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农业企业全要素生产率的碳排放交易政策效应及机制研究。

Research on the Policy Effect and Mechanism of Carbon Emission Trading on the Total Factor Productivity of Agricultural Enterprises.

机构信息

School of Economics and Management, Henan Agricultural University, Ping An Avenue 218, Zhengzhou 450000, China.

出版信息

Int J Environ Res Public Health. 2022 Jun 21;19(13):7581. doi: 10.3390/ijerph19137581.

DOI:10.3390/ijerph19137581
PMID:35805258
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9265810/
Abstract

Given the rural revitalization strategy in the new era, agricultural development is faced with the dual constraints of resources and the environment. Promoting the green development of agriculture is one of the important missions to solve major social issues in the new era. The implementation goal of the carbon emission trading system is to achieve a win-win situation between carbon emission reduction and green development. To evaluate the effectiveness of the carbon emission trading system on agricultural enterprises, this paper uses a double-difference model to analyze the policy effect and mechanism research path of the impact of the carbon emission trading system on the total factor productivity of agricultural enterprises. The results based on the panel data of listed agricultural companies from 2010 to 2020 show that (1) carbon emission trading rights have significantly improved the total factor productivity of agricultural enterprises; (2) green innovation in carbon emission trading rights have an impact on the total factor productivity of agricultural enterprises; and (3) heterogeneity analysis shows that the effect of carbon emission trading rights on the total factor productivity of agricultural enterprises mainly exists in large-scale, nonstate-owned, high-debt enterprises, enterprises in the eastern region, and enterprises with government subsidies. Therefore, in the future, China should continue to implement the current carbon emission trading rights system in air pollution control, and at the same time, it needs to be supplemented by government intervention and other means for long-term governance. In conclusion, the study provides a reference value for promoting the realization of the long-term goal of "low carbon" and "high quality" green development of agricultural economy and for making reasonable and effective behavioral decisions for the survival and development of enterprises.

摘要

在新时代乡村振兴战略背景下,农业发展面临资源和环境的双重约束。推动农业绿色发展,是解决新时代重大社会问题的重要任务之一。碳排放权交易制度的实施目标是实现减排与绿色发展的双赢。为了评估碳排放交易制度对农业企业的有效性,本文采用双重差分模型,分析了碳排放交易制度对农业企业全要素生产率的影响的政策效应和机制研究路径。基于 2010 年至 2020 年上市农业公司的面板数据得出的结果表明:(1)碳排放权交易显著提高了农业企业的全要素生产率;(2)碳排放在碳排放权交易中的创新对农业企业的全要素生产率有影响;(3)异质性分析表明,碳排放权对农业企业全要素生产率的影响主要存在于大规模、非国有、高负债企业、东部地区企业和有政府补贴的企业中。因此,未来中国应继续在空气污染控制方面实施现行的碳排放权制度,同时需要通过政府干预等手段进行长期治理。总之,本研究为推动农业经济“低碳”和“高质量”绿色发展的长期目标的实现提供了参考价值,也为企业的生存和发展做出合理有效的行为决策提供了参考价值。

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本文引用的文献

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Environ Sci Pollut Res Int. 2022 Jul;29(35):53785-53800. doi: 10.1007/s11356-022-19576-2. Epub 2022 Mar 15.
2
Can digital finance promote corporate green innovation?数字金融能促进企业绿色创新吗?
Environ Sci Pollut Res Int. 2022 May;29(24):35828-35840. doi: 10.1007/s11356-022-18667-4. Epub 2022 Jan 21.
3
Research on the Impact of Government Environmental Information Disclosure on Green Total Factor Productivity: Empirical Experience from Chinese Province.政府环境信息披露对绿色全要素生产率的影响研究:来自中国省份的经验证据。
Int J Environ Res Public Health. 2022 Jan 10;19(2):729. doi: 10.3390/ijerph19020729.
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Innovation and green total factor productivity in China: a linear and nonlinear investigation.中国的创新与绿色全要素生产率:线性和非线性研究
Environ Sci Pollut Res Int. 2022 Feb;29(9):12810-12831. doi: 10.1007/s11356-020-11436-1. Epub 2020 Nov 14.