On the convergence in China's provincial per capita energy consumption: New evidence from a spatial econometric analysis
Yu Hao and
Energy Economics, 2017, vol. 68, issue C, 31-43
The rapid increase in per capita energy consumption is likely to be an important factor affecting the sustainable development of China's economy. In this study, the convergence of per capita energy consumption, which is an important inherent characteristic of China's energy consumption, is investigated using panel data for the period 1994–2014 for 30 Chinese provinces. To control for the potential spatial dependence in energy consumption per capita and introduce dynamics, appropriate spatial dynamic econometric models are employed. The empirical results indicate that there are both absolute and conditional β-convergences in per capita energy consumption across provinces. In addition, there is also evidence for an inverted U-shaped relationship between per capita energy consumption and per capita GDP. Therefore, per capita energy consumption would increase when economic development is relatively low. However, per capita energy consumption may decrease after a threshold level of economic development is reached. Among the factors that potential influence provincial energy consumption, the ratio of secondary industry value-added to GDP and the spatial correlation of energy consumptions in neighboring provinces are positively related to energy consumption per capita, while population density and per capita foreign direct investment do not affect energy consumption per capita significantly.
Keywords: Energy consumption; Convergence; Panel data; Spatial econometric model; China (search for similar items in EconPapers)
JEL-codes: C23 O47 O53 P18 P28 Q43 (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations View citations in EconPapers (1) Track citations by RSS feed
Downloads: (external link)
Full text for ScienceDirect subscribers only
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:eee:eneeco:v:68:y:2017:i:c:p:31-43
Access Statistics for this article
Energy Economics is currently edited by R. S. J. Tol, Beng Ang, Lance Bachmeier, Perry Sadorsky, Ugur Soytas and J. P. Weyant
More articles in Energy Economics from Elsevier
Bibliographic data for series maintained by Dana Niculescu ().