Academic literature on the topic 'Chinese agriculture; Data envelopment analysis'

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Journal articles on the topic "Chinese agriculture; Data envelopment analysis"

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Yang, C. H., L. Wu, and H. L. Lin. "Analysis of total-factor cultivated land efficiency in China's agriculture." Agricultural Economics (Zemědělská ekonomika) 56, No. 5 (June 1, 2010): 231–42. http://dx.doi.org/10.17221/37/2009-agricecon.

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Along with the rapid economic growth, there has been a booming demand for agricultural products in China, but the increased land usage for the manufacturing sector has caused a decrease in the total cultivated land. Through the data envelopment analysis (DEA) approach, this study first constructs the index of the total-factor cultivated land efficiency (TFCLE) by taking the ratio of the actual cultivated land input to target the cultivated land input. Next, we examine the determinants of inefficiency on the cultivated land use. Based on a province-level panel data over 1997–2006, the empirical estimates indicate that the TFCLE is moderate and fluctuates during the sample period, ranging from 0.601 to 0.713, suggesting room for efficiency improvement in Chinese farmland use. The coastal regions are found to experience a significantly higher degree of the TFCLE compared with non-coastal regions. Overall, there is no significant competition effect brought on by the WTO entry on promoting TFCLE, though this effect differs between the coastal and non-coastal regions. The second-stage regression results show that the natural and artificial disasters, flood, drought, and pollution are the the main causes of inefficiency. Innovative activity and the FDI are evidenced to have a significantly positive relation with the TFCLE in Chinese agriculture. We also find the positive TFCLE-enhancing the effects of production diversification and import competition.
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Cao, Yangdong, Wang Zhang, and Jinzheng Ren. "Efficiency Analysis of the Input for Water-Saving Agriculture in China." Water 12, no. 1 (January 11, 2020): 207. http://dx.doi.org/10.3390/w12010207.

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To optimize the installation distribution of water-saving techniques and improve the efficiency of water-saving agricultural inputs, we used a three-stage data envelopment analysis (DEA) model and Chinese provincial panel data from 2014 to 2016 to analyze the input efficiency of the water-saving irrigation. This study explores the efficiency derived from the efforts of water-saving initiatives in the agricultural sector in China. We present the impacts of factors such as technology, scale, diminishing marginal revenue, and crop water requirements on the research results. We found overall efficiency of water-saving irrigation is increasing nationally. The efficiency of water-saving irrigation input will significantly increase if management and organization of the input improve. Increasing the investment in areas with increasing marginal revenue would improve the local agricultural water-saving input efficiency in areas such as Hainan, Chongqing, Guizhou, Tibet, and Qinghai; although in areas with large water requirement for major crops, such as Inner Mongolia and Xinjiang, the efficiency of water-saving irrigation is generally high. Shanxi requires a large amount of water as the efficiency of agricultural water-saving input is 0.07, which is relatively lower than the average efficiency of all regions (0.39). The cultivated area index and the GDP per capita had no significant effect on the irrigation input efficiency.
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Jiao, Weihua, Zetian Fu, Weisong Mu, Xiaoshuan Zhang, Jianjun Lu, and Mark Xu. "Estimating technical efficiency of Chinese table grape wholesalers." British Food Journal 117, no. 6 (June 8, 2015): 1670–88. http://dx.doi.org/10.1108/bfj-03-2014-0134.

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Purpose – The purpose of this paper is to estimate the technical efficiency of Chinese table grape wholesalers and subsequently to examine the degree to which the calculated efficiency correlates with a set of explanatory variables. Design/methodology/approach – A two-stage procedure is applied in this paper. First, a non-parametric data envelopment analysis (DEA) technique is applied to investigate the degree of technical efficiency for Chinese table grape wholesalers. Second, Tobit regression is used to analyze the factors influencing technical efficiency. Findings – Research results reveal that the mean technical efficiency of the sample is 0.544 and 0.860 under constant returns scale (CRS) and VRS assumptions, respectively, and the scale efficiency (SE) is 0.620. The variables of experiences, number of grape varieties on sale, daily selling volumes and fixed sale ratio have a significant effect on technical efficiency, while the other exogenous variables do not affect the efficiency in any significant way. Research limitations/implications – The findings of this research are specific to table grape wholesalers in China, however, the method used in this study is transferrable and applicable to the study of similar problems in others countries. Originality/value – This research has yielded some interesting and original insights into the efficiency level of Chinese grape wholesalers and the factors that influence the level of efficiency. The findings have practical implications for Chinese agriculture policy makers, and are able to stimulate further research of a similar type in the international agricultural research community.
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Liu, Zhuo-wan, Tomas Balezentis, Yao-yao Song, and Guo-liang Yang. "Estimating Capacity Utilization of Chinese State Farms." Sustainability 11, no. 18 (September 6, 2019): 4894. http://dx.doi.org/10.3390/su11184894.

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As the most populous country in the world, China has one of the largest agricultural systems in the world, which plays an important role in ensuring China’s food security. The state farms comprise an integral part of China’s agricultural system. However, there have been few studies evaluating the efficiency and capacity utilization of China’s state farms. In this paper, we estimate the efficiency and capacity utilization of state farms across 27 Chinese regions by applying the data envelopment analysis method. Performance of the overall state farm system and its three sub-industries is taken into consideration simultaneously. Over the period of 2013–2017, the technical efficiency fluctuated in between 0.74 and 0.84, whereas the capacity utilization fluctuated around 0.85. The regional differences were observed. The regional differences were also observed.
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An, Qingxian, Xuyang Liu, Yongli Li, and Beibei Xiong. "Resource planning of Chinese commercial banking systems using two-stage inverse data envelopment analysis with undesirable outputs." PLOS ONE 14, no. 6 (June 13, 2019): e0218214. http://dx.doi.org/10.1371/journal.pone.0218214.

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Li, Nan, Yuqing Jiang, Hailin Mu, and Zhixin Yu. "Efficiency evaluation and improvement potential for the Chinese agricultural sector at the provincial level based on data envelopment analysis (DEA)." Energy 164 (December 2018): 1145–60. http://dx.doi.org/10.1016/j.energy.2018.08.150.

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Zhong, Zhangqi, Yiqin Hu, and Lei Jiang. "Impact of Climate Change on Agricultural Total Factor Productivity Based on Spatial Panel Data Model: Evidence from China." Sustainability 11, no. 6 (March 13, 2019): 1516. http://dx.doi.org/10.3390/su11061516.

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To respond to the adverse impact of climate change on agricultural total factor productivity, the question of how to adopt actively appropriate strategies is particularly critical for the stakeholders. However, the previous researchers have paid more attention to investigating the measure methods, regional differences, and determinants of Chinese agricultural total factor productivity, but the possible impact of climate change factors like rainfall, temperature, and evaporation on regional agricultural total factor productivity in China have not yet received the attention that they deserve. Furthermore, more importantly, the study on how to take active measures to reduce and mitigate the negative effects from climate change is relatively small. Therefore, in allusion to the above-mentioned problems, using the data envelopment analysis and building a spatial panel data model embedded with climate change factors, this paper calculated Chinese agricultural total factor productivity and then explored the possible impact of climate change on regional agricultural total factor productivity at a provincial level in China. Results mainly show that the impact of some factors, like annual total precipitation, average temperature in the growing season, and evaporation intensity on regional agricultural total factor productivity, are all very significant and negative, which suggests that the more precipitation, the higher the temperature is, and the higher evaporation intensity would lower agricultural total factor productivity in China. Furthermore, in order to response to mitigate the adverse effects from climate change on agricultural total factor productivity, local governments should continue to increase financial support for the local agricultural economic development, because this action could be beneficial for the related stakeholders in improving agricultural total factor productivity. Summing up, our evidence study would provide an important basic theory basis in terms of increasing agricultural total factor productivity and promoting regional agricultural economic development in China.
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Xiaolin, Tang, Wang Jieqiong, Zhang Biao, and Zhang Lingxian. "Application of the DEA on the performance evaluation of the agricultural support policy in China." Agricultural Economics (Zemědělská ekonomika) 63, No. 11 (November 6, 2017): 510–23. http://dx.doi.org/10.17221/120/2016-agricecon.

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The paper utilizes the data envelopment analysis (DEA) method based on the OECD policy classification to evaluate the performance of the agricultural support policy at the provincial and agricultural commodity levels from the respective viewpoints of agricultural input and output. The analysis at the provincial level mainly focuses on the similarities and differences in the performance of the agricultural support policies between the primary grain-producing areas and the secondary grain-producing areas; at the agricultural commodity level, 17 representative Chinese agricultural commodities are selected and their performance compared. The results are then used to proffer suggestions for the future agricultural support policy optimization in China. The paper found that 50% of the provinces were DEA-efficient, in general, during the study period due to the low overall province-level scale efficiency. The performance values of the secondary grain-producing areas were significantly lower than those of the primary grain-producing areas due to the overall low scale and technical efficiency values. These results show that the support policies for agricultural commodities in China altogether require a further improvement, mainly due to the low technical efficiency of agricultural commodities.
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Mu, L., L. Fang, H. Wang, L. Chen, Y. Yang, X. J. Qu, C. Y. Wang, Y. Yuan, S. B. Wang, and Y. N. Wang. "Exploring Northwest China's agricultural water-saving strategy: analysis of water use efficiency based on an SE-DEA model conducted in Xi'an, Shaanxi Province." Water Science and Technology 74, no. 5 (June 17, 2016): 1106–15. http://dx.doi.org/10.2166/wst.2016.286.

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Worldwide, water scarcity threatens delivery of water to urban centers. Increasing water use efficiency (WUE) is often recommended to reduce water demand, especially in water-scarce areas. In this paper, agricultural water use efficiency (AWUE) is examined using the super-efficient data envelopment analysis (DEA) approach in Xi'an in Northwest China at a temporal and spatial level. The grey systems analysis technique was then adopted to identify the factors that influenced the efficiency differentials under the shortage of water resources. From the perspective of temporal scales, the AWUE increased year by year during 2004–2012, and the highest (2.05) was obtained in 2009. Additionally, the AWUE was the best in the urban area at the spatial scale. Moreover, the key influencing factors of the AWUE are the financial situations and agricultural water-saving technology. Finally, we identified several knowledge gaps and proposed water-saving strategies for increasing AWUE and reducing its water demand by: (1) improving irrigation practices (timing and amounts) based on compatible water-saving techniques; (2) maximizing regional WUE by managing water resources and allocation at regional scales as well as enhancing coordination among Chinese water governance institutes.
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Tan, Xianhua, Sanggyun Na, Lei Guo, Jing Chen, and Zhihua Ruan. "External Financing Efficiency of Rural Revitalization Listed Companies in China—Based on Two-Stage DEA and Grey Relational Analysis." Sustainability 11, no. 16 (August 15, 2019): 4413. http://dx.doi.org/10.3390/su11164413.

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Rural revitalization is an important strategy to promote sustainable development of rural areas in China. Rural revitalization listed companies play an important role in implementing the rural revitalization strategy and developing the agricultural industry. However, the financing problem has always been a bottleneck problem with Chinese listed companies. This study used a two-stage DEA (data envelopment analysis) method to evaluate the funds raising efficiency, funds using efficiency, and overall financing efficiency of 34 rural revitalization listed companies in 2018. The results show that the financing efficiencies of 34 sample companies were low, only six companies have overall efficient financing, and there was much room for improvement. Financing efficiency varied greatly depending on the nature of the company, the industry, and the listing board. The efficiency of funds using of state-owned enterprises was much lower than that of private companies. The average efficiency value of agricultural company funds raising was lower than that of manufacturing. The efficiency of small and middle-size enterprises (SMEs) was lower than that of main board companies, but the growth enterprise market (GEM) companies achieved higher efficiency in the funds using. Further, by using the grey relational analysis (GRA) method, we found that the key factors affecting the financing efficiency of sample companies included capital structure, debt-paying ability, governance structure, company age, and operating ability. To improve financing efficiency, the companies should not only optimize their capital structure and governance structure but also improve their management and innovation capabilities. At the same time, the state also needs to give different policies support according to the characteristics of the companies.
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Dissertations / Theses on the topic "Chinese agriculture; Data envelopment analysis"

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Huang, Yanping. "Modelling land use change and agricultural performance in post-reform China using remotely sensed data and GIS." Thesis, University of Oxford, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.264570.

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Chen, Weidong. "The productive efficiency analysis of Chinese steel firms an application of data envelopment analysis /." Morgantown, W. Va. : [West Virginia University Libraries], 1999. http://etd.wvu.edu/templates/showETD.cfm?recnum=963.

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Thesis (M.A.)--West Virginia University, 1999.
Title from document title page. Document formatted into pages; contains iii, 28 p. : ill. (some col.) Includes abstract. Includes bibliographical references (p. 28).
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Atici, Kazim Baris. "Using data envelopment analysis for the efficiency and elasticity evaluation of agricultural farms." Thesis, University of Warwick, 2012. http://wrap.warwick.ac.uk/54354/.

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Data Envelopment Analysis (DEA) is a well-established relative efficiency measurement technique, which has been widely applied to evaluate the technical efficiency of agricultural units in different countries by focusing on different aspects of agricultural production. This research deals with the evaluation of efficiency through DEA in non-homogeneous agricultural production, where units produce a wide range of different outputs. The objectives are threefold. Firstly, we propose a novel methodological approach of integrating the production trade-offs concept of DEA into non-homogeneous agricultural efficiency evaluation to prevent the overstatement of the efficiency of specialist farms and overcome the issue of insufficient discrimination due to large number of outputs in the models. Secondly, we aim to integrate this methodological perspective to the theory of elasticity measurement on DEA frontiers. The efficient frontiers of DEA are not defined in functional forms as in the classical economic theory, therefore obtaining elasticity measures on them require different considerations. We introduce the production trade-offs to the elasticity measurement and derive the necessary models to calculate the elasticities of response in the presence of production trade-offs. As a third objective, before moving to the introduction of the trade-offs in elasticity measurement, for theoretical completeness, we first consider the elasticity measurement on DEA frontiers of constant returns-to-scale (CRS) technologies. Our proposed methodology and all the developed elasticity theory are illustrated in a real world case of Turkish agricultural sectors. We provide extensive empirical applications covering all the proposed theory and methodology. Among the results of this research, we provide an elasticity measurement framework, which enables us to calculate elasticities of response measures in both VRS and CRS technologies, with or without production tradeoffs included. We observe that the integration of production trade-offs provide better discrimination of efficiency scores compared to the models without trade-offs included. We also investigate how changing production trade-offs affect the efficiency and elasticity measures of the evaluated units.
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Dong, Yizhe. "Cost efficiency in the Chinese banking sector : a comparison of parametric and non-parametric methodologies." Thesis, Loughborough University, 2010. https://dspace.lboro.ac.uk/2134/6099.

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Since the open door policy was embarked upon in 1979, China s banking sector has undergone gradual but notable reforms. A key objective of the reforms implemented by the Chinese government is to build an effective, competitive and stable banking system in order to improve its efficiency and reliability. This study employs both parametric stochastic frontier analysis (SFA) and non-parametric data envelopment analysis (DEA) methods to assess and evaluate the cost efficiency of Chinese banks over the period from 1994 until 2007, a period characterised by far-reaching changes brought about by the banking reforms. To this end, we first compare a number of specifications of stochastic cost frontier models to determine the preferred frontier model which are adopted in our efficiency analysis. The preferred model specification for our sample is the one stage SFA model that includes the traditional input prices, the outputs and the control variables (that is, equity, non-performing loans and the time trend) in the cost frontier and the environmental variables (that is, ownership structure, size, deregulation, market structure and market discipline) in the inefficiency term. Moreover, we also employ two cost DEA models (traditional DEA and New DEA) as a complement to the preferred SFA model for methodological cross-checking purposes. Similar to the previous empirical literature, we find that in most cases only moderate consistency across the different techniques. The cost efficiency of Chinese banks is found to be 91% on average, based on our SFA model, over the period from 1994 until 2007. Based on the results of the DEA and New DEA models, the average cost efficiency for Chinese banks over the sample period is about 89% and 87%, respectively. We find that Chinese banking efficiency has deteriorated after China s admission to the WTO, suggesting that the significant external environmental changes which arose from China s WTO entry may have had a negative impact on its banking efficiency. In addition, we find that the majority of Chinese banks reveal scale inefficiencies and as asset size increases, banks tend to pass from increasing, to constant, and then to decreasing returns to scale. Our findings also show that both state-owned banks and foreign banks are more efficient than domestic private banks and larger banks tend to be relatively more efficient than smaller banks. These and other results suggest that in order to enhance Chinese banking efficiency, the government needs to continue with the banking reform process and in particular, to open up banking markets, to improve risk management and corporate governance in Chinese banks and to encourage the expansion of banks.
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Jacob, Sergot. "Capital humain, productivité agricole et rationalité des agriculteurs : Une étude empirique avec application de l'approche "Data Envelopment Analysis" sur données d'Haïti." Antilles-Guyane, 2008. http://www.theses.fr/2008AGUY0219.

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L'agriculture en Haïti décline depuis plusieurs décennies, mais continue de jouer un rôle important dans l'économie. A partir de données primaires transversales sur un échantillon de 815 exploitations, nous étudions, en deux étapes, l'efficience productive (à partir d'un estimateur DEA) et les facteurs qui y sont liés (à partir de modèles Tobit) en accordant une attention particulière au capital humain pris au sens le plus large. Les résultats empiriques montrent que l'efficience productive moyenne est de 21. 45% et seulement 3% des agriculteurs opèrent sur la frontière efficiente. Tandis que le capital humain, l'intégration aux marchés d'aval, les transferts ou l'accès aux institutions rendent les agriculteurs plus efficients, d'autres facteurs (dont des valeurs culturelles, les insuffisances institutionnelles et l'environnement technico-économique) exercent l'effet contraire. Cette recherche ajoute une nouvelle dimension à la littérature sur l'efficience en quantifiant l'impact des variables culturelles et en montrant par quels mécanismes elles opèrent. Nous explorons également les déterminants des stratégies de revenus adoptées par les agriculteurs dans leur lutte pour la subsistance. Après avoir contrôlé pour le capital social, l'accès aux institutions formelles et informelles, la localisation, nous fournissons les évidences empiriques du rôle crucial du capital humain comme déterminant principal des stratégies de revenus les plus rémunératrices. Nous démontrons également que la pauvreté contraint certains agriculteurs à se salarier chez les plus riches pour trouver des revenus complémentaires. Dans cette logique, le capital social joue un rôle indirect et positif
Agriculture in Haiti declines for seve raI decades, but still plays a crucial role in the economy. Using a unique cross sectional data set of 815 farms, l study, in two stages, first the farms' productive efficiency (using a DEA estimator), and second, the factors that are linked with (from Tobit models) paying a particular attention to an expanded human capital concept. Empirical results show that productive efficiency is in average 21. 45% and only 3% of the farmers operate on efficient frontier. While human capital, institutions' and market access, remittances, increase farmers' efficiency, other factors-such cultural values, institutional weaknesses, and technical and economic environment-lead a counterproductive effect. By the way, this research adds a new dimension to literature on efficiency by quantifying the impact of cultural variables and showing the mechanisms by which they operate. We also explore the determinants of incomes strategies adopted by the farmers in their battle for subsistence. Having controlled for social capital, access to informaI and formaI institutions, location, we provide empirical evidence of the critical role of the human capital as the main determinant of the most remunerative income strategies. We also show that poverty change the options for a subgroup of farmers constrained in selling his labour force to the richest farmers in order to get supplementary incomes. In this latter case, the social capital plays an indirect and positive role
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Wearaduwa, Vidana Kankanamge Thilani Kaushalya. "Economic Efficiency of Occupational Health and Safety Investments at Agricultural Cooperatives." Thesis, North Dakota State University, 2018. https://hdl.handle.net/10365/28861.

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Industries related to agricultural cooperatives record some of the highest injury rates in the U.S. Therefore, agricultural cooperatives are highly motivated to invest in occupational health and safety (OHS). This thesis examines the economic efficiency of OHS investments at agricultural cooperatives and identifies cooperative characteristics leading to greater economic efficiency of OHS investments. A multiple input-output data envelopment analysis (DEA) is used to estimate technical efficiency. The effects of cooperative characteristics on the efficiency of OHS investments are estimated using ordinary least squares, censored regression, truncated regression, and the Simar and Wilson (2007) bootstrap procedure. Results show that the mean technical efficiency score was 0.833. Furthermore, a cooperative?s annual insurance premia has a significant, negative relationship with technical efficiency. In contrast, the experience levels of a cooperative?s top safety person and top managerial person and a location?s total workers employed have significant, positive relationships with efficiency in all estimated models.
North Dakota State University. Department of College of Agriculture, Food Systems and Natural Resources
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Rapu, Samuel Chukwueyem. "Evaluating the Impact of Policies on Production Efficiency of Nigeria's Rice Economy." ScholarWorks, 2016. https://scholarworks.waldenu.edu/dissertations/2423.

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Nigeria, like all other rice consuming nations, has experienced a surge in domestic demand for rice since 1970. However, local rice production has not been sufficient to meet local demand, leading to this demand continually being filled by imports. The Federal Government of Nigeria has initiated subsidies programs intended to improve Nigerian rice farmers' technical and cost efficiency levels. This quantitative study evaluated the impact of these policies on the technical and cost efficiency levels of paddy rice farm households in Nigeria. Farrell's (1957) efficiency theory and production theory served as the theoretical frameworks. Data were collected from a cross-section of 300 paddy rice farmers drawn from 3 states in Nigeria. The study used 2 estimation techniques: parametric technique (SF) and the non-parametric technique (DEA). The results showed that paddy rice production in Nigeria was still profitable but low and the estimated average technical and cost efficiency levels from the DEA approach were 0.721 and 0.295, respectively. Evidence suggests that the formulation and implementation of subsidy programs on farm inputs were relevant in the variations of technical and cost efficiency levels across the rice farm households. The study findings support the continuity of the subsidy policies to encourage increased rice production; they also suggest that governments should address the issues of post-harvest losses, degrading irrigation facilities, and ineffective rural development policies. The positive social change implications of this research include providing information to inform government policy changes designed to more effectively address rice importation and pricing, positively impacting the standard of living for rural farmers and communities in Nigeria.
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Cheng, Mei Yen, and 鄭媚尹. "A Study of Operational Efficiency of Agriculture Cooperatives- Application of Data Envelopment Analysis." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/27929839058257003186.

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碩士
國立屏東科技大學
農企業管理系
90
Based upon common needs and will of collaboration, the farmers adopt principle of equality on the foundation of mutual help union to organize a group, agriculture cooperative, which applies cooperation management method to overcome the difficulties of agriculture management, reduce the cost of production, elevate the efficiency of management, and augment competitive strength. This thesis aims to analyze the agriculture cooperatives’ management efficiency in Taiwan district. It adopts Farrell’s efficiency conception as the foundation, and makes use of Fuzzy Delphi Method (FDM) to obtain the input and output elements of agriculture cooperatives. There are four input elements: numbers of contract persons, assets, profession expenditure, and management costs; and two outputs, numbers of members in cooperative and profession income. Through the Data Envelopment Analysis (DEA), it establishes efficiency boundary function to gain management efficiency of each agriculture cooperative. To all agriculture cooperatives, among 104 DMUs, there are 14 cooperatives reach 1 in management efficiency rate. In addition, since every kind of cooperative’s managing chief part and model is not really similar to one another, to be in conformity with the experience rules submitted by Golany and Roll in 1989, this research further analyzes the management efficiency of fruit-and-vegetable kind and fowl kind agriculture cooperatives. Among all fruit-and-vegetable kind cooperatives, there are 10 of them reach 1 in management efficiency rate, and 12 in fowl kind ones. Eventually, by using Analytic hierarchy Process (AHP) to further distinguish agriculture cooperatives with efficient management, it appraises the best practice models. Among all agriculture cooperatives, the Shi-Luo Pig Breeding Production Cooperative in Yunlin County is the top cooperative with management efficiency. The Shinn-Yi Fruit-and-vegetable Cooperative in Nantou County is the best model among all fruit-and-vegetable kind cooperatives, and the Shi-Luo Pig Breeding Production Cooperative in Yunlin County is the best one among all fowl kind cooperatives.
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Zheng, Ji-Cheng, and 鄭基成. "A Study of Performance Evaluation of Chinese Petroleum Corporation Reforming Unit by Data Envelopment Analysis." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/73904698834809847015.

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碩士
義守大學
資訊管理學系碩士班
94
Privatization has been the significant trend in the recent years in the world. One of the major reasons of privatization is that the private company is more efficient in carrying out economic activities and reducing the public debt. In Taiwan, Chinese Petroleum Corporation (CPC) will face some challenges and pressures of privatization policy and liberalization of oil industry. CPC must understand their differentiation from other competitors, and strive to improve their performance. It is the important subject to increase efficiency for CPC. Therefore, with application of Data Envelopment Analysis (DEA) approach, this study conducts performance analysis among twenty-six reforming units. The input factors include three items; the output factors are seven items. While interacting the above factors and calculated by Frontier analysis, performance efficiency results for each reforming units are measured, including category of efficiency unit, the best inputs in each reforming units. A sensitive analysis has also been conducted to achieve more accuracy. The findings of this study are as followings: 1. According to the efficiency analysis, the research finds all units waste their costs, so they should decrease the inputs or increase the productivity to make all units effective. 2. According to the scale efficiency analysis, it must improve the input, the ratio of the output, and adjust the scale of productivity to accomplish the efficiency. In addition, identify the most efficient unit as the model to help others to optimize management strategy and to maximize contribution. 3. According to the slack variables analysis, it suggests managers should improve the numbers of inputs and outputs. 4. According to the sensitivity analysis, it shows that CPC has persisted stability, and proving that the company is moving toward an efficient business. Finally, some results and suggestions of the empirical study may provide some useful information to decision-makers of CPC and seek solutions of achieving higher managerial efficiency in the future.
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HUNG, CHANG-CHUN, and 洪彰均. "An Analysis of Chinese Professional Baseball League Pitcher’s Performance with the Salary : An Application of Different System Data Envelopment Analysis." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/pa95hq.

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碩士
國立宜蘭大學
應用經濟與管理學系應用經濟學碩士班
102
This paper investigates 56 pitchers of Chinese professional baseball and applies different system Data Envelopment Analysis (DEA) to evaluate the performance and compensation structure with Innings Pitched (IP), Earned Run Average (ERA), Walks and Hits per Innings Pitched (WHIP) records in 2013 and compensation data in 2014. Firstly, we select player’s monthly income in 2013 as one input items and select Innings Pitched (IP), Earned Run Average (ERA), Walks and Hits per Innings Pitched (WHIP) as three output items to evaluate the performance of players. Secondly, we select Innings Pitched (IP), Earned Run Average (ERA), Walks and Hits per Innings Pitched (WHIP) as three input items and select player’s monthly income in 2014 as one output items to evaluate the compensation. The analysis result shows:(i) Pitcher's performance was positively correlated with salary, but it’s not mean the player who performance is efficient will have the efficient salary in the sequential year. Due to industry given players a pretty moldy pay increase in 2014, so most player’s salary is inefficiency. In other words, the reserve clause makes most players have inefficiency compensation. (ii) The three variables of Innings Pitched, Earned Run Average and Walks and Hits per Innings Pitched affect the starting pitchers were great. Especially the most sensitive starting pitcher for innings pitched variables. In other words starting pitcher is most important for the games. (iii) Because of exciting two systems, the inefficiency pitchers of different systems could find an adaptable path for management improving. Based on the System DEA approach, we provide a concept of turnaround situations in the angle of efficiency. That is some inefficiency pitchers might improve efficiencies by turnaround their situations to improve the efficiencies in the future.
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Book chapters on the topic "Chinese agriculture; Data envelopment analysis"

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Avkiran, Necmi Kemal, and Yushu Zhu. "Pitching DEA Against SFA in the Context of Chinese Domestic Versus Foreign Banks." In Handbook of Operations Analytics Using Data Envelopment Analysis, 113–43. Boston, MA: Springer US, 2016. http://dx.doi.org/10.1007/978-1-4899-7705-2_5.

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Guritno, Adi Djoko, and Endy Suwondo. "An Application of Data Envelopment Analysis to Determine the Efficiency Level of the Fish Auction Facility in Coastal Area, Java Island." In Proceeding of the 1st International Conference on Tropical Agriculture, 497–504. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60363-6_52.

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Zha, Yong, Liang Liang, Jie Wu, and Zhimin Huang. "Performance improvement on cross-efficiencies and applications to competitive advantages of Chinese cities." In Applications in Multicriteria Decision Making, Data Envelopment Analysis, and Finance, 249–71. Emerald Group Publishing Limited, 2010. http://dx.doi.org/10.1108/s0276-8976(2010)0000014016.

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"Chinese National Parks—Resource Usage Efficiencies, Spatial Proximity and Roles: An Application of Data Envelopment Analysis." In Tourism in China, 85–105. Routledge, 2009. http://dx.doi.org/10.4324/9780203886366-13.

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Yeh, Shao-Wei, Mei-Jung Chen, Cheng-Tien Chuang, and Wen-Bin Lin. "Performance Evaluation of Teams in Chinese Professional Baseball League." In Research Anthology on Business Strategies, Health Factors, and Ethical Implications in Sports and eSports, 816–30. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-7707-3.ch045.

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In this article, a performance evaluation of the Chinese Professional Baseball League (CPBL) was conducted from a human resources (HR) perspective. Two important aspects were included: (1) a comprehensive evaluation of the competition performance of the professional baseball teams in international games and regular season games; and (2) the data envelopment analysis (DEA) and “two-stage” methodologies, which were employed to process truncated data to resolve the factors that affect the efficiency of the decision-making unit (DMU). By applying DEA and truncated regression analysis with bootstrapping, the performances of CPBL teams in games of different intensities were investigated. The number of foreign coaches and native players both were the key factors to affect the competitive efficiency of CPBL teams, and the Uni President 7-ELEVEN Lions had the best performance efficiency team. This interdisciplinary investigation provided the most appropriate references and recommendations for professional baseball teams on HR management so that baseball fans' expectations are met.
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Chen, Chusheng, Yenchun Jim Wu, and Luanyan Du. "The Performance Evaluation of Entrepreneurship Education in Chinese Universities." In Dynamic Perspectives on Globalization and Sustainable Business in Asia, 185–97. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7095-0.ch012.

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The quality of entrepreneurship education at the collegiate level is correlated with its sustainability. Existing studies have focused on the construction and method selection of evaluation systems for entrepreneurship education but have lacked concrete analyses of individual effectiveness. Through a micro-perspective, this study conducted a data envelopment analysis to assess the efficiency of entrepreneurship education in eight higher learning institutions. The input criteria comprised the number of courses and available funding, whereas the output criteria consisted of the number of awards won in two major intercollegiate contests and the initial employment rate. In addition, this study further investigated the most efficient schools to find students' opinions on course content and entrepreneurial needs. The findings in this study may serve as a reference for optimizing collegiate-level entrepreneurship education resources, clarifying developmental goals, and improving resource efficiency.
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Vlontzos, George, and Panos M. Pardalos. "Assess and Prognosticate Operational and Environmental Efficiency of Primary Sectors of EU Countries." In Advances in Business Strategy and Competitive Advantage, 1–19. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-2107-5.ch001.

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Efficiency assessment in agriculture is a research field were quite important methodologies have been implemented. Data Envelopment Analysis (DEA) in one of the most recognized approaches due to the considerable advantages of it. In this paper the implementation of DEA Window analysis assesses efficiency scores of the primary sectors of EU member states on both operational and environmental level, verifying considerable efficiency differences among them and a continuous improvement after the application of the latest Common Agricultural Policy (CAP) reform. Regarding prognostication of crop and animal output, as well as Green House Gas (GHG) emissions, the application of Artificial Neural Networks (ANNs) is being proposed, succeeding satisfactory quality characteristics for the models being proposed for operational and environmental predictions in EU agriculture.
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Tan, Khee Giap, Nurina Merdikawati, and Ramkishen S. Rajan. "Agricultural Productivity in Indonesian Provinces." In Environmental and Agricultural Informatics, 1146–62. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-5225-9621-9.ch051.

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Indonesia has been recognized as a country with significant potential in agriculture, not only to be self-sufficient in terms of food, but also to be the “food basket” for the world. However, given limited and competing use of resources, raising agricultural productivity is of paramount importance. To date, most of the existing work on Indonesia's agricultural sector is at the national level. Considering the extent of Indonesia's regional diversity, a provincial-level analysis of the country's agricultural sector would be more useful from a policy perspective. In this light, this paper examines agricultural productivity growth in Indonesian provinces during 2000-2011 and draws policy implications from such empirical analysis. The paper uses two methodologies, namely growth accounting and Malmquist index data envelopment analysis. Results suggest that technological change has been improving for most provinces, though there is wide variation in technical efficiency change which in turn is driving differences in total factor productivity growth across provinces.
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Conference papers on the topic "Chinese agriculture; Data envelopment analysis"

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Feng Zhou and Yuan-Biao Zhang. "Notice of Retraction: Relative efficiency evaluation of Chinese health care system based on data envelopment analysis (DEA) model." In 2010 International Conference on Computer and Communication Technologies in Agriculture Engineering (CCTAE 2010). IEEE, 2010. http://dx.doi.org/10.1109/cctae.2010.5544840.

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Andrić Gušavac, Bisera, Gordana Savić, and Milan Martić. "A ROUTE EFFICIENCY ANALYSIS BASED ON DATA ENVELOPMENT ANALYSIS: AN APPLICATION TO AGRICULTURE." In Economic and Business Trends Shaping the Future. Ss Cyril and Methodius University, Faculty of Economics-Skopje, 2020. http://dx.doi.org/10.47063/ebtsf.2020.0032.

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This study employs data envelopment analysis (DEA) approach to evaluate the performance of agricultural aircraft routes. In the context of agricultural aircraft usage, not enough attention has been paid to the efficiency study of the routes in agricultural operations. Aircraft are used in agriculture to perform various treatments on agricultural land. Presumptions in this study are that a land is divided into parcels and one type of treatment must be performed on these parcels. Also, the considered operation is performed by the agricultural aircraft and the size of the analyzed land implies that all parcels cannot be treated in one route, so there are multiple routes which have to be completed. Here, we propose application of output oriented CCR DEA model on one set of routes in order to determine relatively efficient routes. Proposed inputs for the application of the DEA method are: tank capacity of an aircraft and total cost of parcel treatment in one route. Proposed outputs are: total treated land area (total area of all parcels in route) in one route and percentage share of effective flight in the total distance traveled in one route. In this way relatively efficient routes can be selected, and some further analysis of relatively inefficient routes can be made in order to see what changes can be done in inputs and / or outputs of these inefficient routes to improve their performance.
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Yan, Jun, Tiefu Zhang, Zhongjun Wu, and Hongliang Liu. "Data Envelopment Analysis and Its Application in Supplier Selection." In Eighth International Conference of Chinese Logistics and Transportation Professionals (ICCLTP). Reston, VA: American Society of Civil Engineers, 2009. http://dx.doi.org/10.1061/40996(330)216.

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Tianqun, Xu, and Chen Yuepeng. "Eco-efficiency assessment of Wuhan based on data envelopment analysis approach." In 2015 27th Chinese Control and Decision Conference (CCDC). IEEE, 2015. http://dx.doi.org/10.1109/ccdc.2015.7162293.

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Song, Guanghui, and Wenwei Guo. "Chinese Open-End Fund Operational Efficiency Appraisal Using Data Envelopment Analysis." In 2008 International Conference on Risk Management & Engineering Management. IEEE, 2008. http://dx.doi.org/10.1109/icrmem.2008.18.

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Gan, Weihua, and Xiaoqing Gan. "Research on Efficiency of Chinese Software Exports Based on Data Envelopment Analysis." In 2007 3rd International Conference on Wireless Communications, Networking, and Mobile Computing - WiCOM '07. IEEE, 2007. http://dx.doi.org/10.1109/wicom.2007.817.

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Kai, Sun, Ju Xiao-feng, and Li Yu-hua. "Performance Evaluation of Chinese Regional Innovation Systems Based on Data Envelopment Analysis." In 2006 International Conference on Management Science and Engineering. IEEE, 2006. http://dx.doi.org/10.1109/icmse.2006.314082.

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Zhang, Shuai, and Yongrui Duan. "Structural Efficiency Research of Chinese Regional Economy Based on Data Envelopment Analysis." In First International Conference Economic and Business Management 2016. Paris, France: Atlantis Press, 2016. http://dx.doi.org/10.2991/febm-16.2016.11.

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Gao, Qingping, Qipeng Yan, and Yu Luo. "Efficiency Measurement of Congestion Pricing Schemes Improving Network Performance with Data Envelopment Analysis." In Eighth International Conference of Chinese Logistics and Transportation Professionals (ICCLTP). Reston, VA: American Society of Civil Engineers, 2009. http://dx.doi.org/10.1061/40996(330)502.

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Yang, Zijiang. "Profitability Efficiency Comparison between Canadian and Chinese Resource Companies using Data Envelopment Analysis." In 2006 IEEE International Conference on Management of Innovation and Technology. IEEE, 2006. http://dx.doi.org/10.1109/icmit.2006.262217.

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Reports on the topic "Chinese agriculture; Data envelopment analysis"

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Nin Pratt, Alejandro, and Héctor Valdés Conroy. After the Boom: Agriculture in Latin America and the Caribbean. Inter-American Development Bank, December 2020. http://dx.doi.org/10.18235/0002955.

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The convergence of a favorable macroeconomic environment and high prices of primary commodities between 2000 and 2011 contributed to the best performance of agriculture in Latin America and the Caribbean (LAC) since the 1980s, with steady growth of total factor productivity (TFP) and output per worker and a reduction in the use of input per worker. The end of the upward phase of the commodity cycle in 2011 together with less favorable external markets and a deterioration of the policy environment in several countries, motivates us to revisit the situation of agriculture in LAC in recent years to analyze how these changes have affected its performance. This study applies a framework that uses index numbers together with data envelopment analysis (DEA) to estimate levels of productivity and efficiency, incorporating technical change together with technical (TE) and environmental efficiency (EE) into the decomposition of TFP. The EE index adjusts the TFP measure for pollution, treating GHG emissions as a by-product of the desired crop or livestock outputs. TFP and efficiency of crop and livestock sub-sectors was calculated for 24 LAC countries from 2000 to 2016. Our results show that the period of fast agricultural growth in LAC, driven by technical change and resource reallocation, transformed agriculture in the region leaving it in a better position to cope with the more unfavorable regional macroeconomic environment and the less dynamic global markets observed after 2011.
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