In this study, the influence of various factors on CO2 emissions in Uzbekistan during the period 1992-2020 was studied. The study examines the effect of forest area, urban population growth, renewable energy consumption, fossil fuel energy consumption, per capita energy consumption and industrial activity on observed CO2 emissions. Data were analyzed using multivariate linear regression, the D'Agostino skewness test, and the Anscombe-Glynn kurtosis tests. The results show that forest area has a significant negative correlation with CO2 emissions, suggesting that increased forest cover helps reduce emissions. Urban population growth shows a positive correlation with CO2 emissions, emphasizing the need for sustainable urbanization practices. Renewable energy consumption has been found to have a negative impact on emissions, promoting the adoption of clean energy sources. Fossil fuel energy consumption reveals a complex relationship, with different fuels contributing differently to emissions. Per capita energy consumption and industrial activity contribute significantly to emissions, requiring the adoption of energy-efficient technologies and sustainable industrial practices.
{"title":"Analysis of Factors Affecting CO2 Emissions: In the Case of Uzbekistan","authors":"Xolmurotov Fozil Saribayevich, Xolmuratov Xolilla Sariyevich, Sukhrob Davlatov, Hulkar Turobova, Sobirjon Ruziyev","doi":"10.32479/ijeep.16193","DOIUrl":"https://doi.org/10.32479/ijeep.16193","url":null,"abstract":"In this study, the influence of various factors on CO2 emissions in Uzbekistan during the period 1992-2020 was studied. The study examines the effect of forest area, urban population growth, renewable energy consumption, fossil fuel energy consumption, per capita energy consumption and industrial activity on observed CO2 emissions. Data were analyzed using multivariate linear regression, the D'Agostino skewness test, and the Anscombe-Glynn kurtosis tests. The results show that forest area has a significant negative correlation with CO2 emissions, suggesting that increased forest cover helps reduce emissions. Urban population growth shows a positive correlation with CO2 emissions, emphasizing the need for sustainable urbanization practices. Renewable energy consumption has been found to have a negative impact on emissions, promoting the adoption of clean energy sources. Fossil fuel energy consumption reveals a complex relationship, with different fuels contributing differently to emissions. Per capita energy consumption and industrial activity contribute significantly to emissions, requiring the adoption of energy-efficient technologies and sustainable industrial practices.","PeriodicalId":38194,"journal":{"name":"International Journal of Energy Economics and Policy","volume":" 27","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141675713","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}
This paper attempts to investigate the relationship between blue economic activities, renewable energy and the ecological footprint in the MENA region from 2000 to 2022. The study utilizes the STRIPAT model, thus, the methodology involves multiple econometric techniques such as cointegration tests, quantile via moment, threshold regression and panel Granger causality test. Estimates confirm a significant negative impact of renewable energy consumption and innovations on the ecological footprint, while the effect of the total fisheries production, GDP per capita as well as urban population growth on the ecological footprint is positive and consistent across the study period. The findings reveal the role of extensive economic activities, extensive seas and oceans activities and urbanization as major drivers of environmental damages and the subsequent increase in ecological footprints. Therefore, by promoting sustainable practices and renewable energy utilization, MENA countries can effectively mitigate their ecological footprints and contribute to global climate change mitigation efforts. The study also emphasizes on the significance of sustainable practices and the need for comprehensive policy measures to mitigate the ecological footprint and promote a more environmentally conscious society.
{"title":"Nexus between Blue Economy, Renewable Energy and Environmental Sustainability in the MENA Region: Evidence from Panel Threshold Regression","authors":"Marwa A. Elsherif","doi":"10.32479/ijeep.16125","DOIUrl":"https://doi.org/10.32479/ijeep.16125","url":null,"abstract":"\u0000This paper attempts to investigate the relationship between blue economic activities, renewable energy and the ecological footprint in the MENA region from 2000 to 2022. The study utilizes the STRIPAT model, thus, the methodology involves multiple econometric techniques such as cointegration tests, quantile via moment, threshold regression and panel Granger causality test. Estimates confirm a significant negative impact of renewable energy consumption and innovations on the ecological footprint, while the effect of the total fisheries production, GDP per capita as well as urban population growth on the ecological footprint is positive and consistent across the study period. The findings reveal the role of extensive economic activities, extensive seas and oceans activities and urbanization as major drivers of environmental damages and the subsequent increase in ecological footprints. Therefore, by promoting sustainable practices and renewable energy utilization, MENA countries can effectively mitigate their ecological footprints and contribute to global climate change mitigation efforts. The study also emphasizes on the significance of sustainable practices and the need for comprehensive policy measures to mitigate the ecological footprint and promote a more environmentally conscious society. \u0000","PeriodicalId":38194,"journal":{"name":"International Journal of Energy Economics and Policy","volume":" 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141673784","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}
M. Khurshid, Muhammad Azeem, Nisar Ahmad, J. U. Rehman, Sajjad Umar
The study evaluates the nexus among oil prices, macro-economic indicators and stock returns of three Asian emerging oil-importing and three Asian emerging oil-exporting economies over a period from 2014 to 2019 on monthly observations. The study has made use of measure of association by applying VAR methodology. The results of the study indicate that oil prices movements have substantial impact on stock market trends whereas, the said impact varies depending upon the inherited macroeconomic condition of county. As regarding the oil-exporting countries the movement of oil prices is also equally important for the stock market behavior.
本研究评估了 2014 年至 2019 年期间三个亚洲新兴石油进口经济体和三个亚洲新兴石油出口经济体的石油价格、宏观经济指标和股票回报率之间的关系，并按月进行了观测。研究采用了 VAR 方法来衡量关联性。研究结果表明，石油价格走势对股市趋势有重大影响，而上述影响因国家的宏观经济状况而异。至于石油出口国，石油价格的变动对股市行为也同样重要。
{"title":"Diaspora of Energy: A Case of Oil Production and Consumption","authors":"M. Khurshid, Muhammad Azeem, Nisar Ahmad, J. U. Rehman, Sajjad Umar","doi":"10.32479/ijeep.15376","DOIUrl":"https://doi.org/10.32479/ijeep.15376","url":null,"abstract":"The study evaluates the nexus among oil prices, macro-economic indicators and stock returns of three Asian emerging oil-importing and three Asian emerging oil-exporting economies over a period from 2014 to 2019 on monthly observations. The study has made use of measure of association by applying VAR methodology. The results of the study indicate that oil prices movements have substantial impact on stock market trends whereas, the said impact varies depending upon the inherited macroeconomic condition of county. As regarding the oil-exporting countries the movement of oil prices is also equally important for the stock market behavior.","PeriodicalId":38194,"journal":{"name":"International Journal of Energy Economics and Policy","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":"141675456","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}
Fida Muhammad, Abdul Qayyum, A. A. Bawazir, Meer Jan, Nazeer Ahmed
The energy sector plays a crucial role in boosting economic growth and improving the standard of living in Pakistan. However, the extensive use of energy from different sources, such as hydel, nuclear, and thermal energy, has resulted in significant impacts on environmental degradation and negative health impacts for local communities. The study examined the tri-dimensional nexus between different types of energy use, economic growth, and environmental degradation in Pakistan using the ARDL regression model with data spanning from 1972 to 2021. The empirical findings show that overall energy consumption, including hydro, nuclear, and thermal energy, has a positive and significant impact on economic growth in both the short and long term. This suggests that energy consumption is the main driver of economic growth, emphasizing the need for a sufficient supply of energy to meet the economy's needs. On the environmental front, the study lends support to the existence of the EKC hypothesis in the context of Pakistan. However, in the long run, biocapacity in terms of forest products has a positive effect, whereas hydro, nuclear, and thermal energy have a negative effect on environmental quality. But in the short run, nuclear and hydroelectric energy have a positive but insignificant effect on ecological footprints. These findings suggest the need for Pakistan to focus on reducing the use non-renewable energy and promoting the use of cleaner energy sources to mitigate environmental impacts. This study also highlights the importance of policymakers considering the environmental consequences of energy and growth when making decisions in Pakistan.
{"title":"Assessing the Tri-Dimensional Nexus of Energy, Environment, and Economic Growth in Pakistan: An Empirical Study","authors":"Fida Muhammad, Abdul Qayyum, A. A. Bawazir, Meer Jan, Nazeer Ahmed","doi":"10.32479/ijeep.16128","DOIUrl":"https://doi.org/10.32479/ijeep.16128","url":null,"abstract":"The energy sector plays a crucial role in boosting economic growth and improving the standard of living in Pakistan. However, the extensive use of energy from different sources, such as hydel, nuclear, and thermal energy, has resulted in significant impacts on environmental degradation and negative health impacts for local communities. The study examined the tri-dimensional nexus between different types of energy use, economic growth, and environmental degradation in Pakistan using the ARDL regression model with data spanning from 1972 to 2021. The empirical findings show that overall energy consumption, including hydro, nuclear, and thermal energy, has a positive and significant impact on economic growth in both the short and long term. This suggests that energy consumption is the main driver of economic growth, emphasizing the need for a sufficient supply of energy to meet the economy's needs. On the environmental front, the study lends support to the existence of the EKC hypothesis in the context of Pakistan. However, in the long run, biocapacity in terms of forest products has a positive effect, whereas hydro, nuclear, and thermal energy have a negative effect on environmental quality. But in the short run, nuclear and hydroelectric energy have a positive but insignificant effect on ecological footprints. These findings suggest the need for Pakistan to focus on reducing the use non-renewable energy and promoting the use of cleaner energy sources to mitigate environmental impacts. This study also highlights the importance of policymakers considering the environmental consequences of energy and growth when making decisions in Pakistan.","PeriodicalId":38194,"journal":{"name":"International Journal of Energy Economics and Policy","volume":" 33","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141675801","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}
Tri Wahyu Adi, Edy Susanto, Ade Caswito, R. S. Yuwono, Tarwaji Warsokusumo, A. Y. A. Nugroho
This study aims to examine the Influence of Fossil Fuel Prices on Fossil and Renewable Electricity Consumption, GDP, Inflation and Greenflation. This research is explanatory. The empirical analysis uses time-series data of Fossil Fuel Price, Fossil Electricity Consumption, Renewable Electricity Consumption, Inflation Rate and GDP in Asia Pacific Countries in the period 2016 – 2021. The inferential statistical method used to analyse this study is component-based using SmartPLS 4.0.9.6. The results of this study, find that fossil fuel price has a negative significant effect on fossil electricity consumption and a significant negative effect on renewable electricity consumption. Fossil electricity consumption has a significant negative effect on GDP and a negative insignificant effect on Inflation. Renewable electricity consumption has a positive significant effect on GDP and an insignificant negative effect on inflation (Greenflation). The novelty of this study is to examine how Fossil fuel prices have an effect on renewable electricity consumption and its impact on GDP and greenflation analysis using SmartPLS 4.0.9.6.
{"title":"Influence of Fossil Fuel Prices on Fossil and Renewable Electricity Consumptions, GDP, Inflation and Greenflation: A Case Study in the Asia Pacific Countries","authors":"Tri Wahyu Adi, Edy Susanto, Ade Caswito, R. S. Yuwono, Tarwaji Warsokusumo, A. Y. A. Nugroho","doi":"10.32479/ijeep.15966","DOIUrl":"https://doi.org/10.32479/ijeep.15966","url":null,"abstract":"This study aims to examine the Influence of Fossil Fuel Prices on Fossil and Renewable Electricity Consumption, GDP, Inflation and Greenflation. This research is explanatory. The empirical analysis uses time-series data of Fossil Fuel Price, Fossil Electricity Consumption, Renewable Electricity Consumption, Inflation Rate and GDP in Asia Pacific Countries in the period 2016 – 2021. The inferential statistical method used to analyse this study is component-based using SmartPLS 4.0.9.6. The results of this study, find that fossil fuel price has a negative significant effect on fossil electricity consumption and a significant negative effect on renewable electricity consumption. Fossil electricity consumption has a significant negative effect on GDP and a negative insignificant effect on Inflation. Renewable electricity consumption has a positive significant effect on GDP and an insignificant negative effect on inflation (Greenflation). The novelty of this study is to examine how Fossil fuel prices have an effect on renewable electricity consumption and its impact on GDP and greenflation analysis using SmartPLS 4.0.9.6.","PeriodicalId":38194,"journal":{"name":"International Journal of Energy Economics and Policy","volume":" 41","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141673211","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}
Amro Alzghoul, Amineh A. Khaddam, Omar Al_kasasbeh
This is major research on the three constructs of intention to use energy resources efficiently and environmental consciousness, as well as, how they collectively interact towards environmental performance in the context of HR sustainability initiatives. The study, using quantitative analysis data collected from different organizations, how these factors collectively influence sustainable outcomes. The analysis results strongly support the proposed hypotheses since the moderating effects from environmental consciousness and energy efficiency intentions further strengthen the relationship between HR sustainability and environmental performance. They complement HR practices that seek to intensify awareness of environmental protection and the efficient use of energy within organizations. These findings shed light on the synergistic effects of HR sustainability initiatives combined with a "green" workforce keen on energy efficiency, providing an abundance of opportunities for global environmental performance improvement. It adds perspective to the current debate about how values-based HR practices contribute to organizational sustainability and offers insight to those organizational practitioners considering this course of action. This research delves into what an amalgamated approach for organizational sustainability might look like, given the combined positive effects of sustainable HR practices, environmental consciousness, and efficient energy use in driving enhanced environmental outcomes.
{"title":"The Interplay among HR Sustainability Initiatives, Intention to use of Energy Resources, Environmental Consciousness, and Environmental Performance","authors":"Amro Alzghoul, Amineh A. Khaddam, Omar Al_kasasbeh","doi":"10.32479/ijeep.15959","DOIUrl":"https://doi.org/10.32479/ijeep.15959","url":null,"abstract":"This is major research on the three constructs of intention to use energy resources efficiently and environmental consciousness, as well as, how they collectively interact towards environmental performance in the context of HR sustainability initiatives. The study, using quantitative analysis data collected from different organizations, how these factors collectively influence sustainable outcomes. The analysis results strongly support the proposed hypotheses since the moderating effects from environmental consciousness and energy efficiency intentions further strengthen the relationship between HR sustainability and environmental performance. They complement HR practices that seek to intensify awareness of environmental protection and the efficient use of energy within organizations. These findings shed light on the synergistic effects of HR sustainability initiatives combined with a \"green\" workforce keen on energy efficiency, providing an abundance of opportunities for global environmental performance improvement. It adds perspective to the current debate about how values-based HR practices contribute to organizational sustainability and offers insight to those organizational practitioners considering this course of action. This research delves into what an amalgamated approach for organizational sustainability might look like, given the combined positive effects of sustainable HR practices, environmental consciousness, and efficient energy use in driving enhanced environmental outcomes.","PeriodicalId":38194,"journal":{"name":"International Journal of Energy Economics and Policy","volume":" 13","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141676884","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}
The purpose of this paper is to study the response of aggregate and sectoral employment in the United States to shocks and uncertainties in the oil and macro markets. To estimate the actual dataset, we employ a VAR model with 12 variables using U.S. data during 1986Q1-2021Q4. With alternative oil and macroeconomic uncertainties and different monetary authorities, we find that employment is significantly affected by both types of uncertainty when zero lower bound (ZLB) binds. Total employment and oil-related industries employment show a significant increase in the presence of the ZLB and the propagation of uncertainty shock from the oil market. These findings highlight the empirical relevance of oil prices and macroeconomic uncertainty on U.S. labor market dynamics.
本文旨在研究美国总就业和部门就业对石油和宏观市场的冲击和不确定性的反应。为了估算实际数据集，我们使用 1986Q1-2021Q4 期间的美国数据，建立了一个包含 12 个变量的 VAR 模型。在不同的石油和宏观经济不确定性以及不同的货币当局的作用下，我们发现当零下限（ZLB）约束时，就业会受到这两种不确定性的显著影响。总就业人数和石油相关行业就业人数在零下限和石油市场不确定性冲击传播的情况下都会出现大幅增长。这些发现凸显了油价和宏观经济不确定性对美国劳动力市场动态的实证相关性。
{"title":"Uncertainties, Employment and the Zero Lower Bound","authors":"Qing Nie, Xin L. Brown, Baohui Liu, Maruf Morshed","doi":"10.32479/ijeep.15752","DOIUrl":"https://doi.org/10.32479/ijeep.15752","url":null,"abstract":"The purpose of this paper is to study the response of aggregate and sectoral employment in the United States to shocks and uncertainties in the oil and macro markets. To estimate the actual dataset, we employ a VAR model with 12 variables using U.S. data during 1986Q1-2021Q4. With alternative oil and macroeconomic uncertainties and different monetary authorities, we find that employment is significantly affected by both types of uncertainty when zero lower bound (ZLB) binds. Total employment and oil-related industries employment show a significant increase in the presence of the ZLB and the propagation of uncertainty shock from the oil market. These findings highlight the empirical relevance of oil prices and macroeconomic uncertainty on U.S. labor market dynamics.","PeriodicalId":38194,"journal":{"name":"International Journal of Energy Economics and Policy","volume":" 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141674313","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}
A. Adow, M. M. Safeer, Rufida Gamr Eldoula Moahmed Ibrahim, M. S. Alam
Awareness of environmental issues and appropriate knowledge about solving them through "scalable acts and behaviours" help engage and contribute to environmental sustainability. Though there exist volumes of literature on green behaviours, there is a lack of literature on what motivates sustainable behaviour. The present study bridges this research gap by identifying green shared vision (GSV) and green value (GV) as antecedents of perceived environmental sustainability. The study is based on data collected from 384 respondents among gainfully employed samples from Saudi Arabia. The study used structural equation modeling (SEM) to analyze the data. The findings show significant positive relationships between the variables, supporting the proposed model. The study has significant implications for sustainability and administrators, suggesting the need to improve strategies related to green behaviour.
{"title":"An Examination of a Few Antecedents of Environmental Sustainability Using Structural Equation Modelling","authors":"A. Adow, M. M. Safeer, Rufida Gamr Eldoula Moahmed Ibrahim, M. S. Alam","doi":"10.32479/ijeep.16099","DOIUrl":"https://doi.org/10.32479/ijeep.16099","url":null,"abstract":"Awareness of environmental issues and appropriate knowledge about solving them through \"scalable acts and behaviours\" help engage and contribute to environmental sustainability. Though there exist volumes of literature on green behaviours, there is a lack of literature on what motivates sustainable behaviour. The present study bridges this research gap by identifying green shared vision (GSV) and green value (GV) as antecedents of perceived environmental sustainability. The study is based on data collected from 384 respondents among gainfully employed samples from Saudi Arabia. The study used structural equation modeling (SEM) to analyze the data. The findings show significant positive relationships between the variables, supporting the proposed model. The study has significant implications for sustainability and administrators, suggesting the need to improve strategies related to green behaviour.","PeriodicalId":38194,"journal":{"name":"International Journal of Energy Economics and Policy","volume":" 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141674889","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}
Burak Gokce, Gizem Kaya, M. O. Kayalica, G. Kayakutlu
Power plants using the renewable energy resources are the plants with low marginal costs, and that is why they are given the priority in electricity supply. Therefore, they have a negative impact on spot markets, reducing the market price of electricity, known as merit-order effect. However, the subsidization made through feed-in tariff (FIT) scheme puts a burden on the retail electricity costs. This paper tries to explain the net cost impact of FIT portfolio which consists of wind, solar, hydropower, geothermal, and biofuel sources used in electricity supply in Turkey. Turkish electricity market 2014-2020 period hourly data is analyzed using multiple linear regression model. The results show that merit-order effect is lower than the FIT cost, so increases the total retail cost during the studied period. Moreover, it is important to assess the foreign currency-based scheme at the end of its life cycle and see whether lessons learnt are applied for the new local currency scheme. Additionally, the effect of renewable sources on the volatility of electricity prices are examined using financial time series methods with a focus on COVID-19 pandemic. The conclusion is renewables increase uncertainty, but COVID-19 has no impact.
使用可再生能源的发电厂是边际成本较低的发电厂，因此在电力供应中享有优先权。因此，它们会对现货市场产生负面影响，降低市场电价，这就是所谓的绩优顺序效应。然而，通过上网电价（FIT）计划提供的补贴对零售电力成本造成了负担。本文试图解释由风能、太阳能、水能、地热能和生物燃料组成的 FIT 组合对土耳其电力供应的净成本影响。本文使用多元线性回归模型分析了土耳其电力市场 2014-2020 年期间的每小时数据。结果显示，绩优阶梯效应低于 FIT 成本，因此增加了研究期间的总零售成本。此外，在以外币为基础的计划生命周期结束时对其进行评估，并了解所吸取的经验教训是否适用于新的本地货币计划，这一点非常重要。此外，还使用金融时间序列方法研究了可再生能源对电价波动的影响，重点是 COVID-19 大流行病。结论是可再生能源增加了不确定性，但 COVID-19 没有影响。
{"title":"Impact of Renewable Energy Resources on the Turkish Power Market","authors":"Burak Gokce, Gizem Kaya, M. O. Kayalica, G. Kayakutlu","doi":"10.32479/ijeep.16204","DOIUrl":"https://doi.org/10.32479/ijeep.16204","url":null,"abstract":"Power plants using the renewable energy resources are the plants with low marginal costs, and that is why they are given the priority in electricity supply. Therefore, they have a negative impact on spot markets, reducing the market price of electricity, known as merit-order effect. However, the subsidization made through feed-in tariff (FIT) scheme puts a burden on the retail electricity costs. This paper tries to explain the net cost impact of FIT portfolio which consists of wind, solar, hydropower, geothermal, and biofuel sources used in electricity supply in Turkey. Turkish electricity market 2014-2020 period hourly data is analyzed using multiple linear regression model. The results show that merit-order effect is lower than the FIT cost, so increases the total retail cost during the studied period. Moreover, it is important to assess the foreign currency-based scheme at the end of its life cycle and see whether lessons learnt are applied for the new local currency scheme. Additionally, the effect of renewable sources on the volatility of electricity prices are examined using financial time series methods with a focus on COVID-19 pandemic. The conclusion is renewables increase uncertainty, but COVID-19 has no impact.","PeriodicalId":38194,"journal":{"name":"International Journal of Energy Economics and Policy","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":"141675749","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}
In this paper, we re-examine the relationship between oil price volatility and trade balance in oil exporting countries; namely GCC countries over the period 1989-2021. The empirical analysis employs a comparative approach, comparing the results obtained from a panel autoregressive distributed lag (ARDL) model with those from a nonlinear ARDL (NARDL) model. This research contributes to the literature by shedding light on the intricate linkages between energy markets and trade performance in major oil-exporting countries. The motivation stems from the importance of assessing how fluctuations in oil prices, a crucial factor for oil-exporting economies, affect their trade balance dynamics. Our empirical results depict that trade balances of GCC countries respond asymmetrically to changes in oil price although the positive oil price impacts showed greater effects on trade balance as opposed to the negative ones in the short run, the effect was reversed in the medium to long run. The findings reveal that the NARDL model provides a better fit to the data and offers richer insights into the relationship between oil price volatility and trade balances in the GCC region. Specifically, the empirical results indicate that positive oil price volatility has a greater effect on trade balances compared to negative volatility, and the speed of adjustment to equilibrium is faster in the NARDL model results. This asymmetric effect, with positive shocks exhibiting a larger influence, aligns with the expectations for oil-exporting countries. The results from the NARDL model highlight that policymakers need to account for these asymmetries when managing external trade positions in response to oil market fluctuations.
{"title":"Understanding the Nexus between Oil Price Volatility and Trade Balance in GCC Countries: A Comparative Investigation of Panel Linear and Nonlinear ARDL Models","authors":"Ghazi Alassaf","doi":"10.32479/ijeep.16180","DOIUrl":"https://doi.org/10.32479/ijeep.16180","url":null,"abstract":"\u0000\u0000\u0000In this paper, we re-examine the relationship between oil price volatility and trade balance in oil exporting countries; namely GCC countries over the period 1989-2021. The empirical analysis employs a comparative approach, comparing the results obtained from a panel autoregressive distributed lag (ARDL) model with those from a nonlinear ARDL (NARDL) model. This research contributes to the literature by shedding light on the intricate linkages between energy markets and trade performance in major oil-exporting countries. The motivation stems from the importance of assessing how fluctuations in oil prices, a crucial factor for oil-exporting economies, affect their trade balance dynamics. Our empirical results depict that trade balances of GCC countries respond asymmetrically to changes in oil price although the positive oil price impacts showed greater effects on trade balance as opposed to the negative ones in the short run, the effect was reversed in the medium to long run. The findings reveal that the NARDL model provides a better fit to the data and offers richer insights into the relationship between oil price volatility and trade balances in the GCC region. Specifically, the empirical results indicate that positive oil price volatility has a greater effect on trade balances compared to negative volatility, and the speed of adjustment to equilibrium is faster in the NARDL model results. This asymmetric effect, with positive shocks exhibiting a larger influence, aligns with the expectations for oil-exporting countries. The results from the NARDL model highlight that policymakers need to account for these asymmetries when managing external trade positions in response to oil market fluctuations.\u0000\u0000\u0000","PeriodicalId":38194,"journal":{"name":"International Journal of Energy Economics and Policy","volume":" 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141676539","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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