摘要
针对'资源诅咒'测度中存在的问题,对其进行再剖析,找出学术界对'资源诅咒'的质疑以及质疑中仍未解决的问题,即'资源诅咒'分析中指标选取的科学性问题。通过研究发现,产业空间集聚度可以更好地替代产业依赖度作为自然资源丰裕的测度指标,在此基础上选取我国油气资源城市作为研究对象,构建基于产业空间集聚度的区域经济增长计量模型,进行实证分析与假说检验,并萃取显著传导要素,分析其对产业空间集聚与区域经济增长关系的传导作用。借鉴B-K中介效应分析方法,构建'资源诅咒'传导机理的中介效应模型,进一步明确'资源诅咒'的测度指标与传导要素变量的具体关系,挖掘油气资源城市'资源诅咒'的传导机制,绘制'资源诅咒'传导机制模型。结果显示:资源产业空间集聚对于区域经济增长存在倒U型曲线关系;而物质资本投资和制造业发展对于上述'促进'关系存在遏抑作用;技术创新投入、人力资本水平和居民储蓄能力对于上述'抑制'关系存在缓释作用;在'资源诅咒'效应的抑制方面,应该着重发挥技术创新、人力资本投资以及居民储蓄能力等要素的调节作用。
The relationship between resource abundance and economic growth is important to researchers and policy makers as it plays a great role in national and regional economic development and the improvement of residents’welfare level.The resource curse is an economic hypothesis for the relationship between resource abundance and economic growth which shows that the relationship is not as simple as imagined.Therefore,the measurement and transmission analysis for the resource curse is particularly important.In recent years,the test of resource curse’s existence and endogeneity problem for intermediary variant have been solved.However,the scientificity of index selection and the simplicity of intermediary model do not have a lasting settlement.Aimed at the scientific problem of natural resources index selection in resource curse study,the spatial agglomeration of resource industry is used instead of the abundance of natural resources and the dependence of resource industry as explanatory variable for the natural resource abundance in this paper.Meanwhile,the mediating effect model of resource curse is proposed based on B-K mediation analysis.Through above analysis,the calculation formula is constructed suitable for measuring the spatial agglomeration of resource industry by the gini coefficient of Krugman.Based on the panel data of 10 typical oil and gas resource cities during 1998-2013,the spatial agglomeration degree of resource industry is analyzed.From the results of data analysis,only Nanyang City is no longer rich in oil and gas resources due tourban development transformation,which fits with the facts.A static panel regression model based on OLS as well as a dynamic panel regression model based on DIF-GMM are established for empirical testing and analysis,in order to extract the transmission elements.Through the measurement,it shows the significant mediator variables which are used as the independent variables in the mediator effect model.Then intermediary model of resource curse is constructed as to further cl
作者
薛雅伟
张剑
云乐鑫
XUE Ya-wei;ZHANG Jian;YUN Le-xin(School of Management,Qingdao University of Technology,Qingdao 266520,China;iSMART,Qingdao University of Technology,Qingdao 266033,China;Research Center for Smart City Construction and Management,Qingdao 266520,China;School of Government,Central University of Finance and Economics,Beijing 100081,China;School of Business,Qingdao University of Technology,Qingdao 266520,China)
出处
《中国管理科学》
CSSCI
CSCD
北大核心
2019年第6期179-190,共12页
Chinese Journal of Management Science
基金
国家自然科学基金资助项目(71603019,71602097)
滨海人居环境学术创新中心开放基金资助项目(201812034)
关键词
空间集聚
要素萃取
“资源诅咒”
传导机制
B-K中介效应
spatial agglomeration
elements extraction
resource curse
transmission mechanism
B-K mediator effect
