人力资本流动、技术溢出与产业空间均衡——基于新经济地理学OTT分析框架的模型拓展Human Capital Migration,Technology Spillover and Industrial Spatial Equilibria——A Model Extension of New Economic Geography in OTT Analysis Framework
何雄浪,姚雨霜
摘要(Abstract):
与新经济地理学的DCI分析框架相比,OTT分析框架最关键的变化是采用的效用函数为准线性二次效用函数,而不是柯布-道格拉斯型嵌套不变替代弹性的效用函数;另一个重要的变化是以线性运输成本取代“冰山”交易成本。在OTT分析框架下,本文将技术溢出引入线性自由企业家模型里,从而本文发展的新线性自由企业家模型不仅可以验证原始线性FE模型的结论,而且与原始线性FE模型相比,本文的研究也得到一些新的结论:运输成本、消费者对不同工业品偏好、工业品间替代性、本地溢出效应、跨界溢出效应的增加都会增加本地市场效应;市场拥挤效应的存在是有前提条件的,当地区间商品运输成本较小、消费者消费不同工业品的偏好程度较大、工业品之间的替代能力较低、本地技术溢出效应较大或跨界技术溢出效应较小时,则有可能导致市场拥挤效应的消失,这时市场拥挤效应逆转为促进产业集聚的动力;本文模型中的突破点可能大于、等于或小于持续点,这意味着随着运输成本的变化,内部非对称稳定均衡结构的出现成为一种可能。
关键词(KeyWords): 线性自由企业家模型;技术溢出效应;产业空间均衡;新经济地理学OTT分析框架
基金项目(Foundation): 国家社科基金项目“环境约束下长江经济带城市群产业联动高质量发展研究”(21BJL045)的资助
作者(Author): 何雄浪,姚雨霜
DOI: 10.16513/j.cnki.cje.20220221.001
参考文献(References):
- 成肖.2018.新经济地理学视角下的中国地方政府税收竞争研究[D].重庆:重庆大学.
- 刘越,闵路路.2018.交通基础设施对经济集聚的溢出效应研究——基于空间经济学视角[J].东北农业大学学报(社会科学版),16(3):9-20.Liu Y,Min L L.2018.Research on the spillover effect of transportation infrastructure on economic agglomeration—Based on the perspective of spatial economics[J].Journal of Northeast Agricultural University (Social Science Edition),16(3):9-20.(in Chinese)
- Basile R,Capello R,Caragliu A.2012.Technological interdependence and regional growth in Europe:Proximity and synergy in knowledge spillovers[J].Papers in Regional Science,91(4):697-722.
- Behrens K,Picard P M.2011.Transportation,freight rates,and economic geography[J].Journal of International Economics,85(2):280-291.
- Behrens K.2011.International integration and regional inequalities:How important is national infrastructure?[J].The Manchester School,79(5):952-971.
- Chamberlin E H.1933.The theory of monopolistic competition[M].Cambridge:Harvard University Press.
- Commendatore P,Kubin I,Petraglia C,et al.2014.Regional integration,international liberalisation and the dynamics of industrial agglomeration[J].Journal of Economic Dynamics and Control,48:265-287.
- Commendatore P,Filoso V,Grafeneder-Weissteiner T,et al.2015.Towards a multiregional NEG framework:Comparing alternative modelling strategies[M]//Commendatore P,Kayam S,Kubin I.Complexity and Geographical Economics:Topics and Tools.Cham:Springer,13-50.
- Coscia M,Neffke F M H,Hausmann R.2020.Knowledge diffusion in the network of international business travel[J].Nature Human Behaviour,4(10):1011-1020.
- Currid E,Connolly J.2008.Patterns of knowledge:The geography of advanced services and the case of art and culture[J].Annals of the Association of American Geographers,98(2):414-434.
- Dixit A K,Stiglitz J E.1977.Monopolistic competition and optimum product diversity[J].American Economic Review,67(3):297-308.
- Fujita M,Krugman P,Venables A J.1999.The spatial economy:Cities,regions,and international trade[M].Cambridge:The MIT Press.
- Fujita M.2007.The development of regional integration in East Asia:From the viewpoint of spatial economics[J].Review of Urban & Regional Development Studies,19(1):2-20.
- Gaspar J,Glaeser E L.1998.Information technology and the future of cities[J].Journal of Urban Economics,43(1):136-156.
- Isard W.1956.Location and space-economy:A general theory relating to Ind[M].New York:The MIT Press.
- Krugman P.1991.Increasing returns and economic geography[J].Journal of Political Economy,99(3):483-499.
- Krugman P,Elizondo R L.1996.Trade policy and the third world metropolis[J].Journal of Development Economics,49(1):137-150.
- Krugman P.1998.What's new about the new economic geography?[J].Oxford Review of Economic Policy,14(2):7-17.
- Marshall A.1890.Principles of economics:An introductory volume[M].London:Macmillan.
- Martin P,Ottaviano G I P.2001.Growth and agglomeration[J].International Economic Review,42(4):947-968.
- Martin R,Moodysson J.2013.Comparing knowledge bases:On the geography and organization of knowledge sourcing in the regional innovation system of Scania,Sweden[J].European Urban and Regional Studies,20(2):170-187.
- Nonaka I,Takeuchi H.1995.The knowledge-creating company:How Japanese companies create the dynamics of innovation[M].New York:Oxford University Press.
- Ottaviano G,Tabuchi T,Thisse J F.2002.Agglomeration and trade revisited[J].International Economic Review,43(2):409-435.
- Ottaviano G I P.2001.Monopolistic competition,trade,and endogenous spatial fluctuations[J].Regional Science and Urban Economics,31(1):51-77.
- Ottaviano G I P,van Ypersele T.2005.Market size and tax competition[J].Journal of International Economics,67(1):25-46.
- Ottaviano G I P.2012a.Firm heterogeneity,endogenous entry,and the business cycle[J].NBER International Seminar on Macroeconomics,8(1):57-86.
- Ottaviano G I P.2012b.Agglomeration,trade and selection[J].Regional Science and Urban Economics,42(6):987-997.
- Paluzie E.2001.Trade policy and regional inequalities[J].Papers in Regional Science,80(1):67-85.
- Parenti M,Ushchev P,Thisse J F.2017.Toward a theory of monopolistic competition[J].Journal of Economic Theory,167:86-115.
- Picard P M,Okubo T.2012.Firms' locations under demand heterogeneity[J].Regional Science and Urban Economics,42(6):961-974.
- Robinson J.1933.The economics of imperfect competition[M].London:Macmillan.
- Samuelson P A.1954.The transfer problem and transport costs,II:Analysis of effects of trade impediments[J].The Economic Journal,64(254):264-289.
- Venables A J.1996.Equilibrium locations of vertically linked industries[J].International Economic Review,37(2):341-359.
- (1)由于该分析框架的主要贡献者是Ottaviano、Tabuchi与Thisse,因此被后来的学者称之为OTT分析框架。
- (2)广州日报数据和数字化研究院(GDI智库).粤港澳大湾区协同创新发展报告(2019)[EB/OL].http://www.gzgddi.com/index.php?m=content&c=index&a=show&catid=17&id=312.
- (3)当■时,■。
- (4)α=5,β=2,δ=1,μ=0.1,λ=0.5,■=0.4。τ<3.00时满足贸易发生条件,下文中,我们不再指出贸易发生条件,数字模拟中,本文临界值一般精确到两位有效小数,特殊要求的地方除外。通过图示能使本文的研究结论更为清晰,数字模拟研究也是新经济地理研究中常用的方法之一。由此,本文的一些研究结论也建立在数字模拟的基础上,本文数字模拟得出的结论在本质上具有稳定性,不会随着外生参数取值的变化导致结论发生根本性的变化。
- (5)α=5,β=2,μ=0.1,λ=0.5,■=0.4,τ=1。
- (6)β=2,δ=1,μ=0.1,λ=0.5,■=0.4,τ=1。
- (7)α=5,β=2,δ=1.7,μ=0.1,■=2,τ=1。
- (8)α=5,β=2,δ=1,μ=0.1,λ=0.5,τ=2.35。
- (9)α=5,β=2,δ=1.8,λ=0.5,■=0.4,τ=1。
- (10)β=2,δ=1,μ=0.1,λ=0.5,■=0.4,τ=1。
- (11)α=5,β=2,δ=1.8,λ=0.5,■=0.4,τ=1。
- (12)α=5,β=2,μ=0.5,λ=0.5,■=0.4,τ=0.2。
- (13)α=5,β=2,δ=1.7,μ=0.1,■=2,τ=1。
- (14)α=5,β=2,δ=1,μ=0.1,λ=0.5,τ=2.35。
- (15)β=2,δ=1,λ=2,■=0.4,μ=0.1。
- (16)α=15,β=2,δ=1,λ=2,■=0.2。
- (17)α=10,β=2,δ=1,■=0.4,μ=0.1。
- (18)α=10,β=2,δ=1,λ=2,μ=0.1。
- (19)α=15,β=2,λ=2,■=0.4,μ=0.1。
- (20)此时临界值的计算精确到四位有效小数,下同。