School of Public Administration, Tianjin University of Commerce, No.409 Guangrong Rd., Beichen District, Tianjin, 300134, People's Republic of China.
School of Economics, Zhejiang University of Finance and Economics, Hangzhou, 310018, China.
Environ Sci Pollut Res Int. 2018 Nov;25(32):32096-32111. doi: 10.1007/s11356-018-3142-4. Epub 2018 Sep 13.
With limited resources, growing environment constraints and downward pressure on the economy, increasing agricultural environmental total factor productivity (AETFP) and its contribution to agricultural growth is significant for transforming agricultural development to make it more resource efficient and environment-friendly. This paper considered technological heterogeneity in different regions of China and measured AETFP in 30 provinces from 1997 to 2015 using the Metafrontier Malmquist-Luenberger (MML) productivity index. Multi-dimensional analysis was made on temporal and spatial characteristics, evolution patterns, and influencing factors of AETFP in China. The results showed that: (1) AETFP increased in the Ninth, Tenth, Eleventh, and Twelfth Five-Year Plan periods, with average annual growth rates of 0.76%, 0.88%, 1.17%, and 0.87%, respectively. (2) The average annual growth rate of AETFP in the eastern, central, and western regions decreased successively. The eastern region generally had played a leading role. The central region had a catch-up effect on environmental production technologies from the eastern region, while the western region lacked the catch-up effect. (3) The dynamic evolution of AETFP had prominent features. For the whole nation, the kernel density curve of AETFP continuously moved to the right. The main peak value continuously decreased and the width of the main peak continuously increased. The internal differences of AETFP in the eastern and western regions exhibited an increasing trend, while the internal differences of AETFP in the central region showed little change. (4) There was an inverted U-shaped relationship between agricultural economic growth and AETFP. Both the disaster rate and planting structure had a negative impact on AETFP with varying degrees of significance. Income gaps between urban and rural areas can partially offset the role of urbanization in promoting the growth of AETFP. The greater the income differences between urban and rural areas, the weaker the role of urbanization in promoting the growth of AETFP. These findings can help the government determine policies to change the agricultural development mode and formulate effective measures to improve AETFP.
在资源有限、环境约束日益增加和经济下行压力的情况下,提高农业环境全要素生产率(AETFP)及其对农业增长的贡献对于转变农业发展方式、提高资源效率和环境友好性具有重要意义。本文考虑了中国不同地区的技术异质性,利用 Metafrontier Malmquist-Luenberger(MML)生产率指数,测算了 1997 年至 2015 年 30 个省份的 AETFP。对中国 AETFP 的时空特征、演变模式和影响因素进行了多维分析。结果表明:(1)九五、十五、十一五和十二五期间 AETFP 呈上升趋势,年均增长率分别为 0.76%、0.88%、1.17%和 0.87%。(2)东、中、西部地区 AETFP 的年均增长率依次递减,东部地区总体上发挥了主导作用。中部地区在环境生产技术方面对东部地区有追赶效应,而西部地区缺乏追赶效应。(3)AETFP 的动态演变具有显著特征。就全国而言,AETFP 的核密度曲线不断向右移动。主要峰值不断降低,主要峰值宽度不断增加。东、西部地区 AETFP 的内部差异呈增大趋势,而中部地区 AETFP 的内部差异变化不大。(4)农业经济增长与 AETFP 之间存在倒 U 型关系。灾害率和种植结构对 AETFP 都有不同程度的负向影响。城乡收入差距可以部分抵消城市化对 AETFP 增长的促进作用。城乡收入差距越大,城市化对 AETFP 增长的促进作用越弱。这些发现有助于政府确定改变农业发展模式的政策,制定提高 AETFP 的有效措施。