Identifying the determinants and spatial nexus of provincial carbon intensity in China: A dynamic spatial panel approach

Regional Environmental Change

Volumn 14, Issue 4, 2014, Pages 1651-1661

  Zheng, Xinye ^a   Yu, Yihua ^a   Wang, Jing ^b   Deng, Huihui ^c  

^a RENMIN UNIVERSITY OF CHINA   (China)

^b CHONGQING TECHNOLOGY AND BUSINESS UNIVERSITY   (China)

^c UNIVERSITY OF INTERNATIONAL BUSINESS AND ECONOMICS   (China)

Author keywords

Carbon intensity; Dynamic spatial panel; Environmental Kuznets curve

Indexed keywords

EID: 84904691775     PISSN: 14363798     EISSN: 1436378X     Source Type: Journal    
DOI: 10.1007/s10113-014-0611-2     Document Type: Article

References (62)

1. Anderson T, Hsiao C (1982) Formulation and estimation of dynamic models using panel data. J Econ 18: 47-82.
2. Anselin L (1991) Handbook of regional and urban economics. In: Nijkamp P (ed), Volume 1: Regional economics (North-Holland, Amsterdam, 1986). Reg Sci Urb Econ 21(1): 143-156.
3. Anselin L, Bera A, Florax R, Yoon M (1996) Simple diagnostic tests for spatial dependence. Reg Sci Urb Econ 26: 77-104.
4. Arellano M (2003) Panel data econometrics. Oxford University Press, Oxford.
5. Arellano M, Bond S (1991) Some tests of specification for panel data: monte Carlo evidence and an application to employment equations. Rev Econ Stud 58: 277-297.
6. Arellano M, Bover O (1995) Another look at the instrumental variable estimation of error-components models. J Econ 68: 29-51.
7. Baltagi B (2008) Econometric analysis of panel data, 4th edn. Wiley, Chichester.
8. Blundell R, Bond S (1998) Initial conditions and moment restrictions in dynamic panel data models. J Econ 87(1): 115-143.
9. Burnett J, Bergstrom J (2010) U. S. state-level carbon dioxide emissions: a spatial-temporal econometric approach of the environmental Kuznets curve. Faulty Series #96031 from Department of Agricultural and Applied Economics, University of Georgia.
10. Cai F (2008) Lewis turning point: a coming new stage of China's economic development. Social Sciences Academic Press, China.
11. Chen S (2011) The carbon intensity's downward fluctuation mode and economic explanations in China. World Econ 4: 124-143 (in Chinese).
12. Costantini V, Martini C (2006) A modified environmental Kuznets curve for sustainable development assessment using panel data. Working Papers 2006. 148, Fondazione Eni Enrico Mattei.
13. Dasgupta S, Laplante B, Wang H, Wheeler D (2002) Confronting the environmental Kuznets curve. J Econ Perspect 16(1): 147-168.
14. Debarsy N, Ertur C (2010) Testing for spatial autocorrelation in a fixed effects panel data model. Reg Sci Urb Econ 40: 453-470.
15. Dinda S (2004) Environmental Kuznets curve hypothesis: a survey. Ecol Econ 49(4): 431-455.
16. 2 emission evolution. Chinese J Pop Resour and Env 2: 94-99 (in Chinese).
17. Du G, Cai Y, Li S (2010) The changing trend analysis of provincial carbon intensity from fossil energy in China between 1997 and 2007. Geogr Geogr Inf Sci 5: 76-81 (in Chinese).
18. Elhorst P (2010) Dynamic panels with endogenous interaction effects when T is small. Reg Sci Urb Econ 40(5): 272-282.
19. Elhorst P (2012) Dynamic spatial panels: models, methods, and inferences. J Geogr Syst 14: 5-28.
20. Fan D, Liu H (2012) The distribution characteristics and changes of provincial carbon intensity in China. J Xi'an Inst of Finan and Econ 3: 4-10 (in Chinese).
21. Fan Y, Liu L, Wu G, Tsai H, Wei Y (2007) Changes in carbon intensity in China: empirical findings from 1980 to 2003. Ecol Econ 62(3-4): 683-691.
22. 2 emissions in a small open economy. Ecol Econ 45(1): 133-148.
23. Galeotti M, Lanza A (2005) Desperately seeking environmental Kuznets. Environ Mod Soft 20(11): 1379-1388.
24. Grossman G, Krueger A (1991) Environmental impacts of a North-American free trade agreement. NBER Working Paper 3914.
25. Hansen L (1982) Large sample properties of generalized method of moments estimators. Econometrica 50: 1029-1054.
26. Hsiao C (2003) Analysis of panel data. Cambridge University Press, Cambridge.
27. Im S, Pesaran M, Shin Y (2003) Testing for unit roots in heterogeneous panels. J Econ 115: 53-74.
28. Intergovernmental Panel on Climate Change (IPCC) (2007) IPCC fourth assessment report: climate change 2007. Cambridge University Press, Cambridge.
29. Jacobs J, Ligthart J, Vrijburg H (2009) Dynamic panel data models featuring endogenous interaction and spatially correlated errors. International Center for Public Policy (formerly the International Studies Program) Working Paper Series 0915, Andrew Young School of Policy Studies, Georgia State University.
30. Kahrl F, Roland-Holst D (2006) China's carbon challenge: Insights from the electric power sector. http://areweb. berkeley. edu/~dwrh/Docs/CCC_110106. pdf. Accessed 14 Mar 2013.
31. Kukenova M, Monteiro J (2009) Spatial dynamic panel model and system GMM: a Monte Carlo investigation IRENE Working Papers 09-01, Irene Institute of Economic Research.
32. Lee L-F, Yu J (2010) Estimation of spatial autoregressive models with fixed effects. J Econ 154: 165-185.
33. Levin A, Lin CF, Chu CSJ (2002) Unit roots tests in panel data: asymptotic and finite sample properties. J Econ 108: 1-24.
34. 2. Manag Sci 4: 27-36.
35. Lindsay H (2001) Global warming and the Kyoto Protocol. Environ Pol Iss. http://www. csa. com/discoveryguides/ern/01jul/overview. php. Accessed 14 Mar 2013.
36. 2 intensity in China. Stat Res 6: 46-50 (in Chinese).
37. Liu L, Wang J, Wu G, Wei Y (2010) China's regional carbon emissions change over 1997-2007. Int J Energy Environ 1: 161-176.
38. Millimet D, List J, Stengos T (2003) The environmental Kuznets curve: real progress or misspecified models? Rev Econ Stat 85(4): 1038-1047.
39. 2 emission. Environ Dev Econ 4: 451-463.
40. Moran P (1950) Notes on continuous stochastic phenomena. Biometrika 37(1): 17-23.
41. Narayan P, Narayan S (2010) Carbon dioxide emissions and economic growth: panel data evidence from developing countries. Energy Policy 38: 661-666.
42. Nickell S (1981) Biases in dynamic models with fixed effects. Econometrica 49: 1417-1425.
43. Panayotou T (1993) Empirical tests and policy analysis of environmental degradation at different stages of economic development World Employment Programme Research Working Paper WEP2-22/WP 238.
44. Panayotou T (2000) Economic growth and the environment. CID Working Paper 56, Harvard.
45. Phillips P, Perron P (1988) Testing for a unit root in time series regression. Biometrika 75: 335-346.
46. Roberts J, Grimes P (1997) Carbon intensity and economic development 1962-91: a brief exploration of the environmental Kuznets curve. World Dev 25: 191-198.
47. Sargan J (1958) The estimation of economic relationship using instrumental variables. J Econ Soc 26: 393-415.
48. Schmalensee R, Stoker T, Judson R (1998) World carbon dioxide emissions: 1950-2050. Rev Econ Stat 80: 15-27.
49. Soytas U, Sari R (2009) Energy consumption, economic growth, and carbon emissions: challenges faced by an EU candidate member. Ecol Econ 68: 1667-1875.
50. Stern D (2004) The rise and fall of the environmental Kuznets curve. World Dev 32: 1419-1439.
51. Tisdell C (2001) Globalisation and sustainability: environmental Kuznets curve and the WTO. Ecol Eon 39: 185-196.
52. 2 emission in China: 1957-2000. Energy 30: 73-83.
53. 2 emission. World Econ Polit 8: 47-49.
54. 2 emissions, intensity change and scale change. Energy Policy 33: 319-335.
55. 2 emissions in China during 1980-2002: the relative importance of energy supply-side and demand-side effects. Energy Policy 34: 3549-3572.
56. Yu H (2012) The determinants and spatial nexus of provincial energy consumption intensity in China. Resour Sci 7: 1353-1365 (in Chinese).
57. 2 intensity-a provincial panel data analysis in China. Econ Theory Bus Manag 3: 72-81 (in Chinese).
58. Yue C, Hu X, He C, Zhu J, Wang S, Fang J (2010) An analysis of provincial carbon emissions and carbon intensity in China from 1995 to 2007. J Peking Univ 46: 510-516 (in Chinese).
59. 2 emissions, trends, and emission reduction measures of Chinese provinces. China Soft Sci 8: 64-70 (in Chinese).
60. 2 intensity from energy consumption in China from 1999 to 2007. Environ Sci 11: 3145-3152 (in Chinese).
61. 2 emission reductions. Reg Environ Change 11: 883-891.
62. Zheng X, Li F, Song S, Yu Y (2013) Central government's infrastructure investment across Chinese regions: a dynamic spatial panel data approach. China Econ Rev 27: 264-276.