摘要
财政与金融支农是引导农业低碳化发展的重要手段。本文基于2007-2017年我国30个省、市、自治区的面板数据,运用STIRPAT模型,创新性的将财政与金融纳入统一框架,分析了我国财政支农、金融支农及其协同效应对农业碳排放的影响,同时对比检验了我国不同地区财政支农、金融支农的农业碳减排效应。结果表明,财政支农与金融支农均能显著促进农业碳排放的减少,而财政支农和金融支农的协同效应在促进农业碳减排方面并未形成良性互动;分区域分析及稳健性检验的结果验证了上述结论,且进一步得出财政支农与金融支农对农业碳排放的影响存在空间差异性。
Both Fiscal and Financial Support to Agriculture are important means to guide the development of low-carbon agriculture. Using the panel data of 30 provinces in China from 2007 to 2017, this paper utilizes the STIRPAT regression method to investigate effects of fiscal support and financial support to carbon emissions of agriculture, and their collaborative effects on carbon emissions of agriculture. the result shows that, Both fiscal and financial support to agriculture can significantly promote the reduction of agricultural carbon emissions, but the collaborative effects are significantly promoted the increase in agricultural carbon emissions. The subregional analysis and robust test results confirm the above results. Furthermore, the effects of fiscal and financial support to agriculture on low-carbon agriculture show spatial differences.
作者
陈苗苗
陈妍妍
Chen Miaomiao;Chen Yanyan(Yinchuan Central Sub-branch,the People's Bank of China;Shanghai Lixin University of Accounting and Finance)
出处
《金融发展评论》
2022年第2期29-41,共13页
Financial Development Review
