Pub Date : 2024-07-03DOI: 10.3389/fsuep.2024.1351785
M. Raza, Boqiang Lin, Qasim Javed
India is often referred to as the next development superpower, and generally, becoming a large-scale industrialization center is seen as an achievable goal for the country. This article investigates the output elasticity, substitution elasticity, and technological advancement between the various factors (i.e., labor, capital, and energy use) in the industrial sector of India. To investigate the factor's productivity, a trans-log production function was applied; however, ridge regression was used to analyze the various parameters to check the multicollinearity issue. The results show that (1) the analyzed inputs are optimistic and return-to-scale averages of 1.18, 1.41, and 1.24 between labor, capital, and energy, respectively, are increasing; (2) the pairs substitution between labor–industrial energy utilization and capital–industrial energy consumption is found to be 0.96 and 0.98, respectively, on average, indicating that capital, labor, and energy are good substitutes that need more attention in the production process; and (3) the technological progress between factors ranges from −0.4 to 0.02, in which labor–energy and capital–energy utilizations provide quicker outcomes than a capital–labor utilization. Finally, the industrial sector can attain maximum productivity if capital and skilled labor are improved under the sustainable development goals, as energy and capital are optimized for maximum efficiency. Finally, energy substitution and low-carbon technological efforts can be better suited for attaining dual-carbon goals in the industrial sector.
{"title":"Fuel substitution possibilities, factor productivity, and technological progress in the industrial sector of India","authors":"M. Raza, Boqiang Lin, Qasim Javed","doi":"10.3389/fsuep.2024.1351785","DOIUrl":"https://doi.org/10.3389/fsuep.2024.1351785","url":null,"abstract":"India is often referred to as the next development superpower, and generally, becoming a large-scale industrialization center is seen as an achievable goal for the country. This article investigates the output elasticity, substitution elasticity, and technological advancement between the various factors (i.e., labor, capital, and energy use) in the industrial sector of India. To investigate the factor's productivity, a trans-log production function was applied; however, ridge regression was used to analyze the various parameters to check the multicollinearity issue. The results show that (1) the analyzed inputs are optimistic and return-to-scale averages of 1.18, 1.41, and 1.24 between labor, capital, and energy, respectively, are increasing; (2) the pairs substitution between labor–industrial energy utilization and capital–industrial energy consumption is found to be 0.96 and 0.98, respectively, on average, indicating that capital, labor, and energy are good substitutes that need more attention in the production process; and (3) the technological progress between factors ranges from −0.4 to 0.02, in which labor–energy and capital–energy utilizations provide quicker outcomes than a capital–labor utilization. Finally, the industrial sector can attain maximum productivity if capital and skilled labor are improved under the sustainable development goals, as energy and capital are optimized for maximum efficiency. Finally, energy substitution and low-carbon technological efforts can be better suited for attaining dual-carbon goals in the industrial sector.","PeriodicalId":487719,"journal":{"name":"Frontiers in Sustainable Energy Policy","volume":"44 s153","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141682263","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 : 2024-01-03DOI: 10.3389/fsuep.2023.1271035
Anna Fache, M. Bhat
The demand for electricity is soaring, propelled not only by population and GDP growth but also the pressing effects of climate change. This study seeks to address the uncertainties surrounding future electricity demand by projecting monthly consumption in Florida, USA, taking into account diverse climate scenarios and their potential impacts. Our approach involves utilizing the degree-day method and constructing an energy consumption regression model grounded in historical data. Key variables, including population, employment, GDP, electricity prices, temperature, and daylight hours, are systematically analyzed. This model acts as the fundamental basis for forecasting future electricity needs in residential, commercial, and industrial sectors across the state of Florida up to the year 2050, considering different climate scenarios. Under the Representative Concentration Pathway (RCP) 4.5 scenario, the residential sector foresees a substantial 63% increase in electricity demand from 2001–2019 to 2050. Under the more extreme RCP 8.5 scenario, this surge climbs to 65%. Meanwhile, the commercial and industrial sectors are expected to witness a 47% and 54% upswing in demand under RCP 4.5 and RCP 8.5, respectively. Intriguingly, heightened demand for cooling during scorching summers outweighs the reduced need for heating in winter, particularly in the residential sector. The current renewable energy policies fall short of addressing the impending climate-driven surge in electricity demand. To combat this, our recommendation is the implementation of a Renewable Portfolio Standard, aimed at significantly enhancing the proportion of renewables in Florida's electricity mix. This paper concludes with a set of crucial policy recommendations, imperative for steering a sustainable transition to renewable energy and effectively managing the impacts of extreme heat on people's lives. These recommendations serve as a strategic roadmap for navigating the evolving landscape of electricity demand amidst the complex challenges posed by climate change.
{"title":"Temperature sensitive electricity demand and policy implications for energy transition: a case study of Florida, USA","authors":"Anna Fache, M. Bhat","doi":"10.3389/fsuep.2023.1271035","DOIUrl":"https://doi.org/10.3389/fsuep.2023.1271035","url":null,"abstract":"The demand for electricity is soaring, propelled not only by population and GDP growth but also the pressing effects of climate change. This study seeks to address the uncertainties surrounding future electricity demand by projecting monthly consumption in Florida, USA, taking into account diverse climate scenarios and their potential impacts. Our approach involves utilizing the degree-day method and constructing an energy consumption regression model grounded in historical data. Key variables, including population, employment, GDP, electricity prices, temperature, and daylight hours, are systematically analyzed. This model acts as the fundamental basis for forecasting future electricity needs in residential, commercial, and industrial sectors across the state of Florida up to the year 2050, considering different climate scenarios. Under the Representative Concentration Pathway (RCP) 4.5 scenario, the residential sector foresees a substantial 63% increase in electricity demand from 2001–2019 to 2050. Under the more extreme RCP 8.5 scenario, this surge climbs to 65%. Meanwhile, the commercial and industrial sectors are expected to witness a 47% and 54% upswing in demand under RCP 4.5 and RCP 8.5, respectively. Intriguingly, heightened demand for cooling during scorching summers outweighs the reduced need for heating in winter, particularly in the residential sector. The current renewable energy policies fall short of addressing the impending climate-driven surge in electricity demand. To combat this, our recommendation is the implementation of a Renewable Portfolio Standard, aimed at significantly enhancing the proportion of renewables in Florida's electricity mix. This paper concludes with a set of crucial policy recommendations, imperative for steering a sustainable transition to renewable energy and effectively managing the impacts of extreme heat on people's lives. These recommendations serve as a strategic roadmap for navigating the evolving landscape of electricity demand amidst the complex challenges posed by climate change.","PeriodicalId":487719,"journal":{"name":"Frontiers in Sustainable Energy Policy","volume":"46 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139389043","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 : 2023-12-19DOI: 10.3389/fsuep.2023.1304673
Rebecca M. Entress, Kelly A. Stevens
Power outages from extreme weather events can diminish community resilience, making it difficult for the areas impacted to bounce back after such events. For socially vulnerable populations, the frequency and duration of power outages can be even more severe. Governments have an obligation to protect public values, or those values that are most fundamental to society, which includes equitable resilience. Using Jørgensen and Bozeman's inventory of public values, this manuscript explores how power outages from extreme weather events create public values failures. More specifically, the manuscript evaluates intraorganizational aspects of public administration during power outages in Florida during Hurricane Ian in 2022. Framing power outages as a public values failure may motivate greater time and effort toward improving equitable access to more resilient power systems.
{"title":"Public values failure associated with Hurricane Ian power outages","authors":"Rebecca M. Entress, Kelly A. Stevens","doi":"10.3389/fsuep.2023.1304673","DOIUrl":"https://doi.org/10.3389/fsuep.2023.1304673","url":null,"abstract":"Power outages from extreme weather events can diminish community resilience, making it difficult for the areas impacted to bounce back after such events. For socially vulnerable populations, the frequency and duration of power outages can be even more severe. Governments have an obligation to protect public values, or those values that are most fundamental to society, which includes equitable resilience. Using Jørgensen and Bozeman's inventory of public values, this manuscript explores how power outages from extreme weather events create public values failures. More specifically, the manuscript evaluates intraorganizational aspects of public administration during power outages in Florida during Hurricane Ian in 2022. Framing power outages as a public values failure may motivate greater time and effort toward improving equitable access to more resilient power systems.","PeriodicalId":487719,"journal":{"name":"Frontiers in Sustainable Energy Policy","volume":" 38","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138961432","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 : 2023-12-15DOI: 10.3389/fsuep.2023.1230253
Dalia Mominkhan, Fahad A. Alamri, Manea Balharith, Muaddi Alharbi, Ahmed Alshebli, Sara Y. Alshareef, Abdulhemaid Khairaldain, Najla Almutairi, Abdulaziz Abusit, Yasir Almuzaini, Ahmed A. Alahmari, Mohammed K. Alabdulaali
Over 98% of the world's greenhouse gas emissions in 2014 came from carbon dioxide (CO2), methane, and nitrous oxide. Over one century, CO2 emissions increased from 3.09 to 37.12 billion metric tons. The healthcare sector is one of the major sources of greenhouse gas emissions. The carbon footprint of a country's healthcare system is influenced by its domestic economy, healthcare expenditure, and energy system. The aim of this study is to present a concise of the present status of carbon emissions within the healthcare sectors on a global scale, as well as the forthcoming endeavors to mitigate these emissions. A narrative review of studies on climate change, carbon emissions, and greenhouse gases in the healthcare sector was conducted using Medline PubMed, Web of Science, Scopus and Google Scholar databases from 2005 to April 2023. According to the data, several countries emit more carbon per capita than others. The Conference of the Parties on Climate Change (COP26) recently encompassed extensive efforts culminating in releasing initiatives toward zero-carbon healthcare sectors. Efforts in some medical practices, smart technology to save energy, digital health, artificial intelligence technology, and monitoring have contributed to reducing carbon emissions. In conclusion, the healthcare sector with zero carbon emissions must be sustainable, adaptable, and efficient while delivering safe, high-quality care. Addressing the sector's carbon footprint requires innovative strategies, a multisector approach, health professionals' participation, community engagement, and regular monitoring of emissions and performance indicators to ensure patient service quality and low carbon emissions in the healthcare sector.
{"title":"The current state and potential evolution of carbon emissions in the healthcare sector: a narrative review article","authors":"Dalia Mominkhan, Fahad A. Alamri, Manea Balharith, Muaddi Alharbi, Ahmed Alshebli, Sara Y. Alshareef, Abdulhemaid Khairaldain, Najla Almutairi, Abdulaziz Abusit, Yasir Almuzaini, Ahmed A. Alahmari, Mohammed K. Alabdulaali","doi":"10.3389/fsuep.2023.1230253","DOIUrl":"https://doi.org/10.3389/fsuep.2023.1230253","url":null,"abstract":"Over 98% of the world's greenhouse gas emissions in 2014 came from carbon dioxide (CO2), methane, and nitrous oxide. Over one century, CO2 emissions increased from 3.09 to 37.12 billion metric tons. The healthcare sector is one of the major sources of greenhouse gas emissions. The carbon footprint of a country's healthcare system is influenced by its domestic economy, healthcare expenditure, and energy system. The aim of this study is to present a concise of the present status of carbon emissions within the healthcare sectors on a global scale, as well as the forthcoming endeavors to mitigate these emissions. A narrative review of studies on climate change, carbon emissions, and greenhouse gases in the healthcare sector was conducted using Medline PubMed, Web of Science, Scopus and Google Scholar databases from 2005 to April 2023. According to the data, several countries emit more carbon per capita than others. The Conference of the Parties on Climate Change (COP26) recently encompassed extensive efforts culminating in releasing initiatives toward zero-carbon healthcare sectors. Efforts in some medical practices, smart technology to save energy, digital health, artificial intelligence technology, and monitoring have contributed to reducing carbon emissions. In conclusion, the healthcare sector with zero carbon emissions must be sustainable, adaptable, and efficient while delivering safe, high-quality care. Addressing the sector's carbon footprint requires innovative strategies, a multisector approach, health professionals' participation, community engagement, and regular monitoring of emissions and performance indicators to ensure patient service quality and low carbon emissions in the healthcare sector.","PeriodicalId":487719,"journal":{"name":"Frontiers in Sustainable Energy Policy","volume":"71 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139000208","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 : 2023-10-09DOI: 10.3389/fsuep.2023.1271301
Parth Vaishnav
Quantitative analyses may aim to provide actionable answers to policy questions and to generate tools or insights for decision-making. Given the deep uncertainties involved in any realistic reckoning of policy questions, this study argues that only the second of these goals is achievable. Here, this argument is illustrated by considering analyses of how the electrification of an activity changes the damage from the air pollution emissions that occur because of that activity. The sources of uncertainty in such an analysis include the long life of the technologies being studied. Consequently, the structure and operation of the electricity grid might change because of the new technology and independent of it. Analysts must make subjective choices about what to include in their analysis and what to exclude. For example, policies modeled in isolation may, in reality, be bundled with other policies; interactions between technologies may be missed if the analysis focuses on only one technology; and certain benefits or costs may be neglected because they lie outside the scope of the analysis and the expertise of the analyst. Quantitative policy analysis must aim to be part of the broader discussions in society that ultimately determine what policies get implemented.
{"title":"How can quantitative policy analysis inform the energy transition? The case of electrification","authors":"Parth Vaishnav","doi":"10.3389/fsuep.2023.1271301","DOIUrl":"https://doi.org/10.3389/fsuep.2023.1271301","url":null,"abstract":"Quantitative analyses may aim to provide actionable answers to policy questions and to generate tools or insights for decision-making. Given the deep uncertainties involved in any realistic reckoning of policy questions, this study argues that only the second of these goals is achievable. Here, this argument is illustrated by considering analyses of how the electrification of an activity changes the damage from the air pollution emissions that occur because of that activity. The sources of uncertainty in such an analysis include the long life of the technologies being studied. Consequently, the structure and operation of the electricity grid might change because of the new technology and independent of it. Analysts must make subjective choices about what to include in their analysis and what to exclude. For example, policies modeled in isolation may, in reality, be bundled with other policies; interactions between technologies may be missed if the analysis focuses on only one technology; and certain benefits or costs may be neglected because they lie outside the scope of the analysis and the expertise of the analyst. Quantitative policy analysis must aim to be part of the broader discussions in society that ultimately determine what policies get implemented.","PeriodicalId":487719,"journal":{"name":"Frontiers in Sustainable Energy Policy","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135095704","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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