Green credit is regarded as an important means to promote sustainable growth. Based on the provincial panel dataset of China from 2007 to 2017, this paper investigates the dual impacts of green credit on the economy and environment, and it establishes mediating effect models to analyze the Porter hypothesis. The results show that the green credit policy significantly improves economic performance and reduces pollutant emissions. The above results are robust to employing methods with alternative variables and instrumental variables. Second, the green credit policy contributes to innovation; that is, the green credit increases the innovation scale and improves innovation efficiency. The results of mediating effect models suggest that the Porter effect of green credit can be achieved by improving innovation efficiency. The findings of the current study indicate that the green credit policy helps achieve the win–win situation for economic goals and environmental targets.
11 March 2022 in Environmental Science and Pollution Research
Waste source separation is the fundamental premise to ensure effective waste recycling. Whether the entire waste recycling and reduction process can be effectively carried out depends on the waste source separation. Clarifying the driving mechanism of waste separation behavior plays an important role in effectively guiding the urban residents’ waste separation behavior and achieving waste recycling. In this study, qualitative analysis was used to explore the driving mechanism of waste separation behavior. Through the open coding, axial coding and selective coding of the in-depth interview data collected from 323 Chinese urban residents, the study has proposed and verified the four-dimensional structure of waste separation behavior, namely, waste separation behavior of habit, decision, relationship, and citizen. The main driving factors of urban residents’ waste separation behavior have been clarified. On this basis, a theoretical model for the driving mechanism of waste separation behavior was constructed in this study. Ten main categories of factors have been presented, namely, value orientation, cognition of separation, regulatory focus, preferences for comfort, perception of separation empowerment, policy and standards, products and facilities, group norms, links trustworthiness, and social demography variables. Moreover, four typical relationship structures were proposed. Finally, the intervention policy suggestions were made to effectively guide the urban residents’ waste separation behavior.
Climate change communication is a crucial strategy for addressing the major challenges of climate change, and the knowledge mapping analysis and overview of it helps to clarify research progress. Based on CiteSpace, 428 pieces of domestic and foreign literature are collected to clarify the basic status of climate change communication research and summarize research hotspots and prospects. The study found that: (1) The earliest traceable English literature on climate change communication appeared in 2000. The number of articles published has risen steadily since 2008, reaching its first peak in 2015. (2) In contrast, research into Chinese climate change communication began late and progressed slowly. The Chinese literature on climate change communication first appeared in 2009. Although domestic research generally continues to pay attention to this phenomenon, there is still room for development compared with international research. (3) The research hotspots for climate change communication are obtained through keyword co-occurrence analysis. Public perceptions of climate change are strongly influenced by political ideology. Since climate change has political attributes, people from different political parties or groups form their views on climate change through identity protection. (4) The research content on climate change communication can be summarized into the following six aspects: the development of climate change communication research; differences in public perceptions of climate change; factors influencing climate change communication; key elements of the climate change communication process; the important role of the media in climate change communication; and effective strategies for climate change communication. Finally, the shortcomings of this study are summarized and future research prospects on climate change communication are put forward from the perspectives of research methods, research contexts, and research paradigms.
29 July 2023 in Journal of Environmental Management
High-quality economic development and the realization of ecological civilization have become the main goals of China’s economic development. This study constructed a global reference Malmquist–Luenberger productivity index model of directional distance function from the perspective of mixed disposability and divided water resources green efficiency into pure technical efficiency change (PEC) index, scale efficiency change (SEC) index, pure technology change (PTC) index and scale technology change (STC) index. The results show the following: (1) The value of China’s water resources green efficiency increased by 1.1% from 2000 to 2016. The central region improved the most (1.4%), followed by the western (1%) and eastern (0.9%) regions. The water resources green efficiency improved in all provinces except Guangxi and Yunnan. (2) The water resources green efficiency is significantly affected by national policies, and there may not be a significant positive correlation with economic development. At present, the water resources green efficiency in most provinces still needs to be improved. (3) From 2000 to 2016, China’s water resources green efficiency decomposition index showed an upward trend except for SEC, and PTC was the main driving force for improving China’s water resources green efficiency. (4) The variation of PEC among provinces showed an inverted “N” trend, while the differences of SEC and STC showed an ascending trend, and PTC showed an inverted “U” trend. The proportions of provinces in which PEC, SEC, and STC indices improved were 40%, 46.67%, and 60%, respectively.