Testing the Environmental Kuznets Curve Hypothesis with Bird Populations as Habitat‐Specific Environmental Indicators: Evidence from Canada
2008
LANTZ, VAN | MARTÍNEZ‐ESPIÑEIRA, ROBERTO
The traditional environmental Kuznets curve (EKC) hypothesis postulates that environmental degradation follows an inverted U‐shaped relationship with gross domestic product (GDP) per capita. We tested the EKC hypothesis with bird populations in 5 different habitats as environmental quality indicators. Because birds are considered environmental goods, for them the EKC hypothesis would instead be associated with a U‐shaped relationship between bird populations and GDP per capita. In keeping with the literature, we included other variables in the analysis—namely, human population density and time index variables (the latter variable captured the impact of persistent and exogenous climate and/or policy changes on bird populations over time). Using data from 9 Canadian provinces gathered over 37 years, we used a generalized least‐squares regression for each bird habitat type, which accounted for the panel structure of the data, the cross‐sectional dependence across provinces in the residuals, heteroskedasticity, and fixed‐ or random‐effect specifications of the models. We found evidence that supports the EKC hypothesis for 3 of the 5 bird population habitat types. In addition, the relationship between human population density and the different bird populations varied, which emphasizes the complex nature of the impact that human populations have on the environment. The relationship between the time‐index variable and the different bird populations also varied, which indicates there are other persistent and significant influences on bird populations over time. Overall our EKC results were consistent with those found for threatened bird species, indicating that economic prosperity does indeed act to benefit some bird populations.
Показать больше [+] Меньше [-]Ключевые слова АГРОВОК
Библиографическая информация
Эту запись предоставил National Agricultural Library