摘要
通过构建嵌入政府质量和科技创新因素的经济增长模型,利用中国30个省份2004~2017年的平衡面板数据,实证检验政府质量、科技创新对绿色GDP发展的影响。研究发现:中国绿色GDP存在显著的空间集聚性及明显的区域差异性。在经济权重矩阵影响下,不同地区的政府效率、市场化程度、公平程度和腐败程度对绿色GDP的影响不同,其中政府效率、公平程度能有效促进经济发展较好地区的绿色GDP增长,却会抑制比较落后地区绿色GDP的增长;市场化程度对大部分地区绿色GDP呈现促进作用;腐败程度对地区绿色GDP增长呈阻碍作用。科技创新对各地区绿色GDP均起到积极的促进作用。因此,提升绿色GDP发展水平不仅需要提高地方政府质量,为绿色GDP发展提供符合实际的政策指导意见,还需激活企业科技创新能力,为绿色GDP发展提供有力科技保障。
By constructing an economic growth model embedded with government quality and scientific and technological innovation factors,and using the balanced panel data of 30 Chinese provinces from 2004 to 2017,the paper empirically tested the impact of government quality and scientific and technological innovation on the development of Green GDP.The results show that China's Green GDP has significant spatial agglomeration and regional differences.Under the influence of economic weight matrix,government efficiency,degree of marketization,degree of equity and degree of corruption in different regions have different influences on Green GDP.Among them,government efficiency and degree of equity can effectively promote the growth of Green GDP in regions with good economic development,but inhibit the growth of Green GDP in relatively backward regions.The degree of marketization promotes Green GDP in most regions.The level of corruption hinders the growth of Green GDP in the region.Scientific and technological innovation plays a positive role in promoting Green GDP in all regions.Therefore,to improve the development level of Green GDP,we not only need to improve the quality of local governments and provide practical policy guidance for Green GDP development,but also need to activate enterprises'ability of scientific and technological innovation to provide strong scientific and technological guarantee for Green GDP development.
作者
姜琪
王越
JIANG Qi;WANG Yue(School of Public Administration,Shandong University of Finance and Economics,Jinan,Shandong 250014,China)
出处
《贵州财经大学学报》
CSSCI
北大核心
2020年第6期87-99,共13页
Journal of Guizhou University of Finance and Economics
基金
国家社科基金项目“绿色技术创新同群效应的生成机理与政策引导研究”(项目编号:19BJY037)
山东省自然科学基金项目“制度创新视域下山东省经济增长潜在动力与提升机制研究”(项目编号:ZR2016GQ01)。