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中国地区宜居度的数量测度与空间效应 被引量:4

Quantitative Measures and Spatial Effects of Amenity in China
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摘要 本文基于补偿效用原则建立一般均衡模型,测度1998-2016年中国328个地级及以上城市的宜居水平,并选择空间杜宾模型对其影响因素与空间效应进行分析。结果表明:中国地区宜居水平增长平稳,东南沿海地区整体上优于中西部地区,地区宜居水平存在明显的正向空间自相关性;本地产出与消费水平增长能提升本地区宜居水平,固定资产投入、在岗职工和人口数量增加会降低本地的宜居水平,空间间接效应的作用要远大于直接效应,这显示地区宜居水平的实质是城市效率与城市摩擦通过人口流动相互制约的过程。地方政府在制定宜居水平提升政策时,需要考虑地区宜居度的效用补偿特征,根据限制当地宜居水平发展的具体因素有针对性地制定相关措施。 This paper sets up a general equilibrium model on the basis of compensation utility, measures the livability of 328 Chinese cities from 1998 to 2016 and chooses SDM model to analyze the influencing factors and spatial effect. The result unveils that China's regional livability is stably improving. The livability in southeastern coastal area is better than the central and western regions. Regional livability has obvious positive spatial autocorrelation. Increasing local output and consumption can improve regional livability, but increasing fixed asset, labors and population will deteriorate that;the indirect spatial effect is much stronger than the direct effect. Consequently, when making policies to improve regional livability, local government should take the compensative characteristics of regional livability into account. That is, they need to make relevant policies according to specific factors restricting regional livability development.
作者 杨勇 丁雪 赵奇伟 Yang Yong;Ding Xue;Zhao Qiwei(Center for Economic Development Research of Wuhan University;Economics and Management School of Wuhan University)
出处 《经济评论》 CSSCI 北大核心 2019年第4期49-61,共13页 Economic Review
基金 国家自然科学基金面上项目“企业区位再选择与地区生产率提升政策”(批准号:71373189) 国家自然科学基金面上项目“环境规制与‘中国式’产能过剩的防治”(批准号:71873097) 国家社会科学基金项目“基于地方政府激励的统计虚报测度及校正机制研究”(批准号:17BJL070)的资助
关键词 地区宜居度 效用补偿法 空间自相关 空间杜宾模型 Amenity Utility Compensation Spatial Autocorrelation SDM Model
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  • 1国务院新闻办公室:《中国与非洲的经贸合作(2013)》白皮书,新华网,2013年8月29日.
  • 2[美]布罗蒂加姆:《龙的礼物-中国在非洲的真实故事》,沈晓雷、高明秀译,社会科学文献出版社2012年版.
  • 3Abreu M. and H. L. F. de Groot and R.J.G.M. Florax. , Space and Growth= A Survey of Empirical Evidence and Methods. Tinbergen Institute Working Paper, No. TI 04 129/3, 2004. 11.
  • 4Anderson J. E. and Van Wincoop E. , Gravity with Gravitas : A Solution to the Border Puzzle. American Economic Review, Vol. 93, No. 1, January 2003,pp. 170-192.
  • 5Anselin, L. ,Bera, A. K. Florax, R. and Yoon, M.J. ,Simple Diagnostic Tests for Spatial Dependence. Regional Science and Urban Economics. Vol. 26, No. 1,1996, pp. 77- 104. 13.
  • 6Anselin L. and Rey S. ,Introduction to the Special Issue on Spatial Econometrics. International Regional Science Review, Vol. 20, 1997,pp. 1-7. 14.
  • 7Anselin L. , Bera A.K. , Spatial Dependence in Linear Regression Models with an Introduction to Spatial Econometrics. Statistics Textbooks and Monographs, Vol. 155, ] 998, pp. 237- 290. 15.
  • 8Anselin, L. , Le Gallo, J. ~ Jayet, H. ,Spatial Panel Econometrics. In L. Matyas ~ P. Sevestre(eds. ) ,The Econometrics of Panel Data: Fundamentals and Recent Developments in Theory and Practice, 3rd edn. Dordreeht: Kluwer Academic Publisher, 2008, pp. 627-662. 16.
  • 9Alessandria G. , Choi H. , Do Falling Iceberg Costs Explain Recent US Export Growth? Journal of International Economics, Vol. 94, No. 2, 2014, pp. 311-325. 17.
  • 10Baltagi B. , Econometric Analysis of Panel Data, 3rd edn, Chichester: John Wiley ~ Sons, 2005,p. 13. 18.

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