Mustafa Naimoglu, İsmail Kavaz, Ahmed Ihsan Simsek
{"title":"外国直接投资、经济一体化、工业化和经济增长对能源强度的影响:印度案例","authors":"Mustafa Naimoglu, İsmail Kavaz, Ahmed Ihsan Simsek","doi":"10.1007/s41685-024-00329-7","DOIUrl":null,"url":null,"abstract":"<div><p>India is a developing market economy that comprised over 18% of the global population in 2020 and showed a 1.29% share of world GDP (Gross Domestic Product) in 1990. In addition, 3.20% of global energy consumption belonged to India in 1990. By 2020, India’s share of the world GDP was 3.08%, increasing its GDP by almost 3 times. However, energy usage increased by less than 2 times with a share of 6.25% in the world’s total energy consumption. Therefore, India managed to decrease its energy intensity per capita level by 64.35% in 2020 compared to 1990 by using less energy even with an increased income. In this context, this study investigated the question of how the Indian economy reduced its energy intensity for the period between 1990 and 2020. The impacts of GDP per capita, economic integration, foreign direct investments (FDI) and industrialization on energy intensity were analyzed using annual data from 1990 to 2020. First, the standard Augmented Dickey–Fuller Test (ADF) and Fourier ADF test methods were used to determine stationarity of the series. Then Fourier Autoregressive Distributed Lag (ADL) and Fourier Engle–Granger tests, recently introduced in the literature, were used to examine the cointegration relationships because all of the series were stable after subtracting the first differences. The results indicated a cointegration link between the variables. According to the empirical evidence obtained from FMOLS/CCR (DOLS) analysis, an increase of 1% in economic growth and foreign direct investment over the long run led to a decrease in energy intensity of approximately 1.08%/1.12% (1.14%) and 0.01%/0.001% (0.05%), respectively. Additionally, the results from FMOLS/CCR (DOLS) analysis indicated that a 1% rise in industrialization and trade openness in the long term resulted in an increase in energy intensity of approximately 0.25%/0.13% (0.39%) and 0.15%/0.18% (0.21%), respectively. Finally, fully modified ordinary least squares (FMOLS), Charnes, Cooper and Rhodes Model (CCR), and Stock-Watson Dynamic Ordinary Least Squares (DOLS) estimators were used for short and long-term coefficient estimations. Therefore, we conclude based on these findings that economic growth and foreign capital decrease energy intensity over the long term, while industrialization and economic integration increase energy intensity.</p></div>","PeriodicalId":36164,"journal":{"name":"Asia-Pacific Journal of Regional Science","volume":"8 1","pages":"333 - 354"},"PeriodicalIF":1.9000,"publicationDate":"2024-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Effects of foreign direct investment, economic integration, industrialization and economic growth on energy intensity: case of India\",\"authors\":\"Mustafa Naimoglu, İsmail Kavaz, Ahmed Ihsan Simsek\",\"doi\":\"10.1007/s41685-024-00329-7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>India is a developing market economy that comprised over 18% of the global population in 2020 and showed a 1.29% share of world GDP (Gross Domestic Product) in 1990. In addition, 3.20% of global energy consumption belonged to India in 1990. By 2020, India’s share of the world GDP was 3.08%, increasing its GDP by almost 3 times. However, energy usage increased by less than 2 times with a share of 6.25% in the world’s total energy consumption. Therefore, India managed to decrease its energy intensity per capita level by 64.35% in 2020 compared to 1990 by using less energy even with an increased income. In this context, this study investigated the question of how the Indian economy reduced its energy intensity for the period between 1990 and 2020. The impacts of GDP per capita, economic integration, foreign direct investments (FDI) and industrialization on energy intensity were analyzed using annual data from 1990 to 2020. First, the standard Augmented Dickey–Fuller Test (ADF) and Fourier ADF test methods were used to determine stationarity of the series. Then Fourier Autoregressive Distributed Lag (ADL) and Fourier Engle–Granger tests, recently introduced in the literature, were used to examine the cointegration relationships because all of the series were stable after subtracting the first differences. The results indicated a cointegration link between the variables. According to the empirical evidence obtained from FMOLS/CCR (DOLS) analysis, an increase of 1% in economic growth and foreign direct investment over the long run led to a decrease in energy intensity of approximately 1.08%/1.12% (1.14%) and 0.01%/0.001% (0.05%), respectively. Additionally, the results from FMOLS/CCR (DOLS) analysis indicated that a 1% rise in industrialization and trade openness in the long term resulted in an increase in energy intensity of approximately 0.25%/0.13% (0.39%) and 0.15%/0.18% (0.21%), respectively. Finally, fully modified ordinary least squares (FMOLS), Charnes, Cooper and Rhodes Model (CCR), and Stock-Watson Dynamic Ordinary Least Squares (DOLS) estimators were used for short and long-term coefficient estimations. Therefore, we conclude based on these findings that economic growth and foreign capital decrease energy intensity over the long term, while industrialization and economic integration increase energy intensity.</p></div>\",\"PeriodicalId\":36164,\"journal\":{\"name\":\"Asia-Pacific Journal of Regional Science\",\"volume\":\"8 1\",\"pages\":\"333 - 354\"},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2024-02-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Asia-Pacific Journal of Regional Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s41685-024-00329-7\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Asia-Pacific Journal of Regional Science","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.1007/s41685-024-00329-7","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECONOMICS","Score":null,"Total":0}
Effects of foreign direct investment, economic integration, industrialization and economic growth on energy intensity: case of India
India is a developing market economy that comprised over 18% of the global population in 2020 and showed a 1.29% share of world GDP (Gross Domestic Product) in 1990. In addition, 3.20% of global energy consumption belonged to India in 1990. By 2020, India’s share of the world GDP was 3.08%, increasing its GDP by almost 3 times. However, energy usage increased by less than 2 times with a share of 6.25% in the world’s total energy consumption. Therefore, India managed to decrease its energy intensity per capita level by 64.35% in 2020 compared to 1990 by using less energy even with an increased income. In this context, this study investigated the question of how the Indian economy reduced its energy intensity for the period between 1990 and 2020. The impacts of GDP per capita, economic integration, foreign direct investments (FDI) and industrialization on energy intensity were analyzed using annual data from 1990 to 2020. First, the standard Augmented Dickey–Fuller Test (ADF) and Fourier ADF test methods were used to determine stationarity of the series. Then Fourier Autoregressive Distributed Lag (ADL) and Fourier Engle–Granger tests, recently introduced in the literature, were used to examine the cointegration relationships because all of the series were stable after subtracting the first differences. The results indicated a cointegration link between the variables. According to the empirical evidence obtained from FMOLS/CCR (DOLS) analysis, an increase of 1% in economic growth and foreign direct investment over the long run led to a decrease in energy intensity of approximately 1.08%/1.12% (1.14%) and 0.01%/0.001% (0.05%), respectively. Additionally, the results from FMOLS/CCR (DOLS) analysis indicated that a 1% rise in industrialization and trade openness in the long term resulted in an increase in energy intensity of approximately 0.25%/0.13% (0.39%) and 0.15%/0.18% (0.21%), respectively. Finally, fully modified ordinary least squares (FMOLS), Charnes, Cooper and Rhodes Model (CCR), and Stock-Watson Dynamic Ordinary Least Squares (DOLS) estimators were used for short and long-term coefficient estimations. Therefore, we conclude based on these findings that economic growth and foreign capital decrease energy intensity over the long term, while industrialization and economic integration increase energy intensity.
期刊介绍:
The Asia-Pacific Journal of Regional Science expands the frontiers of regional science through the diffusion of intrinsically developed and advanced modern, regional science methodologies throughout the Asia-Pacific region. Articles published in the journal foster progress and development of regional science through the promotion of comprehensive and interdisciplinary academic studies in relationship to research in regional science across the globe. The journal’s scope includes articles dedicated to theoretical economics, positive economics including econometrics and statistical analysis and input–output analysis, CGE, Simulation, applied economics including international economics, regional economics, industrial organization, analysis of governance and institutional issues, law and economics, migration and labor markets, spatial economics, land economics, urban economics, agricultural economics, environmental economics, behavioral economics and spatial analysis with GIS/RS data education economics, sociology including urban sociology, rural sociology, environmental sociology and educational sociology, as well as traffic engineering. The journal provides a unique platform for its research community to further develop, analyze, and resolve urgent regional and urban issues in Asia, and to further refine established research around the world in this multidisciplinary field. The journal invites original articles, proposals, and book reviews.The Asia-Pacific Journal of Regional Science is a new English-language journal that spun out of Chiikigakukenkyuu, which has a 45-year history of publishing the best Japanese research in regional science in the Japanese language and, more recently and more frequently, in English. The development of regional science as an international discipline has necessitated the need for a new publication in English. The Asia-Pacific Journal of Regional Science is a publishing vehicle for English-language contributions to the field in Japan, across the complete Asia-Pacific arena, and beyond.Content published in this journal is peer reviewed (Double Blind).