In this paper we analyse real convergence in GDP per worker in the EU member states.The aim is to test whether there is evidence of club convergence in the EU, i.e. divergence in GDP per worker. Evidence in favour of cluster or club convergence may be an indication of significant productivity divergences between countries, which may also explain the current turmoil in the euro zone. The results show evidence of different economic growth rates within Europe, which also converge to different steady states, implying divergence in the EU 14. Within the EU 14 member states we observe two convergence clubs, which are not related to the fact that some countries belong to the euro area. Furthermore, Eastern European countries are also divided in two clubs, with a more direct effect of belonging to the euro zone in the composition of the clubs.
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.
There is abundant empirical literature that focuses on whether energy consumption is a critical driver of economic growth. The evolution of this literature has largely consisted of attempts to solve the problems and answer the criticisms arising from earlier studies. One of the most common criticisms is that previous work concentrates on the bivariate relationship, energy consumption-economic growth. Many authors try to overcome this critique using control variables.However, the choice of these variables has been ad hoc, made according to the subjective economic rationale of the authors. Our contribution to this literature is to apply a robust probabilistic model to select the explanatory variables from a large set of potential candidates in the case of the US from 1949 to 2010, not only for an aggregate analysis but also for a sector analysis. The results highlight the critical role of public spending and energy intensity in the explanation of growth. Furthermore, since the study reveals different explanatory variables for each sector, it indicates the importance of policy decisions specifically aimed
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