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Abstract: This paper focuses on a detailed analysis of the current situation, characteristics and, most important of all, the decision-making process of sustainable consumption behaviors (SCB) of the rural residents in China. Data were gathered from surveys conducted in 35 different municipalities or counties, with a total of 1403 questionnaires randomly distributed in 50 villages among these 35 selected regions. Based on the descriptive analysis, we reveal the current situation of the rural residents' SCB and the affecting factors, including behavioral intention, environmental knowledge, perception of consequence, environmental responsibility, environmental value, perceived behavioral control, response efficacy, environmental sensitivity and also the contextual factors. The paper also uses the path analysis to clarify the decision-making process of SCB. The results show that behavioral intention plays the most important role in explaining the behaviors, while the explanatory power of the psychological variable is low in the explanation of the overall SCB and its sub-categories. Furthermore, implications for public policy and the directions of future researches are discussed. [Copyright &y& Elsevier]

Ensuring household access to affordable, reliable, sustainable and modern energy for all the people is one of the 17 United Nations Sustainable Development Goals (SDGs). China has achieved 100% electricity access, while the traditional solid fuels such as firewood are still widely used in its rural area. This paper, using a long-term and large micro dataset and multinomial logit model, investigates quantitatively the determinants of cooking fuel choice in rural China. The results show that in addition to the previous knowledge on household income, occupation is crucial to the cooking fuel transition. In average, if the head of household changes its occupation from farm to non-farm, the possibility of using firewood would reduce by around 14–21%. The impact of income is slightly small. A 10% increase in income may result in 0.5% of possibility of firewood use. These conclusions are robust after considering the possible energy ladders using ordered logit regressions (OLR) and generalized OLR. After controlling other factors such as income and occupation, we have not found concrete evidence on the influences of education and gender of the household head and household member numbers. To accelerate the fuel transition, in addition to increase the household income, the government should pay attention to create more non-farm work opportunities for the rural. • We use a large micro dataset covering 2 decades and 9 provinces in rural China. • We use a multinomial logit model to capture the choice on disorder fuels. • In addition to the income, occupation is crucial to the cooking fuel choice. • No evidence shows the influences of education and gender if other factors controlled. [ABSTRACT FROM AUTHOR]

Abstract In the late 1990s, China initiated the Conversion of Croplands to Forest Program (CCFP) and the Ecological Welfare Forest Program (EWFP) based on the Payments for Ecosystem Services (PES) principle. Positive socioeconomic outcomes of the programs are essential for the long-term success of eco-environment conservation. However, there is lack of understanding of their longer-term (over 10 years) impacts on rural livelihoods. In this paper, we examine income distribution and inequality of rural households under CCFP and EWFP in rural Anhui, China after 12 years of program implementation. Results show that CCFP-participating households have higher income inequality than non-participants, while the EWFP does not have a significant effect. Local off-farm work and out-migration with remittances are the two principal income sources and both add to inequality. A regression-based decomposition of inequality shows that the CCFP indirectly alters livelihoods by increasing out-migration with remittances, but it also adds to inequality from shifting livelihoods to non-agricultural activities. Meanwhile, EWFP payments positively affect agricultural incomes and contribute 16% to agricultural income inequality. Finally, human capital, natural capital and physical capital all play important roles in generating income and inequality, but the factors affecting inequality from agricultural and non-agricultural activities are different. Highlights • We examine rural household income distribution under two concurrent PES programs. • CCFP positively affects non-farm income via out-migration followed by remittances. • EWFP positively affects agricultural income and adds slightly to inequality. • Factors affecting agricultural and non-agricultural income distributions differ. [ABSTRACT FROM AUTHOR]

Based on household-level survey data collected from Qinghai Province of China, we estimated the greenhouse gas (GHG) and air pollutant emissions from spatial perspectives, including household energy consumption in pastoral, agropastoral, and agricultural zones. The findings suggest that the total annual GHG and pollutant emissions per capita in the area was 2296.32 kg per year. The highest amount of pollutants was emitted from the pastoral zones, followed by the agropastoral and agricultural zones. CO 2 is the primary GHG emitted by household energy consumption. Dung burning was the cause of the high PM 2.5 emissions in the pastoral areas, while the use of coal was the primary cause of GHG and pollutant emissions in the agropastoral and agricultural zones. • We used empirical data from rural households in Qinghai, China. • This paper indicates the reliance of local energy consumption on non-commercial energy. • We estimate greenhouse gas and pollutant emissions resulting from solid-fuel combustion. • We compare indoor pollutant emissions from pastoral, agropastoral, and agricultural zones spatially. • This paper provides policy recommendations for energy transition towards clean energy. Energy consumption in the household sector has become an important issue in China's energy consumption and an important unit of China's clean energy transformation. Currently, the potential air pollution, carbon emissions and health risks caused by energy consumption in many areas cannot be ignored, and refined and regionalized index-based research data necessary to support decision making are lacking. Based on household-level survey data collected from Qinghai Province, China, we estimated greenhouse gas (GHG) and air pollutant emissions from spatial perspectives, including household energy consumption in pastoral, agropastoral, and agricultural zones. The findings suggest that the total annual GHG and pollutant emissions per capita in the area was 2296.32 kg per year. The highest amount of pollutants was emitted from the pastoral zones, followed by the agropastoral and agricultural zones. CO 2 is the primary GHG emitted by household energy consumption. Dung burning was the cause of the high PM 2.5 emissions in the pastoral areas, while the use of coal was the primary cause of GHG and pollutant emissions in the agropastoral and agricultural zones. These findings highlight the need to integrate household energy policies with rural development to enable a complete transition towards cleaner fuels. [ABSTRACT FROM AUTHOR]

In the context of rural sustainability in the developing world, a dilemma facing government intervention is to recognise and properly use local (or indigenous, practical) knowledge. This paper sheds new light on government intervention by introducing a farmer innovation system (FIS), which is initiated by farmer innovator(s) with participation or support from government agencies and other stakeholders for technology improvement and diffusion. In relation to different understandings, attitudes and approaches to farmer innovation, we argue that different government intervention may lead to different project designs and results. The complexity of government intervention in farmer innovation can be seen from an empirical study of the development and diffusion of straw utilisation technology (SUT) in rural China. By analysing and comparing two cases - one successful and one failed - we reveal two types of government intervention, and features and conditions of project success. The major limitation is identified as leaving out other actors such as local business partners and non-government agencies. We suggest a balanced account between farmer innovator(s), government intervention and innovation platform in future research. [ABSTRACT FROM AUTHOR]

Residential energy consumption level, structure, and potentiality are crucial indices reflecting economic and social development. In rural China, energy poverty is still prevalent, and economic poverty is a critical factor that deteriorates energy poverty. This paper combines income- and asset-based measures of wealth to provide a more dynamic perspective on the effects of economic poverty on energy poverty. Results show that for the household which in an average asset or income level, when its assets and income increase by 10%, the probability of a household choosing clean fuels increases by 0.007 and 0.002, respectively. Rural household prefers gas than electricity when household income and assets increase. To solve the energy poverty problem in rural areas, governments need to take measures to improve the accumulation of wealth, raise the infrastructure level and increase the employment rate. [ABSTRACT FROM AUTHOR]

Unclean cooking fuel is widely used in the developing world, and it is the main indication of energy poverty in rural China. In this paper, we investigate the situation, transition, and determination of fuel choice in China's rural household cooking. Using the large scale micro-survey data of China Health and Retirement Longitudinal Study (CHARLS), we find that there is a big gap in using commercial cooking fuels between rural and urban households: 60% of the rural households adopt traditional biomass resource as their main fuel for cooking in 2011, while this figure is less than 5% in the urban. We also identify a significant spatial divide in fuel choice: in southeastern coastal areas, about 40% of the rural households prefer solid fuels, while this figure jumps to over 80% in northeastern areas. The longitudinal data also reveal a significant transition from traditional to modern fuels from 2008 to 2012. Moreover, the distance to the most commonly used farmer's market, education background, coal price and female labor participation are all influential in determining the households' choices. [ABSTRACT FROM AUTHOR]

In China, rural chemical SMEs are often believed to still largely operate below the sustainability radar. This paper investigates to what extent and how chemical SMEs are already experiencing pressure to improve their environmental performance, using an in-depth case study in Jasmine County, Hebei province. The results show that local residents had rather low trust in the environmental improvement promises made by the enterprises and the local government, and disagreed with the proposed improvement plans. Although the power of local residents to influence decision making remained limited, the chemical SMEs started to feel increasing pressures to clean up their business, from governments, local communities and civil society, and international value chain stakeholders. Notwithstanding these mounting pressures chemical SME's environmental behavior and performance has not changed radically for the better. The strong economic ties between local county governments and chemical SMEs continue to be a major barrier for stringent environmental regulation. [Copyright &y& Elsevier]

Abstract: Microcredit has gained worldwide acceptance in recent years as a flexible mechanism to expand individuals’ (especially the poor''s) access to financial services, which is considered as an efficient way to achieve poverty reduction and other social development. A large number of empirical studies have been done to examine the welfare effects of microcredit on the borrowers and such effects are well documented in many other countries such as Bangladesh. However, the impacts of microcredit on China rural households’ livelihood are not well documented. This paper attempts to empirically evaluate the impact of microcredit on household welfare outcomes such as income and consumption in rural China. The estimation is based on the difference-in-difference approach which is an increasingly popular method of tackling the selection bias issue in assessing the impacts of microcredit. The study uses a two-year panel dataset, including both primary and secondary data collected through a household survey in rural China. Our empirical results favour the wide belief in the literature that joining microcredit programme helps improve households’ welfare such as income and consumption. Despite the optimistic findings on how microcredit has changed the rural households’ living conditions, our results show that the vast majority of the programme participants are non-poor, which casts some doubts on the social potential (such as poverty reduction) of China''s microcredit programmes. [Copyright &y& Elsevier]