Porównaj metody

	Environmental Kuznets Curve Estimation	Tapio Decoupling Analysis
Dziedzina	Environmental Sociology	Environmental Sociology
Rodzina	Regression model	Process / pipeline
Rok powstania	1995	2005
Twórca	Gene M. Grossman & Alan B. Krueger	Petri Tapio (building on OECD decoupling indicators)
Typ	Reduced-form polynomial panel regression of pollution on income	Elasticity-based classification of growth-versus-pressure trajectories
Źródło pierwotne	Grossman, G. M., & Krueger, A. B. (1995). Economic Growth and the Environment. The Quarterly Journal of Economics, 110(2), 353-377.	Tapio, P. (2005). Towards a theory of decoupling: degrees of decoupling in the EU and the case of road traffic in Finland between 1970 and 2001. Transport Policy, 12(2), 137-151.
Inne nazwy	EKC Estimation, Environmental Kuznets Curve, Income-Pollution Inverted-U Model, Grossman-Krueger Curve	Decoupling Elasticity Analysis, Tapio Decoupling Index, OECD Decoupling Indicator, Growth-Pressure Decoupling
Pokrewne	4	3
Podsumowanie	Environmental Kuznets curve (EKC) estimation tests the hypothesis that environmental degradation first rises and then falls as a country grows richer, tracing an inverted-U relationship between per-capita income and pollution. The empirical pattern was popularized by Gene Grossman and Alan Krueger's 1995 study of how air and water quality vary with income across countries, which found that several pollutants worsen at low income but improve beyond a turning point. Methodologically, the EKC is estimated as a reduced-form regression of an environmental indicator on a polynomial, usually quadratic, in income, with the signs of the linear and squared terms determining whether the inverted-U holds and the coefficients pinning down the income level at which degradation peaks. The framework is named by analogy to Simon Kuznets's hypothesized inverted-U between income and inequality. David Stern's 2004 critical review documented how fragile many early EKC results were once proper panel econometrics, unit roots, and specification issues were taken seriously. EKC estimation remains a central, much-contested tool in environmental economics and sociology for studying the growth-environment relationship.	Decoupling analysis measures whether economic growth can proceed without a proportional increase in environmental pressure such as emissions, energy use, or resource consumption. The elasticity-based formulation introduced by Petri Tapio in 2005, refining the earlier OECD decoupling indicator, expresses the relationship as the ratio of the percentage change in environmental pressure to the percentage change in an economic driving force, typically GDP. This single decoupling elasticity is then sorted into a logical scheme of states — strong and weak decoupling, expansive and recessive coupling, and strong and weak negative decoupling — that distinguishes the desirable case where pressure falls while the economy grows from the undesirable case where pressure grows faster than the economy. Tapio's scheme has become a standard diagnostic for tracking progress toward green growth and sustainability.