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中国耕地利用的全要素生产率在环境约束下的时空变化及其影响因素。

Total factor productivity of cultivated land use in China under environmental constraints: temporal and spatial variations and their influencing factors.

机构信息

School of Economics and Management, China University of Geosciences, No.388 Lumo Road, Wuhan, 430074, Hubei, China.

Energy Center, Economics Department, University of Auckland, Auckland, New Zealand.

出版信息

Environ Sci Pollut Res Int. 2020 May;27(15):18443-18462. doi: 10.1007/s11356-020-08264-8. Epub 2020 Mar 19.

Abstract

The continuous decline in the resource and environment-carrying capacity of cultivated land resources has seriously threatened the sustainable supply of cultivated land resources in China. Using the Hicks-Moorsteen total factor productivity index method, we examine the total factor productivity of cultivated land use (CL-TFP) in China from 2003 to 2017 under environmental constraints. We further use a panel Tobit model to estimate the effect of its influencing factors. The results show that the CL-TFP presents a fluctuating upward trend and reaches data envelopment analysis (DEA) efficiency during the sample period. The regional results reveal a significant spatial difference, especially in the mid-west region, which fails to reach DEA efficiency. China's main cultivated land did not realize economies of scale. The phenomenon of spatial polarization in what we refer to as very low-value areas and very high-value areas is clear, and the changes are gradual. Regarding the determinative influencing factors, results from the panel Tobit model show that cultivated land usage tax and environmental pollution control investment have no significant effect on CL-TFP, while income level and agricultural intermediate consumption do have a positive effect on CL-TFP. The empirical evidence can help policymakers craft and frame effective policies that improve the utilization efficiency of China's cultivated land resources.

摘要

耕地资源的数量和质量持续下降,严重威胁着中国耕地资源的可持续供应。本文利用 Hicks-Moorsteen 全要素生产率指数方法,在环境约束下,考察了 2003-2017 年中国耕地利用的全要素生产率(CL-TFP)。进一步采用面板 Tobit 模型对其影响因素进行了估计。结果表明:在样本期内,CL-TFP 呈波动上升趋势,达到数据包络分析(DEA)效率。区域结果显示存在显著的空间差异,尤其是在中西部地区,未能达到 DEA 效率。中国的主要耕地没有实现规模经济。低值区和高值区的空间极化现象明显,且变化较为平缓。关于决定因素,面板 Tobit 模型的结果表明,耕地使用税和环境污染治理投资对 CL-TFP 没有显著影响,而收入水平和农业中间消耗对 CL-TFP 有正向影响。实证证据可以帮助政策制定者制定和制定有效的政策,提高中国耕地资源的利用效率。

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