{"title":"IMPLICIT PRICES OF JOB RISK, CLIMATE, AND AIR POLLUTION: EVIDENCE FROM TAIWAN","authors":"N. Zhang, D. Shaw, Chuan-Yao Lin","doi":"10.1142/s2010007822500075","DOIUrl":"https://doi.org/10.1142/s2010007822500075","url":null,"abstract":"We examine the implicit price of job mortality rates, climate, and air pollution in Taiwan under the hedonic wage frame with panel data from 1999 to 2014. We adopt a fixed-effects model to control for the omitted year-specific factors and time-invariant individual, industry, and city factors that may affect the wage. The within-individual variations in climate and air pollution from workers who have changed their job locations make it possible to identify the impacts of climate and air pollution on wages. We find that workers in Taiwan are willing to pay 308 USD (in 2014 value terms) for the January temperature to increase by 1∘C,781 USD for the July temperature to decline by 1∘C, indicating a net loss from global warming. Besides, the implicit price of air quality is 45 USD for PM 10 concentrations to fall by 1 unit ([Formula: see text]), and the implicit price of job risks is 140 USD per unit (1/100,000).","PeriodicalId":45922,"journal":{"name":"Climate Change Economics","volume":"108 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2022-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85264361","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Adaptation to climate change in arid lands: Evidence from pastoral areas of Senegal","authors":"A. Beye, W. Diop","doi":"10.1142/s201000782350001x","DOIUrl":"https://doi.org/10.1142/s201000782350001x","url":null,"abstract":"","PeriodicalId":45922,"journal":{"name":"Climate Change Economics","volume":"77 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2022-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85065200","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"ACHIEVING GREENHOUSE GAS MITIGATION THROUGH CLIMATE CHANGE CONTROL WITH THE ROLE OF FINANCIAL DEVELOPMENT IN COVID-19 PERIOD","authors":"ZHEN LIU, JIALI TIAN, LEILING WANG, RUBAB GUL","doi":"10.1142/s2010007822400139","DOIUrl":"https://doi.org/10.1142/s2010007822400139","url":null,"abstract":"The study inquired the role of financial development (FD) on climate change control in COVID-19 period to identify the ways useful to achieve greenhouse gas mitigation in BRICS economies. BRICS countries are included because of their high energy-environment dependence and their need for climate financing through FD promoting greenhouse gas emission. The projected role of FD activity on climate change mitigation is inferred using the generalized methods of moments (GMM). The study results indicated that five out of the six climate change mitigation indicators have a long-term correlation with BRICS’s CO<sub>2</sub> emissions. On the other side, there is no evidence of integration between variables in Russia. Moreover, the findings revealed that there 18% rise in FD is estimated, this raised the probability of effective climate change mitigation by 39% in the post-COVID-period, and it reduces greenhouse gas mitigations by 24.7%. The results also highlighted that there is a one-way correlation between energy use and climate drifts. On these findings, policymakers and environmental regulators in BRICS could take inspiration from our study to plan and revisit greenhouse gas mitigation through proper environmental legislation. Additionally, it also encourages other countries and economies to perform comparable assessments and select the best course of action. Hence, this study provides detailed and viable recommendations for key stakeholders for consideration and application to achieve the intended objectives.","PeriodicalId":45922,"journal":{"name":"Climate Change Economics","volume":"7 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2022-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138528046","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"THE REGIONAL ROLES ALONGSIDE THE EVOLUTION OF CARBON TRANSFER STRUCTURE WITHIN CHINA: A PERSPECTIVE FROM THE NATIONAL VALUE CHAIN","authors":"Shuyu Wang, Jieying Wu, Guoxiang Xu","doi":"10.1142/s2010007822400115","DOIUrl":"https://doi.org/10.1142/s2010007822400115","url":null,"abstract":"To strengthen the national efforts to meet Paris Agreement Targets, China has announced its carbon neutrality goal in 2020 and launched the national carbon market in 2021. Regional carbon emissions accounting is important for the allocation of regional mitigation targets and emission allowances in the policy-making of the national carbon market. This paper integrates the trade in value-added (TiVA) accounting method to comprehensively analyze the evolution of the carbon emissions transfer network in China along the national value chain (NVC) and further clarifies the changing roles of regions participating in the network during 2007–2017. The results indicate that the inter-regional carbon emissions transfer structure in China has changed from the pattern of “transferring from inland areas to developed areas” to a new pattern of a “carbon emissions transfer network with the Yangtze River Delta and the Central regions as pivots”. This paper provides insightful results for China to strike a balance between economic development and environmental governance among regions in achieving carbon neutrality.","PeriodicalId":45922,"journal":{"name":"Climate Change Economics","volume":"7 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2022-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86228532","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Janka Vanschoenwinkel, M. Vancauteren, S. Van Passel
{"title":"How do Western European farms behave and respond to Climate Change? A Simultaneous Irrigation-Crop Decision Model","authors":"Janka Vanschoenwinkel, M. Vancauteren, S. Van Passel","doi":"10.1142/s2010007822500099","DOIUrl":"https://doi.org/10.1142/s2010007822500099","url":null,"abstract":"","PeriodicalId":45922,"journal":{"name":"Climate Change Economics","volume":"2 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2022-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85176710","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Nexus of Climate Conditions with Energy Environmental Growth Integration: How Does Economic Indicators Matter?","authors":"Yanliang Zhu, Kaifeng Wang, Robina Iram","doi":"10.1142/s2010007822400152","DOIUrl":"https://doi.org/10.1142/s2010007822400152","url":null,"abstract":"","PeriodicalId":45922,"journal":{"name":"Climate Change Economics","volume":"45 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2022-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86503877","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Analysis of the Carbon Allowance Allocation and Sectoral Coverage in the Carbon Market Under the New Climate Ambition: A Case Study in China","authors":"Sih-Gung Cheng, Jihong Zhang, Shaozhou Qi","doi":"10.1142/s2010007822400164","DOIUrl":"https://doi.org/10.1142/s2010007822400164","url":null,"abstract":"","PeriodicalId":45922,"journal":{"name":"Climate Change Economics","volume":"14 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2022-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85032495","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Souryabrata Mohapatra, B. Sharp, Dukhabandhu Sahoo
{"title":"HOW CHANGES IN CLIMATE AFFECT CROP YIELDS IN EASTERN INDIA","authors":"Souryabrata Mohapatra, B. Sharp, Dukhabandhu Sahoo","doi":"10.1142/s2010007822500014","DOIUrl":"https://doi.org/10.1142/s2010007822500014","url":null,"abstract":"Climate change wreaks havoc on the planet’s ecosystem, affects weather patterns and undermines food security. This paper investigates the effect of changing climate on Indian agriculture, and the climate sensitivity of food grain yield in the eastern region. Using a panel set of physical crop yields and analyzing district-level data from 1990 to 2017, the study estimates agricultural production functions for specific food grains with extrinsic seasonal weather variables. These include average temperature, rainfall, evapotranspiration and wind speed. Spatially disaggregated district-level data provides information from low administrative units, creating a broader picture to be examined. The research indicates that climate change significantly affects east Indian agriculture, and its outcomes are consistent with other state and district-level studies conducted in India. Changing weather patterns over the year considerably influence crop production and disrupt food availability and quality. Hence, the study further expands the implications of results for inter-region inequality and recommends corrective measures.","PeriodicalId":45922,"journal":{"name":"Climate Change Economics","volume":"15 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2022-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89951825","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yawen Liu, Lingyu Yang, Jinzhu Zhang, Qi Cui, Yu Liu, Fengying Nie, Yumeng Hu
{"title":"AGGRAVATING EFFECTS OF FOOD EXPORT RESTRICTIONS UNDER CLIMATE CHANGE ON FOOD SECURITY: AN ANALYSIS OF RICE ECONOMY BASED ON ALTERNATIVE INDICATORS","authors":"Yawen Liu, Lingyu Yang, Jinzhu Zhang, Qi Cui, Yu Liu, Fengying Nie, Yumeng Hu","doi":"10.1142/s2010007822400061","DOIUrl":"https://doi.org/10.1142/s2010007822400061","url":null,"abstract":"The impact of climate change (CC) on food security has been widely discussed in the literature. However, the role of food export restrictions induced by CC is poorly understood. In this study, we take rice as an example and apply a global economic model to investigate the food security implications of CC and food export restrictions based on both self-sufficiency rate (SSR) and household rice consumption indicators. We find that for capturing the impacts of CC and export restrictions on food security, the household rice consumption indicator is much more suitable than the SSR indicator. The impacts of the export restrictions on food security vastly exceed CC effects in over half of the regions. Regarding household rice consumption indicators, the sign of the impact of rice export restriction for each country depends on its position in the global rice market and whether it enforces the restriction policy. The magnitude of impacts depends on the changes in consumer prices of rice and the affluence level of each region. Facing CC, household rice consumption in regions without export restrictions will be negatively affected. Interestingly, not all the regions enforcing export restrictions would benefit from the restrictive policy. Only the net rice exporters benefit slightly, while net importers are adversely affected. The export restriction policy would make the harmful effects of CC transmit from South Asia to Africa and the Middle East. For adaptation/mitigation policies, more attention should be paid to the leading exporters imposing export restrictions where the adverse effects are originated and the more impoverished regions with close trade connections with such regions.","PeriodicalId":45922,"journal":{"name":"Climate Change Economics","volume":"237 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2022-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77499075","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"MEASURING THE IMPACT OF ECONOMIC POLICIES ON CO2 EMISSIONS: WAYS TO ACHIEVE GREEN ECONOMIC RECOVERY IN THE POST-COVID-19 ERA","authors":"Wenjie Huang, H. Saydaliev, W. Iqbal, M. Irfan","doi":"10.1142/s2010007822400103","DOIUrl":"https://doi.org/10.1142/s2010007822400103","url":null,"abstract":"Regional attempts to reduce pollution levels emerging from the European Union (EU) relative to 2010 are contrasted with unique policies of individual member countries’ aims to achieve a 10% reduction per country. Given this scenario, this research expands on the topic by developing a novel framework that links macroeconomic policies, total national expenditure per person, traditional energy use, renewable energy use, and CO2 emissions levels in EU countries from 1990 to 2016. The study utilizes the second generation cross-sectional-autoregressive-distributed lag (CS-ARDL) panel data method. According to the study’s findings, the monetary instruments of growth exacerbated the adverse effects of CO2 emissions, and by tightening monetary policy, the harmful effects of CO2 emissions levels have been reduced. Further, the Granger causality test indicates a bidirectional causality between monetary policy and CO2 emissions levels, and unidirectional causality from the policy assessment for energy use. The finding confirms that the assessment policy recommendations on energy consumption have future effects on ecological value.","PeriodicalId":45922,"journal":{"name":"Climate Change Economics","volume":"34 5 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2022-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83678586","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}