Browsing by Author "Xu, Jintao"

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    China's Paper Industry: Growth and Environmental Policy during Economic Reform
    Xu, Jintao (Virginia Tech, 1999-07-07)
    This dissertation examines the performance of China's pulp and paper industry under environmental regulations, and reflects on the implementation of the regulations, and especially on market-based instruments. The dissertation includes two empirical chapters: one uses a frontier production function model to examine the impact of China's environmental policy on paper mills' environmental as well as efficiency performance; the other derives shadow prices for pollutants for the same group of mills, based on a distance function model, to examine the efficiency performance of current pollution control policy and the degree of regional variation in the policy enforcement. The basic conclusion from the first empirical chapter is that the economic instrument-pollution levy system-can be an effective tool in inducing polluting mills to abate their pollution, and there is no strong evidence that the instrument adversely affected the mills' efficiency performance. The reason that the pollution problem is not lessening over time can be largely attributed to allocative inefficiency and regional disparity in policy enforcement, as is demonstrated by the second empirical chapter. These results should point future policy in the direction of better enforcement and/or the trial of a tradable permit system.
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    The Social Cost of Fiscal Federalism and the Depletion of China’s Native Forests
    Wang, Haoyu (Virginia Tech, 2021-05-06)
    China's key forested region is located in the northeast. This region consists of state forest enterprises which manage harvesting and reforestation and have represented the most important source of wood supplies since the 1950s. Deforestation is a major problem there, however, and has resulted in several central government reforms. We develop a framework for assessing the social cost of state forest enterprise deforestation. We first develop a two-principal, one-agent model that fits the federalistic organization state forests, in that state forest managers make (potentially hidden) decisions under influence of provincial and central government policies and quotas meant to direct manager behavior. This model is used to derive an expression of the social cost of these hidden actions as well as a comparison of first and second best government policies. We then use panel data from a survey conducted by the Environmental Economics Program in China (EEPC) to compute social welfare losses and use a regression approach to confirm the main factors in these costs in practice. A sensitivity analysis shows that lower harvesting limits and a more accurate monitoring system are the keys to lowering social welfare loss. These are more important than conventional instruments used by the governments such as wages for managers that achieve certain targets. Through regression analysis we find that the remote areas with a higher percentage of mature natural forests are the ones that will always have the highest social welfare loss. These areas are the hardest to monitor, but our results show they must be a critical focus moving forward.