Abstract
References
- Xie, R., J. Fang and C. Liu (2016). Impact and Spatial Spillover Effect of Transport Infrastructure on Urban Environment. Energy Procedia, 104, 227–232. Yildirim, J., B. Alpaslan and E. E. Eker (2021). The role of social capital in environmental protection efforts: evidence from Türkiye. Journal of Applied Statistics, 48(13–15), 2626–2642.
- You, W. and Z. Lv (2018). Spillover effects of economic globalization on CO2 emissions: A spatial panel approach. Energy Economics, 73, 248-257.
- Zhang, W.-W., B. Sharp and S.C. Xu (2019). Does economic growth and energy consumption drive environmental degradation in China’s 31 provinces? New evidence from a spatial econometric perspective. Applied Economics, 51(42), 4658-4671.
- Zhao, J., Z. Zhao and H. Zhang (2021). The impact of growth, energy and financial development on environmental pollution in China: New evidence from a spatial econometric analysis. Energy Economics, 93, 104506.
- Zhou, C. and S. Wang. (2017). Examining the determinants and the spatial nexus of city-level CO2 emissions in China: A dynamic spatial panel analysis of China's cities. Journal of Cleaner Production, 171, 917-926.
Abstract
This study investigates the effect of electricity consumption on air pollution in Türkiye at the provincial level through spatial analyses. Using SO2 and PM10 measurements as indicators of air pollution, this study incorporates income, population density, and electricity consumption as explanatory variables. The direct and indirect effects of economic factors are analyzed using a spatial Durbin model on annual data from 2008 to 2021. Our results provide strong evidence of spillovers from both air pollution and economic determinants in neighboring provinces. Electricity consumption has a significant positive direct effect on air pollution. Foremost, a 1% increase in electricity consumption results in a 0.57% rise in SO2 levels and a 0.16% rise in PM10 levels within the province. Additionally, it causes a 1.1% rise in PM10 levels in neighboring provinces due to spillover effects. In conclusion, our recommendations involve boosting incentives for renewables to mitigate the impact of electricity consumption on air pollution. Furthermore, the upcoming establishment of a mandatory carbon market in Türkiye necessitates spatial considerations in carbon pricing, especially in high-pollution clusters.
Keywords
Air pollution Electricity Consumption Spatial Durbin Model Environmental Kuznets Curve Türkiye
References
- Xie, R., J. Fang and C. Liu (2016). Impact and Spatial Spillover Effect of Transport Infrastructure on Urban Environment. Energy Procedia, 104, 227–232. Yildirim, J., B. Alpaslan and E. E. Eker (2021). The role of social capital in environmental protection efforts: evidence from Türkiye. Journal of Applied Statistics, 48(13–15), 2626–2642.
- You, W. and Z. Lv (2018). Spillover effects of economic globalization on CO2 emissions: A spatial panel approach. Energy Economics, 73, 248-257.
- Zhang, W.-W., B. Sharp and S.C. Xu (2019). Does economic growth and energy consumption drive environmental degradation in China’s 31 provinces? New evidence from a spatial econometric perspective. Applied Economics, 51(42), 4658-4671.
- Zhao, J., Z. Zhao and H. Zhang (2021). The impact of growth, energy and financial development on environmental pollution in China: New evidence from a spatial econometric analysis. Energy Economics, 93, 104506.
- Zhou, C. and S. Wang. (2017). Examining the determinants and the spatial nexus of city-level CO2 emissions in China: A dynamic spatial panel analysis of China's cities. Journal of Cleaner Production, 171, 917-926.
Details
| Primary Language | English |
|---|---|
| Subjects | Panel Data Analysis |
| Journal Section | Articles |
| Authors | |
| Publication Date | January 14, 2025 |
| Submission Date | August 29, 2024 |
| Acceptance Date | December 10, 2024 |
| Published in Issue | Year 2024 |