The main objective of this paper is to investigate whether openness and investment ownership are key factors in explaining the diffusion of energy-saving technologies in China. Compared with previous studies, the novel aspect of this work is the use of a rich dataset at provincial level, which allows the high level of regional heterogeneity to be taken into consideration. The unbalanced regional growth has been translated into differences in the need for energy resources across the vast territory of China. A detailed analysis of these issues may provide new insights into the energy situation in this country. The analysis is also disaggregated by type of energy: coal, electricity and petroleum. We estimate the models by panel-corrected standard errors, developed by Beck and Katz (1995), over the period . Results obtained confirm the hypothesis that both foreign and non-state investments play a leading role in the decline of energy intensity across Chinese regions, whereas there is no evidence of a positive contribution of state investment. The findings also reveal differences in energy intensity across regions, thus confirming the importance of accounting for the regional dimension when analyzing energy consumption in China.
A new panel method is applied to the case of Chinese provinces to analyze the existence of club convergence in terms of per capita income, labor productivity, capital intensity, and total factor productivity from 1952 to 2008. The advantage of this approach is that it takes into account the heterogeneity of Chinese regions in a nonlinear time-varying framework, where more attention is paid to the spatial dimension. This time-varying approach outperforms other methods used in the relevant literature for an economy in transition, such as China, that has undergone a significant transformation over the period under consideration. Our results indicate that Chinese regions have converged into clubs. However, it is observed that Heilongjiang is diverging in terms of labor productivity and capital intensity, while Liaoning and Guizhou display similar patterns in terms of labor productivity, and Shanxi and Hebei in terms of capital intensity. These results indicate that specific economic packages need to be implemented in the clusters that were identified, with special attention to those regions that show a divergence behavior, in order to guarantee the sustainability and equality of regional growth.
Universitat Jaume I Department of Economics
AbstractA new panel method is applied to the case of Chinese provinces to analyze the existence of club convergence in terms of per capita income, labor productivity, capital intensity, and total factor productivity from 1952 to 2008. The advantage of this approach is that it takes into account the heterogeneity of Chinese regions in a nonlinear time-varying framework, where more attention is paid to the spatial dimension. This time-varying approach outperforms other methods used in the relevant literature for an economy in transition, such as China, that has undergone a significant transformation over the period under consideration. Our results indicate that Chinese regions have converged into clubs. However, it is observed that Heilongjiang is diverging in terms of labor productivity and capital intensity, while Liaoning and Guizhou display similar patterns in terms of labor productivity, and Shanxi and Hebei in terms of capital intensity. These results indicate that specific economic packages need to be implemented in the clusters that were identified, with special attention to those regions that show a divergence behavior, in order to guarantee the sustainability and equality of regional growth.
Registro de acceso restringido Este recurso no está disponible en acceso abierto por política de la editorial. No obstante, se puede acceder al texto completo desde la Universitat Jaume I o si el usuario cuenta con suscripción. Registre d'accés restringit Aquest recurs no està disponible en accés obert per política de l'editorial. No obstant això, es pot accedir al text complet des de la Universitat Jaume I o si l'usuari compta amb subscripció. Restricted access item This item isn't open access because of publisher's policy. The full--text version is only available from Jaume I University or if the user has a running suscription to the publisher's contents.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.