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</script>Optimized Variables for Environmental Dynamics: China’s Renewable Energy Policy
The purpose of this study is to determine the impacts of foreign direct investment (FDI), renewable energy (RE), energy consumption index (ECI), Globalization (GLO), and green technology innovation (GTI) on environmental pollution using a time series data from 1980 to 2019, using DARDL assessor to look at how markers with high levels of petroleum derivatives distorted the explanatory variable in China. The results showed that GTI contaminated environmental sustainability (ES). The polluted safe house notion claimed that FDI has a negative impact on the country’s inherent character. Finally, people are waking up to the importance of ES. Single-headed causalities from GTI to carbon emissions were detected in the middle of the other causes and fossil fuel byproducts need to change into green energy resources to reduce environmental pollution. Finally, the research proved that FDI is a major source of environmental pollution in China. According to the findings of the DARDL research, foreign direct investment and urbanization, green technological innovations, and China’s environmental pollution policy direction are all congruent with each other.
- Gelişim Üniversitesi Turkey
- Shandong University of Technology China (People's Republic of)
- University of Portsmouth United Kingdom
- Tianjin University of Commerce China (People's Republic of)
- Tianjin University of Commerce China (People's Republic of)
longrun estimators, international trade, CO2 emissions, dynamic model, renewable energy, Environmental sciences, GE1-350, General Environmental Science
longrun estimators, international trade, CO2 emissions, dynamic model, renewable energy, Environmental sciences, GE1-350, General Environmental Science
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).1 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.Average 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.Average
