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Nexus between export variety and carbon emissions in Pakistan: The role of FDI and technological development

pmid: 35081166
pmc: PMC8791517
Carbon emissions constitute a large portion of greenhouse gases that are responsible for global warming and climate change. This study examines the impact of export variety on carbon emissions along with foreign direct investment (FDI) and technological development as determinants of environmental degradation in Pakistan. Moreover, this study is conducted in the context of the environmental Kuznets curve hypothesis (EKC). This study applies dynamic ordinary least squares and error correction models for long-term and short-term estimates, respectively. The results indicate that the EKC hypothesis is valid in the long term. This implies that Pakistan’s economy reached the threshold level of income, after which an increase in income was not responsible for environmental degradation. Export variety restrains environmental degradation in the short term and is not a significant factor in the long term. Energy consumption has aggravated environmental degradation, while FDI and technological development are restraining environmental degradation. Policy measures are recommended to curb environmental degradation in Pakistan.
- Rajarata University of Sri Lanka Sri Lanka
- Kohat University of Science and Technology Pakistan
- Institute for Advanced Sustainability Studies Germany
- Kohat University of Science and Technology Pakistan
- Rajarata University of Sri Lanka Sri Lanka
Economics, Macroeconomics, Social Sciences, Economic Impact of Environmental Policies and Resources, Global Warming, Context (archaeology), Engineering, Natural resource economics, Climate change, Industrial Development, Pakistan, Kuznets curve, Rebound Effect on Energy Efficiency and Consumption, Energy, Ecology, Q, Statistics, R, Economics, Econometrics and Finance, Physical Sciences, Medicine, Foreign direct investment, Research Article, Economics and Econometrics, Environmental Engineering, Science, Variety (cybernetics), International economics, Greenhouse gas, Environmental science, FOS: Economics and business, Greenhouse Gases, Life Cycle Assessment and Environmental Impact Analysis, FOS: Mathematics, Econometrics, Embedded system, Biology, Ordinary least squares, Technological change, Renewable Energy, Sustainability and the Environment, FOS: Environmental engineering, Paleontology, Carbon Dioxide, Carbon, Environmental degradation, FOS: Biological sciences, Environmental Science, Kuznets Curve, Nexus (standard), Environmental Pollution, Mathematics
Economics, Macroeconomics, Social Sciences, Economic Impact of Environmental Policies and Resources, Global Warming, Context (archaeology), Engineering, Natural resource economics, Climate change, Industrial Development, Pakistan, Kuznets curve, Rebound Effect on Energy Efficiency and Consumption, Energy, Ecology, Q, Statistics, R, Economics, Econometrics and Finance, Physical Sciences, Medicine, Foreign direct investment, Research Article, Economics and Econometrics, Environmental Engineering, Science, Variety (cybernetics), International economics, Greenhouse gas, Environmental science, FOS: Economics and business, Greenhouse Gases, Life Cycle Assessment and Environmental Impact Analysis, FOS: Mathematics, Econometrics, Embedded system, Biology, Ordinary least squares, Technological change, Renewable Energy, Sustainability and the Environment, FOS: Environmental engineering, Paleontology, Carbon Dioxide, Carbon, Environmental degradation, FOS: Biological sciences, Environmental Science, Kuznets Curve, Nexus (standard), Environmental Pollution, Mathematics
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).16 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
