Spatial Interactions of China's Steel Output: An Empirical Analysis Based on Chinese Inter-provincial Panel Data
|
摘要
In view of the extensive growth of China's steel production in recent years, this paper analyzed the industrial development background and economic geography theory, and discussed the possible spatial interaction mechanism. Based on panel data of China's inter-provincial steel output from 2001 to 2015, using spatial econometric model, this paper also explored whether China's provincial steel production shows material orientation, market orientation and traffic orientation, and isolated spatial interactions of interprovincial steel output. The results showed that the inter-provincial steel production in China did show both material orientation, market orientation and traffic orientation and that there was a significant negative spatial interaction, indicating that there might be strong competition and a crowing-out effect between neighboring provinces, and that the smaller the spatial scope, the more significant the spatial interactions of steel production.
In view of the extensive growth of China's steel production in recent years, this paper analyzed the industrial development background and economic geography theory, and discussed the possible spatial interaction mechanism. Based on panel data of China's inter-provincial steel output from 2001 to 2015, using spatial econometric model, this paper also explored whether China's provincial steel production shows material orientation, market orientation and traffic orientation, and isolated spatial interactions of interprovincial steel output. The results showed that the inter-provincial steel production in China did show both material orientation, market orientation and traffic orientation and that there was a significant negative spatial interaction, indicating that there might be strong competition and a crowing-out effect between neighboring provinces, and that the smaller the spatial scope, the more significant the spatial interactions of steel production.
In view of the extensive growth of China's steel production in recent years, this paper analyzed the industrial development background and economic geography theory, and discussed the possible spatial interaction mechanism. Based on panel data of China's inter-provincial steel output from 2001 to 2015, using spatial econometric model, this paper also explored whether China's provincial steel production shows material orientation, market orientation and traffic orientation, and isolated spatial interactions of interprovincial steel output. The results showed that the inter-provincial steel production in China did show both material orientation, market orientation and traffic orientation and that there was a significant negative spatial interaction, indicating that there might be strong competition and a crowing-out effect between neighboring provinces, and that the smaller the spatial scope, the more significant the spatial interactions of steel production.
引文
[1]Fujita,M.&Thisse,J.(2002).The economics of agglomeration.Cambridge:Cambridge University Press.
[2]Marshal,A.(2004).The principles of economics.Political Science Quarterly,77(2),519-524.
[3]Wallsten,S.J.(2001).An empirical test of geographic knowledge spillovers using geographic information systems and firm-level data.Regional Science&Urban Economics,31(5),571-599.
[4]Moretti,E.(2004).Estimating the social return to higher education:evidence from longitudinal and repeated cross-sectional data.Journal of Econometrics,121(1-2),175-212.
[5]Arthur,W.B.(1989).Competing technologies,increasing returns,and lock-in by historical event.Economic Journal,99(394),116-131.
[6]Krugman,P.(1991).Increasing returns and economic geography.Journal of Political Economy,99(3),483-499.
[7]Crozet,M.,Mayer,T.&Mucchielli,J.L.(2004).How do firms agglomerate?A study of FDI in France.Regional Science&Urban Economics,34(1),27-54.
[8]Head,K.&Mayer,T.(2004).The empirics of agglomeration and trade.Handbook of Regional&Urban Economics,4(4),2609-2669.
[9]Lee,D.S.&Lemieux,T.(2010).Regression discontinuity designs in economics.Journal of Economic Literature,48(2),281-355.
[10]Elhorst,J.P.(2014).Matlab software for spatial panels.International Regional Science Review,37(3),389-405.
[11]Blonigen,B.A.,Davies,R.B.&Waddell,G.R.et al.(2007).FDI in space:Spatial autoregressive relationships in foreign direct investment.European Economic Review,51(5),1303-1325.
[12]Yang,H.S.,Nie,H.F.&Xu,X.X.(2010).The third-province effect in the selection of FDIregion.The Journal of Quantitative&Technical Economics,(4),122-136.
[13]Rawlings,G.(2005).Mobile people,mobile capital and tax neutrality:Sustaining a market for Offshore Finance Centres.Accounting Forum,29(3),289-310.
[14]LeSage,J.P.&Llano,C.(2013).A spatial interaction model with spatially structured origin and destination effects.Journal of Geo-graphical Systems,15(3),265-289.
[15]Liu,W.D.,Liu,H.G.&Fan,X.M.et al.(2012).Sector-specific spatial statistic model for estimating inter-regional trade flows:A case study of agricultural,chemical and electronic sectors in China.Acta Geographica Sinica,67(2),147-156.
[16]Wang,Q.X.&Xu,W.X.(2014).Analysis of the interactive panel of China’s inter-provincial trade space under multi-dimensional distance.China Industrial Economics,(3),31-43.
[17]Ramachandran,K.(1987).Industrial location dynamics:Location theory revisited.Keio Business Review,(24),73-85.
[18]Martin,P.&Rogers,C.A.(1995).Industrial location and public infrastructure.Journal of International Economics,(2),335-351.
[19]Deichmann,U.,Lall,S.V.&Redding,S.J.(2008).Industrial location in developing countries.The World Bank Research Observer,(5),1-28.
[20]Xu,K.Y.&Han,J.(2006).A Study on the Degree of Concentration,Layout and Structure Optimization of the Iron and Steel Industry in China.China Industrial Economics,(2),37-44.
[21]Wang,H.Z.,Luan,W.X.&Ma,X.H.(2011).Study on coastal distribution strategy of steel industry in China.World Geography Research,(2),140-147.
[22]Wang,H.,Luan,W.X.&Yang,Y.J.(2014).Study on the trend of coastal layout of steel industry in China.Marine Environmental Science,(3),477-481.
[2]Marshal,A.(2004).The principles of economics.Political Science Quarterly,77(2),519-524.
[3]Wallsten,S.J.(2001).An empirical test of geographic knowledge spillovers using geographic information systems and firm-level data.Regional Science&Urban Economics,31(5),571-599.
[4]Moretti,E.(2004).Estimating the social return to higher education:evidence from longitudinal and repeated cross-sectional data.Journal of Econometrics,121(1-2),175-212.
[5]Arthur,W.B.(1989).Competing technologies,increasing returns,and lock-in by historical event.Economic Journal,99(394),116-131.
[6]Krugman,P.(1991).Increasing returns and economic geography.Journal of Political Economy,99(3),483-499.
[7]Crozet,M.,Mayer,T.&Mucchielli,J.L.(2004).How do firms agglomerate?A study of FDI in France.Regional Science&Urban Economics,34(1),27-54.
[8]Head,K.&Mayer,T.(2004).The empirics of agglomeration and trade.Handbook of Regional&Urban Economics,4(4),2609-2669.
[9]Lee,D.S.&Lemieux,T.(2010).Regression discontinuity designs in economics.Journal of Economic Literature,48(2),281-355.
[10]Elhorst,J.P.(2014).Matlab software for spatial panels.International Regional Science Review,37(3),389-405.
[11]Blonigen,B.A.,Davies,R.B.&Waddell,G.R.et al.(2007).FDI in space:Spatial autoregressive relationships in foreign direct investment.European Economic Review,51(5),1303-1325.
[12]Yang,H.S.,Nie,H.F.&Xu,X.X.(2010).The third-province effect in the selection of FDIregion.The Journal of Quantitative&Technical Economics,(4),122-136.
[13]Rawlings,G.(2005).Mobile people,mobile capital and tax neutrality:Sustaining a market for Offshore Finance Centres.Accounting Forum,29(3),289-310.
[14]LeSage,J.P.&Llano,C.(2013).A spatial interaction model with spatially structured origin and destination effects.Journal of Geo-graphical Systems,15(3),265-289.
[15]Liu,W.D.,Liu,H.G.&Fan,X.M.et al.(2012).Sector-specific spatial statistic model for estimating inter-regional trade flows:A case study of agricultural,chemical and electronic sectors in China.Acta Geographica Sinica,67(2),147-156.
[16]Wang,Q.X.&Xu,W.X.(2014).Analysis of the interactive panel of China’s inter-provincial trade space under multi-dimensional distance.China Industrial Economics,(3),31-43.
[17]Ramachandran,K.(1987).Industrial location dynamics:Location theory revisited.Keio Business Review,(24),73-85.
[18]Martin,P.&Rogers,C.A.(1995).Industrial location and public infrastructure.Journal of International Economics,(2),335-351.
[19]Deichmann,U.,Lall,S.V.&Redding,S.J.(2008).Industrial location in developing countries.The World Bank Research Observer,(5),1-28.
[20]Xu,K.Y.&Han,J.(2006).A Study on the Degree of Concentration,Layout and Structure Optimization of the Iron and Steel Industry in China.China Industrial Economics,(2),37-44.
[21]Wang,H.Z.,Luan,W.X.&Ma,X.H.(2011).Study on coastal distribution strategy of steel industry in China.World Geography Research,(2),140-147.
[22]Wang,H.,Luan,W.X.&Yang,Y.J.(2014).Study on the trend of coastal layout of steel industry in China.Marine Environmental Science,(3),477-481.