Pub Date : 2023-06-27DOI: 10.1108/ijccsm-11-2022-0137
Carla Sofia Ferreira Fernandes, João Loureiro, Fátima Alves
Purpose This paper aims to define a proposal of a theoretical–methodological framework aimed at supporting researchers in conducting studies on the topic of environmental mobility. Design/methodology/approach The complexity of environmental change and the frequent subsequent human mobility raises challenges in the research process. The variety of theoretical and methodological approaches that can be applied to each of the phenomena contributes to different layers of analysis when focusing on the decision-making process of migration due to environmental factors. Drawing from the theoretical and methodological frameworks used by scholars, this paper includes an analysis of how they are applied in empirical studies that focus on environmental change and mobility in the Middle East and North Africa (MENA) region. Findings Empirical studies in this field for the MENA region are focused on collecting and analyzing data but are not linking it with wider human mobility theoretical and methodological frameworks. The proposal included in this study privileges the use of a qualitative methodology, aimed at obtaining an overview of the individuals’ experience. Originality/value This study adds to existing overviews of empirical studies of environmentally induced mobility by analyzing in detail the dimensions used to frame the methodological and theoretical research approaches in the empirical studies used in different disciplines that study the environment and/or human mobility. The studies analyzed focus on the different countries in the MENA region, which has the highest level of forced migratory movements in the world while facing challenges in terms of environmental degradation.
{"title":"Research in environmentally induced human mobility: an analysis of methodological and theoretical dimensions","authors":"Carla Sofia Ferreira Fernandes, João Loureiro, Fátima Alves","doi":"10.1108/ijccsm-11-2022-0137","DOIUrl":"https://doi.org/10.1108/ijccsm-11-2022-0137","url":null,"abstract":"\u0000Purpose\u0000This paper aims to define a proposal of a theoretical–methodological framework aimed at supporting researchers in conducting studies on the topic of environmental mobility.\u0000\u0000\u0000Design/methodology/approach\u0000The complexity of environmental change and the frequent subsequent human mobility raises challenges in the research process. The variety of theoretical and methodological approaches that can be applied to each of the phenomena contributes to different layers of analysis when focusing on the decision-making process of migration due to environmental factors. Drawing from the theoretical and methodological frameworks used by scholars, this paper includes an analysis of how they are applied in empirical studies that focus on environmental change and mobility in the Middle East and North Africa (MENA) region.\u0000\u0000\u0000Findings\u0000Empirical studies in this field for the MENA region are focused on collecting and analyzing data but are not linking it with wider human mobility theoretical and methodological frameworks. The proposal included in this study privileges the use of a qualitative methodology, aimed at obtaining an overview of the individuals’ experience.\u0000\u0000\u0000Originality/value\u0000This study adds to existing overviews of empirical studies of environmentally induced mobility by analyzing in detail the dimensions used to frame the methodological and theoretical research approaches in the empirical studies used in different disciplines that study the environment and/or human mobility. The studies analyzed focus on the different countries in the MENA region, which has the highest level of forced migratory movements in the world while facing challenges in terms of environmental degradation.\u0000","PeriodicalId":46689,"journal":{"name":"International Journal of Climate Change Strategies and Management","volume":" ","pages":""},"PeriodicalIF":3.6,"publicationDate":"2023-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47543834","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-29DOI: 10.1108/ijccsm-10-2021-0118
J. L. Hsu, Pankaja Sharma
Purpose The increasing frequency and intensity of the extreme weather events could cause devastating consequences in tourism. Climate change–related extreme weather events and their relation to tourism is an emerging field for education and research. The purpose of this study is to categorize the impact of climate change on tourist destinations with regard to extreme weather-related risks in outdoor recreation and tourism. Managerial implications for policymakers and stakeholders are discussed. Design/methodology/approach To outline the risks from climate change associated with tourism, this study uses the Prisma analysis for identification, screening, checking for eligibility and finding relevant literature for further categorization. Findings Based on a thoroughly examination of relevant literature, risks and threats posed by climate change could be categorized into following four areas: reduced experiential value in outdoor winter recreation; reduced value in beach scenery and comfort; land degradation and reduced biodiversity; and reduced value in personal safety and comfort in tourism. It also focuses on the significance of using big data applications in catastrophic disaster management and risk reduction. Recommendations with technology and data analytics to continuously improve the disaster management process in tourism education are provided based on findings of this study. Originality/value Primary contributions of this study include the following: providing a summarized overview of the risks associated with climate change in terms of tourist experiential value for educational implications; and revealing the role of data analytics in disaster management in the context of tourism and climate change for tourism education.
{"title":"Disaster and risk management in outdoor recreation and tourism in the context of climate change","authors":"J. L. Hsu, Pankaja Sharma","doi":"10.1108/ijccsm-10-2021-0118","DOIUrl":"https://doi.org/10.1108/ijccsm-10-2021-0118","url":null,"abstract":"\u0000Purpose\u0000The increasing frequency and intensity of the extreme weather events could cause devastating consequences in tourism. Climate change–related extreme weather events and their relation to tourism is an emerging field for education and research. The purpose of this study is to categorize the impact of climate change on tourist destinations with regard to extreme weather-related risks in outdoor recreation and tourism. Managerial implications for policymakers and stakeholders are discussed.\u0000\u0000\u0000Design/methodology/approach\u0000To outline the risks from climate change associated with tourism, this study uses the Prisma analysis for identification, screening, checking for eligibility and finding relevant literature for further categorization.\u0000\u0000\u0000Findings\u0000Based on a thoroughly examination of relevant literature, risks and threats posed by climate change could be categorized into following four areas: reduced experiential value in outdoor winter recreation; reduced value in beach scenery and comfort; land degradation and reduced biodiversity; and reduced value in personal safety and comfort in tourism. It also focuses on the significance of using big data applications in catastrophic disaster management and risk reduction. Recommendations with technology and data analytics to continuously improve the disaster management process in tourism education are provided based on findings of this study.\u0000\u0000\u0000Originality/value\u0000Primary contributions of this study include the following: providing a summarized overview of the risks associated with climate change in terms of tourist experiential value for educational implications; and revealing the role of data analytics in disaster management in the context of tourism and climate change for tourism education.\u0000","PeriodicalId":46689,"journal":{"name":"International Journal of Climate Change Strategies and Management","volume":" ","pages":""},"PeriodicalIF":3.6,"publicationDate":"2023-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48129668","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-26DOI: 10.1108/ijccsm-12-2022-0155
Liyun Zeng, R. Li, Huiling Zeng, Lingxi Song
Purpose Global climate change speeds up ice melting and increases flooding incidents. China launched a sponge city policy as a holistic nature-based solution combined with urban planning and development to address flooding due to climate change. Using Weibo analytics, this paper aims to study public perceptions of sponge city. Design/methodology/approach This study collected 53,586 sponge city contents from Sina Weibo via Python. Various artificial intelligence tools, such as CX Data Science of Simply Sentiment, KH Coder and Tableau, were applied in the study. Findings 76.8% of public opinion on sponge city were positive, confirming its positive contribution to flooding management and city branding. 17 out of 31 pilot sponge cities recorded the largest number of sponge cities related posts. Other cities with more Weibo posts suffered from rainwater and flooding hazards, such as Xi'an and Zhengzhou. Originality/value To the best of the authors’ knowledge, this study is the first to explore the public perception of sponge city in Sina Weibo.
全球气候变化加速了冰融化，增加了洪水事件。中国推出了海绵城市政策，将其作为一种基于自然的整体解决方案，与城市规划和发展相结合，以应对气候变化引起的洪水。运用微博分析，研究公众对海绵城市的认知。设计/方法/方法本研究通过Python从新浪微博上收集了53586条海绵城市内容。运用CX Data Science of simple Sentiment、KH Coder、Tableau等多种人工智能工具进行研究，发现76.8%的公众舆论对海绵城市持肯定态度，证实了海绵城市对洪水治理和城市品牌建设的积极贡献。在31个试点海绵城市中，有17个海绵城市相关岗位数量最多。其他微博数量较多的城市也遭受了雨水和洪水的威胁，比如西安和郑州。原创性/价值据作者所知，本研究首次探讨了公众在新浪微博上对海绵城市的认知。
{"title":"Perception of sponge city for achieving circularity goal and hedge against climate change: a study on Weibo","authors":"Liyun Zeng, R. Li, Huiling Zeng, Lingxi Song","doi":"10.1108/ijccsm-12-2022-0155","DOIUrl":"https://doi.org/10.1108/ijccsm-12-2022-0155","url":null,"abstract":"\u0000Purpose\u0000Global climate change speeds up ice melting and increases flooding incidents. China launched a sponge city policy as a holistic nature-based solution combined with urban planning and development to address flooding due to climate change. Using Weibo analytics, this paper aims to study public perceptions of sponge city.\u0000\u0000\u0000Design/methodology/approach\u0000This study collected 53,586 sponge city contents from Sina Weibo via Python. Various artificial intelligence tools, such as CX Data Science of Simply Sentiment, KH Coder and Tableau, were applied in the study.\u0000\u0000\u0000Findings\u000076.8% of public opinion on sponge city were positive, confirming its positive contribution to flooding management and city branding. 17 out of 31 pilot sponge cities recorded the largest number of sponge cities related posts. Other cities with more Weibo posts suffered from rainwater and flooding hazards, such as Xi'an and Zhengzhou.\u0000\u0000\u0000Originality/value\u0000To the best of the authors’ knowledge, this study is the first to explore the public perception of sponge city in Sina Weibo.\u0000","PeriodicalId":46689,"journal":{"name":"International Journal of Climate Change Strategies and Management","volume":" ","pages":""},"PeriodicalIF":3.6,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46626000","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-04-21DOI: 10.1108/ijccsm-03-2022-0031
T. Wei, A. Aaheim
Purpose This study aims to identify the current state of the art and the gaps in the application of computable general equilibrium (CGE) models on studying climate change adaptation. Design/methodology/approach A systematic review is conducted to select, classify and analyze relevant studies from two databases of Web of Science and Scopus. Findings Totally, 170 articles based on selected keywords were found from both databases, where 56 articles were duplicates. The authors further excluded 17 articles owing to preliminary exclusion criteria. Hence, 97 papers were selected for full-text review and more detailed assessment. Only a few of the studies explicitly have addressed the role of autonomous adaptation embodied in the CGE models. Over one-third of the studies have focused on planned adaptation without explicitly mentioning autonomous adaptation. Agriculture was the most addressed sector, and country-level models are the most adopted. Only one article has focused on South America. Research limitations/implications The review suggests that autonomous adaptation embodied in CGE models was not well addressed in the literature. As the limited studies have shown that autonomous adaptation can dramatically mitigate direct climate change impacts, further studies are needed to examine the importance of the autonomous adaptation for better understanding of climate change impacts. Furthermore, CGE models can provide a joint assessment considering both mitigation and adaptation strategies and management measures as such models have also been widely used to address effects of mitigation measures in the literature. Originality/value The studies on climate change adaptation based on CGE models have been systematically reviewed, and state-of-the-art knowledge and research gaps have been identified.
目的本研究旨在确定可计算一般均衡（CGE）模型在研究气候变化适应方面的应用现状和差距。设计/方法/方法进行系统综述，从Web of Science和Scopus两个数据库中选择、分类和分析相关研究。在两个数据库中总共找到了170篇基于所选关键词的文章，其中56篇是重复的。由于初步排除标准，提交人进一步排除了17篇文章。因此，选择了97篇论文进行全文审查和更详细的评估。只有少数研究明确阐述了CGE模型中体现的自主适应的作用。超过三分之一的研究侧重于有计划的适应，而没有明确提及自主适应。农业是处理最多的部门，采用最多的是国家一级的模式。只有一篇文章关注南美洲。研究局限性/含义综述表明，CGE模型中体现的自主适应在文献中没有得到很好的解决。由于有限的研究表明，自主适应可以显著减轻气候变化的直接影响，因此需要进一步研究自主适应对更好地理解气候变化影响的重要性。此外，专家咨询小组模型可以提供一种考虑缓解和适应战略以及管理措施的联合评估，因为这些模型在文献中也被广泛用于解决缓解措施的影响。原创性/价值对基于CGE模型的气候变化适应研究进行了系统审查，并确定了最先进的知识和研究差距。
{"title":"Climate change adaptation based on computable general equilibrium models – a systematic review","authors":"T. Wei, A. Aaheim","doi":"10.1108/ijccsm-03-2022-0031","DOIUrl":"https://doi.org/10.1108/ijccsm-03-2022-0031","url":null,"abstract":"\u0000Purpose\u0000This study aims to identify the current state of the art and the gaps in the application of computable general equilibrium (CGE) models on studying climate change adaptation.\u0000\u0000\u0000Design/methodology/approach\u0000A systematic review is conducted to select, classify and analyze relevant studies from two databases of Web of Science and Scopus.\u0000\u0000\u0000Findings\u0000Totally, 170 articles based on selected keywords were found from both databases, where 56 articles were duplicates. The authors further excluded 17 articles owing to preliminary exclusion criteria. Hence, 97 papers were selected for full-text review and more detailed assessment. Only a few of the studies explicitly have addressed the role of autonomous adaptation embodied in the CGE models. Over one-third of the studies have focused on planned adaptation without explicitly mentioning autonomous adaptation. Agriculture was the most addressed sector, and country-level models are the most adopted. Only one article has focused on South America.\u0000\u0000\u0000Research limitations/implications\u0000The review suggests that autonomous adaptation embodied in CGE models was not well addressed in the literature. As the limited studies have shown that autonomous adaptation can dramatically mitigate direct climate change impacts, further studies are needed to examine the importance of the autonomous adaptation for better understanding of climate change impacts. Furthermore, CGE models can provide a joint assessment considering both mitigation and adaptation strategies and management measures as such models have also been widely used to address effects of mitigation measures in the literature.\u0000\u0000\u0000Originality/value\u0000The studies on climate change adaptation based on CGE models have been systematically reviewed, and state-of-the-art knowledge and research gaps have been identified.\u0000","PeriodicalId":46689,"journal":{"name":"International Journal of Climate Change Strategies and Management","volume":"1 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41688138","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-04-14DOI: 10.1108/ijccsm-06-2022-0071
Alebachew Destaw Belay, W. M. Kebede, Sisay Yehuala Golla
Purpose This study aims to examine determinants of farmers’ use of climate-smart agricultural practices, specifically improved crop varieties, intercropping, improved livestock breeds and rainwater harvesting in Wadla district, northeast Ethiopia. Design/methodology/approach A cross-sectional household survey was used. A structured interview schedule for respondent households and checklists for key informants and focus group discussants were used. This study used both descriptive statistics and a multivariate probit econometric model to analyze the collected data. The model was used to compute factors influencing the use of climate-smart agricultural practices in the study area. Findings The results revealed that households adopted selected practices. The likelihood of farmers’ decisions to use improved crop varieties, intercropping, improved livestock breeds and rainwater harvesting was 85%, 52%, 69% and 59%, respectively. The joint probability of using these climate-smart agricultural practices was 23.7%. The model results confirmed that sex, level of education, livestock holding, access to credit, farm distance, market distance and training were significant factors that affected the use of climate-smart agricultural practices in the study area. Originality/value The present study used the most selected locally practiced interventions for climate-smart agriculture.
{"title":"Determinants of climate-smart agricultural practices in smallholder plots: evidence from Wadla district, northeast Ethiopia","authors":"Alebachew Destaw Belay, W. M. Kebede, Sisay Yehuala Golla","doi":"10.1108/ijccsm-06-2022-0071","DOIUrl":"https://doi.org/10.1108/ijccsm-06-2022-0071","url":null,"abstract":"\u0000Purpose\u0000This study aims to examine determinants of farmers’ use of climate-smart agricultural practices, specifically improved crop varieties, intercropping, improved livestock breeds and rainwater harvesting in Wadla district, northeast Ethiopia.\u0000\u0000\u0000Design/methodology/approach\u0000A cross-sectional household survey was used. A structured interview schedule for respondent households and checklists for key informants and focus group discussants were used. This study used both descriptive statistics and a multivariate probit econometric model to analyze the collected data. The model was used to compute factors influencing the use of climate-smart agricultural practices in the study area.\u0000\u0000\u0000Findings\u0000The results revealed that households adopted selected practices. The likelihood of farmers’ decisions to use improved crop varieties, intercropping, improved livestock breeds and rainwater harvesting was 85%, 52%, 69% and 59%, respectively. The joint probability of using these climate-smart agricultural practices was 23.7%. The model results confirmed that sex, level of education, livestock holding, access to credit, farm distance, market distance and training were significant factors that affected the use of climate-smart agricultural practices in the study area.\u0000\u0000\u0000Originality/value\u0000The present study used the most selected locally practiced interventions for climate-smart agriculture.\u0000","PeriodicalId":46689,"journal":{"name":"International Journal of Climate Change Strategies and Management","volume":" ","pages":""},"PeriodicalIF":3.6,"publicationDate":"2023-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45972138","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-04-07DOI: 10.1108/ijccsm-01-2023-0003
Jiaxin Wu, Lei Liu, Hongjuan Yang
Purpose This study aims to evaluate the characteristics of climate change in Yunnan minority areas and identify an effective path to promote sustainable livelihoods based on climate change. Design/methodology/approach Taking Yunnan Province as an example, based on the expansion of the traditional sustainable livelihood framework, the authors constructed a system dynamics (SD) model of sustainable livelihood from the six subsystems of natural, physical, financial, social, human and cultural and tested the accuracy and effectiveness of the model with data from Cangyuan County. By adjusting these parameters, five development paths are designed to simulate the future situation of the livelihood system and determine the optimal path. Findings Climate change has exacerbated the vulnerability of people’s livelihoods. In future, each of the five development paths will be advantageous for promoting sustainable livelihoods. However, compared with Path I (maintaining the status quo), Path III (path of giving priority to culture) and Path IV (path of giving priority to economic development) have more obvious advantages. Path II (path of giving priority to people’s lives) gradually increases the development rate by promoting people’s endogenous motivation, and Path V (path of coordinated development) is better than the other paths because of its more balanced consideration. Originality/value The analytical framework of sustainable livelihoods based on the characteristics of minority areas is broadened. By constructing a SD model of the livelihood system, the limitations of traditional static analysis have been overcome and a development path for promoting sustainable livelihoods through simulation is proposed. This study offers a theoretical framework and reference method for livelihood research against the backdrop of climate change and a decision-making basis for enhancing climate adaptability and realizing sustainable livelihoods.
{"title":"Development paths of people’s sustainable livelihood based on climate change: a case study of Yunnan minority areas","authors":"Jiaxin Wu, Lei Liu, Hongjuan Yang","doi":"10.1108/ijccsm-01-2023-0003","DOIUrl":"https://doi.org/10.1108/ijccsm-01-2023-0003","url":null,"abstract":"\u0000Purpose\u0000This study aims to evaluate the characteristics of climate change in Yunnan minority areas and identify an effective path to promote sustainable livelihoods based on climate change.\u0000\u0000\u0000Design/methodology/approach\u0000Taking Yunnan Province as an example, based on the expansion of the traditional sustainable livelihood framework, the authors constructed a system dynamics (SD) model of sustainable livelihood from the six subsystems of natural, physical, financial, social, human and cultural and tested the accuracy and effectiveness of the model with data from Cangyuan County. By adjusting these parameters, five development paths are designed to simulate the future situation of the livelihood system and determine the optimal path.\u0000\u0000\u0000Findings\u0000Climate change has exacerbated the vulnerability of people’s livelihoods. In future, each of the five development paths will be advantageous for promoting sustainable livelihoods. However, compared with Path I (maintaining the status quo), Path III (path of giving priority to culture) and Path IV (path of giving priority to economic development) have more obvious advantages. Path II (path of giving priority to people’s lives) gradually increases the development rate by promoting people’s endogenous motivation, and Path V (path of coordinated development) is better than the other paths because of its more balanced consideration.\u0000\u0000\u0000Originality/value\u0000The analytical framework of sustainable livelihoods based on the characteristics of minority areas is broadened. By constructing a SD model of the livelihood system, the limitations of traditional static analysis have been overcome and a development path for promoting sustainable livelihoods through simulation is proposed. This study offers a theoretical framework and reference method for livelihood research against the backdrop of climate change and a decision-making basis for enhancing climate adaptability and realizing sustainable livelihoods.\u0000","PeriodicalId":46689,"journal":{"name":"International Journal of Climate Change Strategies and Management","volume":" ","pages":""},"PeriodicalIF":3.6,"publicationDate":"2023-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47430008","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-04-05DOI: 10.1108/ijccsm-01-2023-0006
Sha Chen, Yuandi Wang, Hongping Du, Zhiyu Cui
Purpose Although the tasks of managing carbon peaks and achieving carbon neutrality in China are arduous, they are also of great significance, which highlights China’s determination and courage in dealing with climate change. The power industry is not only a major source of carbon emissions but also an important area for carbon emission reduction. Thus, against the backdrop of carbon neutrality, understanding the development status of China’s power industry guided by the carbon neutrality background is important because it largely determines the completeness of China’s carbon reduction promises to the world. This study aims to review China’s achievements in carbon reduction in the electric industry, its causes and future policy highlights. Design/methodology/approach The methods used in this study include descriptive analyses based on official statistics, government documents and reports. Findings The research results show that, after years of development, the power industry has achieved positive results in low-carbon provisions and in the electrification of consumption, and carbon emission intensity has continued to decline. Policy initiatives play a key role in this process, including, but not limited to, technology innovations, low-carbon power replacement and supported policies for low-carbon transformation toward low-carbon economies. Originality/value This study provides a full picture of China’s power industry against the backdrop of low-carbon development, which could be used as a benchmark for other countries engaging in the same processes. Moreover, a careful review of China’s development status may offer profound implications for policymaking both for China and for other governments across the globe.
{"title":"The current situation, development aims and policy recommendation of China’s electric power industry","authors":"Sha Chen, Yuandi Wang, Hongping Du, Zhiyu Cui","doi":"10.1108/ijccsm-01-2023-0006","DOIUrl":"https://doi.org/10.1108/ijccsm-01-2023-0006","url":null,"abstract":"\u0000Purpose\u0000Although the tasks of managing carbon peaks and achieving carbon neutrality in China are arduous, they are also of great significance, which highlights China’s determination and courage in dealing with climate change. The power industry is not only a major source of carbon emissions but also an important area for carbon emission reduction. Thus, against the backdrop of carbon neutrality, understanding the development status of China’s power industry guided by the carbon neutrality background is important because it largely determines the completeness of China’s carbon reduction promises to the world. This study aims to review China’s achievements in carbon reduction in the electric industry, its causes and future policy highlights.\u0000\u0000\u0000Design/methodology/approach\u0000The methods used in this study include descriptive analyses based on official statistics, government documents and reports.\u0000\u0000\u0000Findings\u0000The research results show that, after years of development, the power industry has achieved positive results in low-carbon provisions and in the electrification of consumption, and carbon emission intensity has continued to decline. Policy initiatives play a key role in this process, including, but not limited to, technology innovations, low-carbon power replacement and supported policies for low-carbon transformation toward low-carbon economies.\u0000\u0000\u0000Originality/value\u0000This study provides a full picture of China’s power industry against the backdrop of low-carbon development, which could be used as a benchmark for other countries engaging in the same processes. Moreover, a careful review of China’s development status may offer profound implications for policymaking both for China and for other governments across the globe.\u0000","PeriodicalId":46689,"journal":{"name":"International Journal of Climate Change Strategies and Management","volume":" ","pages":""},"PeriodicalIF":3.6,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48784685","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-04-05DOI: 10.1108/ijccsm-10-2021-0123
Syed Shoyeb Hossain, Yongwei Cui, H. Delin, Xinyuan Zhang
Purpose Evaluating the economic effects of climate change is a pivotal step for planning adaptation in developing countries. For Bangladesh, global warming has put it among the most vulnerable countries in the world to climate change, with increasing temperatures and sea-level rise. Hence, the purpose of this paper is to examine how climate change impacts the economy in Bangladesh in the case of climate scenarios. Design/methodology/approach Using a dynamic computable general equilibrium (CGE) model and three climate change scenarios, this paper assesses the economy-wide implications of climate change on Bangladesh’s economy and agriculture. It is clear from the examination of the CGE model that the impacts of climate change on agricultural sectors were felt more sharply, reducing output by −3.25% and −3.70%, respectively, and increasing imports by 1.22% and 1.53% in 2030 and 2050, compared to the baseline. Findings The findings reveal that, relative to baseline, agricultural output will decline by a range of −3.1% to −3.6% under the high climate scenario (higher temperatures and lower yields). A decrease in agricultural output results in declines in agricultural labor and household income. Household income falls in all categories, although it drops the most in urban less educated households with a range of −3.1% to −3.4%. On the other hand, consumption of commodities will fall by −0.11% to −0.13%, according to the findings. Although climate change impacts had a relatively small effect on gross domestic product, reducing it by −0.059% and −0.098% in 2030 and 2050, respectively. Practical implications As agricultural output, household consumption and income decline, it will impact the majority of the population’s health in Bangladesh by increasing malnutrition, hidden hunger, poverty, changing food environment, changing physical and mental health status and a changing health-care environment. Therefore, population health and food security will be a top socioeconomic and political concern for Bangladesh Government. Originality/value The examination of the dynamic CGE model is its originality. In conclusion, the evidence generated here can provide important information to policymakers and guide government policies that contribute to national development and the achievement of food security targets. It is also necessary to put more emphasis on climate change issues and address potential risks in the following years.
{"title":"The economic influence of climate change on Bangladesh agriculture: application of a dynamic computable general equilibrium model","authors":"Syed Shoyeb Hossain, Yongwei Cui, H. Delin, Xinyuan Zhang","doi":"10.1108/ijccsm-10-2021-0123","DOIUrl":"https://doi.org/10.1108/ijccsm-10-2021-0123","url":null,"abstract":"\u0000Purpose\u0000Evaluating the economic effects of climate change is a pivotal step for planning adaptation in developing countries. For Bangladesh, global warming has put it among the most vulnerable countries in the world to climate change, with increasing temperatures and sea-level rise. Hence, the purpose of this paper is to examine how climate change impacts the economy in Bangladesh in the case of climate scenarios.\u0000\u0000\u0000Design/methodology/approach\u0000Using a dynamic computable general equilibrium (CGE) model and three climate change scenarios, this paper assesses the economy-wide implications of climate change on Bangladesh’s economy and agriculture. It is clear from the examination of the CGE model that the impacts of climate change on agricultural sectors were felt more sharply, reducing output by −3.25% and −3.70%, respectively, and increasing imports by 1.22% and 1.53% in 2030 and 2050, compared to the baseline.\u0000\u0000\u0000Findings\u0000The findings reveal that, relative to baseline, agricultural output will decline by a range of −3.1% to −3.6% under the high climate scenario (higher temperatures and lower yields). A decrease in agricultural output results in declines in agricultural labor and household income. Household income falls in all categories, although it drops the most in urban less educated households with a range of −3.1% to −3.4%. On the other hand, consumption of commodities will fall by −0.11% to −0.13%, according to the findings. Although climate change impacts had a relatively small effect on gross domestic product, reducing it by −0.059% and −0.098% in 2030 and 2050, respectively.\u0000\u0000\u0000Practical implications\u0000As agricultural output, household consumption and income decline, it will impact the majority of the population’s health in Bangladesh by increasing malnutrition, hidden hunger, poverty, changing food environment, changing physical and mental health status and a changing health-care environment. Therefore, population health and food security will be a top socioeconomic and political concern for Bangladesh Government.\u0000\u0000\u0000Originality/value\u0000The examination of the dynamic CGE model is its originality. In conclusion, the evidence generated here can provide important information to policymakers and guide government policies that contribute to national development and the achievement of food security targets. It is also necessary to put more emphasis on climate change issues and address potential risks in the following years.\u0000","PeriodicalId":46689,"journal":{"name":"International Journal of Climate Change Strategies and Management","volume":" ","pages":""},"PeriodicalIF":3.6,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44309439","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-04-04DOI: 10.1108/ijccsm-12-2022-0150
Chun-Chien Lin, Yu-Chen Chang
Purpose This study aims to examine how external and internal conditions drive the impact of circular economy mechanism by decomposing into three policy networks in terms of reduce, reuse and recycle, to better understand the contingency model of climate change and effect of firm size on subsequent performance. Design/methodology/approach Drawing on circular economy network and resource-based view (RBV)-network-resilience strategy framework, a pooled longitudinal cross-sectional data model is developed using a sample of 4,050 Taiwanese manufacturing multinational corporations (MNCs) making foreign direct investment between 2013 and 2018. Structural equation modeling analysis is used to comprehensively examine and investigate each circular economy policy network in the context of climate change and firm size. Post hoc multigroup analysis (MGA) is also conducted. Findings MGA shows that the reduce policy network is positively and negatively related to manufacturing know-how and production size, respectively. The impact of reuse policy network can enhance the competence of large firms. The recycle policy network is more prominent in terms of competence enhancement of climate change. Practical implications MNCs are seeking to build circular economy policy networks to a greater extent, given climate change pressure and guidelines. Originality/value This study adds to the circular economy and RBV-network-related literature on climate change and interactions to enhance performance, echoing the recent call on the sustainability of the circular economy of MNCs.
{"title":"Impact of circular economy network building: resilience strategy to climate action","authors":"Chun-Chien Lin, Yu-Chen Chang","doi":"10.1108/ijccsm-12-2022-0150","DOIUrl":"https://doi.org/10.1108/ijccsm-12-2022-0150","url":null,"abstract":"\u0000Purpose\u0000This study aims to examine how external and internal conditions drive the impact of circular economy mechanism by decomposing into three policy networks in terms of reduce, reuse and recycle, to better understand the contingency model of climate change and effect of firm size on subsequent performance.\u0000\u0000\u0000Design/methodology/approach\u0000Drawing on circular economy network and resource-based view (RBV)-network-resilience strategy framework, a pooled longitudinal cross-sectional data model is developed using a sample of 4,050 Taiwanese manufacturing multinational corporations (MNCs) making foreign direct investment between 2013 and 2018. Structural equation modeling analysis is used to comprehensively examine and investigate each circular economy policy network in the context of climate change and firm size. Post hoc multigroup analysis (MGA) is also conducted.\u0000\u0000\u0000Findings\u0000MGA shows that the reduce policy network is positively and negatively related to manufacturing know-how and production size, respectively. The impact of reuse policy network can enhance the competence of large firms. The recycle policy network is more prominent in terms of competence enhancement of climate change.\u0000\u0000\u0000Practical implications\u0000MNCs are seeking to build circular economy policy networks to a greater extent, given climate change pressure and guidelines.\u0000\u0000\u0000Originality/value\u0000This study adds to the circular economy and RBV-network-related literature on climate change and interactions to enhance performance, echoing the recent call on the sustainability of the circular economy of MNCs.\u0000","PeriodicalId":46689,"journal":{"name":"International Journal of Climate Change Strategies and Management","volume":" ","pages":""},"PeriodicalIF":3.6,"publicationDate":"2023-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48453060","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-29DOI: 10.1108/ijccsm-08-2022-0121
Tianchong Wang, B. Suo
Purpose With the growing climate problem, it has become a consensus to develop low-carbon technologies to reduce emissions. Electric industry is a major carbon-emitting industry, accounting for 35% of global carbon emissions. Universities, as an important patent application sector in China, promote their patent application and transformation to enhance Chinese technological innovation capability. This study aims to analyze low-carbon electricity technology transformation in Chinese universities. Design/methodology/approach This paper uses IncoPat to collect patent data. The trend of low-carbon electricity technology patent applications in Chinese universities, the status, patent technology distribution, patent transformation status and patent transformation path of valid patent is analyzed. Findings Low-carbon electricity technology in Chinese universities has been promoted, and the number of patents has shown rapid growth. Invention patents proportion is increasing, and the transformation has become increasingly active. Low-carbon electricity technology in Chinese universities is mainly concentrated in individual cooperative patent classification (CPC) classification numbers, and innovative technologies will be an important development for electric reduction. Originality/value This paper innovatively uses valid patents to study the development of low-carbon electricity technology in Chinese universities, and defines low-carbon technology patents by CPC patent classification system. A new attempt focuses on the development status and direction in low-carbon electricity technology in Chinese universities, and highlights the contribution of valid patents to patent value.
{"title":"Low-carbon electricity technology transformation in Chinese universities","authors":"Tianchong Wang, B. Suo","doi":"10.1108/ijccsm-08-2022-0121","DOIUrl":"https://doi.org/10.1108/ijccsm-08-2022-0121","url":null,"abstract":"\u0000Purpose\u0000With the growing climate problem, it has become a consensus to develop low-carbon technologies to reduce emissions. Electric industry is a major carbon-emitting industry, accounting for 35% of global carbon emissions. Universities, as an important patent application sector in China, promote their patent application and transformation to enhance Chinese technological innovation capability. This study aims to analyze low-carbon electricity technology transformation in Chinese universities.\u0000\u0000\u0000Design/methodology/approach\u0000This paper uses IncoPat to collect patent data. The trend of low-carbon electricity technology patent applications in Chinese universities, the status, patent technology distribution, patent transformation status and patent transformation path of valid patent is analyzed.\u0000\u0000\u0000Findings\u0000Low-carbon electricity technology in Chinese universities has been promoted, and the number of patents has shown rapid growth. Invention patents proportion is increasing, and the transformation has become increasingly active. Low-carbon electricity technology in Chinese universities is mainly concentrated in individual cooperative patent classification (CPC) classification numbers, and innovative technologies will be an important development for electric reduction.\u0000\u0000\u0000Originality/value\u0000This paper innovatively uses valid patents to study the development of low-carbon electricity technology in Chinese universities, and defines low-carbon technology patents by CPC patent classification system. A new attempt focuses on the development status and direction in low-carbon electricity technology in Chinese universities, and highlights the contribution of valid patents to patent value.\u0000","PeriodicalId":46689,"journal":{"name":"International Journal of Climate Change Strategies and Management","volume":" ","pages":""},"PeriodicalIF":3.6,"publicationDate":"2023-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44749133","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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