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环境约束下中国工业用地投入对经济增长的影响——基于“绿色索洛模型”的分析 被引量:12

The impact of industrial land input on economic growth under environmental restraints in China:analysis based on the Green Solow Model
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摘要 工业生产促进经济增长的过程内含"环境代价",一定程度上造成了经济损失。本文在理论上构建了包含土地和环境要素在内的"绿色索洛模型",考察工业用地投入和环境污染对经济增长的影响与约束,以消除工业经济增长中的环境代价。并利用中国2000-2010年省际面板数据进行实证检验。研究结果表明:①环境约束下,索洛模型仍存在平衡增长路径;②土地要素对经济增长呈正向作用,但地区间存在差异,其中中部地区影响最大,东部地区次之,西部地区最小;③环境要素对经济增长的影响取决于正/负效应共同的作用结果,总体来看,除工业固体废弃物外,工业废水、工业SO_2、工业NO_X、工业烟(粉)尘等的排放对经济增长均呈明显抑制作用,且工业废气对经济增长的抑制作用较工业废水更强。在未来经济发展中,应摒弃传统的"低成本"工业化模式,积极探索建立绿色国民经济核算体系;同时加快用地企业科技创新,尤其是环境保护和污染治理方面的科技创新,减少工业用地投产过程中的环境外部性。 Environmental costs occur when industrial production promotes economic growth, leading to economic losses to some extent. Here we construct a Green Solow Model of land and environmental factors to analyze how industrial land inputs and environmental pollution impact economic growth in China with the aim of eliminating environmental costs during industrial growth. We used China' provincial panel data of 2000-2010 to conduct empirical test simultaneously. We found that ①under environmental constraints, the Solow Model retained balanced growth. ②Land elements had a positive effect on economic growth, but there were differences between regions, of which the central region had the greatest impact, the eastem region followed, and the western region was the smallest. ③How environmental factors influenced economic growth depended on the joint results of positive and negative effects. In addition to industrial solid waste, the effect of industrial wastewater, industrial sulfur dioxide, industrial nitrogen oxides, industrial dust (dust) and other emissions on the economic growth were significantly inhibited, and the inhibition of industrial emissions on economic growth was stronger than industrial wastewater. In the future economic development, we should abandon the traditional "low-cost" industrialization model, and actively explore to establish a green national economic accounting system. At the same time speed up the use of scientific and technological innovation, especially environmental protection and pollution control technology innovation, to reduce industry environmental externality in the process of land production.
作者 丁琳琳 吴群
出处 《资源科学》 CSSCI CSCD 北大核心 2017年第4期620-628,共9页 Resources Science
基金 高等学校博士学科点专项科研基金资助项目(20130097110039) 国家自然科学基金(重点)资助项目(71233004)
关键词 工业用地投入 环境污染 经济增长 绿色索洛模型 中国 industrial land input environmental pollution economic growth Green Solow Model China
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