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China's agricultural green total factor productivity based on carbon emission: An analysis of evolution trend and influencing factors

机译：基于碳排放的中国农业绿色总系数生产力：进化趋势分析及影响因素

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China's economy is currently moving from a stage of high-speed growth to a stage of high-quality development. Agricultural green total factor productivity is of great significance for promoting the high-quality development of the economy. Based on the panel data of China's provincial agriculture, this paper uses the Super-SBM model to calculate China's agricultural green total factor productivity based on carbon emissions. On this basis, this paper uses the nuclear density estimation method to investigate its dynamic evolution trend and the panel data model to empirically study the influencing factors of China's agricultural green total factor productivity. The results show that China's agricultural carbon emissions show an inverted-"U" trend, but the overall growth rate shows a gradual declining trend. The main concentration areas are transferred from the eastern region to the central region, and agricultural fertilizer is the main source of such emissions. China's agricultural green total factor productivity overall shows a fluctuating growth trend, and the differences between provinces show an increasing trend. Agricultural factor endowments and regional characteristics affect China's agricultural green total factor productivity, and there are regional differences in these effects. An important way to improve China's agricultural green total factor productivity and promote the coordinated development of agricultural regions and the high-quality development of the economy is by promoting clean agricultural production, strengthening the research and development of agricultural science and technology, expanding the agricultural opening-up level, and promoting the deep integration of industrialization and agricultural modernization. (C) 2020 Elsevier Ltd. All rights reserved.
机译：中国经济目前正在从高速增长的阶段转变为高质量发展的阶段。农业绿色总系数生产力对于促进经济的高质量发展具有重要意义。基于中国省农业面板数据，本文采用超级SBM模型计算中国农业绿色总系数生产力，基于碳排放。在此基础上，本文采用核密度估计方法调查其动态演进趋势和面板数据模型，以凭经验研究中国农业绿色总系数生产力的影响因素。结果表明，中国的农业碳排放表明倒置 - “U”趋势，但整体增长率显示出逐步下降的趋势。主要集中区域从东部地区转移到中心地区，农业肥料是这种排放的主要来源。中国的农业绿色总系数生产力总体表现出了波动的增长趋势，省份之间的差异表现出越来越呈增长的趋势。农业要素禀赋和区域特征影响中国的农业绿色总系数生产力，这些效果存在区域差异。提高中国农业绿色总系数生产力和促进农业地区协调发展的重要途径和经济的高质量发展是通过促进清洁农业生产，加强农业科技的研究和发展，扩大农业开放级别，促进产业化和农业现代化的深入整合。 （c）2020 elestvier有限公司保留所有权利。

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