Pub Date : 2024-07-05DOI: 10.1142/s2010007824400116
Ki-Bok Chang, Sung Won Kang, Oh Sang Kwon, Seoungho Lee, Jeongeun Lee, Yoonmo Koo
{"title":"The Economic Impacts of Implementing Net Zero Policies in Korea: A Combined Top-down and Bottom-up Approach","authors":"Ki-Bok Chang, Sung Won Kang, Oh Sang Kwon, Seoungho Lee, Jeongeun Lee, Yoonmo Koo","doi":"10.1142/s2010007824400116","DOIUrl":"https://doi.org/10.1142/s2010007824400116","url":null,"abstract":"","PeriodicalId":502585,"journal":{"name":"Climate Change Economics","volume":" 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141677416","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}
Pub Date : 2024-05-22DOI: 10.1142/s2010007824030015
Chu Wei, Wenji Zhou, Andreas Löschel, Xiao-Bing Zhang
{"title":"ECONOMICS OF COOLING AND HEATING: A REVIEW OF RECENT ADVANCES","authors":"Chu Wei, Wenji Zhou, Andreas Löschel, Xiao-Bing Zhang","doi":"10.1142/s2010007824030015","DOIUrl":"https://doi.org/10.1142/s2010007824030015","url":null,"abstract":"","PeriodicalId":502585,"journal":{"name":"Climate Change Economics","volume":"55 22","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141108904","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}
Pub Date : 2024-05-10DOI: 10.1142/s2010007824400086
Peng-Xiang Zhai, Qiang Ji, Yan-Ran Ma
{"title":"Climate risks and financial market: A review of the literature","authors":"Peng-Xiang Zhai, Qiang Ji, Yan-Ran Ma","doi":"10.1142/s2010007824400086","DOIUrl":"https://doi.org/10.1142/s2010007824400086","url":null,"abstract":"","PeriodicalId":502585,"journal":{"name":"Climate Change Economics","volume":" 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140993548","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}
Pub Date : 2024-05-10DOI: 10.1142/s2010007824400098
Kai-Hua Wang, Cui-Ping Wen, Ran Tao, Jianzeng Li, Xiaotian Dong
{"title":"Climate policy uncertainty and carbon price: evidence from frequency and quantile perspective","authors":"Kai-Hua Wang, Cui-Ping Wen, Ran Tao, Jianzeng Li, Xiaotian Dong","doi":"10.1142/s2010007824400098","DOIUrl":"https://doi.org/10.1142/s2010007824400098","url":null,"abstract":"","PeriodicalId":502585,"journal":{"name":"Climate Change Economics","volume":" 37","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140993976","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}
Pub Date : 2024-02-16DOI: 10.1142/s2010007824500039
Jacobus Nel, Rangan Gupta, M. Wohar, Christian Pierdzioch
We analyze whether metrics of climate risks, as captured primarily by changes in temperature anomaly and its stochastic volatility, can predict returns and volatility of 25 commodities, covering the overall historical period of 1258 to 2021. To this end, we apply a higher-order nonparametric causality-in-quantiles test to not only uncover potential predictability in the entire conditional distribution of commodity returns and volatility, but also to account for nonlinearity and structural breaks which exist between commodity returns and the metrics of climate risks. We find that, unlike in the misspecified linear Granger causality tests, climate risks do predict commodity returns and volatility, though the impact on the latter is stronger, in terms of the coverage of the conditional distribution. Insights from our findings can benefit academics, investors, and policymakers in their decision-making.
{"title":"Climate Risks and Predictability of Commodity Returns and Volatility: Evidence from Over 750 Years of Data","authors":"Jacobus Nel, Rangan Gupta, M. Wohar, Christian Pierdzioch","doi":"10.1142/s2010007824500039","DOIUrl":"https://doi.org/10.1142/s2010007824500039","url":null,"abstract":"We analyze whether metrics of climate risks, as captured primarily by changes in temperature anomaly and its stochastic volatility, can predict returns and volatility of 25 commodities, covering the overall historical period of 1258 to 2021. To this end, we apply a higher-order nonparametric causality-in-quantiles test to not only uncover potential predictability in the entire conditional distribution of commodity returns and volatility, but also to account for nonlinearity and structural breaks which exist between commodity returns and the metrics of climate risks. We find that, unlike in the misspecified linear Granger causality tests, climate risks do predict commodity returns and volatility, though the impact on the latter is stronger, in terms of the coverage of the conditional distribution. Insights from our findings can benefit academics, investors, and policymakers in their decision-making.","PeriodicalId":502585,"journal":{"name":"Climate Change Economics","volume":"48 31","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139961403","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}
Pub Date : 2024-02-08DOI: 10.1142/s2010007823400079
Hongguang Nie, Fengjiao Mu, Ying Fan
Global fossil energy consumption is a significant source of carbon dioxide emissions and a major cause of global climate change. Heat consumption in the residential sector is an important part of this consumption. Based on reinforcement theory, this study analyzed the influence mechanism of information feedback on the residents’ energy-saving behaviors and applied the survey data from 1248 households in three Western European countries to analyze the impact of heat consumption information feedback on four typical heat-saving behaviors of residents. Finally, it applied the probit model to measure the quantitative effect of information feedback on the heat-saving behavior. Four heat-saving behaviors were considered: “improving house insulation”, “setting the thermostat to 20°C or below”, “turning the heat down at night” and “closing the windows when the heating is running”. The empirical results showed that heat consumption information feedback has a significant impact on residents’ heat-saving behavior. After adding the controlling variables, such as demographic variables, willingness to pay for greenness, environmental concern and environmental belief, the estimated results changed slightly, but the estimates of the study are still significant. According to the estimates, residents who can obtain the heat consumption information feedback timely were 9.3%, 5.2%, 5.9% and 4.3% more likely than residents who can’t obtain the heat consumption information feedback timely to adopt the heat-saving behaviors of “improving house insulation”, “setting the thermostat to 20°C or below”, “turning the heat down at night” and “closing the windows when the heating is running”.
{"title":"INVESTIGATING THE IMPACT OF INFORMATION FEEDBACK ON RESIDENTS’ ENERGY-SAVING BEHAVIOR IN THE HEATING SECTOR","authors":"Hongguang Nie, Fengjiao Mu, Ying Fan","doi":"10.1142/s2010007823400079","DOIUrl":"https://doi.org/10.1142/s2010007823400079","url":null,"abstract":"Global fossil energy consumption is a significant source of carbon dioxide emissions and a major cause of global climate change. Heat consumption in the residential sector is an important part of this consumption. Based on reinforcement theory, this study analyzed the influence mechanism of information feedback on the residents’ energy-saving behaviors and applied the survey data from 1248 households in three Western European countries to analyze the impact of heat consumption information feedback on four typical heat-saving behaviors of residents. Finally, it applied the probit model to measure the quantitative effect of information feedback on the heat-saving behavior. Four heat-saving behaviors were considered: “improving house insulation”, “setting the thermostat to 20°C or below”, “turning the heat down at night” and “closing the windows when the heating is running”. The empirical results showed that heat consumption information feedback has a significant impact on residents’ heat-saving behavior. After adding the controlling variables, such as demographic variables, willingness to pay for greenness, environmental concern and environmental belief, the estimated results changed slightly, but the estimates of the study are still significant. According to the estimates, residents who can obtain the heat consumption information feedback timely were 9.3%, 5.2%, 5.9% and 4.3% more likely than residents who can’t obtain the heat consumption information feedback timely to adopt the heat-saving behaviors of “improving house insulation”, “setting the thermostat to 20°C or below”, “turning the heat down at night” and “closing the windows when the heating is running”.","PeriodicalId":502585,"journal":{"name":"Climate Change Economics","volume":"62 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139794083","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}
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