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The rapid growth in urban population has led to a dramatic increase in municipal solid waste (MSW) generation, with ramifications more pronounced in developing countries. The regional Chinese governments have made great efforts to reduce MSW generation and collection quantities. However, the results of these efforts vary across cities. The purpose of this paper is to analyze the regional differences in MSW collection quantities. A two-level hierarchical linear model (HLM) was used to examine the variations in MSW collection quantities among 287 prefecture-level cites in China over the period from 2008 to 2017. The analysis reveals a strong negative correlation between the regional economic development level and the growth trend of MSW collection quantities. The empirical findings indicate that the level of economic development and waste collection measures are critical determinants of MSW collection quantities.

With the rapid development of economy and urbanization, municipal solid waste (MSW) generation has also increased dramatically. MSW poses great threat to the ecological environment and the survival of humankind, and forms a bottleneck restricting the healthy and sustainable development of an economy. Research on the influence factors of MSW could provide useful information for formulation of pollution control policies. This article develops a multiple regression model to assess the impact of these influencing factors. We find that MSW generations are strongly and positively related to urban population, GDP, the quantity of solid waste transport vehicles, collection area of solid waste, and the per capita disposable income of urban residents. However, we find that MSW generations have strong and negative correlations with the inflation rate and the solid waste treatment rate. Finally, based on the empirical findings, we put forward policy recommendations to help government agencies to design measures that can effectively address the increasing trend of waste generation. © 2016 American Institute of Chemical Engineers Environ Prog, 35: 1629–1633, 2016

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