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Resource drag in an endogenous growth context: a panel data-based estimation with cross-sectional dependences and structural breaks

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  • Yaobin Liu

Abstract

The article develops a resource drag model based on the endogenous growth theory, and provides fresh empirical evidence to estimate the drags for China by using the recently developed panel model with both cross-sectional dependences and structural breaks. The results indicate that there exists a long-run equilibrium relationship between GDP and its inputs, and both the land and water resources have significantly positive impacts on GDP except from some provinces after allowing for cross-sectional heterogeneities and structure breaks. In addition, the study employs the common correlated effects estimators to investigate the resource drags at both the pooled and individual levels. The result shows that the aggregate drag reduces annual growth rate by about 0.016 percentage points in China as a whole while there exist significant differences in both these disaggregate and aggregate drags for the province-groups, suggesting there is a fair amount of geographic clustering for them.

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  • Yaobin Liu, 2014. "Resource drag in an endogenous growth context: a panel data-based estimation with cross-sectional dependences and structural breaks," Applied Economics, Taylor & Francis Journals, vol. 46(14), pages 1586-1598, May.
    • Handle: RePEc:taf:applec:v:46:y:2014:i:14:p:1586-1598
    DOI: 10.1080/00036846.2013.879283
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    Cited by:

    1. Madhu Sehrawat & Sanjay Kumar Singh, 2021. "Do Corruption and Income Inequality Play Spoilsport in The Energy Efficiency-Growth Relationship in BRICS Countries?," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(4), pages 727-746, December.
    2. Mengzhen Zhao & Zhenhua Chen & Hailing Zhang & Junbo Xue, 2018. "Impact Assessment of Growth Drag and Its Contribution Factors: Evidence from China’s Agricultural Economy," Sustainability, MDPI, vol. 10(9), pages 1-15, September.
    3. Caijing Zhao & Yuming Wu & Xinyue Ye & Baijun Wu & Sonali Kudva, 2019. "The direct and indirect drag effects of land and energy on urban economic growth in the Yangtze River Delta, China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 21(6), pages 2945-2962, December.

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