Energy, Environment, Economic Growth
Economists studying the links between energy use, environmental quality, and economic growth try to understand whether prosperity and lower emissions can genuinely coexist, or whether one reliably comes at the cost of the other. A central organizing idea is the Environmental Kuznets Curve, which proposes that pollution rises as countries develop but eventually falls once incomes cross a certain threshold — a pattern that holds in some contexts but breaks down in others, depending on factors like trade openness, urbanization, and how financial systems channel investment toward or away from clean technologies. Panel data methods allow researchers to track these dynamics across many countries and time periods simultaneously, making it possible to disentangle policy effects from broader structural trends. Active debates concern whether environmental regulations genuinely slow growth or accelerate the transition to renewable energy, and how developing economies can expand access to energy without locking in decades of carbon-intensive infrastructure.
- Works
- 95,483
- Total citations
- 2,093,245
- Keywords
- CO2 EmissionsEnergy ConsumptionEconomic GrowthRenewable EnergyEnvironmental RegulationPanel Data Analysis
Top papers in Energy, Environment, Economic Growth
Ordered by total citation count.
- Measuring Economic Policy Uncertainty*↗ 12,125OA
- A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test↗ 6,860OA
- Pooled Mean Group Estimation of Dynamic Heterogeneous Panels↗ 6,355OA
- Testing for Granger non-causality in heterogeneous panels↗ 5,718
- The Economics of Exhaustible Resources↗ 4,382
- Environmental Kuznets Curve Hypothesis: A Survey↗ 3,967
- The Rise and Fall of the Environmental Kuznets Curve↗ 3,895
- The Purchasing-Power Parity Doctrine: A Reappraisal↗ 3,222
- Does globalization affect growth? Evidence from a new index of globalization↗ 3,184
- Environmental Quality and Development: Is There a Kuznets Curve for Air Pollution Emissions?↗ 2,859OA
- General diagnostic tests for cross-sectional dependence in panels↗ 2,551
- A bias-adjusted LM test of error cross-section independence↗ 2,471
Active researchers
Top authors in this area, ranked by h-index.