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The research on generalized regional “resource curse” in China's new normal stage

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  • Xu, Xiaoliang
  • Xu, Xuefen
  • Chen, Qian
  • Che, Ying

Abstract

“Resource curse” phenomenon emerged as the greatest challenge for the social sustainable development in China's new normal stage. The paper looked into the changes of generalized regional “resource curse” with observations of data from 1998 to 2013 years by using a spatial dynamic panel data model; and the paper further explored the key factors and mechanism of generalized regional “resource curse” with Chinese northeast region as an example. The results showed: when considering the losses of resources using and environment pollution in social development, generalized “resource curse” did not exist in national level, but appeared in some regions such as Yellow River center region, northeast region and northwest region; and more complicated in Yangtze River center region and southwest region due to their specific conditions. Several important variables including resources and environment regulation policy, economy policy, regional location might be important factors. Regional location had a more significant impact on regional development, but if from a longer time latitude, increasingly stricter resources and environment regulation policy could make generalized regional “resource curse” less happen, but the impacts by regional location might be even more important.

Suggested Citation

  • Xu, Xiaoliang & Xu, Xuefen & Chen, Qian & Che, Ying, 2016. "The research on generalized regional “resource curse” in China's new normal stage," Resources Policy, Elsevier, vol. 49(C), pages 12-19.
  • Handle: RePEc:eee:jrpoli:v:49:y:2016:i:c:p:12-19
    DOI: 10.1016/j.resourpol.2016.04.002
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    1. Yu, Jihai & de Jong, Robert & Lee, Lung-fei, 2008. "Quasi-maximum likelihood estimators for spatial dynamic panel data with fixed effects when both n and T are large," Journal of Econometrics, Elsevier, vol. 146(1), pages 118-134, September.
    2. Halvor Mehlum & Karl Moene & Ragnar Torvik, 2006. "Institutions and the Resource Curse," Economic Journal, Royal Economic Society, vol. 116(508), pages 1-20, January.
    3. Pegg, Scott, 2010. "Is there a Dutch disease in Botswana?," Resources Policy, Elsevier, vol. 35(1), pages 14-19, March.
    4. Dülger, Fikret & Lopcu, Kenan & Burgaç, Almıla & Ballı, Esra, 2013. "Is Russia suffering from Dutch Disease? Cointegration with structural break," Resources Policy, Elsevier, vol. 38(4), pages 605-612.
    5. Eisgruber, Lasse, 2013. "The resource curse: Analysis of the applicability to the large-scale export of electricity from renewable resources," Energy Policy, Elsevier, vol. 57(C), pages 429-440.
    6. Auty, R. & Warhurst, A., 1993. "Sustainable development in mineral exporting economies," Resources Policy, Elsevier, vol. 19(1), pages 14-29, March.
    7. Stevens, Paul & Dietsche, Evelyn, 2008. "Resource curse: An analysis of causes, experiences and possible ways forward," Energy Policy, Elsevier, vol. 36(1), pages 56-65, January.
    8. Shao, Shuai & Yang, Lili, 2014. "Natural resource dependence, human capital accumulation, and economic growth: A combined explanation for the resource curse and the resource blessing," Energy Policy, Elsevier, vol. 74(C), pages 632-642.
    9. Kelejian, Harry H & Prucha, Ingmar R, 1998. "A Generalized Spatial Two-Stage Least Squares Procedure for Estimating a Spatial Autoregressive Model with Autoregressive Disturbances," The Journal of Real Estate Finance and Economics, Springer, vol. 17(1), pages 99-121, July.
    10. Lee, Lung-fei & Yu, Jihai, 2010. "A Spatial Dynamic Panel Data Model With Both Time And Individual Fixed Effects," Econometric Theory, Cambridge University Press, vol. 26(2), pages 564-597, April.
    11. Matthias Busse & Steffen Gröning, 2013. "The resource curse revisited: governance and natural resources," Public Choice, Springer, vol. 154(1), pages 1-20, January.
    12. Bjorvatn, Kjetil & Farzanegan, Mohammad Reza, 2013. "Demographic Transition in Resource Rich Countries: A Blessing or a Curse?," World Development, Elsevier, vol. 45(C), pages 337-351.
    13. J. Paul Elhorst, 2003. "Specification and Estimation of Spatial Panel Data Models," International Regional Science Review, , vol. 26(3), pages 244-268, July.
    14. Lung-Fei Lee, 2004. "Asymptotic Distributions of Quasi-Maximum Likelihood Estimators for Spatial Autoregressive Models," Econometrica, Econometric Society, vol. 72(6), pages 1899-1925, November.
    15. Papyrakis, Elissaios & Gerlagh, Reyer, 2007. "Resource abundance and economic growth in the United States," European Economic Review, Elsevier, vol. 51(4), pages 1011-1039, May.
    16. Sachs, Jeffrey D. & Warner, Andrew M., 2001. "The curse of natural resources," European Economic Review, Elsevier, vol. 45(4-6), pages 827-838, May.
    Full references (including those not matched with items on IDEAS)

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    9. Ahmad, Fayyaz & Draz, Muhammad Umar & Chang, Wei-Yew & Yang, Su-Chang & Su, Lijuan, 2021. "More than the resource curse: Exploring the nexus of natural resource abundance and environmental quality in northwestern China," Resources Policy, Elsevier, vol. 70(C).

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