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Access to electricity continues to be a popular subject in empirical studies. However, the choice of key factors related to electricity access in the literature to date has been ad hoc due to the lack of a theoretical framework. This paper adopts a Bayesian Model Averaging (BMA) approach to selects important factors related to electricity access from 26 socio-economic indicators using a sample of 48 developing countries, and reveal their long-term relationship with electricity access. The BMA approach allows us to identify the optimal empirical model when a theoretical foundation is not available. Moreover, it allows us to address the relative importance of variables using posterior inclusion probabilities, and thus has clear policy relevance. Our results show that access to finance, education, economic development, infrastructure, and industrialisation are positively related to electricity access in the long-run. Although the long-run relationship does not indicate causality, it shows that to maintain this relationship, policy adjustments against any deviations from the relationship are needed. Our study suggests that electrification needs not only economic, educational and infrastructural development, but also private sector participation, governments' commitment and political will, and integration with poverty reduction and other development schemes.

This article presents a welfare analysis of the vehicle quota system of Shanghai, China. The empirical findings suggest that the quota system leads to both welfare loss as a result of reduction in vehicle transactions and welfare gain because of less externality of auto consumption. The net effect depends on the shadow price of the marginal externality, the assumption of vehicle lifetime, and market conditions such as consumers' intrinsic preference for vehicles. Compared to a progressive tax system, the quota system is less effective in vehicle control but more efficient in improving social welfare.

This paper explores the effects of consumption-tax and fuel-tax adjustments in the Chinese automobile industry. Applying the model and simulation method of Berry, Levinson, and Pakes (1995), we conduct a comparative static analysis of equilibrium prices and sales, fuel consumption, and social welfare before and after tax adjustments. For the first time, we compare the progressivity of both taxes. Our empirical findings suggest that the fuel tax is effective in decreasing fuel consumption at the expense of social welfare, while the consumption tax does not significantly affect either fuel consumption or social welfare.

The Chinese passenger-vehicle industry contains a large number of manufacturers. Some of them are members of big corporate groups centered around state owned enterprises. These corporate relationships may facilitate collusion. This paper applies the non-nested hypothesis test methodology to data on passenger vehicles to identify whether price collusion exists within corporate groups or across groups. Our empirical results support the assumption of Bertrand Nash competition in the Chinese passenger-vehicle industry: We find no evidence for within or cross-group price collusion. Our policy experiments show that indigenous brands will gain market shares and profits if withingroup companies merge. *We thank the Editor and referees for their useful suggestions. Also, we thank