{"title":"中国农业面源污染与绿色全要素生产率分析","authors":"L. Fu, Hao Liu, Sidai Guo","doi":"10.2991/AEBMR.K.210210.042","DOIUrl":null,"url":null,"abstract":"Agricultural total factor productivity is an important indicator to measure and evaluate the quality of agricultural development and reform performance. Based on the panel data of 31 provinces and cities in Chinese Mainland from 2000 to 2017, this paper uses a comprehensive survey-based inventory analysis method to measure agricultural non-point source pollution in various regions, regards it as an undesired output, comprehensively uses common frontier technology and SBM (Slack Based Measure)Malmquist-Luenberger index model to measure the growth and decomposition of agricultural green total factor productivity, and builds a regression model to test the impact of urbanization on total factor productivity. The research shows: firstly, China's agricultural non-point source pollution has maintained a high emission intensity for a long time, especially in the west, which is significantly higher than other regions; from the perspective of sources, the contribution of livestock and poultry breeding exceeds 50%. Secondly, the average annual growth rate of China's agricultural green total factor productivity reaches 5.61% during the sample plate period, and the development trend is decreasing from the east to the middle to the west to the northeast. The main driving force for growth is the advancement of agricultural technology, and the efficiency of agricultural technology has shown a negative growth. Thirdly, the development of urbanization has a significant positive impact on the growth of agricultural green total factor productivity. Based on the conclusions of the analysis, this paper puts forward suggestions for transforming the production relations of small farmers, accelerating the process of urbanization, and promoting the green development of agriculture.","PeriodicalId":373030,"journal":{"name":"Proceedings of the 6th International Conference on Economics, Management, Law and Education (EMLE 2020)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Analysis of China’s Agricultural Non-Point Source Pollution and Green Total Factor Productivity\",\"authors\":\"L. Fu, Hao Liu, Sidai Guo\",\"doi\":\"10.2991/AEBMR.K.210210.042\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Agricultural total factor productivity is an important indicator to measure and evaluate the quality of agricultural development and reform performance. Based on the panel data of 31 provinces and cities in Chinese Mainland from 2000 to 2017, this paper uses a comprehensive survey-based inventory analysis method to measure agricultural non-point source pollution in various regions, regards it as an undesired output, comprehensively uses common frontier technology and SBM (Slack Based Measure)Malmquist-Luenberger index model to measure the growth and decomposition of agricultural green total factor productivity, and builds a regression model to test the impact of urbanization on total factor productivity. The research shows: firstly, China's agricultural non-point source pollution has maintained a high emission intensity for a long time, especially in the west, which is significantly higher than other regions; from the perspective of sources, the contribution of livestock and poultry breeding exceeds 50%. Secondly, the average annual growth rate of China's agricultural green total factor productivity reaches 5.61% during the sample plate period, and the development trend is decreasing from the east to the middle to the west to the northeast. The main driving force for growth is the advancement of agricultural technology, and the efficiency of agricultural technology has shown a negative growth. Thirdly, the development of urbanization has a significant positive impact on the growth of agricultural green total factor productivity. Based on the conclusions of the analysis, this paper puts forward suggestions for transforming the production relations of small farmers, accelerating the process of urbanization, and promoting the green development of agriculture.\",\"PeriodicalId\":373030,\"journal\":{\"name\":\"Proceedings of the 6th International Conference on Economics, Management, Law and Education (EMLE 2020)\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-02-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 6th International Conference on Economics, Management, Law and Education (EMLE 2020)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2991/AEBMR.K.210210.042\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 6th International Conference on Economics, Management, Law and Education (EMLE 2020)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2991/AEBMR.K.210210.042","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
摘要
农业全要素生产率是衡量和评价农业发展质量和改革成效的重要指标。本文以中国大陆31个省市2000 - 2017年面板数据为基础,采用基于综合调查的库存分析方法对各地区农业面源污染进行测度,将其视为一种非期望产出,综合运用常用前沿技术和SBM (Slack Based measure)Malmquist-Luenberger指数模型对农业绿色全要素生产率的增长和分解进行测度。并建立回归模型检验城市化对全要素生产率的影响。研究表明:①中国农业面源污染长期保持较高的排放强度,尤其是西部地区,排放强度显著高于其他地区;从来源来看,畜禽养殖的贡献超过50%。②样本板块期间中国农业绿色全要素生产率年均增长率达到5.61%,发展趋势由东向中向西向东北递减。增长的主要动力是农业技术进步,农业技术效率呈现负增长。第三,城镇化的发展对农业绿色全要素生产率的增长具有显著的正向影响。根据分析结论,提出了转变小农生产关系、加快城镇化进程、促进农业绿色发展的建议。
Analysis of China’s Agricultural Non-Point Source Pollution and Green Total Factor Productivity
Agricultural total factor productivity is an important indicator to measure and evaluate the quality of agricultural development and reform performance. Based on the panel data of 31 provinces and cities in Chinese Mainland from 2000 to 2017, this paper uses a comprehensive survey-based inventory analysis method to measure agricultural non-point source pollution in various regions, regards it as an undesired output, comprehensively uses common frontier technology and SBM (Slack Based Measure)Malmquist-Luenberger index model to measure the growth and decomposition of agricultural green total factor productivity, and builds a regression model to test the impact of urbanization on total factor productivity. The research shows: firstly, China's agricultural non-point source pollution has maintained a high emission intensity for a long time, especially in the west, which is significantly higher than other regions; from the perspective of sources, the contribution of livestock and poultry breeding exceeds 50%. Secondly, the average annual growth rate of China's agricultural green total factor productivity reaches 5.61% during the sample plate period, and the development trend is decreasing from the east to the middle to the west to the northeast. The main driving force for growth is the advancement of agricultural technology, and the efficiency of agricultural technology has shown a negative growth. Thirdly, the development of urbanization has a significant positive impact on the growth of agricultural green total factor productivity. Based on the conclusions of the analysis, this paper puts forward suggestions for transforming the production relations of small farmers, accelerating the process of urbanization, and promoting the green development of agriculture.