Environmental Research Communications最新文献

{"title":"The influence of tourist values on environmental responsibility behavior ——A multi-case study from Guilin","authors":"Huiling Zhou, Kaixuan Tang, Longfang Huang, Yajun Jiang, Ke Wu","doi":"10.1088/2515-7620/ad64b4","DOIUrl":"https://doi.org/10.1088/2515-7620/ad64b4","url":null,"abstract":"\u0000 Cultivating tourists' environmental responsibility behavior is an effective way to relieve the pressure of ecological environment in tourist destinations. Based on value-belief-norm theory, this study constructs a relationship model of values, ecotourism attitude, social responsibility awareness and environmental responsibility behavior, and explores the mechanism of tourists' values' influence on environmental responsibility behavior. Taking three scenic spots (Mao'er Mountain, Yulong River and Xingping Ancient Town) in Guilin, a world-famous tourist destination in China, as a case study, the structural equation model is used to test the theoretical hypotheses of tourists' environmental responsibility behavior. The results of the study show that values have a significant positive impact on tourists' environmental responsibility behavior, while ecotourism attitude cannot directly affect tourists' environmental responsibility behavior, but values can indirectly affect tourists' environmental responsibility behavior through the chain intermediary of ecotourism attitude and social responsibility awareness. The conclusion of this study can effectively guide the environmental responsibility behavior of tourists and has far-reaching significance for the sustainable development of tourist destinations.","PeriodicalId":505267,"journal":{"name":"Environmental Research Communications","volume":" 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141830967","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Spatial spillover effects of the digital economy on the green total factor productivity of China’s manufacturing industry","authors":"Yipeng Huang, Zhiguo Chen, S. Yin","doi":"10.1088/2515-7620/ad53aa","DOIUrl":"https://doi.org/10.1088/2515-7620/ad53aa","url":null,"abstract":"\u0000 The rapid expansion of the digital economy has garnered significant attention because of its potential to drive high-quality advancement in traditional sectors, particularly manufacturing. This study examines the spatial dynamics and potential spatial disparities between the digital economy and green total factor productivity (GTFP) in China’s manufacturing sector. We utilize a novel set of indicators to assess the advancement of the digital economy during Chinese provinces and apply spatial econometric models to investigate its spatial influence on GTFP. The main research content and conclusions of this study are as follows. (1) By employing a novel index system to quantify the digital economy’s advancement level within the manufacturing sector across various provinces in China, and utilizing it as the primary explanatory variable, the index system demonstrates significant efficacy in empirical analysis and is both scientifically robust and methodologically sound. (2) Using the spatial Dubin model, this study analyzes the spatial effects of the digital economy on the GTFP of the manufacturing sector and finds that it has a dominant positive spatial spillover effect on the GTFP of the manufacturing industry nationwide. (3) The results show that the effects of digital economy advancement on GTFP in the manufacturing industry have a positive spatial spillover effect in the eastern and central area, whereas it is negative in the western area. This study extends the applicability of the new economic geography and imperfect competition theories to the digital economy era, thereby contributing to these academic fields. Moreover, it introduces a novel analytical framework for assessing the digital economy’s influence on manufacturing advancement. The findings provide valuable insights and policy recommendations for fostering the development of the digital economy advancement across diverse regions in China.","PeriodicalId":505267,"journal":{"name":"Environmental Research Communications","volume":"56 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141269436","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Perceived Need for Climate Information","authors":"Tenzin Tamang","doi":"10.1088/2515-7620/ad53a8","DOIUrl":"https://doi.org/10.1088/2515-7620/ad53a8","url":null,"abstract":"\u0000 Understanding that human activities primarily cause climate change is fundamental to driving behavioral change. However, a significant gap exists regarding its anthropogenic nature, with public understanding often lagging behind the scientific consensus. This underscores that previous efforts to bridge this gap have not been effective, highlighting that the reception of information is a complex process influenced by individual perspectives, biases, and preconceptions. Therefore, an individual’s information behavior is crucial in the interrelationship between climate science and the public. This study investigated the factors explaining individuals’ perceived information needs to form a firm opinion about climate change. It explored the roles of information gaps, climate anxiety, and environmental adversity in shaping these needs. The study’s analysis is based on the 2021 Climate Change Opinion Survey (N = 76,328) from Meta’s Data for Good Program. The survey was conducted on Facebook, inviting active users aged 18 and above to participate through their news feeds. It was administered across 31 countries. For the analysis, multinomial logistic regression was employed. The results showed that a high climate information gap and anxiety are positively associated with information needs. Environmental adversity is also positively correlated with climate information needs, but one’s awareness of climate change moderated the association.","PeriodicalId":505267,"journal":{"name":"Environmental Research Communications","volume":"11 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141271640","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of electric and clean-fuel vehicles on future PM2.5 and ozone pollution over Delhi","authors":"Caterina Mogno, T. Wallington, Paul I. Palmer, H. Hakkim, B. Sinha, Vinayak Sinha, Allison Steiner, Sumit Sharma","doi":"10.1088/2515-7620/ad507f","DOIUrl":"https://doi.org/10.1088/2515-7620/ad507f","url":null,"abstract":"\u0000 We investigate the impact of adoption of electric vehicles and cleaner fuels on future surface levels of PM2.5 and ozone over Delhi for two contrasting seasons, pre-monsoon and post-monsoon. We run the WRF-Chem atmospheric transport model at high resolution (4 km) with two transport emission scenarios for year 2030: 1) a scenario with electrification of two- and three-wheelers and light commercial vehicles, and 2) a scenario which also includes conversion of diesel vehicles to compressed natural gas (CNG). Compared to the baseline values in 2019, the scenario with both electrification and conversion of diesel vehicles to CNG has a greater reduction in PM2.5 concentrations (up to 5%) than the electrification of two- and three-wheelers and light commercial vehicles alone (within 1%), mainly due to the the greater reduction in primary emissions of PM2.5 and black carbon from diesel conversion to CNG. Vehicles electrification could result in an increase in the daily maximum 8-hours ozone concentrations, which are partially offset by additionally converting to CNG - by -1.9% and +2.4% during pre-monsoon and post-monsoon seasons. This reflects higher NOx emissions from the CNG vehicle scenario compared to electrification-alone scenario, which limits the increase of surface ozone in the VOC-limited chemical environment over Delhi. Our findings highlight the importance of a coordinated strategy for PM2.5 and ozone when considering traffic emission controls, and highlight that the transition to electric vehicles should be accompanied by the conversion of diesel vehicles to CNG to limit surface ozone increase and achieve greater reduction in PM2.5 concentrations over Delhi. However, the small changes in PM2.5 and in ozone compared to the baseline scenario highlight the importance of joint emissions reduction from other sectors to achieve substantial progress in PM2.5 and ozone air quality in Delhi.","PeriodicalId":505267,"journal":{"name":"Environmental Research Communications","volume":"82 21","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141101855","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Role of Morphology in Improving the Catalytic Performance of ZnCo2O4 for Soot Oxidation","authors":"Nithya Rajagopal, Vikram A L, Harshini Dasari, Nethaji S","doi":"10.1088/2515-7620/ad5080","DOIUrl":"https://doi.org/10.1088/2515-7620/ad5080","url":null,"abstract":"\u0000 The extent of interaction between carbon and catalyst profoundly shapes soot oxidation results. The catalyst configuration notably influences the frequency of contact points in solid-solid interactions. This investigation studies the impact of three distinct ZnCo22O4 catalyst morphologies and their redox property on soot oxidation. The formation of the cubic phase of ZnCo2O4via three distinct methods was revealed during XRD analysis. SEM analysis unveiled varying morphologies, including rod-shaped, rose petal-shaped, and bead-like structures. Notably, ZnCo2O4 exhibiting bead-like morphology demonstrated heightened levels of chemisorbed oxygen species which was observed during XPS analysis. The presence of Co2+ and Co3+ occupied at octahedral site ZnCo2O4 acted as the active sites for soot oxidation. With continuous redox property (Co 3+ → Co2+) leading to the generation of active oxygen species and with an added advantage of surface morphology, the M2 sample (with bead-like morphology) exhibited superior soot oxidation activity, which is evident by its T50% value of 402°C. This study underscores the essential role of catalyst morphology in influencing soot oxidation activity. Through a comprehensive array of structural, morphological, and catalytic analyses, this work sheds light on the correlation between catalyst architecture and enhanced soot oxidation performance.","PeriodicalId":505267,"journal":{"name":"Environmental Research Communications","volume":"3 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141100799","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Household water price and income elasticities under increasing-block pricing policy in China: An estimation using nationwide large-scale survey data","authors":"Junjun Jia, Qin Liang, Maorong Jiang, Huaqing Wu","doi":"10.1088/2515-7620/ad5082","DOIUrl":"https://doi.org/10.1088/2515-7620/ad5082","url":null,"abstract":"\u0000 Figuring out household water demand response is of importance to sustainable water pricing policy making and optimalization. The paper estimates price and income elasticities of residential water demand in China by using the unique dataset from Chinese Household Water Use Behavior Survey 2019 in 50 cities. Two instrumental variables of marginal water price and average water price are used to address the endogeneity in the context of increasing-block water pricing policy. Results show that price elasticity ranges from -0.170 to -0.543, meaning that the demand for water is inelastic. Income elasticity ranges from 0.062 to 0.133, indicating that water is a necessary commodity. It unveils that water scarcity cities have more sensitive price response. It verifies the effectiveness of the differential increasing-block water pricing schemes tailor-made to local water resources endowments. Besides, it shows that high water-consuming households have more sensitive price response. It suggests that implementing more stringent IBWP scheme for those households constitutes a promising policy improvement option in the future.","PeriodicalId":505267,"journal":{"name":"Environmental Research Communications","volume":"6 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141100855","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Research on Green Development Measurement and Regional Differences in the China's Yellow River Basin Based on the Ecological Function Orientation","authors":"Yubin Ma, Mingfang Dong, Shujun Yao, Haotian Chen, Xiaobing Hu, Liwen He, Zhengda Li","doi":"10.1088/2515-7620/ad4fe2","DOIUrl":"https://doi.org/10.1088/2515-7620/ad4fe2","url":null,"abstract":"\u0000 The ecological protection and high-quality development of the Yellow River Basin have become a national strategy. This study takes 57 cities in the Yellow River Basin as research samples, employs the green total factor productivity (GTFP) to characterizes the level of green development, introduces an improved mixed distance (MEBM) Windows model and an algorithm containing the background differences to measure the level of green development, and further uses the Dagum Gini coefficient to analyze the regional differences. It shows that the level of green development of Yellow River Basin exhibits a downward trend during the study period when the ecological function orientation (EFO) is not considered, however, the downward trend is significantly narrowed when the EFO is considered, and 91.23% of the sample rankings is changed. According to these results, the study samples are divided into three types: the controlled development zones, the moderate development zones, and the transition development zones. The inter-regional differences are the main factors that causes the regional differences in the green development of Yellow River Basin. Based on the results, we propose the relevant policy recommendations that can provide a decision-making basis for promoting the ecological protection and high-quality development in the Yellow River Basin according to the local conditions.","PeriodicalId":505267,"journal":{"name":"Environmental Research Communications","volume":"56 39","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141102999","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessment of Impacts of Flood and Coping Strategies among Rural Households in Gicumbi District, Rwanda","authors":"Ange Josiane Uwayisenga, I. Adelekan, N. Oguge","doi":"10.1088/2515-7620/ad4e10","DOIUrl":"https://doi.org/10.1088/2515-7620/ad4e10","url":null,"abstract":"\u0000 Floods have become recurrent events in Rwanda, causing diverse effects on rural households across the country. However, little is known about the effects of floods encountered by people and their coping strategies, which are crucial for reducing vulnerability. Gicumbi District is among the most exposed to climate hazards and is vulnerable to the impacts of climate change. The effects of floods on rural households in Gicumbi district and their coping strategies were examined. A mixed approach was adopted where quantitative data was collected to inform wider understanding of a population and qualitative ones to acquire deep contextual insights about individual’s lived experiences. A structured questionnaire was used to collect data from 399 heads of households stratified into six district sectors. The study employed descriptive and inferential statistics for data analysis. Common effects of flooding experienced by the respondents included crop destruction, house damage, lack of sufficient food and safe drinking water. The coping strategies adopted by the respondents included saving money and food, support from friends and families, selling assets, borrowing money to restore losses, and migrating to other communities. In addition, flood victims received support from local authorities and Non-Governmental Organizations (NGOs), including financial support, temporary shelters, and life support materials. Adaptation strategies adopted by households included drainage channels, plantation of trees, radical terraces and sandbags. The results showed that lack of flood risk knowledge and access to early warnings, inadequate housing, living in high-risk areas, and dependence on a single source of income were the main factors influencing the severity of flood effects. Early warnings (p<0.001) and flood risk awareness (p=0.009) significantly elicited positive coping mechanisms. Governments and relevant stakeholders should develop effective strategies and establish programs enabling timely access to early warning systems and increasing disaster risk awareness to reduce vulnerability for improved livelihoods and community resilience.","PeriodicalId":505267,"journal":{"name":"Environmental Research Communications","volume":"2 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141119474","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Measuring Human Perception of Residential Built Environment through Street View Image and Deep Learning","authors":"Yumeng Meng, Donglai Sun, Mei Lyu, Jianing Niu, Hiroatsu Fukuda","doi":"10.1088/2515-7620/ad4e0e","DOIUrl":"https://doi.org/10.1088/2515-7620/ad4e0e","url":null,"abstract":"\u0000 As an important part of the urban built environment, streets exploring the influence mechanism between the built environment and human perception. It is one of the issues in building healthy cities. In this study, the residential streets of Zhongshan Distict, Dalian were selected as the study site, including Mountain Low-rise Neighborhood, Old Mid-rise Neighborhood, and Modern High-rise Neighborhood. Meanwhile, spatial measurement and human perception perception evaluation of the street environment were based on Deep learning and street view image (SVI). The study used human perceptions as dependent variables, and physical features as the independent variables. Finally, two regression models of positive and negative perceptions were established to analyze the relationship between them. The results showed that in the three types of neighborhood, positive perception was mainly focused on Mountain Low-rise Neighborhood; Negative perception was mainly focused on Old Mid-rise Neighborhood. Greenness, Openness, Natural Landscape, Natural to artificial ratio of the horizontal interface, and Natural to artificial ratio of the vertical interface had a positive influence on positive perception. Pedestrian occurrence rate, Enclosure, and Vehicle Occurrence rate had a negative influence on negative emotive. Greenness was the physical feature that most affected human perception. This study provided a method for objectively evaluating the quality of the street built environment. It is important for promoting the quality of residential streets and public mental health.","PeriodicalId":505267,"journal":{"name":"Environmental Research Communications","volume":"51 17","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141122191","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessing the Interconnected Effects of Policy Interventions on Shrimp Farming Expansion and Mangrove Ecosystems Through System Dynamics","authors":"Hoang Ha Anh","doi":"10.1088/2515-7620/ad43c2","DOIUrl":"https://doi.org/10.1088/2515-7620/ad43c2","url":null,"abstract":"\u0000 Since the early 2000s, Ca Mau has experienced a rapid boom in shrimp farming, leading to the conversion of mangroves into shrimp ponds and impeding mangrove forest conservation. Despite its negative environmental impacts, shrimp aquaculture remains vital to Ca Mau's economy by providing employment opportunities and contributing to the province’s gross domestic product. This study constructed a system dynamic model to analyze the complex system of shrimp aquaculture and mangrove forests under two development scenarios: the Business-as-Usual (BAU) scenario and the Policy scenario. In the BAU scenario, shrimp aquaculture will continue to expand, resulting in the conversion of more mangroves into ponds and a decrease in Ca Mau’s mangrove forest to 70,349 (± 888.801) hectares in 2050. However, this expansion will bolster rural employment and the province's economy, generating 14,250 (± 0.336) billion VND (US$ 570 million) in 2050. Conversely, in the Policy scenario, stabilizing shrimp areas at 280,000 hectares as a policy target will regulate mangrove conversion, allowing mangroves to regenerate (77,016 (± 687.155) hectares in 2050) and enhancing carbon storage (65x10^6 (± 0.58x10^6) MgC in 2050). However, challenges arise in the Policy scenario concerning potential economic stagnation, conflicts with other development priorities, and rural job losses. Officials must consider more than just the area of shrimp ponds to achieve sustainable development. Effective land use strategies should be implemented to ensure equilibrium between shrimp aquaculture and mangroves. Diversifying economic activities and promoting alternative livelihoods can mitigate the dependence on shrimp farming and offset the effects of policy interventions.","PeriodicalId":505267,"journal":{"name":"Environmental Research Communications","volume":"23 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140658581","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}