退耕还林生态补偿与县域经济增长的关系分析——基于拉姆塞-卡斯-库普曼宏观增长模型

发布时间：2018-02-26 14:02

本文关键词： 生态补偿退耕还林经济增长县域模型拉姆塞-卡斯-库普曼宏观增长模型陕西　出处：《资源科学》2017年09期 　论文类型：期刊论文

【摘要】：已有关于生态补偿的研究,较少从宏观视角考虑生态补偿资金规模对区域经济增长的影响。本文在拉姆塞-卡斯-库普曼宏观增长模型的基础上,纳入生态补偿提供资金和生态效益的过程,从理论上分析生态补偿资金投入对经济增长的影响,表明生态补偿资金通过提高资本的增长率进而推动经济增长。再利用陕西省79个退耕还林县的统计数据进行实证研究。首先,采用二步聚类法对陕西省内各县的退耕还林规模加以分类,并以此作为解释变量进行面板回归,分析退耕还林规模对县域经济增长的平均影响,结果表明退耕还林促进县域经济增长,且高退耕还林规模对县域经济增长的促进作用更大。然后,采用分位数回归方法分析在不同经济增长率条件下,退耕还林规模对经济增长的边际影响,结果表明,县域经济增长率越高,退耕还林生态补偿对经济增长的作用越大;无论县域经济增长率如何变化,退耕地还林对县域经济增长的促进作用都大于荒山荒地造林和封山育林。
[Abstract]:Study on ecological compensation for ecological compensation funds, less considering the influence of scale on regional economic growth from the macro perspective. Based on Ramsey CASS and Koopmans macro growth model, provide capital into ecological compensation and ecological benefits, from the theoretical analysis of ecological compensation fund investment impact on economic growth, the results showed that the ecological the compensation funds by raising capital growth rate and promote economic growth. The empirical study of Shaanxi Province Statistics data of 79 forest county. First, the two step clustering method on Shaanxi province county returning farmland to forest scale classified, and as the panel regression analysis of the explanatory variables, the scale of returning farmland to forests on the average impact of county economic growth. The results show that returning farmland to forest and promote economic growth in the county, and returning farmland to forest scale to promote county economic growth A more important role. Then, using quantile regression analysis in different growth conditions, the marginal effect of returning farmland to forest, the scale of economic growth. The results show that the economic growth rate is high, the forest ecological compensation greater effect on economic growth; economic growth in county area regardless of how changes in farmland to the forest of county economic growth is greater than the afforestation of barren hills and wasteland and afforestation.

【作者单位】：西安交通大学经济与金融学院;
【基金】：国家社会科学基金重大攻关项目(12&ZD072)
【分类号】：F127;X22

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