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By using the 2017 National Household Travel Survey (NHTS) data, this study explores the status quo of ownership and usage of conventional vehicles (CVs) and alternative fuel vehicles (AFVs), i.e., Hybrid Electric Vehicles (HEVs), Plug-in Hybrid Electric Vehicles (PHEVs) and Battery Electric Vehicles (BEVs), in the United States. The young ages of HEVs (6.0 years), PHEVs (3.2 years) and BEVs (3.1 years) demonstrate the significance of the 2017 NHTS data. The results show that after two decades of development, AFVs only occupy about 5% of annual vehicle sales, and their share does not show big increases in recent years. Meanwhile, although HEVs still dominate the AFV market, the share of PHEVs & BEVs has risen to nearly 50% in 2017. In terms of ownership, income still seems to be a major factor influencing AFV adoption, with the median annual household incomes of CVs, HEVs, PHEVs and BEVs being $75,000, $100,000, $150,000 and $200,000, respectively. Besides, AFV households are more likely to live in urban areas, especially large metropolitan areas. Additionally, for AFVs, the proportions of old drivers are much smaller than CVs, indicating this age group might still have concerns regarding adopting AFVs. In terms of travel patterns, the mean and 85th percentile daily trip distances of PHEVs and HEVs are significantly larger than CVs, followed by BEVs. BEVs might still be able to replace CVs for meeting most travel demands after a single charge, considering most observed daily trip distances are fewer than 93.5 km for CVs. However, the observed max daily trip distances of AFVs are still much smaller than CVs, implying increasing the endurance to meet extremely long-distance travel demands is pivotal for encouraging consumers to adopt AFVs instead of CVs in the future.

Voluntary environmental management programs for firms have become an increasingly popular instrument of environmental policy. However, the literature’s conclusion on the effectiveness of suchprograms is ambiguous, and for the European region there is a lack of evidence based on a large control group. We seek to fill this gap with an evaluation of the Eco-Management and Audit Scheme (EMAS), introduced in 1995 by the European Union as a premium certification of continuous pro-environmental efforts above regulatory minimum standards. It is more demanding than other voluntary programsdue to annual public reports of the environmental performance and targets for improvements. We use official firm-level production census data on the German manufacturing sector, a major energy consumer and emitter in Europe. To account for the self-selection of firms, we combine the Coarsened Exact Matching approach with a Difference-in-Differences estimation. Our results do not suggest reductions of firms’ CO2 intensity and energy intensity neither before nor after certification. Moreover, program participants do not increase renewable energy consumption or investments into the protection of the environment and climate. Our results are robust to a variety of checks and call into question the effectiveness of the EMAS program concerning these particular outcome variables.

China’s agriculture is increasingly becoming more specialized. However, specialized production has disrupted traditional farming culture and may threaten sustainable mental health. This study takes Chinese farmers’ subjective happiness and agricultural production outsourcing as the research object, in an attempt to reveal the possible unhappy impacts of Chinese-style agricultural specialization represented by agricultural production outsourcing. First, we construct a theoretical framework of the relationship between agricultural production outsourcing and farmers’ subjective well-being. Secondly, based on more than 3800 household survey data collected by the Chinese Academy of Social Sciences in 2020, we use the classical econometrics and psychological analysis methods such as the Ordered Probit model and the instrumental variable estimation to conduct a rigorous impact assessment. The results show that for every doubling of agricultural outsourcing expenditure, the probability that farmers think they are very happy decreases by about 21%, and the probability that they think they are relatively happy decreases by about 9%. The groups affected by the negative psychological impact mainly include farmers growing rice and corn, farmers in hills and mountains, and farmers with small-scale operations. Further analysis shows that outsourcing risks, the weakening of farmers’ professional autonomy, and family split caused by agricultural outsourcing bring unhappiness, and the increase in income cannot offset the negative psychological effect of outsourcing. The findings of this study may bring inspiration to other countries with agricultural outsourcing markets and programs to improve the national subjective well-being.

With rapid progress in the corporate social responsibility (CSR) theories and the up-gradation of the global market information disclosure system, enterprises have increased their attention toward relevant stakeholders and social responsibility. CSR exerts a substantial impact on the sustainable development of enterprises and markets in the economic and social fields. On the one hand, the increasingly perfect supporting facilities promote the financial growth of the entire society. While on the other hand, the profit-seeking trend of capital is also on the rise. The incongruity between the rapid progress of enterprises and the lack of social responsibility limits the benign development of the market. This study discusses the antecedents of CSR from the variable combination perspective using the fuzzy-set qualitative comparative analysis. It also investigates which combination of characteristics has better CSR performance. After the configuration analysis, it is identified that four paths lead to high CSR performance. These include the market-developed type, political link type, financial performance type, and state-owned enterprise subsidy type, and the level of each type is explained in-depth. Finally, this study provides management inspiration for the government and enterprises to formulate a sound social responsibility strategy and improve CSR performance by optimizing the matching of CSR activities and business objectives.

In this paper we seek to understand the impact of expanded use of soybean oil biodiesel to address biofuel mandates on global vegetable oil markets, and in particular on the demand for palm oil. An open-economy equilibrium model is derived to investigate the market effects of biodiesel expansion on related energy and vegetable oil markets. The model is calibrated to represent the recent benchmark data in calendar year 2011. The simulation estimates suggest that the expanded use of soy oil for biodiesel in the US will have considerable impacts on world vegetable oils markets. The majority of the vegetable oil replacement is likely to occur through substitution of palm oil under a wide range of plausible elasticity values on the demand for vegetable oil and the demand substitution between soy oils and palm oils.

Community sociologists have examined community attachment through an almost exclusive focus on people’s social relations. Recent research efforts have noted the neglect of the physical place in traditional community sociological studies. Doing this has brought the physical environment into their discussions of community attachment. Despite this progress, we remain limited in our understanding of the physical environment’s contribution to peoples’ attachment to their communities and whether its effect on community attachment is applicable in the context of urban settings. In an effort to expand our knowledge of this topic, this study explored the contributions of the urban physical environment on community attachment. By selecting the Discovery Green Park as a typical form of physical environment in Houston, Texas, this study sought to investigate how people’s levels of community attachment could be predicted by: (1) peoples’ interactions with an urban park; (2) people’s emotional connections with such a park; and (3) peoples’ social interactions with others within the park. After conducting a series of block model regression analyses, we found that community attachment was not completely defined by social factors, but also depended upon peoples’ emotional connections with the local physical environment and the social interactions happening in those settings.

To improve the utilization rate of parking space resources and reduce the cost of installing and maintaining sensor recognition, this paper proposed an improved computer vision-based parking space status recognition method. The overall recognition accuracy was improved by graying the video, filtering smoothing noise reduction, image enhancement pre-processing, introducing texture feature extraction method based on LBP operator, improving the background difference method, and then, we used a perceptual hash algorithm to calculate the Hamming distance between the background image and the hash string of the current frame of the video, excluding the influence of light and pedestrian on recognition accuracy. Finally, a parking space status recognition system is developed relied on the Python environment, and parking spaces are recognized in three environmental states: with direct light, without direct light, and in rain and snow. The overall average accuracy of the experimental results was 97.2%, which verifies the accuracy of the model.

Willingness to pay (WTP) is a foundation of payment for environmental services (PES) and varies according to different stakeholders. Because of its high-quality environment, numerous inns have appeared around Erhai Lake, which has become the inn sector leader in China. Declining water quality of the lake contrasts sharply with the increasing number of inns, thus a policy that balances economic development and water protection is needed desperately. The Erhai Lake Resource Protection Fee (ELRPF) is a form of PES, constructed on the basis of the contingent value method (CVM) involving the relationship between perceived benefits, institutional trust, awareness, and supportive attitude. Using relevant data obtained from a survey questionnaire, SmartPls 3.0 software was used to analyze the factors influencing inn operators’ WTP. The results of the analysis of 307 questionnaires showed that institutional trust, PES cognition, and attitudes toward support significantly affected inn operators’ WTP, while perceived benefit did not. This result differs from results of research on other tourism stakeholders. The reasons for this difference might be the specific identity of operators, their cultural and place identity, ability and professional education, and complexities of the broker of ecosystem services.