhong, Haidong, Jinhui Zhang, Shaozhong Zhang, and Wen Zheng. "Study on Spatial Imbalance and Determinants of E-Commerce Development in Zhejiang, China." Mathematical Problems in Engineering 2021 (January 18, 2021): 1–12. http://dx.doi.org/10.1155/2021/6687229.

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As a world-famous and well-developed e-commerce region, the development of e-commerce in Zhejiang province has always attracted people’s wide attention. Based on publicly available e-commerce transaction-related data, basic geographic data, and regional economic and social development data, we use the Gini coefficient to measure the imbalance of e-commerce development in Zhejiang province during 2017–2019. With the help of spatial analyst tools in ArcGIS desktop, the cluster and outlier analysis method is used to study the spatial pattern of e-commerce development in the province at the district or county-level city scale. To explore the causes of spatial aggregation and imbalance of e-commerce in Zhejiang province quantitatively, the paper proposes a geographical weighted regression (GWR) model with 15 economic and social development-related indicators. GWR and ordinary least squares (OLS) analysis indicate that 5 of the 15 selected indicators are highly related to the development of regional e-commerce development in Zhejiang, China.

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Ren, Yida. "Comprehensive Analysis of the Socio-Economic Situation of Zhejiang Province." Frontiers in Business, Economics and Management 15, no. 2 (May 27, 2024): 253–58. http://dx.doi.org/10.54097/yzq7vg98.

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Socialism with Chinese characteristics has entered a new era, and achieving high-quality economic development is an important task for building a modern socialist country in an all-round way. The report of the 20th National Congress of the Communist Party of China pointed out that consumption and disposable income play a key role in economic development. This paper uses two statistical analysis methods, descriptive statistics and linear regression analysis, and analyzes the socio-economic and economic situation of Zhejiang Province in China according to the economic and social development index of residents' disposable income, and analyzes the problems of economic and social development faced by Zhejiang Province and discusses solutions, so as to promote the comprehensive, sustainable and healthy social and economic development of Zhejiang Province.

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Wang, Xuanli, Huifang Yu, Yiqun Wu, Congyue Zhou, Yonghua Li, Xingyu Lai, and Jiahao He. "Spatio-Temporal Dynamics of Carbon Emissions and Their Influencing Factors at the County Scale: A Case Study of Zhejiang Province, China." Land 13, no. 3 (March 17, 2024): 381. http://dx.doi.org/10.3390/land13030381.

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Significant carbon emissions, a key contributor to global climate warming, pose risks to ecosystems and human living conditions. It is crucial to monitor the spatial and temporal patterns of carbon emissions at the county level to reach the goals of carbon peak and neutrality. This study examines carbon emissions and economic and social problems data from 89 counties in Zhejiang Province. It employs analytical techniques such as LISA time path, spatio-temporal transition, and standard deviational ellipse to investigate the trends of carbon emissions from 2002 to 2022. Furthermore, it utilizes the GTWR model to evaluate the factors that influence these emissions on a county scale. The findings reveal the following: (1) The LISA time path analysis indicates a pronounced local spatial structure in the distribution of carbon emissions in Zhejiang Province from 2002 to 2022, characterized by increasing stability, notable path dependency, and some degree of spatial integration, albeit with a diminishing trend in overall integration. (2) The LISA spatio-temporal transition analysis indicates significant path dependency or lock-in effects in the county-level spatial clustering of carbon emissions. (3) Over the period 2002–2022, the centroid of carbon emissions in Zhejiang’s counties mainly oscillated between 120°55′15″ E and 120°57′01″ E and between 29°55′52″ N and 29°59′11″ N, with a general northeastward shift forming a “V” pattern. This shift resulted in a stable “northeast–southwest” spatial distribution. (4) Factors such as population size, urbanization rate, and economic development level predominantly accelerate carbon emissions, whereas industrial structure tends to curb them. It is crucial to customize carbon mitigation plans to suit the circumstances of each county. This study provides insight into the spatial and temporal patterns of carbon emissions at the county level in Zhejiang Province. It offers crucial guidance for developing targeted and practical strategies to reduce carbon emissions.

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Cao, Feifeng, Huangyuan Wang, Conglin Zhang, and Weibo Kong. "Social Vulnerability Evaluation of Natural Disasters and Its Spatiotemporal Evolution in Zhejiang Province, China." Sustainability 15, no. 8 (April 8, 2023): 6400. http://dx.doi.org/10.3390/su15086400.

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Natural disasters present a significant challenge to the productivity of Zhejiang Province. This paper is the first to evaluate social vulnerability to natural disasters in Zhejiang Province and provides a scientific foundation for disaster prevention, mitigation, and risk management. In this paper, we construct an indicator system for evaluating social vulnerability of natural disasters in Zhejiang Province through demand analysis, frequency analysis, and applicability analysis. The methodology employed in this paper reduces errors arising from subjective indicator selection and provides a reference for future international research on evaluating social vulnerability to natural disasters. This study analyzes the spatiotemporal evolution of social vulnerability to natural disasters in 11 cities from 2011 to 2020. The results indicate an overall downward trend of social vulnerability to natural disasters in Zhejiang. Social vulnerability to natural disasters exhibits significant spatial variability. The evaluation can help to bridge the knowledge gap regarding the social vulnerability of Zhejiang Province to natural disasters. The analysis of the spatiotemporal evolution of social vulnerability provides insights into the contributing factors to vulnerability and the effectiveness of past disaster management strategies. The findings of this study can serve as a valuable reference for future research in Zhejiang Province and other regions facing similar challenges. The results can contribute to the advancement of comprehensive knowledge of social vulnerability to natural disasters, which can inform the development of policies and strategies aimed at mitigating disaster risk and promoting effective disaster management globally.

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Forster, Keith. "Provincial Profiles of Tea in China: Zhejiang Province." Chagyo Kenkyu Hokoku (Tea Research Journal), no. 76 (1992): 81–86. http://dx.doi.org/10.5979/cha.1992.76_81.

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KALB, KLAUS, and ZE-FENG JIA. "New species of Graphidaceae from Zhejiang Province, China." Phytotaxa 189, no. 1 (December 19, 2014): 147. http://dx.doi.org/10.11646/phytotaxa.189.1.10.

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Four species of the lichen family Graphidaceae from Zhejiang Province, China, are described as new, namely Fissurina baishanzuensis, with hemithecioid ascomata, an entire, dark orange brown exciple and broadly ellipsoid muriform ascospores; F. subundulata, distinguished by hemithecioid ascomata, an entire, dark orange brown exciple and ellipsoid, muriform ascospores which are distinctly larger than in F. baishanzuensis; Graphis jinhuana, distinguished by mostly unbranched erumpent ascomata with a lateral thalline margin, open, non-pruinose discs, a laterally carbonized exciple, 7–9-septate ascospores and producing norstictic acid; and Graphis pananensis with irregularly branched ascomata with a lateral thalline margin, a concealed disc, a completely carbonized exciple, 7–9-septate ascospores and without secondary chemistry.

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Xin-Wei, Z., L. Li-Qun, Z. Xue-Hai, G. Jun-Xiang, P. Xue-Dong, C. Aldinger, Y. Sen-Hai, and J. Jones. "Health-promoting school development in Zhejiang Province, China." Health Promotion International 23, no. 3 (April 11, 2008): 220–30. http://dx.doi.org/10.1093/heapro/dan021.

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Xu, Yue, ShuiYang Xu, QingQing Wu, and YuJie Guo. "Tobacco Knowledge among Adults in Zhejiang Province, China." PLoS ONE 8, no. 3 (March 20, 2013): e59172. http://dx.doi.org/10.1371/journal.pone.0059172.

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Journal articles on the topic 'Zhejiang (Chine ; province)'

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