The Impact of Public-Private Partnership Investment in Energy and Technological Innovation on Ecological Footprint: The Case of Pakistan

被引:64
|
作者
Chunling, Li [1 ]
Memon, Javed Ahmed [1 ]
Thanh, Tiep Le [2 ]
Ali, Minhaj [3 ]
Kirikkaleli, Dervis [4 ]
机构
[1] Yanshan Univ, Sch Econ & Management, Qinhuangdao 066004, Hebei, Peoples R China
[2] Thu Dau Mot Univ, Dept Econ, Thu Dau Mot 75100, Vietnam
[3] Zhongnan Univ Econ & Law, Sch Econ, Wuhan 430073, Peoples R China
[4] European Univ Lefke, Fac Econ & Adm Sci, Dept Banking & Finance, Mersin 10, TR-99010 Lefke, Turkey
关键词
public-private partnership investment in energy; ecological footprint; technological innovation; economic growth; trade openness; Pakistan; KUZNETS CURVE HYPOTHESIS; RENEWABLE ENERGY; CO2; EMISSIONS; FINANCIAL DEVELOPMENT; EMPIRICAL-EVIDENCE; ERROR-CORRECTION; ECONOMIC-GROWTH; COINTEGRATION; NEXUS; CONSUMPTION;
D O I
10.3390/su131810085
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This novel research looked into the role of public-private partnership investment in energy in affecting Pakistan's long-term environmental sustainability. Employing time series data from 1992 to 2018 and utilizing the autoregressive distributive lag model (ARDL) model, we found a long-term equilibrium association of ecological footprint with public-private partnership investment in energy, technological innovation, economic growth, and trade openness. Our outcomes showed a significant positive association between public-private partnership investment in energy and ecological footprint in the long-run and the short-run, specifying that the increase in public-private partnership investment in energy affects the environmental sustainability of Pakistan. Similarly, our study confirmed that technological innovation, economic growth, and trade openness increase the ecological footprint in Pakistan. It demonstrates that these factors are unfavorable to the sustainable environment in Pakistan. Furthermore, robustness check findings are analogous to the results of ARDL estimates, utilizing dynamic ordinary least squares and fully modified ordinary least squares. On the basis of the research conclusions, a multi-pronged sustainable development goal (SDG) model was proposed that addresses SDG 8 and SDG 13 while incorporating SDG 17 as a medium.
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页数:16
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