The global increase in renewable energy initiatives has been followed by the need to include the social impact of any project as a core element. Significant challenges for renewable energy development include uncertainty in assessing social impacts at local scales, participation and social acceptance. Multi-criteria decision analysis (MCDA) approaches have been widely used in energy planning to address these challenges. This article reviews how social criteria and participation mechanisms have been incorporated into decision-making processes for renewable energy projects.

Based on the household level survey data, the paper makes a projection on China’s household consumption in 2049 with reasonable assumptions of disposable income, demographic structure, urbanization rate and total population in 2049. The results show that at annual income growth rates of 3%, 4% and 5%, China’s total household consumption in 2049 will be 71.0, 97.8 and 133.8 trillion CNY, respectively, 3.1~5.8 times of the total household consumption in 2015.

In urban areas around the world, increasing motorization and growing travel demand make the urban transportation sector an ever-greater contributor to local air pollution and greenhouse gas emissions. The situation is particularly acute in developing countries, where growing metropolitan regions suffer some of the world's highest levels of air pollution.

A growing interest has recently been placed on the potential of nature-based solutions to help mitigate climate change, reflecting the importance of natural ecosystems as sources and sinks for greenhouse gases. Forests are of the hot debate – that sequester and also emit carbon dioxide (CO2). In this paper, we estimate the forest carbon sequestration potential for China.

The significant environmental improvement in China has drawn much research attention in recent years. However, in exploring the factors that lead to pollution reduction, most literature has ignored the slowing economic growth under the ‘New Normal’ of China. This omission could lead to the overestimation of the pollution reduction effects of other factors. In this paper, we estimate the effect of the economic slowdown using a dynamic Computable General Equilibrium model, CHINAGEM. We find that the contribution of the economic slowdown to pollution reduction ranges from 10% to 30%.

In this paper we try to assess the quality of growth for provinces in China over the period of 1997–2015. To do so we calculate a set of Green total factor productivity (or GTFP) indexes by incorporating environmental performance variables at the provincial level. A nonparametric approach (Directional Distance Function a la Chung et al., 1997) is adopted in the estimation. Furthermore, we apply bootstrapping method to correct estimation bias and obtain statistical property of the estimated indexes.

An increasing earning gap between rural migrants and urban residents has recently aroused public concern about rising urban poverty asscociated with migration of rural people into Chinese cities. To address the issue, this paper explores the possibility of wage assimilation for rural migrants towards their urban counterparts and its determinants between 1999 and 2009, by applying an economic assimilation model to analyse a repeated cross‐sectional data for seven Chinese cites at the individual level.

There is an ongoing reform in coal taxation in China, from a quantity-based to a price-based approach. While the coal tax could play an important role in resource conservation and air pollution reduction, its distributional effect is not well studied. This paper investigates the distributional effect of China's coal taxes on households before and after the reform. We find that about 30 percent of rural households and six percent of urban households are directly affected by the coal taxes, and that the directly affected households tend to be poor.