Journal articles: 'Zhejiang Province'

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Qiu, Pengcheng. "Research on the Construction Path Based on the Framework of Zhejiang Territorial and Spatial Planning System." E3S Web of Conferences 276 (2021): 02001. http://dx.doi.org/10.1051/e3sconf/202127602001.

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In order to effectively improve the construction level of Zhejiang Province’s territorial and spatial system and its spatial governance capabilities, it is necessary to redeploy the province’s territorial and spatial planning based on the actual development of Zhejiang Province. With the rapid advancement of the urban integration work in Zhejiang Province, the increasingly prominent problems such as the deterioration of the ecological environment, the chaotic order of land use, and the large differences in regional development have made land and space development and governance more difficult. In order to effectively improve this situation, this article Taking Zhejiang Province as an example, the author discussed the basic path of constructing the framework of Zhejiang’s territorial and spatial planning system, hoping to play a certain role in promoting Zhejiang’s territorial and spatial planning.

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Qi, Shanzhong, Zhilei Huang, and Lina Ji. "Sustainable Development Based on Green GDP Accounting and Cloud Computing: A Case Study of Zhejiang Province." Scientific Programming 2021 (September 23, 2021): 1–8. http://dx.doi.org/10.1155/2021/7953164.

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Cloud computing is a supercomputing that integrates large-scale and scalable computing, storage, data, applications, and other distributed computing resources for collaborative work in the form of virtualization technology as the basis and the network as the carrier to provide infrastructure, platform, software, and other service’s model. Green GDP (GGDP) is an assessment indicator for regional sustainable development. Hence, the evaluation index on GGDP and greening of the national economic accounting system (SNA) are the hotspots of current ecological and economic studies. In the recent years, Zhejiang’s economy has achieved rapid development, and there are also problems of high input and high consumption of natural resources, thereby restricting its sustainable development. Based on the statistical data of Zhejiang Province during 2000–2017, the GGDP within the sustainable development context is calculated using the system of integrated environmental and economic accounting (SEEA). The results indicated the following: (1) The GGDP accounted for 79.29%–96.78% of Zhejiang's GDP during the study period, which showed volatility upward trend, resulting from the significant environmental protection and conservation of natural resources in the study area. But economic development was heavily dependent on resources, and the local government still strengthened the work of improving resources and environment. (2) The proportion of secondary industry in Zhejiang Province fluctuated downwards during the period of 2000–2017, and the tertiary industry showed a volatility upward trend, which exceeded the proportion of the secondary industry, indicating that Zhejiang Province is from an industry-led economy to a service-oriented economy change. (3) The GGDP of Zhejiang Province accounted for the highest proportion of GDP in 2008, resulting from the result of a combination of relevant national policies and international competitions.

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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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Xu, Minghua, Jinqi Chen, and Haibo Bao. "Enterprise patenting in Zhejiang province." Innovation 8, no. 1-2 (July 2006): 144–52. http://dx.doi.org/10.5172/impp.2006.8.1-2.144.

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Xu, Minghua, Jinqi Chen, and Haibo Bao. "Enterprise patenting in Zhejiang province." Innovation: Management, Policy & Practice 8, no. 1 (June 2006): 144–52. http://dx.doi.org/10.5172/impp.2006.8.1.144.

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Xu, Minghua, Jinqi Chen, and Haibo Bao. "Enterprise patenting in Zhejiang province." Innovation: Management, Policy & Practice 8, no. 1 (June 2006): 153–59. http://dx.doi.org/10.5172/impp.2006.8.1.153.

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Lin, Jiayi. "Problems and Solutions in the Construction of New Think Tanks with Chinese Characteristics: A Case Study of Zhejiang Province." Modern Management Forum 4, no. 3 (September 18, 2020): 58. http://dx.doi.org/10.18686/mmf.v4i3.2305.

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<p>The establishment and development of a new type of think tank system is an important means and guarantee for the scientific and democratic decision-making of modern countries. Zhejiang Province, as a relatively developed area of China’s economy, should follow and lead the trend. It is supposed to vigorously promote the construction of new think tanks with Chinese characteristics to help the state and Zhejiang government formulate more scientific and effective policies, as well as the modernization of national governance system and governance capacity. There are some problems in the construction of new think tanks in Zhejiang Province. Zhejiang Province should strengthen the construction of think tank, build new think tanks with characteristics and influence, so as to improve the comprehensive level of new think tanks in Zhejiang Province.</p>

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Wang, Lin, Mengfan Shao, Yeqian Jiang, and Qianqian Chen. "Research on Zhejiang Province's Textile and Apparel Export Based on SWOT Analysis." Advances in Economics and Management Research 1, no. 2 (September 20, 2022): 11. http://dx.doi.org/10.56028/aemr.1.2.11.

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The textile and garment industry, as a vigorously developed industry in Zhejiang Province, ranks first in China's exports.In line with the development of the times, how to develop and developing the textile and garment export market at home and abroad is an urgent problem to be solved in the economic development of Zhejiang Province. It is related to the future development direction of my country's textile and garment industry.This paper uses the SWOT analysis method to analyze the export of the textile and apparel industry in Zhejiang Province and puts forward the countermeasures for improving the competitiveness of the textile and apparel industry in Zhejiang Province.

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Wang, Lin, Mengfan Shao, Yeqian Jiang, and Qianqian Chen. "Research on Zhejiang Province's Textile and Apparel Export Based on SWOT Analysis." Advances in Economics and Management Research 2, no. 1 (September 20, 2022): 11. http://dx.doi.org/10.56028/aemr.2.1.11.

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The textile and garment industry, as a vigorously developed industry in Zhejiang Province, ranks first in China's exports.In line with the development of the times, how to develop and developing the textile and garment export market at home and abroad is an urgent problem to be solved in the economic development of Zhejiang Province. It is related to the future development direction of my country's textile and garment industry.This paper uses the SWOT analysis method to analyze the export of the textile and apparel industry in Zhejiang Province and puts forward the countermeasures for improving the competitiveness of the textile and apparel industry 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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Li, Yan, and Mengxue Wang. "Research on the Development Countermeasures of Cross-border E-commerce in Zhejiang Province." Advances in Economics and Management Research 1, no. 1 (May 18, 2022): 161. http://dx.doi.org/10.56028/aemr.1.1.161.

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With the rapid popularization of the Internet and the mature development of the e-commerce industry, cross-border e-commerce has become a new economic growth point in Zhejiang Province. In recent years, Zhejiang Province has vigorously promoted the development of cross-border e-commerce, and with its unique geographical advantages and excellent policy support, cross-border e-commerce has developed rapidly, and the development level of cross-border e-commerce ranks among the top in the country. Based on the existing problems in the development of cross-border e-commerce in Zhejiang Province, this paper puts forward targeted suggestions to promote the further development of cross-border e-commerce in Zhejiang Province.

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12

Zhang, Yue-hua. "Agricultural Insurance System in Zhejiang Province." Chinese Economy 44, no. 6 (November 2011): 73–84. http://dx.doi.org/10.2753/1097-1475440606.

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13

Zhangqiao, Yang. "Mercenary Marriages in Rural Zhejiang Province." Chinese Sociology & Anthropology 21, no. 3 (April 1989): 53–69. http://dx.doi.org/10.2753/csa0009-4625210353.

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14

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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Zhan, Chongjiang, Boliang Xu, and Li Cao. "Research on the Development Path of Campus Football in Zhejiang Province." Region - Educational Research and Reviews 3, no. 2 (May 27, 2021): 30. http://dx.doi.org/10.32629/rerr.v3i2.333.

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Through combing the domestic and foreign literature on campus football and using questionnaire surveys, interviews and other methods, a comprehensive analysis of the development path of campus football in Zhejiang Province is conducted. Research conclusions: Regarding the popularization status, Zhejiang campus football penetration rate is regional. High penetration rate is mainly concentrated in eastern Zhejiang, southern Zhejiang, northern Zhejiang and Zhejiang middle-developed cities, and the underdeveloped regions of western Zhejiang need to be strengthened. Regarding the curriculum setting, there is no uniform standard for curriculum setting, and the teaching hours, syllabus, teaching content and teaching evaluation of each school are also different. Regarding the psychological willingness, parents and schools in junior and senior high schools do not support football, but students are more interested in football. And regarding the competition system, there are differences in the campus football competition system between primary and secondary schools and colleges.

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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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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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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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Huang, Liping. "Evaluation and Measurement of the Development Level of Rural Inclusive Finance Using Deep Learning Technology for Supply Chain Intelligence." Information Resources Management Journal 35, no. 3 (July 1, 2022): 1–17. http://dx.doi.org/10.4018/irmj.304448.

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Developing rural inclusive finance and meeting the multi-level financial needs of rural areas is an important means to promote the rapid development of rural economy. Based on the practice of rural inclusive finance in Zhejiang Province, this paper analyzed the development status of rural inclusive finance in Zhejiang Province through questionnaire and interview. According to the evaluation indicator system in the Analysis Report of China’s Inclusive Financial Indicators (2020) released by the People’s Bank of China, this paper designed an indicator system for the development level of rural inclusive finance in Zhejiang Province, and then measured the development level, and concluded the development of rural inclusive finance in Zhejiang Province was in a medium level. The indicator system is based upon deep learning technology which leads to the application areas which are transformed in a successful platform, experiencing research growth and multimodel information growth.

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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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Zhang, Ning, Zichen Wang, Lan Zhang, and Xiao Yang. "Assessment of Water Resources Carrying Risk and the Coping Behaviors of the Government and the Public." International Journal of Environmental Research and Public Health 18, no. 14 (July 20, 2021): 7693. http://dx.doi.org/10.3390/ijerph18147693.

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The carrying capacity of water resources is of great significance to economic and social development, eco-environmental protection, and public health. The per capita water resources in Zhejiang Province is only 2280.8 m3, which is more likely to cause the risk of water resources carrying capacity in the case of water shortage. Therefore, this paper applies Analytic Hierarchy Process-Fuzzy Comprehensive Evaluation and Entropy-Principal Component Analysis to evaluate the vulnerability of disaster-bearers and the risk of disaster-causing factors; it comprehensively evaluates the risk of water resources carrying capacity in Zhejiang Province by constructing risk matrix and ranking scores. The specific results are as follows: According to the comprehensive evaluation of the vulnerability of disaster-bearers in Zhejiang Province from the three aspects of supporting force, regulating force, and pressure, the overall performance was good. In particular, the role of supporting force is the most obvious. In the risk of disaster factors, it was found that industrial structure, climate change, water use efficiency, and population structure have great influence, showing that southern Zhejiang is at a greater risk than northern Zhejiang, and western Zhejiang is at a greater risk than eastern Zhejiang, but the overall score gap is not large. Combining the two results, the order of water resources carrying risk in Zhejiang Province from low to high was Hangzhou, Ningbo, Shaoxing, Jiaxing, Huzhou, Jinhua, Quzhou, Wenzhou, Lishui, Taizhou, and Zhoushan. Finally, according to the development planning of different cities, the coping behaviors of the government and the public regarding water resources carrying risk are put forward.

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Wang, Ji-Kai, Yue He, Li-Li Chen, He-Xiang Zhang, Xiao-Juan Qi, Liang Sun, Shuang-Feng Zhang, Jiang Chen, and Rong-Hua Zhang. "A population-based survey of the prevalence of self-reported acute gastrointestinal illness in Zhejiang Province, China." PLOS ONE 17, no. 5 (May 18, 2022): e0268717. http://dx.doi.org/10.1371/journal.pone.0268717.

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Acute gastrointestinal illness (AGI) is a prevalent public health concern worldwide. This study investigated the magnitude, distribution and burden of self-reported AGI among residents of Zhejiang Province, China. A face-to-face household survey was conducted using a multi-stage stratified random sampling method in 10 counties in Zhejiang Province between July 2018 and June 2019. In total, 12,021 participants were recruited. The prevalence of AGI 28 days after standardization was 1.8% (95% confidence interval (CI), 1.6–2.1), with an incidence rate of 0.24 episodes of AGI per person-year and an estimated 14 million cases of AGI in Zhejiang Province. Univariate and multivariable analyses showed a higher AGI prevalence among people who performed housework and were unemployed in summer and autumn among respondents living in western or northern cities (p < 0.05). More than 50% of AGI cases were attributed to the consumption of contaminated food. The disease burden caused by AGI in Zhejiang Province was approximately 975 million Chinses yuan (CNY). These results indicated that the disease burden of AGI in Zhejiang Province should be addressed and highlights the need for an improved active surveillance system of foodborne diseases to assess the impact of AGI on society and health.

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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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Duan, Wei, Guilei Lin, and Desheng Xu. "Can Inner Mongolia Learn from Zhejiang’s Low-Carbon Policy?—Comparative Analysis Based on the EPS Model." Atmosphere 14, no. 1 (January 12, 2023): 169. http://dx.doi.org/10.3390/atmos14010169.

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Based on the energy policy simulation model (EPS model) and the reality of Zhejiang Province and Inner Mongolia Autonomous Region, the carbon pricing policy scenario and the early retirement policy scenario of coal power generation units were constructed, respectively, and the policy effects simulated. The study explored whether Inner Mongolia Autonomous Region can learn from the low-carbon policies that have played a good role in Zhejiang Province in the process of achieving a carbon peak. The research found that: (1) Under the baseline scenario, both Zhejiang Province and Inner Mongolia Autonomous Region failed to achieve a carbon peak by 2030. (2) Under the scenarios of carbon pricing and early retirement of coal power generation units, the peak time of carbon in Zhejiang Province and Inner Mongolia Autonomous Region has been advanced, which shows the effectiveness of carbon pricing and early retirement of coal power generation units. (3) The above two policies have achieved good results in the overall implementation process of Zhejiang Province, but the carbon pricing policy has caused dramatic fluctuations in the power generation in Inner Mongolia Autonomous Region, and the early retirement policy of coal power units has failed to achieve the goal of reaching the peak carbon in Inner Mongolia Autonomous Region on schedule.

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Yu, Enyan, Zhengluan Liao, Weixing Fan, Weiming Hu, Guoqiang Tian, Ke Chen, Sunke Chen, et al. "The Economic Burden of Alzheimer’s Disease in Zhejiang Province." Journal of Alzheimer's Disease 80, no. 2 (March 23, 2021): 539–53. http://dx.doi.org/10.3233/jad-201285.

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Background: The World Alzheimer Report has described and predicted the economic burden of Alzheimer’s disease (AD) patients in detail for four consecutive years. There was a large-scale national survey in China launched by Professor Jianping Jia in 2015, but it did not adequately represent the average economic burden of AD patients in Zhejiang Province. Objective: To investigate the economic burden and main factors influencing Alzheimer’s disease (AD) in Zhejiang Province. Methods: We recruited 830 patients from 10 cities in Zhejiang Province, evaluated their per capita and total cost related to AD treatment and care in 2017, and analyzed the main factors affecting economic burden from the perspective of demographic characteristics and disease severity. Results: In 2017, per capita cost of AD was 114,343.7 yuan, while the total cost was 27.53 billion yuan, accounting for 0.77% of Zhejiang Province’s GDP (5176.8 billion yuan). Total cost, direct medical cost, and indirect cost have different correlations with age, education level, type of work, marital status, comorbidity, and disease severity. Conclusion: The economic burden of AD in Zhejiang Province is heavy, similar to the national burden, and interventions based on demographic characteristics and disease severity can help reduce it.

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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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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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Luo, Hongyun, and Xiangyi Lin. "Empirical Study on the Low-Carbon Economic Efficiency in Zhejiang Province Based on an Improved DEA Model and Projection." Energies 16, no. 1 (December 27, 2022): 300. http://dx.doi.org/10.3390/en16010300.

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Low-carbon economic efficiency is an important indicator that can be used to measure the quality of regional economic development. In this study, an improved DEA model is introduced into the calculation of low-carbon economic efficiency in Zhejiang Province. Using the actual data of nine prefecture-level cities in Zhejiang Province from 2015 to 2020, the low-carbon economic efficiency of each prefecture-level city is calculated. The result is that the overall low-carbon economic efficiency of Zhejiang Province indicates a trend of first falling and then rising, and the low-carbon economic efficiencies of different prefecture-level cities largely differ. The causes of six inefficient DMUs (prefecture-level cities) are analyzed using projection. The improved DEA model is used to determine the “expansion coefficient” of the input and output of three DMUs (prefecture-level cities) with relatively low-carbon economic efficiency. The research results provide a strong basis and support for the development of a low-carbon economy for Zhejiang Province.

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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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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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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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Zhao, Rongjiao, Xinhai Zhang, and Zhizhang Qiu. "Water Management Platform Construction of Zhejiang Province." IOP Conference Series: Earth and Environmental Science 474 (May 15, 2020): 062018. http://dx.doi.org/10.1088/1755-1315/474/6/062018.

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卫, 威风. "Overview of Strawberry Cultivation in Zhejiang Province." Hans Journal of Agricultural Sciences 08, no. 10 (2018): 1168–71. http://dx.doi.org/10.12677/hjas.2018.810172.

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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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Yan, Yangyang, Hui Lei, Yihong Chen, and Bin Zhou. "Analyzing the Dynamic Spatiotemporal Changes in Urban Extension across Zhejiang Province Using NPP-VIIRS Nighttime Light Data." Remote Sensing 14, no. 13 (July 4, 2022): 3212. http://dx.doi.org/10.3390/rs14133212.

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Nighttime light remote sensing technologies provide methods for studying spatiotemporal changes in urban areas. In this research, we study the changes in the urban zone in Zhejiang Province based on NPP/VIIRS nighttime light data. Moreover, we propose a methodology to extract urban zones through a buffer threshold analysis method and apply the standard deviation ellipse, urban scale increment, “dual-core” primacy and urban-scale Gini index to uncover the evolution of urban dynamics in Zhejiang Province. The results show that the highest overall urban area extraction accuracy was 95.9%; the highest Kappa coefficient was 91%. The nighttime light intensity changes observed in most cities in Zhejiang Province reflected three periods: “high-speed growth” from 2012–2014, “low-speed growth” from 2014–2018 and “high-speed growth” from 2019–2020. The growth rates observed during the 2019–2020 “high-speed growth” period exceeded those of the 2012–2014 period. Over nine years, the growth rates of the total nighttime light values in all cities ranged from 40% to 319%. Third-tier cities such as Quzhou and Lishui showed significant increases. Second-tier cities, such as Jinhua, Huzhou and Taizhou, had growth rates over 100%. From 2012–2014, the development rates increased in cities in southern Zhejiang Province, such as in Wenzhou and Taizhou, thus promoting a southward shift in the center of gravity. After 2014, the development rates increased in cities in northern Zhejiang Province, such as Hangzhou, Ningbo and Jiaxing, thus promoting a northward shift in the center of gravity, with the center stabilizing in the Keqiao District-Yuecheng District of Shaoxing. According to the changes observed in the “dual-core” primacy and urban-scale Gini index results derived from 2012 to 2020, the development of cities in Zhejiang Province has become more balanced over the past nine years.

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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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Zheng, Junlong, Fangjie Mao, Huaqiang Du, Xuejian Li, Guomo Zhou, Luofan Dong, Meng Zhang, Ning Han, Tengyan Liu, and Luqi Xing. "Spatiotemporal Simulation of Net Ecosystem Productivity and Its Response to Climate Change in Subtropical Forests." Forests 10, no. 8 (August 20, 2019): 708. http://dx.doi.org/10.3390/f10080708.

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Subtropical forests have great potential as carbon sinks; however, the relationship between net ecosystem productivity (NEP) and climate change is still unclear. This study took Zhejiang Province, a subtropical region, as an example. Based on remote sensing classification data of forest resources, the integrated terrestrial ecosystem carbon cycle (InTEC) model was used to simulate the spatiotemporal dynamics of the forest NEP in Zhejiang Province during 1985–2015 and analyze its response to meteorological factors such as temperature, precipitation, relative humidity, and radiation. Three patterns emerged: (1) The optimized InTEC model can better simulate the forest NEP in Zhejiang Province, and the correlation coefficient between the simulated NEP and observed NEP was up to 0.75. (2) From 1985 to 2015, the increase in the total NEP was rapid, with an average annual growth rate of 1.52 Tg·C·yr−1. During 1985–1988, the forests in Zhejiang Province were carbon sources. After 1988, the forests turned into carbon sinks and this continued to increase. During 2000–2015, more than 97% of the forests in Zhejiang Province were carbon sinks. The total NEP reached 32.02 Tg·C·yr−1, and the annual mean NEP increased to 441.91 gC·m−2·yr−1. The carbon sequestration capacity of forests in the east and southwest of Zhejiang Province is higher than that in the northeast of Zhejiang Province. (3) From 2000 to 2015, there was an extremely significant correlation between forest NEP and precipitation, with a correlation coefficient of 0.85. Simultaneously, the forest NEP showed a negative correlation with temperature and radiation, with a correlation coefficient of −0.56 for both, and the forest NEP was slightly negatively correlated with relative humidity. The relative contribution rates of temperature, precipitation, relative humidity, and radiation data to NEP showed that the contribution of precipitation to NEP is the largest, reaching 61%, followed by temperature and radiation at 18% and 17%, respectively. The relative contribution rate of relative humidity is the smallest at only 4%. During the period of 1985–1999, due to significant man-made disturbances, the NEP had a weak correlation with temperature, precipitation, relative humidity, and radiation. The results of this study are important for addressing climate change and illustrating the response mechanism between subtropical forest NEP and climate change.

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42

Zhang, Di Ping, Jin Nan Wang, Xiao Ning Zhang, and Jing Wu. "Empirical Study on Energy Consumption and Economic Growth - Evidence from Zhejiang Province." Advanced Materials Research 524-527 (May 2012): 3083–86. http://dx.doi.org/10.4028/www.scientific.net/amr.524-527.3083.

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Taking Zhejiang Province as an example, this paper using statistical data of 1990-2009 makes a statistical analysis of energy consumption and an empirical research on the relationship between economic growth and energy consumption, energy efficiency by the way of metrology analysis. The result shows the relationship between economic growth and energy consumption, energy efficiency in Zhejiang Province is long balanced. There is a two-way causation between economic growth and energy consumption, but only a single causal relationship between economic growth and energy efficiency, namely, GDP grows by 3.4% when energy efficiency grows by 1%. Therefore, we give some advice on energy consumption in Zhejiang Province and the national economy sustainable development.

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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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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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Zhu, Xiao Qing, Tong Jin, and Lu Gan. "Evolution and Construction of the Human Settlement in Mixed - Culture Characteristical Island — A Case Study on Ruoshan Islands in Southeast China." Applied Mechanics and Materials 174-177 (May 2012): 1843–48. http://dx.doi.org/10.4028/www.scientific.net/amm.174-177.1843.

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Island settlement in the South-East of Zhejiang Province is a blend region of a variety of marine habitat development model, its formation, development and evolution are closely related with the local geographical environment, cultural background, sources of material and building way. This paper takes the Ruoshan Islands of Wenling, Zhejiang Province as an example, mixes the cultures of Eastern Fujian and South Zhejiang to analyze the causes and law of the island habitat’s evolution, and puts forward the basic method and strategy for construction of the marine habitat with mixed culture character.

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Wang, Xiaodan, and Zhengyu Yang. "Application of Fuzzy Optimization Model Based on Entropy Weight Method in Atmospheric Quality Evaluation: A Case Study of Zhejiang Province, China." Sustainability 11, no. 7 (April 10, 2019): 2143. http://dx.doi.org/10.3390/su11072143.

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A fuzzy optimization model based on the entropy weight method for investigating air pollution problems in various cities of Zhejiang Province, China has been proposed in this paper. Meanwhile, the air quality comprehensive evaluation system has been constructed based on the six major pollutants (SO2, NO2, CO, PM10, PM2.5 and O3) involved in China’s current air quality national standards. After analyzing the monthly data of six pollutants in 11 cities of Zhejiang Province from January 2015 to April 2018 by the above method, the authors found that, although the air quality of cities in Zhejiang Province did not reach the long-term serious pollution of Beijing, Tianjin, and Hebei, the air quality changes in the northern cities of Zhejiang were worse than those in southern Zhejiang. For example, the air quality of Shaoxing in northern Zhejiang has dropped by 14.85% in the last study period when compared with that of the beginning period, and Hangzhou, the provincial capital of Zhejiang, has also seen a decrease of 6.69% in air quality. The air quality of Lishui, Zhoushan and Wenzhou in southern Zhejiang has improved by 8.04%, 4.67% and 4.22% respectively. Apart from the geographical influence, the industrial structure of these cities is also an important cause for worse air quality. From the local areas in southern Zhejiang, cities have developed targeted air pollution control measures according to their own characteristics, including adjusting the industrial structure, changing the current energy consumption structure that heavily relies on coal, and improving laws and regulations on air pollution control, etc. In the four cities in central Zhejiang, the air quality at the end of the period (April 2018) has decreased from the beginning of the period (January 2015), given that there were no fundamental changes in their industrial structure and energy pattern.

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XIANG, YA-NAN, QING-BO HUO, and YU-ZHOU DU. "Three new species of Sinacroneuria Yang & Yang, 1995 (Plecoptera: Perlidae) from Zhejiang Province, southeastern China." Zootaxa 5175, no. 4 (August 18, 2022): 487–93. http://dx.doi.org/10.11646/zootaxa.5175.4.6.

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Three new species of Sinacroneuria Yang & Yang, 1995, Sinacroneuria parallela Xiang & Du, sp. nov., Sinacroneuria complana Xiang & Du, sp. nov. and Sinacroneuria longiprojecta Du & Huo sp. nov., from Zhejiang Province of southeastern China are described and illustrated. A list and provisional key to Sinacroneuria males of Zhejiang Province are also presented.

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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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Xu, Qian, Zhou Lan, Jin Hua Huang, Hong Hao Qin, and Xiao Min Xu. "Load Forecasting of Zhejiang Province Based on Combined Optimization Methods." Advanced Materials Research 998-999 (July 2014): 1046–51. http://dx.doi.org/10.4028/www.scientific.net/amr.998-999.1046.

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On the basis of analysis in Zhejiang, this paper uses the trend fitting method, the quadratic exponential smoothing model and multiple linear regression and grey GM (1, 1) portfolio model to forecast electricity consumption in 2012-2020 in Zhejiang, and compare the various methods of prediction accuracy.

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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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Journal articles on the topic 'Zhejiang Province'

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