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Abstract In this study, we investigate the driving forces behind the changes in residential energy consumption (REC) in China’s urban and rural areas over the 2001–2012 period. Based on the logarithmic mean Divisia index method, the REC changes are decomposed into seven driving forces, which are climate change, energy price, energy expenditure mix, energy cost share (in total expenditure), expenditure share (in income), per capita income and population effects. According to the results, climate effect due to increasing days with abnormal temperature, energy cost share effect characterized by more expenditure to be paid for energy use, income effect describing constant income growth in the residential sector definitely increase REC in both urban and rural areas. In contrast, energy prices and energy expenditure mix effects negatively contribute to the REC increase, respectively because of the increase in energy prices and the transition from the low-priced energy to high-priced energy. Expenditure share and population effects play opposite roles in urban and rural areas, and the reasons and implications are analysed in depth.

China contributes 23 % of global carbon emissions, of which 26 % originate from the household sector. Due to vast variations in both climatic conditions and the affordability and accessibility of fuels, household carbon emissions (HCEs) differ significantly across China. This study compares HCEs (per person) from urban and rural regions in northern China with their counterparts in southern China. Annual macroeconomic data for the study period 2005 to 2012 were obtained from Chinese government sources, whereas the direct HCEs for different types of fossil fuels were obtained using the IPCC reference approach, and indirect HCEs were calculated by input-output analysis. Results suggest that HCEs from urban areas are higher than those from rural areas. Regardless of the regions, there is a similarity in per person HCEs in urban areas, but the rural areas of northern China had significantly higher HCEs than those from southern China. The reasons for the similarity between urban areas and differences between rural areas and the percentage share of direct and indirect HCEs from different sources are discussed. Similarly, the reasons and solutions to why decarbonising policies are working in urban areas but not in rural areas are discussed.

The rapid development of traditional agriculture in China was achieved at the expense of high energy consumption and investments. However, the global green development trend made it necessary for the country to transform its agricultural energy utilization. Energy efficiency changes are affected by many factors, particularly industrial agglomeration. In recent years, the Chinese government has introduced a series of policies, including setting major producing regions for grains and advantageous regions for characteristic agricultural product. These have caused significant changes to the spatial layout of the agriculture industry. However, there is still a lack of research on the impact of these changes on agricultural energy efficiency (AEE). In this study, panel data of 30 Chinese provinces from 2000 to 2016 were entered into stochastic frontier models to measure the country's AEE at the provincial level. A series of spatial econometric models were also used to analyze the impact of agricultural industrial agglomeration on China's AEE. The results indicated that the country's AEE exhibited obvious spatial gradients and correlations. After controlling the impacts of spatial correlation and other factors in the models, agricultural industrial agglomeration was found to have an overall positive impact on China's AEE. In the future, policies should be formulated to increase AEE by establishing agricultural functional areas, strengthening the innovation and sharing of green development technologies at the farm level, and promoting the optimization of energy structures in agricultural and rural areas.

Do communities struck by disaster build back better, or not? Recent small and medium N studies have shown mixed effects. This mixed methods study tests the effect of disasters on the adoption of solar power, as a key form of building back better and adapting to climate change. To text this effect, we apply a large-N longitudinal matching experiment on cities affected and unaffected by disaster paired with qualitative case studies, focusing on the 2011 triple disaster in Japan and Hurricane Sandy in 2012 in the US. We find that disaster hit cities can and do adopt more solar farms and rooftop solar than cities unaffected by crisis, and that the community resources of these disaster hit communities shapes their adoption patterns. By clarifying the effects of disasters on the build-back-better phenomenon in comparative cases, this study aims to guide recovery priorities after large scale shocks. All data will be released for replication upon publication.

Many studies have examined the impact of climatic variability on agricultural productivity, although an understanding of these effects on farmland values and their relationship to farmers’ decisions to adapt and modify their land-use practices remains nascent in developing nations. We estimated the impacts of the deviation in our study year's (2012) temperature and precipitation patterns from medium-term (1980–2011) climatic patterns on farmland values in Pakistan. This was accomplished by employing a modified form of a Ricardian regression model. We also examined farmers’ perceptions of climate change during this period, as well as their perceptions of climate change impacts on farm productivity, in addition to past and anticipated farm adaptation strategies. Our results indicate that positive temperature deviation from the medium-term mean – indicative of climatic change – affects farmland values in Pakistan. Deviation in annual cumulative precipitation conversely appears to have no significant impact. Estimates of the marginal impact of temperature deviation suggested a slight but negative linear relationship with farmland values. The location of farms in areas where farmers can avail financial or extension services conversely had a positive impact on farmland values, as did the availability of irrigation facilities. Our analysis of farmers’ perceptions of climate change and their consequent adaptation behavior indicated a relatively high degree of awareness of climatic variability that influenced a number of proactive and future anticipated farm adaptation strategies. Examples included increased use of irrigation and farm enterprise diversification, as well as land-use change, including shifting from agriculture into alternative land uses. National policy in Pakistan underscores the importance of maintaining a productive rural agricultural sector. Our findings consequently highlight the importance of appropriate adaptation strategies to maintain both farm productivity and farmland values in much of Pakistan. The implications of increased extension and financial services to enhance farmers’ potential for climate change adaptation are discussed.

When cities agree to build divisive facilities in communities to provide key public goods, do those policy decisions convey unexpected effects on the civic culture of their communities? While planners, residents, and activists have suggested this for years, the literature has not rigorously tested this hypothesis. This mixed methods study introduces a new 37-year panel dataset of indicators of civic culture including voter turnout, crime rates, total migration, and the number of community centers across all 1741 Japanese municipalities. This study uses matching experiments and case studies of 2 nuclear power plant host communities to test whether the policy decision to build nuclear power plants in towns altered their civic culture over time. The result shows that the choice to build a divisive facility nuclear power plants unexpectedly alters the trajectory of a towns' social capital, relative to what they would have experienced otherwise. The findings provide a roadmap for policymakers to plan for and anticipate changes in the social capital of their communities, and demonstrate how policy scholars can further contribute to decisions on which carbon neutral power sources governments should invest in.

A nation's consumption of goods and services causes various environmental pressures all over the world due to international trade. We use a multiregional input-output model to assess three kinds of environmental footprints for the member states of the European Union. Footprints are indicators that take the consumer responsibility approach to account for the total direct and indirect effects of a product or consumption activity. We quantify the total environmental pressures (greenhouse gas emissions: carbon footprint; appropriation of biologically productive land and water area: land footprint; and freshwater consumption: water footprint) caused by consumption in the EU. We find that the consumption activities by an average EU citizen in 2004 led to 13.3 tCO(2)e of induced greenhouse gas emissions, appropriation of 2.53 gha (hectares of land with global-average biological productivity), and consumption of 179 m(3) of blue water (ground and surface water). By comparison, the global averages were 5.7 tCO(2)e, 1.23 gha, and 163 m(3) blue water, respectively. Overall, the EU displaced all three types of environmental pressures to the rest of the world, through imports of products with embodied pressures. Looking at intra-EU displacements only, the UK was the most important displacer overall, while the largest net exporters of embodied environmental pressures were Poland (greenhouse gases), France (land), and Spain (freshwater).

Abstract An important topic in climate change discourse is the question of “climate refugees” and climate-related mobility, which is often presented as failed adaptation. This discourse feeds into, and reinvigorates, anti-mobility sentiments, especially concerning youth, among nongovernmental and governmental organizations that conceptualize mobility as involuntary and associated with social rupture. Challenging this understanding, we argue that mobility can be an important strategy for mobilizing resources through social relations, what we call “social weaving.” Analyzing young northern Ghanaian artisans’ narratives of mobility, related in the aftermath of flooding attributed to climate change, we show, firstly, that mobility among young people is commonplace and that the decision to either stay or move is typically an active choice associated with the artisans’ fabric of relations. Secondly, we demonstrate how the development field can be seen to be largely based on, as well as generating, social relations. Indeed, while there has been a tendency towards anti-mobility sentiments among development organizations, NGOs themselves often become woven into the local artisans’ fabric of relations and strategies for mobility. We thus illustrate how the global field of development and its local manifestations can be presented as a form of social weaving consisting of practiced and imagined relations between, and among, global and local actors in development, thereby moving away from a structure-oriented focus within development research.

AbstractUnder the growing threats of climate change, innovation and pollution reduction have become driving forces for cleaner economic growth and the environment. This study endeavors to analyze the effect of economic complexity—understood as structural transformation toward more sophisticated and knowledge‐based production, economic progress, renewable energy consumption, and population growth over carbon emissions. Our study employs panel data for a sample of 28 OECD countries covering the period of 1990–2014. The main contribution to the energy economics literature is given by bringing together the concept of environmental degradation and economic complexity controlling via renewable energy consumption and economic and population growth. Based on the extensive empirical analysis (augmented mean group estimator, panel cointegration, and panel regression techniques), we conclude that economic complexity and renewable energy might help in mitigating the environmental degradation problems in OECD countries.