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农地流入是否提高了中国农户的绿色全要素生产率?基于倾向得分匹配法的实证分析

Does farmland inflow improve the green total factor productivity of farmers in China? An empirical analysis based on a propensity score matching method.

作者信息

Li Lin, Han Jiliang, Zhu Yuchun

机构信息

College of Economics and Management, Northwest A&F University, Yangling 712100, Shaanxi, China.

出版信息

Heliyon. 2023 Feb 15;9(3):e13750. doi: 10.1016/j.heliyon.2023.e13750. eCollection 2023 Mar.

DOI:10.1016/j.heliyon.2023.e13750
PMID:36873501
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9981913/
Abstract

Promoting the "double security" of agricultural economy and ecology is the key to the agricultural modernization strategy, and the large-scale development of agriculture is an essential way for modern agriculture. Based on the micro-survey of 697 corn growers from August to September 2020 in China, the super-efficiency SBM model was used to calculate farmers' green total factor productivity. We further used the propensity score matching method to identify the impact of farmland inflow on farmers' green total factor productivity and dissect the internal mechanism. The study found that: firstly, compared with the non-inflowed households, the green total factor productivity of the inflowed households increased by 14.66%; secondly, farmland inflow can significantly improve farmers' green total factor productivity through the marginal output leveling effect, transaction benefit effect, and technology adoption effect; thirdly, the influence of farmland inflow on the green total factor productivity of farmers has heterogeneity in age, identity, and geographical location. Therefore, governments should establish a differentiated farmland inflow mechanism according to local conditions, enhance factor mobility and soil fertility monitoring capabilities, and drive a "win-win" between economic development and ecological protection.

摘要

促进农业经济与生态“双安全”是农业现代化战略的关键,农业规模化发展是现代农业的必由之路。基于对2020年8月至9月中国697位玉米种植户的微观调查,运用超效率SBM模型测算农户绿色全要素生产率。进一步采用倾向得分匹配法识别农地流入对农户绿色全要素生产率的影响并剖析其内在机制。研究发现:一是与未流入农户相比,流入农户的绿色全要素生产率提高了14.66%;二是农地流入可通过边际产出平抑效应、交易收益效应和技术采纳效应显著提高农户绿色全要素生产率;三是农地流入对农户绿色全要素生产率的影响在年龄、身份和地理位置上存在异质性。因此,政府应因地制宜建立差异化的农地流入机制,增强要素流动性和土壤肥力监测能力,推动经济发展与生态保护“双赢”。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c14/9981913/c7548c07fb3e/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c14/9981913/90c9b14ae850/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c14/9981913/c9868f640e22/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c14/9981913/a7c2356684b0/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c14/9981913/c7548c07fb3e/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c14/9981913/90c9b14ae850/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c14/9981913/c9868f640e22/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c14/9981913/a7c2356684b0/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c14/9981913/c7548c07fb3e/gr4.jpg

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