Pub Date : 2022-12-31DOI: 10.1080/15567249.2021.1966134
S. Ratner, A. Berezin, B. Sergi
ABSTRACT This study evaluates the productivity of energy efficiency (EE) measures taken at the regional level employing a set of non-parametric statistical methods. The first aspect is investigating the impact of various energy efficiency measures. A high proportion of the population lives in apartment buildings, with limited opportunities to manage their own energy efficiency. The second research aspect of this paper is the study of the effectiveness of various energy efficiency measures in the context of low energy prices. Our analysis indicates that only two tools exert a long-term positive effect on reducing the economy’s energy intensity for all regions. This is the use of combined heat sources in large cities and implementing ISO 50001 in large companies. These two energy efficiency measures work even under low energy prices, which do not sufficiently stimulate the introduction of innovative energy-saving technologies.
{"title":"Energy efficiency improvements under conditions of low energy prices: the evidence from Russian regions","authors":"S. Ratner, A. Berezin, B. Sergi","doi":"10.1080/15567249.2021.1966134","DOIUrl":"https://doi.org/10.1080/15567249.2021.1966134","url":null,"abstract":"ABSTRACT This study evaluates the productivity of energy efficiency (EE) measures taken at the regional level employing a set of non-parametric statistical methods. The first aspect is investigating the impact of various energy efficiency measures. A high proportion of the population lives in apartment buildings, with limited opportunities to manage their own energy efficiency. The second research aspect of this paper is the study of the effectiveness of various energy efficiency measures in the context of low energy prices. Our analysis indicates that only two tools exert a long-term positive effect on reducing the economy’s energy intensity for all regions. This is the use of combined heat sources in large cities and implementing ISO 50001 in large companies. These two energy efficiency measures work even under low energy prices, which do not sufficiently stimulate the introduction of innovative energy-saving technologies.","PeriodicalId":51247,"journal":{"name":"Energy Sources Part B-Economics Planning and Policy","volume":"66 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89357897","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-31DOI: 10.1080/15567249.2022.2052209
Yunus Emre İci̇k, M. Atak
ABSTRACT Turkey’s natural gas hub development has been under the spotlight recently as its long-term gas supply contracts expire between 2021 and 2026. This study is an effort to investigate end-user prices and shippers’ behaviors in the natural gas hub development process through four noncooperative game models representing different maturity levels of the Turkish gas market. These models, comprising mixed complementarity problems, are solved by GAMS software using the Turkish gas market’s data. Our findings suggest that although increasing hub maturity yields decreasing end-user prices owing to the availability of more supply options and enhanced competition, a shift from long-term contracts to spot trading may result in an increase in the end-user prices due to strategic withholding by importers. Our models are pioneering as they are the first to depict the Turkish gas market with regard to shippers’ behaviors.
{"title":"An analysis on Turkey’s natural gas hub development through a game-theoretic model application","authors":"Yunus Emre İci̇k, M. Atak","doi":"10.1080/15567249.2022.2052209","DOIUrl":"https://doi.org/10.1080/15567249.2022.2052209","url":null,"abstract":"ABSTRACT Turkey’s natural gas hub development has been under the spotlight recently as its long-term gas supply contracts expire between 2021 and 2026. This study is an effort to investigate end-user prices and shippers’ behaviors in the natural gas hub development process through four noncooperative game models representing different maturity levels of the Turkish gas market. These models, comprising mixed complementarity problems, are solved by GAMS software using the Turkish gas market’s data. Our findings suggest that although increasing hub maturity yields decreasing end-user prices owing to the availability of more supply options and enhanced competition, a shift from long-term contracts to spot trading may result in an increase in the end-user prices due to strategic withholding by importers. Our models are pioneering as they are the first to depict the Turkish gas market with regard to shippers’ behaviors.","PeriodicalId":51247,"journal":{"name":"Energy Sources Part B-Economics Planning and Policy","volume":"70 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89383923","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-28DOI: 10.1080/15567249.2022.2160525
Daniel Davi-Arderius, Moisés Obaco, R. Alvarado
ABSTRACT Ecuador is a developing South American country that has highly subsidized liquid petroleum gas (LPG) since 1974. Between 2015 and 2020, LPG subsidies amounted to 260 M USD annually. In 2014, the Ecuadorean government implemented a clean cooking program, to encourage the replacement of LPG with electricity, mainly through induction stoves. However, the engagement rate in this program was lower than initially expected. This work investigates the socioeconomic and sociodemographic determinants of using various cooking technologies in Ecuador, including induction stoves. We use official Ecuadorian household surveys from 2015 to 2017 to gather information on gender, age, marital status, educational level, ethnicity, income family, family size, urban area, and province of residence. We then perform two econometric analyses, one using a probit model to study the determinants of having an induction stove, and the other employing a multilogit model to investigate the sociodemographic characteristics associated with the use of different cooking technologies, namely LPG, firewood, and electricity. Our results indicate that non-married individuals, Indigenous people, the poor, and those living in rooms or apartments with poor housing conditions show the lowest likelihood of having an induction stove. Moreover, the most disadvantaged groups still prefer firewood instead of the highly subsidized LPG barrels. We also find important differences across provinces. Our results give rise to several policy recommendations. Clean cooking programs should have a more regional approach and consider specific subsidies for the most disadvantaged groups. Moreover, the successful implementation of clean cooking programs may require the implementation of specific social programs targeting households that still use firewood. Otherwise, these clean cooking programs may become regressive and only benefit the wealthier households.
{"title":"Household Socioeconomic Determinants of Clean Cooking Program in Ecuador","authors":"Daniel Davi-Arderius, Moisés Obaco, R. Alvarado","doi":"10.1080/15567249.2022.2160525","DOIUrl":"https://doi.org/10.1080/15567249.2022.2160525","url":null,"abstract":"ABSTRACT Ecuador is a developing South American country that has highly subsidized liquid petroleum gas (LPG) since 1974. Between 2015 and 2020, LPG subsidies amounted to 260 M USD annually. In 2014, the Ecuadorean government implemented a clean cooking program, to encourage the replacement of LPG with electricity, mainly through induction stoves. However, the engagement rate in this program was lower than initially expected. This work investigates the socioeconomic and sociodemographic determinants of using various cooking technologies in Ecuador, including induction stoves. We use official Ecuadorian household surveys from 2015 to 2017 to gather information on gender, age, marital status, educational level, ethnicity, income family, family size, urban area, and province of residence. We then perform two econometric analyses, one using a probit model to study the determinants of having an induction stove, and the other employing a multilogit model to investigate the sociodemographic characteristics associated with the use of different cooking technologies, namely LPG, firewood, and electricity. Our results indicate that non-married individuals, Indigenous people, the poor, and those living in rooms or apartments with poor housing conditions show the lowest likelihood of having an induction stove. Moreover, the most disadvantaged groups still prefer firewood instead of the highly subsidized LPG barrels. We also find important differences across provinces. Our results give rise to several policy recommendations. Clean cooking programs should have a more regional approach and consider specific subsidies for the most disadvantaged groups. Moreover, the successful implementation of clean cooking programs may require the implementation of specific social programs targeting households that still use firewood. Otherwise, these clean cooking programs may become regressive and only benefit the wealthier households.","PeriodicalId":51247,"journal":{"name":"Energy Sources Part B-Economics Planning and Policy","volume":"PP 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2022-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84543456","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-27DOI: 10.1080/15567249.2022.2160524
Valeria Chávez, Juan Francisco Bárcenas, M. L. Martínez, E. Mateos, Adán Zúñiga-Ríos, Mayrene Guimarais, Astrid Wojtarowski, Rosario Landgrave, Carlos Humberto Ceballos Canché, Rodolfo Silva
ABSTRACT Increasing demand for electricity and the need for sustainable energy sources, make ocean energy a viable alternative for its generation in coastal regions. In this study, wave, marine currents and thermal gradient resources were evaluated to identify potential sites for energy harvesting in the Mexican Caribbean. From a techno-economic review of the literature, a marine current turbine from Nova Innovation 100 kW, an OWC (350 kW), and an OTEC (1 MW) plant were considered, examining theoretical energy potentials and the LCOE of each. A potential environmental impact assessment was also carried out, including a study of the regulatory framework and the socio-economic conditions in the region. The results show that energy harvesting from the sources analyzed is viable, especially in the north of the area, where most of the sites that fit the proposed criteria were found, e.g. Cancun for wave energy (power availability of 45.6 MWh/m/yr) and current energy (power availability of 4.4 MWh/m2yr), and the east coast of Cozumel for OTEC deployment (power availability of 1.69 GWh/km2/yr). Of the three harvesting technologies studied, the best LCOE obtained was for OTEC (862.2 US$/MWh) with a capacity factor of 0.965%. This was expected, given that the technologies analyzed for current and wave energy are not efficient for the resource conditions in the Mexican Caribbean.
{"title":"Potential sites for the use of ocean energy in the Mexican Caribbean","authors":"Valeria Chávez, Juan Francisco Bárcenas, M. L. Martínez, E. Mateos, Adán Zúñiga-Ríos, Mayrene Guimarais, Astrid Wojtarowski, Rosario Landgrave, Carlos Humberto Ceballos Canché, Rodolfo Silva","doi":"10.1080/15567249.2022.2160524","DOIUrl":"https://doi.org/10.1080/15567249.2022.2160524","url":null,"abstract":"ABSTRACT Increasing demand for electricity and the need for sustainable energy sources, make ocean energy a viable alternative for its generation in coastal regions. In this study, wave, marine currents and thermal gradient resources were evaluated to identify potential sites for energy harvesting in the Mexican Caribbean. From a techno-economic review of the literature, a marine current turbine from Nova Innovation 100 kW, an OWC (350 kW), and an OTEC (1 MW) plant were considered, examining theoretical energy potentials and the LCOE of each. A potential environmental impact assessment was also carried out, including a study of the regulatory framework and the socio-economic conditions in the region. The results show that energy harvesting from the sources analyzed is viable, especially in the north of the area, where most of the sites that fit the proposed criteria were found, e.g. Cancun for wave energy (power availability of 45.6 MWh/m/yr) and current energy (power availability of 4.4 MWh/m2yr), and the east coast of Cozumel for OTEC deployment (power availability of 1.69 GWh/km2/yr). Of the three harvesting technologies studied, the best LCOE obtained was for OTEC (862.2 US$/MWh) with a capacity factor of 0.965%. This was expected, given that the technologies analyzed for current and wave energy are not efficient for the resource conditions in the Mexican Caribbean.","PeriodicalId":51247,"journal":{"name":"Energy Sources Part B-Economics Planning and Policy","volume":"49 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2022-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72737241","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-23DOI: 10.1080/15567249.2022.2160523
O. Evkaya, Bilgi Yilmaz, Ebru Yüksel Haliloğlu
ABSTRACT Efficient electricity demand planning is crucial for energy market actors. However, it is difficult as a consequence of climate change. We aim at investigating how climate variables (heating and cooling degree days) may affect electricity demand. By examining electricity consumption in various US sectors, we explore this relationship using parametric and non-parametric D-vine quantile regression models that exploits the dependence between covariates and allows sequential covariate selection. The results are compared against the classical linear quantile regression. We find a positive effect of the climatic variables on electricity consumption that is as heating and cooling degree days increase electricity demand rises in all sectors, and cooling need has a greater impact than heating need. Evidence suggests that residential and commercial electricity consumptions are affected the most, while industrial and transport sector consumptions are less sensitive. The D-vine quantile regression performs better than the linear quantile regression for almost all sectors.
{"title":"Sectoral electricity consumption modeling with D-vine quantile regression: The US electricity market case","authors":"O. Evkaya, Bilgi Yilmaz, Ebru Yüksel Haliloğlu","doi":"10.1080/15567249.2022.2160523","DOIUrl":"https://doi.org/10.1080/15567249.2022.2160523","url":null,"abstract":"ABSTRACT Efficient electricity demand planning is crucial for energy market actors. However, it is difficult as a consequence of climate change. We aim at investigating how climate variables (heating and cooling degree days) may affect electricity demand. By examining electricity consumption in various US sectors, we explore this relationship using parametric and non-parametric D-vine quantile regression models that exploits the dependence between covariates and allows sequential covariate selection. The results are compared against the classical linear quantile regression. We find a positive effect of the climatic variables on electricity consumption that is as heating and cooling degree days increase electricity demand rises in all sectors, and cooling need has a greater impact than heating need. Evidence suggests that residential and commercial electricity consumptions are affected the most, while industrial and transport sector consumptions are less sensitive. The D-vine quantile regression performs better than the linear quantile regression for almost all sectors.","PeriodicalId":51247,"journal":{"name":"Energy Sources Part B-Economics Planning and Policy","volume":"104 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85079239","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-15DOI: 10.1080/15567249.2022.2154412
A. Soltanisarvestani, A. Safavi, M. Rahimi
ABSTRACT One of the most important issues related to natural gas is unaccounted for gas. Residential customers constitute a significant percentage of unaccounted for gas. To estimate the amount of unaccounted for gas, it is necessary to compare the amount of consumption estimated by the model with the one recorded by the meter. Thus, the value estimated by the consumption model are of great importance. Initially, a consumption model is developed for each customer using consumption data for the first 12 months and the average monthly ambient outdoor temperature related to the same time period. The models are developed using artificial neural networks and particle swarm optimization algorithm. The estimates made by the models are then compared with the values recorded by the meters. This method is then implemented on some real data (as the study area). The results show the effectiveness of the proposed method.
{"title":"The Detection of Unaccounted for Gas in Residential Natural Gas Customers Using Particle Swarm Optimization-based Neural Networks","authors":"A. Soltanisarvestani, A. Safavi, M. Rahimi","doi":"10.1080/15567249.2022.2154412","DOIUrl":"https://doi.org/10.1080/15567249.2022.2154412","url":null,"abstract":"ABSTRACT One of the most important issues related to natural gas is unaccounted for gas. Residential customers constitute a significant percentage of unaccounted for gas. To estimate the amount of unaccounted for gas, it is necessary to compare the amount of consumption estimated by the model with the one recorded by the meter. Thus, the value estimated by the consumption model are of great importance. Initially, a consumption model is developed for each customer using consumption data for the first 12 months and the average monthly ambient outdoor temperature related to the same time period. The models are developed using artificial neural networks and particle swarm optimization algorithm. The estimates made by the models are then compared with the values recorded by the meters. This method is then implemented on some real data (as the study area). The results show the effectiveness of the proposed method.","PeriodicalId":51247,"journal":{"name":"Energy Sources Part B-Economics Planning and Policy","volume":"123 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75311527","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-07DOI: 10.1080/15567249.2022.2147603
A. Talipova
ABSTRACT The analysis in this paper was performed before the disastrous and unsolicited invasion of Russia to Ukraine. The paper aims to identify if the biggest Russian gas exporter Gazprom used market power to decouple its gas prices from European gas hub benchmarks. The empirical analysis is based on pairwise price convergence between the Russian pipeline and European gas hubs. The main finding shows that Gazprom takes advantage of its market position. The proposed model does not support the company’s claims of pipeline price tightness to liquid European gas hubs, and rather proves fluctuating and unstable price convergence between pipelines and hubs from 2016 to March 2020, right before the COVID-19 pandemic. Notably, a robust and trendy-stable price convergence is observed between the Russian pipeline gas and Brent benchmark. Methodologically, the paper contributes with a modified convergence model compliant with gas market fundamentals and suggests a time-expanding concept missed in previous studies. Ongoing political and European gas market developments of 2022 (during the paper review) support the conclusions.
{"title":"Russian gas in Europe: pipeline and hubs price convergence analysis","authors":"A. Talipova","doi":"10.1080/15567249.2022.2147603","DOIUrl":"https://doi.org/10.1080/15567249.2022.2147603","url":null,"abstract":"ABSTRACT The analysis in this paper was performed before the disastrous and unsolicited invasion of Russia to Ukraine. The paper aims to identify if the biggest Russian gas exporter Gazprom used market power to decouple its gas prices from European gas hub benchmarks. The empirical analysis is based on pairwise price convergence between the Russian pipeline and European gas hubs. The main finding shows that Gazprom takes advantage of its market position. The proposed model does not support the company’s claims of pipeline price tightness to liquid European gas hubs, and rather proves fluctuating and unstable price convergence between pipelines and hubs from 2016 to March 2020, right before the COVID-19 pandemic. Notably, a robust and trendy-stable price convergence is observed between the Russian pipeline gas and Brent benchmark. Methodologically, the paper contributes with a modified convergence model compliant with gas market fundamentals and suggests a time-expanding concept missed in previous studies. Ongoing political and European gas market developments of 2022 (during the paper review) support the conclusions.","PeriodicalId":51247,"journal":{"name":"Energy Sources Part B-Economics Planning and Policy","volume":"1 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2022-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88745305","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-01DOI: 10.1080/15567249.2022.2149901
F. Sharmin, S. Dhakal
ABSTRACT A “Composite Energy Resilience Index (CERI)” was developed with 15 individual indicators. A two-round Delphi technique was used to interview stakeholders to extract key energy resilience issues of Bangladesh based on a conceptual framework from the literature review. A total of 15 indicators were selected from the findings of the Delphi technique and using these indicators, the energy resilience framework for the country was developed. Constructed CERI implies that energy resilience of Bangladesh is critically dependent on a set of affordability, sustainability, and availability issues as well as the qualitative aspects of the energy system management, such as institutional effectiveness, governance, and regulatory quality. It implies important policy implications in terms of developing holistic energy strategies for supporting the economic development aspiration of the country. The findings also suggest that the energy resilience performance under the planned scenario based on the long-term government plans and the business-as-usual scenario is likely to improve the resilience performance by 2030. However, the required improvement might be ambitious considering the low base level and the prevailing geopolitical situation. As such, a systematic approach to energy system resilience is warranted.
{"title":"A composite energy resilience performance indicator for Bangladesh","authors":"F. Sharmin, S. Dhakal","doi":"10.1080/15567249.2022.2149901","DOIUrl":"https://doi.org/10.1080/15567249.2022.2149901","url":null,"abstract":"ABSTRACT A “Composite Energy Resilience Index (CERI)” was developed with 15 individual indicators. A two-round Delphi technique was used to interview stakeholders to extract key energy resilience issues of Bangladesh based on a conceptual framework from the literature review. A total of 15 indicators were selected from the findings of the Delphi technique and using these indicators, the energy resilience framework for the country was developed. Constructed CERI implies that energy resilience of Bangladesh is critically dependent on a set of affordability, sustainability, and availability issues as well as the qualitative aspects of the energy system management, such as institutional effectiveness, governance, and regulatory quality. It implies important policy implications in terms of developing holistic energy strategies for supporting the economic development aspiration of the country. The findings also suggest that the energy resilience performance under the planned scenario based on the long-term government plans and the business-as-usual scenario is likely to improve the resilience performance by 2030. However, the required improvement might be ambitious considering the low base level and the prevailing geopolitical situation. As such, a systematic approach to energy system resilience is warranted.","PeriodicalId":51247,"journal":{"name":"Energy Sources Part B-Economics Planning and Policy","volume":"28 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88744246","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-30DOI: 10.1080/15567249.2022.2148019
A. Kylili, P. Fokaides, Aravella Zachariou, B. Ioannou, Phoebe-Zoe Georgalli, Savvas Vlachos, Myrto Skouroupathi, N. Matak, Ljubomir Majdandzic, Elizabeth Olival, Hugo Vasconcelos, Vittoria Cherchi, D. Groppi, D. Astiaso Garcia, Alkisti Florou, Kostas Komninos, Stelios Procopiou, Thodoris Kouros, Arne Håkon Sandnes, Malene Aaram Vike, May Britt Roald, Lina Vassdal, Salvador Suárez García, Ü. Kask, J. Andrijevskaja, Kerli Kirsimaa
ABSTRACT Under the context of the European Union’s energy and environmental strategy toward its decarbonization by 2050, the green markets of the Member States are growing exponentially. The in-place policies and legislation dynamics change substantially in islands and isolated regions due to geographical constraints, limited availability of local resources, economies of scale constraints, and seasonal employment variabilities. This work focuses on assessing policy and legislative elements related to green growth in eight European islands and isolated regions for developing a comprehensive policy scheme. This is achieved by adopting a five-step methodological approach, analyzing the long-term strategies of those regions, and investigating different parameters and dimensions of four sustainability sectors. The outputs of this analysis indicated that although the regions under study are making significant efforts and taking the necessary measures for greening these sectors, they are still behind in fulfilling their EU energy and environmental obligations.
{"title":"A comprehensive policy framework for the development of green markets in European Islands","authors":"A. Kylili, P. Fokaides, Aravella Zachariou, B. Ioannou, Phoebe-Zoe Georgalli, Savvas Vlachos, Myrto Skouroupathi, N. Matak, Ljubomir Majdandzic, Elizabeth Olival, Hugo Vasconcelos, Vittoria Cherchi, D. Groppi, D. Astiaso Garcia, Alkisti Florou, Kostas Komninos, Stelios Procopiou, Thodoris Kouros, Arne Håkon Sandnes, Malene Aaram Vike, May Britt Roald, Lina Vassdal, Salvador Suárez García, Ü. Kask, J. Andrijevskaja, Kerli Kirsimaa","doi":"10.1080/15567249.2022.2148019","DOIUrl":"https://doi.org/10.1080/15567249.2022.2148019","url":null,"abstract":"ABSTRACT Under the context of the European Union’s energy and environmental strategy toward its decarbonization by 2050, the green markets of the Member States are growing exponentially. The in-place policies and legislation dynamics change substantially in islands and isolated regions due to geographical constraints, limited availability of local resources, economies of scale constraints, and seasonal employment variabilities. This work focuses on assessing policy and legislative elements related to green growth in eight European islands and isolated regions for developing a comprehensive policy scheme. This is achieved by adopting a five-step methodological approach, analyzing the long-term strategies of those regions, and investigating different parameters and dimensions of four sustainability sectors. The outputs of this analysis indicated that although the regions under study are making significant efforts and taking the necessary measures for greening these sectors, they are still behind in fulfilling their EU energy and environmental obligations.","PeriodicalId":51247,"journal":{"name":"Energy Sources Part B-Economics Planning and Policy","volume":"24 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2022-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83832974","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-30DOI: 10.1080/15567249.2022.2147604
Ghassen El Montasser, O. Ben-Salha
ABSTRACT Achieving high economic growth rates has always been the primary objective of emerging economies. While some countries have experienced phenomenal economic success in recent years, there is widespread consensus that economic prosperity has been accompanied by rapid environmental degradation. This research aims to empirically investigate whether the development process in emerging economies were environmentally efficient. The study computes and analyses the energy-environmental super-efficiency scores for 14 leading emerging economies from 1980 to 2019 using the Slack-Based Measure Data Envelopment Analysis with undesirable output. The study also conducts a similarity analysis using the Dynamic Time Warping non-parametric approach, while the Dynamic Time Warping Barycenter Averaging-k-means algorithm is performed to assign economies to different clusters according to their energy-environmental super-efficiency. The findings divulge some divergence regarding the magnitude and evolution over time of super-efficiency scores. Four emerging economies, Brazil, The Philippines, Pakistan, and Vietnam, have been the most efficient, while South Africa recorded the worst scores during the same period. The Dynamic Time Warping path analysis suggests the presence of lead-lag relationships between the super-efficiency scores of China, as the reference economy, and the other economies. Finally, the Dynamic Time Warping Barycenter Averaging-k-means algorithm suggests the presence of four clusters.
{"title":"Super-SBM DEA and DTW-based analysis of the energy-environmental efficiency in emerging economies","authors":"Ghassen El Montasser, O. Ben-Salha","doi":"10.1080/15567249.2022.2147604","DOIUrl":"https://doi.org/10.1080/15567249.2022.2147604","url":null,"abstract":"ABSTRACT Achieving high economic growth rates has always been the primary objective of emerging economies. While some countries have experienced phenomenal economic success in recent years, there is widespread consensus that economic prosperity has been accompanied by rapid environmental degradation. This research aims to empirically investigate whether the development process in emerging economies were environmentally efficient. The study computes and analyses the energy-environmental super-efficiency scores for 14 leading emerging economies from 1980 to 2019 using the Slack-Based Measure Data Envelopment Analysis with undesirable output. The study also conducts a similarity analysis using the Dynamic Time Warping non-parametric approach, while the Dynamic Time Warping Barycenter Averaging-k-means algorithm is performed to assign economies to different clusters according to their energy-environmental super-efficiency. The findings divulge some divergence regarding the magnitude and evolution over time of super-efficiency scores. Four emerging economies, Brazil, The Philippines, Pakistan, and Vietnam, have been the most efficient, while South Africa recorded the worst scores during the same period. The Dynamic Time Warping path analysis suggests the presence of lead-lag relationships between the super-efficiency scores of China, as the reference economy, and the other economies. Finally, the Dynamic Time Warping Barycenter Averaging-k-means algorithm suggests the presence of four clusters.","PeriodicalId":51247,"journal":{"name":"Energy Sources Part B-Economics Planning and Policy","volume":"89 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2022-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79463471","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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