Pub Date : 2023-06-30DOI: 10.52131/jee.2023.0401.0033
Zeesha Tahir
Over the last few decades, the contribution of CO2 emissions to the environment has shown an increasing trend. The greenhouse gases increase the temperature of the environment globally and particularly in Pakistan. History is witness that the activities of humans mostly affect the environment. The goal of this study is to explore the link between variables such as Trade, FDI (Foreign Direct Investment), REC (Renewable Energy Consumption), EPC (Electricity Power Consumption), Economic Growth, Urban Population, and Carbon Emissions inside Pakistan over the time period of 1990 to 2022. The Auto Regressive Distributed Lag (ARDL) technique is utilized for estimation. The result shows that the long-run relationship exists between these variables. The REC, Economic Growth, and FDI significantly affect CO2 emissions, while the remaining variables have insignificant effects on carbon emissions. Moreover, based on the findings of this study recommends that the government adopt strict policies and strategies to overcome climate problems and control pollution.
{"title":"Impact of Electricity Power Consumption, GDP, Trade, Urban Population, Foreign Direct Investment and Renewable Energy Consumption on CO2 Emissions: Evidence from Pakistan","authors":"Zeesha Tahir","doi":"10.52131/jee.2023.0401.0033","DOIUrl":"https://doi.org/10.52131/jee.2023.0401.0033","url":null,"abstract":"Over the last few decades, the contribution of CO2 emissions to the environment has shown an increasing trend. The greenhouse gases increase the temperature of the environment globally and particularly in Pakistan. History is witness that the activities of humans mostly affect the environment. The goal of this study is to explore the link between variables such as Trade, FDI (Foreign Direct Investment), REC (Renewable Energy Consumption), EPC (Electricity Power Consumption), Economic Growth, Urban Population, and Carbon Emissions inside Pakistan over the time period of 1990 to 2022. The Auto Regressive Distributed Lag (ARDL) technique is utilized for estimation. The result shows that the long-run relationship exists between these variables. The REC, Economic Growth, and FDI significantly affect CO2 emissions, while the remaining variables have insignificant effects on carbon emissions. Moreover, based on the findings of this study recommends that the government adopt strict policies and strategies to overcome climate problems and control pollution.","PeriodicalId":240042,"journal":{"name":"iRASD Journal of Energy & Environment","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115173656","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 : 2023-06-30DOI: 10.52131/jee.2023.0401.0032
Sidra Mehfooz, M. Mansha, Majid Khan, Sabbah Musharaf
Climate change has an impact on human health, and it is generally known that environmental degradation and climate change are related. The utilization of fossil fuels results in more CO2 emissions into the atmosphere, a greenhouse gas that dramatically raises global temperatures. By replacing oxygen in the atmosphere, CO2 emissions have an impact on human health. While CO2 emissions hurt human health, sometimes economic expansion has a favorable impact on public health and vice versa. Using the Autoregressive Distributive Lag model (ARDL) and annual time series data from 1985 to 2020, this study aims to investigate the relationship between CO2 emissions, health spending, and economic growth in Pakistan. The empirical findings of this study demonstrate a substantial long-run and short-run relationship. To use technologies that cause emissions, the government must increase its investment in renewable energy sources and implement carbon taxes.
{"title":"CO2 Emissions, Health Expenditures, and Economic Growth Nexus in Pakistan","authors":"Sidra Mehfooz, M. Mansha, Majid Khan, Sabbah Musharaf","doi":"10.52131/jee.2023.0401.0032","DOIUrl":"https://doi.org/10.52131/jee.2023.0401.0032","url":null,"abstract":"Climate change has an impact on human health, and it is generally known that environmental degradation and climate change are related. The utilization of fossil fuels results in more CO2 emissions into the atmosphere, a greenhouse gas that dramatically raises global temperatures. By replacing oxygen in the atmosphere, CO2 emissions have an impact on human health. While CO2 emissions hurt human health, sometimes economic expansion has a favorable impact on public health and vice versa. Using the Autoregressive Distributive Lag model (ARDL) and annual time series data from 1985 to 2020, this study aims to investigate the relationship between CO2 emissions, health spending, and economic growth in Pakistan. The empirical findings of this study demonstrate a substantial long-run and short-run relationship. To use technologies that cause emissions, the government must increase its investment in renewable energy sources and implement carbon taxes.","PeriodicalId":240042,"journal":{"name":"iRASD Journal of Energy & Environment","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121185253","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 : 2023-06-30DOI: 10.52131/jee.2023.0401.0031
S. Ali, Salman Khalid
Based on the Environmental Kuznets Curve (EKC) theory, this research seeks to probe the impact of nuclear and renewable energy on carbon emissions in Pakistan. In order to analyze Pakistan's cointegration from 1990 to 2022, this study uses the ARDL technique. The findings provided empirical support for the Environmental Kuznets Curve (EKC) theory and demonstrated that the use of nuclear and renewable energy resources is linked to lower carbon dioxide (CO2) over the long term. Carbon dioxide emissions from burning fossil fuels, which are used for most of the world's energy needs, have been steadily rising in recent years. Policymakers recognize this and are working to reduce reliance on nonrenewable energy sources while increasing nuclear and renewable energy use.
{"title":"How Do Nuclear and Renewable Energy Effects the Environment? A Case Study of Pakistan","authors":"S. Ali, Salman Khalid","doi":"10.52131/jee.2023.0401.0031","DOIUrl":"https://doi.org/10.52131/jee.2023.0401.0031","url":null,"abstract":"Based on the Environmental Kuznets Curve (EKC) theory, this research seeks to probe the impact of nuclear and renewable energy on carbon emissions in Pakistan. In order to analyze Pakistan's cointegration from 1990 to 2022, this study uses the ARDL technique. The findings provided empirical support for the Environmental Kuznets Curve (EKC) theory and demonstrated that the use of nuclear and renewable energy resources is linked to lower carbon dioxide (CO2) over the long term. Carbon dioxide emissions from burning fossil fuels, which are used for most of the world's energy needs, have been steadily rising in recent years. Policymakers recognize this and are working to reduce reliance on nonrenewable energy sources while increasing nuclear and renewable energy use.","PeriodicalId":240042,"journal":{"name":"iRASD Journal of Energy & Environment","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127056668","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 : 2023-06-30DOI: 10.52131/jee.2023.0401.0034
T. Ahmad, K. Kiran, Amina Alamgir
The study explores clean cooking fuel poverty in Bangladeshi households based on the energy ladder hypothesis stating that as income increases, households switch towards cleaner cooking fuels. Data from the Bangladesh Demographic and Household Survey (BDHS) 2017-18 reveals that 20.45% of households use advanced or cleaner cooking fuels, while a majority (79.23%) still rely on primitive or traditional cooking fuels. Electricity is used by a very small percentage (0.57%), while LPG is used by a slightly higher proportion (6.96%). Biogas usage is minimal (0.11%), and a small percentage (0.03%) still relies on kerosene. Wood is the dominant fuel (46.25%), and other minor sources include charcoal (0.10%), straw/shrubs/grass (0.63%), agricultural crop residues (25.96%), and animal dung (6.39%). The results reveal that only a small proportion of households (20.45%) are classified as "clean cooking fuel non-poor," indicating a limited adoption of cleaner cooking technologies in Bangladesh. Further analysis indicates a gradual increase in clean cooking fuel usage as wealth status improves. Only 0.25% of the poorest households use clean fuels, while the percentage increases to 0.68% in the "poorer" category, 3.92% in the "middle" wealth category, and 24.51% in the "richer" category. Among the wealthiest households, 70.64% use clean cooking fuels. The study highlights the urgent need for policymakers in Bangladesh to address clean cooking fuel poverty by implementing measures like subsidies, awareness campaigns, and infrastructure development to promote cleaner cooking technologies, thereby improving public health and environmental sustainability.
{"title":"Households’ Clean Cooking Fuel Poverty: Testing the Energy-Ladder Hypothesis in the Case of Bangladesh","authors":"T. Ahmad, K. Kiran, Amina Alamgir","doi":"10.52131/jee.2023.0401.0034","DOIUrl":"https://doi.org/10.52131/jee.2023.0401.0034","url":null,"abstract":"The study explores clean cooking fuel poverty in Bangladeshi households based on the energy ladder hypothesis stating that as income increases, households switch towards cleaner cooking fuels. Data from the Bangladesh Demographic and Household Survey (BDHS) 2017-18 reveals that 20.45% of households use advanced or cleaner cooking fuels, while a majority (79.23%) still rely on primitive or traditional cooking fuels. Electricity is used by a very small percentage (0.57%), while LPG is used by a slightly higher proportion (6.96%). Biogas usage is minimal (0.11%), and a small percentage (0.03%) still relies on kerosene. Wood is the dominant fuel (46.25%), and other minor sources include charcoal (0.10%), straw/shrubs/grass (0.63%), agricultural crop residues (25.96%), and animal dung (6.39%). The results reveal that only a small proportion of households (20.45%) are classified as \"clean cooking fuel non-poor,\" indicating a limited adoption of cleaner cooking technologies in Bangladesh. Further analysis indicates a gradual increase in clean cooking fuel usage as wealth status improves. Only 0.25% of the poorest households use clean fuels, while the percentage increases to 0.68% in the \"poorer\" category, 3.92% in the \"middle\" wealth category, and 24.51% in the \"richer\" category. Among the wealthiest households, 70.64% use clean cooking fuels. The study highlights the urgent need for policymakers in Bangladesh to address clean cooking fuel poverty by implementing measures like subsidies, awareness campaigns, and infrastructure development to promote cleaner cooking technologies, thereby improving public health and environmental sustainability.","PeriodicalId":240042,"journal":{"name":"iRASD Journal of Energy & Environment","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132817960","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 : 2022-12-30DOI: 10.52131/jee.2022.0302.0030
Sajjad Hussain, Waseem Yousaf
Environmental degradation (ED) is now a global problem because of expanded economic activities. This issue demands the academics’ and policymakers' intentions. Hence, the paper conducts an investigation the impact of renewable energy (RE) output, consumption, and energy import (EI) on the carbon dioxide (CO2) emissions in ASEAN region. The secondary data was collected using World Development Indicators (WDI) for 2008-2021. The research also investigates the association between the variables using the Methods of Moments-Quantile-Regression (MMQR) approach. The outcomes indicated the RE output, consumption, EI, EG, and population growth on the CO2 emissions in ASEAN economies. The paper gives directions to the policymakers while forming policies related to reduce CO2 emissions using RE production.
{"title":"The Role of Renewable Energy on the Environmental Degradation: Evidence from ASEAN Countries","authors":"Sajjad Hussain, Waseem Yousaf","doi":"10.52131/jee.2022.0302.0030","DOIUrl":"https://doi.org/10.52131/jee.2022.0302.0030","url":null,"abstract":"Environmental degradation (ED) is now a global problem because of expanded economic activities. This issue demands the academics’ and policymakers' intentions. Hence, the paper conducts an investigation the impact of renewable energy (RE) output, consumption, and energy import (EI) on the carbon dioxide (CO2) emissions in ASEAN region. The secondary data was collected using World Development Indicators (WDI) for 2008-2021. The research also investigates the association between the variables using the Methods of Moments-Quantile-Regression (MMQR) approach. The outcomes indicated the RE output, consumption, EI, EG, and population growth on the CO2 emissions in ASEAN economies. The paper gives directions to the policymakers while forming policies related to reduce CO2 emissions using RE production.","PeriodicalId":240042,"journal":{"name":"iRASD Journal of Energy & Environment","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121046715","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 : 2022-11-30DOI: 10.52131/jee.2022.0302.0029
T. Ahmad, M. Bhatti, Komal Urooj, Hira Javed
Pakistan is the world’s 5th most populated country. This growing population is causing numerous social and environmental problems. By the increase in population, energy demand is increasing day by day. Pakistan, where majority of the population is living in rural areas is using uncleaned cooking fuel due to which CO2 emission is increasing that is further a cause of environmental degradation. Based on the data (for the period from 1980 to 2019) of World Development Indicators, this study intends to examine the association between urban population, and energy use with CO2 emission. Unit root test was applied to check stationarity of data and after checking the stationarity status of variables, ARDL (Auto regressive distributive lag model) techniques was applied on data. The outcomes of the study showed that trade openness, urbanization, and energy consumption have significant and positive effects on environmental degradation. This study suggest that government must plan population and take steps towards the use of clean cooking fuels to control environmental degradation.
巴基斯坦是世界第五大人口大国。不断增长的人口造成了许多社会和环境问题。由于人口的增加，对能源的需求日益增加。巴基斯坦的大多数人口生活在农村地区，由于使用未清洁的烹饪燃料，二氧化碳排放量正在增加，这进一步造成了环境退化。基于世界发展指标(World Development Indicators) 1980 - 2019年的数据，本研究旨在探讨城市人口、能源使用与二氧化碳排放之间的关系。采用单位根检验检验数据的平稳性，在检验变量的平稳性状态后，对数据采用ARDL (Auto regressive distribudistribution lag model)技术。研究结果表明，贸易开放、城市化和能源消费对环境退化具有显著的正向影响。这项研究建议政府必须规划人口，并采取措施使用清洁的烹饪燃料来控制环境恶化。
{"title":"Urban Population Growth, Per Capita Energy Use, and CO2 Emissions: Evidence from the World's fifth-most Populous Country","authors":"T. Ahmad, M. Bhatti, Komal Urooj, Hira Javed","doi":"10.52131/jee.2022.0302.0029","DOIUrl":"https://doi.org/10.52131/jee.2022.0302.0029","url":null,"abstract":"Pakistan is the world’s 5th most populated country. This growing population is causing numerous social and environmental problems. By the increase in population, energy demand is increasing day by day. Pakistan, where majority of the population is living in rural areas is using uncleaned cooking fuel due to which CO2 emission is increasing that is further a cause of environmental degradation. Based on the data (for the period from 1980 to 2019) of World Development Indicators, this study intends to examine the association between urban population, and energy use with CO2 emission. Unit root test was applied to check stationarity of data and after checking the stationarity status of variables, ARDL (Auto regressive distributive lag model) techniques was applied on data. The outcomes of the study showed that trade openness, urbanization, and energy consumption have significant and positive effects on environmental degradation. This study suggest that government must plan population and take steps towards the use of clean cooking fuels to control environmental degradation.","PeriodicalId":240042,"journal":{"name":"iRASD Journal of Energy & Environment","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127142145","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 : 2022-11-21DOI: 10.52131/jee.2022.0302.0028
M. Alam, K. F. Rahman, Md. Soybur Rahman
Dhaka is the capital city of Bangladesh. Many people are migrating day by day. For their survival, the housing sector is being flourished day by day. The demand impacts the supplies. A number of people are doing housing business to support the situation, but on the contrary, they are grabbing a lot of green fields or water bodies from private properties and evacuating the owners. One of the ill examples is the Eastern Housing Pallabi 2nd Phase Project. The study aims to find the socio-economic status of the land owners and local inhabitants evicted from their land for the project. Concurring to the essential perception and data collected from diverse sources, roughly 350 families are migrated. Of The 45 relocated people placed under survey from the questionnaire survey by snowball sampling, it was found that most people were discovered to have been physically relocated from their original location. The income level, housing situation, and utility infrastructure are poorer than before the resettlement. They are too unaware of taking action against the developer for the deprivation in the land price. The research revealed various facets that shed light on how land developers abused the local population. Land developers, local oligarchs, local politicians, and locals were the four characters who actively participated in this relocation process and played various roles. A few scopes are identified to rehabilitate the victims to recover from their present situation. Government should adequately care about the reallocated people to compensate at the present rate considering the long period of suffering. There is scope for more intensive study on the topic.
{"title":"Environmental Impacts of Real Estate Project at Pallabi Eastern Housing Area in Dhaka City, Bangladesh","authors":"M. Alam, K. F. Rahman, Md. Soybur Rahman","doi":"10.52131/jee.2022.0302.0028","DOIUrl":"https://doi.org/10.52131/jee.2022.0302.0028","url":null,"abstract":"Dhaka is the capital city of Bangladesh. Many people are migrating day by day. For their survival, the housing sector is being flourished day by day. The demand impacts the supplies. A number of people are doing housing business to support the situation, but on the contrary, they are grabbing a lot of green fields or water bodies from private properties and evacuating the owners. One of the ill examples is the Eastern Housing Pallabi 2nd Phase Project. The study aims to find the socio-economic status of the land owners and local inhabitants evicted from their land for the project. Concurring to the essential perception and data collected from diverse sources, roughly 350 families are migrated. Of The 45 relocated people placed under survey from the questionnaire survey by snowball sampling, it was found that most people were discovered to have been physically relocated from their original location. The income level, housing situation, and utility infrastructure are poorer than before the resettlement. They are too unaware of taking action against the developer for the deprivation in the land price. The research revealed various facets that shed light on how land developers abused the local population. Land developers, local oligarchs, local politicians, and locals were the four characters who actively participated in this relocation process and played various roles. A few scopes are identified to rehabilitate the victims to recover from their present situation. Government should adequately care about the reallocated people to compensate at the present rate considering the long period of suffering. There is scope for more intensive study on the topic.","PeriodicalId":240042,"journal":{"name":"iRASD Journal of Energy & Environment","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131312978","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 : 2022-11-15DOI: 10.52131/jee.2022.0302.0027
A. Abubakar, Kiman Silas, M. M. Aji, U. Taura, J. Undiandeye
Kinetic study of microorganism’s growth in chicken manure (CM) when producing biogas is often studied for scale-up purposes. CM are considered as waste, and can cause serious environmental consequences when not properly disposed. The objective of the study is to know the characteristics of the bioreactor condition or environment responsible for CM degradation and biogas production. Methods involves serial dilution, pour plating, cell count and the determination of Monod parameters. POLYMATH regression results shows that CM of particle density 0.0163 g/cm3 gives a maximum specific growth rate, ?_max of 0.007316 hr^(-1) and half saturation constant, K_s of 3.8×?10?^8mg/l which points to substrate sufficiency for the survival of microorganisms and biogas production.
{"title":"Microbial Growth Rate Kinetics in Biogas Production by Anaerobic Digestion of Chicken Manure","authors":"A. Abubakar, Kiman Silas, M. M. Aji, U. Taura, J. Undiandeye","doi":"10.52131/jee.2022.0302.0027","DOIUrl":"https://doi.org/10.52131/jee.2022.0302.0027","url":null,"abstract":"Kinetic study of microorganism’s growth in chicken manure (CM) when producing biogas is often studied for scale-up purposes. CM are considered as waste, and can cause serious environmental consequences when not properly disposed. The objective of the study is to know the characteristics of the bioreactor condition or environment responsible for CM degradation and biogas production. Methods involves serial dilution, pour plating, cell count and the determination of Monod parameters. POLYMATH regression results shows that CM of particle density 0.0163 g/cm3 gives a maximum specific growth rate, ?_max of 0.007316 hr^(-1) and half saturation constant, K_s of 3.8×?10?^8mg/l which points to substrate sufficiency for the survival of microorganisms and biogas production.","PeriodicalId":240042,"journal":{"name":"iRASD Journal of Energy & Environment","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124241372","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 : 2022-11-12DOI: 10.52131/jee.2022.0302.0026
Saddamul Islam, M. Tarique
Energy insufficiency is disturbing the improvement of Bangladesh. Since the sun light is not available always and the breeze does not blow constantly, solar and wind power alone are weaker power sources. Coupling solar as well as wind power sources along with storage batteries making up the full duration of time in the absence of wind or sun light supplies a pragmatic shape of power generation. In Bangladesh, breeze is not available most of the places. Only in the coastal areas, wind is sufficient to produce electricity. However, sunlight is available all over the year here. Although solar and wind alone power station has installed here but solar-wind cascading power station has not been installed yet.
{"title":"The Implementation of Solar-Wind Cascading Power Station in Bangladesh","authors":"Saddamul Islam, M. Tarique","doi":"10.52131/jee.2022.0302.0026","DOIUrl":"https://doi.org/10.52131/jee.2022.0302.0026","url":null,"abstract":"Energy insufficiency is disturbing the improvement of Bangladesh. Since the sun light is not available always and the breeze does not blow constantly, solar and wind power alone are weaker power sources. Coupling solar as well as wind power sources along with storage batteries making up the full duration of time in the absence of wind or sun light supplies a pragmatic shape of power generation. In Bangladesh, breeze is not available most of the places. Only in the coastal areas, wind is sufficient to produce electricity. However, sunlight is available all over the year here. Although solar and wind alone power station has installed here but solar-wind cascading power station has not been installed yet.","PeriodicalId":240042,"journal":{"name":"iRASD Journal of Energy & Environment","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129157137","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 : 2022-06-30DOI: 10.52131/jee.2022.0301.0025
Komal Urooj, M. A. Zafar
Economic Growth is a prominent factor to affect the energy consumption of Pakistan. This study tends to explore the influence of GDP growth of sectoral growth, agricultural, industrial and service sector on the level of energy consumption fossil fuel in Pakistan from 1990 to 2019 long period of time. The data was obtained from WDI (World Development Indicators). ARDL (Auto Regressive Distributive Lag Model) econometric model was designed to look into the impacts of fossil fuel or energy consumption on Pakistan’s economic growth in both the short-run and long-run. Results revealed negative impacts of energy consumption or the use of fossil fuel on industry, personal expenditures, and exports of goods and positively affect agriculture and services and model is significant. These results showed that that economic expansion plays important role to increase energy consumption of Pakistan.
{"title":"Sectoral Growth, Exports, and Energy Consumption: A Case of Pakistan","authors":"Komal Urooj, M. A. Zafar","doi":"10.52131/jee.2022.0301.0025","DOIUrl":"https://doi.org/10.52131/jee.2022.0301.0025","url":null,"abstract":"Economic Growth is a prominent factor to affect the energy consumption of Pakistan. This study tends to explore the influence of GDP growth of sectoral growth, agricultural, industrial and service sector on the level of energy consumption fossil fuel in Pakistan from 1990 to 2019 long period of time. The data was obtained from WDI (World Development Indicators). ARDL (Auto Regressive Distributive Lag Model) econometric model was designed to look into the impacts of fossil fuel or energy consumption on Pakistan’s economic growth in both the short-run and long-run. Results revealed negative impacts of energy consumption or the use of fossil fuel on industry, personal expenditures, and exports of goods and positively affect agriculture and services and model is significant. These results showed that that economic expansion plays important role to increase energy consumption of Pakistan.","PeriodicalId":240042,"journal":{"name":"iRASD Journal of Energy & Environment","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121171852","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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