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Do Better Institutional Arrangements Lead to Environmental Sustainability: Evidence from India

doi: 10.3390/su15032237
The efficient planning, execution, and management of institutional frameworks for climate change adaptation are essential to sustainable development. India, in particular, is known to be disproportionately vulnerable to the consequences of climate change. This study examines the effects of environmental taxes, corruption, urbanization, economic growth, ecological risks, and renewable energy sources on CO2 emissions in India from 1978 to 2018. Therefore, the ARDL model is used to draw inferences, and Pairwise Granger causality is also applied to demonstrate a cause-and-effect relationship. The empirical results show that corruption, environmental dangers, GDP, and urbanization positively influence India’s carbon emissions. However, the results of short-run elasticities show that carbon emissions reduce ecological sustainability. Environmental hazards and costs, like other countries, impact India’s carbon emissions. Therefore, decision-makers in India should set up strict environmental regulations and anti-corruption measures to combat unfair practice that distorts competition laws and policies. In addition, the government concentrates more on energy efficiency policies that diminish carbon emissions without hampering economic growth in the country.
- University of Bahrain Bahrain
- College of Business Administration Latvia
- Dhofar University Oman
- University of Luzon Philippines
- University of Bahrain Bahrain
Environmental effects of industries and plants, corruption, India, TJ807-830, environment taxation, TD194-195, Renewable energy sources, Environmental sciences, carbon emission, GE1-350, environmental sustainability
Environmental effects of industries and plants, corruption, India, TJ807-830, environment taxation, TD194-195, Renewable energy sources, Environmental sciences, carbon emission, GE1-350, environmental sustainability
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%
