Effects of foreign direct investment, economic integration, industrialization and economic growth on energy intensity: case of India

被引:1
作者
Naimoglu, Mustafa [1 ]
Kavaz, Ismail [2 ]
Simsek, Ahmed Ihsan [2 ]
机构
[1] Bingol Univ, Fac Econ & Adm Sci, Bingol, Turkiye
[2] Firat Univ, Fac Econ & Adm Sci, Business & Adm Dept, TR-23100 Elazig, Turkiye
关键词
Foreign direct investment; Economic integration; Industrialization; Economic growth; Energy intensity; Time series; C32; O11; O13; CHINA; DETERMINANTS; EFFICIENCY; GLOBALIZATION; DRIVES; TRENDS;
D O I
10.1007/s41685-024-00329-7
中图分类号
F [经济];
学科分类号
02 ;
摘要
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.
引用
收藏
页码:333 / 354
页数:22
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共 66 条
  • [41] Regional determinants of energy intensity in Japan: the impact of population density
    Otsuka A.
    Goto M.
    [J]. Asia-Pacific Journal of Regional Science, 2018, 2 (2) : 257 - 278
  • [42] Estimation and determinants of energy efficiency in Japanese regional economies
    Otsuka, Akihiro
    Goto, Mika
    [J]. REGIONAL SCIENCE POLICY AND PRACTICE, 2015, 7 (02): : 89 - 101
  • [43] How do industrialization and trade openness influence energy intensity? Evidence from a path model in case of Bangladesh
    Pan, Xiongfeng
    Uddin, Md. Kamal
    Saima, Umme
    Jiao, Zhiming
    Han, Cuicui
    [J]. ENERGY POLICY, 2019, 133
  • [44] CANONICAL COINTEGRATING REGRESSIONS
    PARK, JY
    [J]. ECONOMETRICA, 1992, 60 (01) : 119 - 143
  • [45] Energy intensity and foreign direct investment nexus: Advanced panel data analysis
    Petrovic, Predrag
    Lobanov, Mikhail M. M.
    [J]. APPLIED ENERGY, 2022, 311
  • [46] Underlying causal factors of the European Union energy intensity: Econometric evidence
    Petrovic, Predrag
    Filipovic, Sanja
    Radovanovic, Mirjana
    [J]. RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2018, 89 : 216 - 227
  • [47] STATISTICAL-INFERENCE IN INSTRUMENTAL VARIABLES REGRESSION WITH I(1) PROCESSES
    PHILLIPS, PCB
    HANSEN, BE
    [J]. REVIEW OF ECONOMIC STUDIES, 1990, 57 (01) : 99 - 125
  • [48] Trends in economic growth, poverty and energy in Colombia: Long-run and short-run effects
    Poveda A.C.
    Martínez C.I.P.
    [J]. Energy Systems, 2011, 2 (3-4) : 281 - 298
  • [49] Renewable energy, energy intensity and carbon reduction: Experience of large emerging economies
    Rahman, Mohammad Mafizur
    Sultana, Nahid
    Velayutham, Eswaran
    [J]. RENEWABLE ENERGY, 2022, 184 : 252 - 265
  • [50] Do urbanization and industrialization affect energy intensity in developing countries?
    Sadorsky, Perry
    [J]. ENERGY ECONOMICS, 2013, 37 : 52 - 59