The Short-term Impact of Sustainable Agriculture Policy on Farmers’ Economic Welfare in China

Ang Li
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Abstract

Half of the Chinese population still consists of farmers. To increase their productivity, sustainable agriculture offers essential approaches while protecting the environment. Unlike the existing literature focusing on the long-term effects of sustainable agriculture on economic welfare, the current research examines how sustainable agriculture impacts the various aspects of farmers’ welfare in the short term. We used data from the China Health and Retirement Longitudinal Study (CHARLS) and the Chinese National Agricultural Sustainable Development Plan (2015-2030). To investigate the impact of sustainable agriculture policy on economic welfare, we also employed the Difference-in-Differences (DID) model which helped address the endogeneity problem. After the DID regression, we discovered that sustainable agriculture has a negative impact on farmers’ annual household incomes and overall health status. However, it increases the annual working time of farmers and their willingness to participate in agricultural work. To ensure the reproducibility and reliability of the result, we did the robustness test by merely keeping the key independent variables on each regression. We also employed two sets of placebo tests and an alternative DID approach for each key dependent variable. Since all the regressions are robust and all results are significant, the initial hypothesis of this paper was demonstrated. We also propose some policy suggestions based on these results.
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可持续农业政策对中国农民经济福利的短期影响
中国人口的一半仍然是农民。为了提高他们的生产力,可持续农业提供了保护环境的基本途径。与现有文献关注可持续农业对经济福利的长期影响不同,本研究考察了可持续农业如何在短期内影响农民福利的各个方面。我们使用的数据来自中国健康与退休纵向研究(CHARLS)和中国国家农业可持续发展计划(2015-2030)。为了研究可持续农业政策对经济福利的影响,我们还采用了有助于解决内生性问题的差分模型(DID)。经过DID回归,我们发现可持续农业对农户家庭年收入和整体健康状况有负向影响。然而,它增加了农民的年劳动时间和他们参与农业工作的意愿。为了保证结果的可重复性和可靠性,我们只保留每个回归的关键自变量进行稳健性检验。我们还对每个关键因变量采用了两组安慰剂试验和替代DID方法。由于所有的回归都是稳健的,所有的结果都是显著的,所以证明了本文的初始假设。并在此基础上提出政策建议。
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