M. Irfan, Y. Hao, M. Ikram, Haitao Wu, R. Akram, Abdul Rauf
{"title":"Assessment of the Public Acceptance and Utilization of Renewable Energy in Pakistan","authors":"M. Irfan, Y. Hao, M. Ikram, Haitao Wu, R. Akram, Abdul Rauf","doi":"10.2139/ssrn.3811627","DOIUrl":"https://doi.org/10.2139/ssrn.3811627","url":null,"abstract":"Abstract The acceptance of renewable energy technologies is a complicated and multifaceted process influenced by a broad range of factors. Therefore, this study aims to examine the factors influencing consumer intention to utilize renewable energy (RE). Moreover, the current research highlights the factors that encourage or discourage consumers from utilizing RE by expanding the structural context of the Theory of Planned Behavior (TPB) by integrating three new considerations (the perception of self-effectiveness, beliefs about the benefits of RE, and perception about neighbor participation). The data used for analysis were collected from 351 households in four large cities, including Rawalpindi, Lahore, Gujranwala, and Faisalabad, in Pakistan. We utilized the Structural Equation Modeling (SEM) approach to check the relationship between constructs and latent variables. The results reveal that the driving factors, i.e., the perception of self-effectiveness, awareness, and perception about neighbor participation have significant and positive effects on consumer intention to utilize RE. However, consumer beliefs related to the cost of RE utilization have a negative effect on their intention to utilize RE. More interestingly, it was observed that beliefs about the benefits of RE and environmental concern have insignificant effects. The outcomes of this study can assist policy makers, experts and consumers in understanding renewable energy consumption and gaining awareness about environmental problems while simultaneously improving environmental sustainability practices.","PeriodicalId":152094,"journal":{"name":"DecisionSciRN: Decision-Making in Energy & Utilities (Topic)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127680857","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":"Climate Change, Analyst Forecasts, and Market Behavior","authors":"Carina Cuculiza, Alok Kumar, Wei Xin, Chendi Zhang","doi":"10.2139/ssrn.3781157","DOIUrl":"https://doi.org/10.2139/ssrn.3781157","url":null,"abstract":"This study examines whether sell-side equity analysts help the market assimilate information contained in global climate change. Using a new measure of firm sensitivity to climate change, we show that analysts located in states where firms exhibit greater sensitivity to abnormal temperature changes issue relatively less optimistic and more accurate forecasts in periods following large temperature increases. These effects are stronger for firms that are more sensitive to temperature changes. High temperature sensitivity firms also have lower consensus forecasts and higher earnings surprises, which generate higher stock market reaction following earnings announcements. Collectively, the evidence suggests that certain sell-side equity analysts incorporate news about climate change in their earnings forecasts and, consequently, earnings information is incorporated into prices quicker.","PeriodicalId":152094,"journal":{"name":"DecisionSciRN: Decision-Making in Energy & Utilities (Topic)","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131585498","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":"Two Regional Agreements Between Developed and Developing Countries: The Choice of Two Strategies","authors":"Nobuyuki Takashima","doi":"10.2139/ssrn.3463562","DOIUrl":"https://doi.org/10.2139/ssrn.3463562","url":null,"abstract":"This paper aims at increasing the choice of regional agreements where developed and developing countries participate, by considering two strategies. We present a new strategy based on that of Asheim et al. (2006, Journal of Environmental Economics and Management, vol.51, pp.93-109), designating the countries that are permitted to punish non-compliance, to sustain the agreement. If a country deviates from the strategy, the same type of countries as the deviator will take cooperative action (reduce emissions), whereas the other type of countries, which are different from the deviator, will take punishment action (not reduce emissions). Unlike previous studies, this study focuses on the feasibility of IEAs rather than the number of signatories. We adopt two strategies and compares the condition for a weakly renegotiation-proof equilibrium between them. A main finding is that on the negotiation table before agreements start, the negotiating countries have several choices regarding the number of signatories by considering two strategies. The results would be significant for the future success of a treaty for climate change in terms of IEA feasibility.","PeriodicalId":152094,"journal":{"name":"DecisionSciRN: Decision-Making in Energy & Utilities (Topic)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134244083","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}