Repository logo
  • English
  • Català
  • Čeština
  • Deutsch
  • Español
  • Français
  • Gàidhlig
  • Italiano
  • Latviešu
  • Magyar
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Srpski (lat)
  • Suomi
  • Svenska
  • Türkçe
  • Tiếng Việt
  • Қазақ
  • বাংলা
  • हिंदी
  • Ελληνικά
  • Српски
  • Yкраї́нська
  • Log In
    New user? Click here to register. Have you forgotten your password?
Repository logo
  • Communities & Collections
  • All of DSpace
  • English
  • Català
  • Čeština
  • Deutsch
  • Español
  • Français
  • Gàidhlig
  • Italiano
  • Latviešu
  • Magyar
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Srpski (lat)
  • Suomi
  • Svenska
  • Türkçe
  • Tiếng Việt
  • Қазақ
  • বাংলা
  • हिंदी
  • Ελληνικά
  • Српски
  • Yкраї́нська
  • Log In
    New user? Click here to register. Have you forgotten your password?
  1. Home
  2. Browse by Author

Browsing by Author "Garcia, Giselle Liaa L."

Now showing 1 - 1 of 1
Results Per Page
Sort Options
  • ItemRestricted
    Analyzing carbon dioxide emissions and economic growth in low- and high-income countries: an empirical test of the environmental kuznets curve
    (2022-02-04) Del Rosario, Patricia Nicole P.; Garcia, Giselle Liaa L.; Mendoza, Adrian R.
    This study aims to test the validity of the environmental Kuznets curve (EKC) hypothesis for high-income and low-income countries. Using data on seven low- income and 33 high-income countries from 2000 to 2020, the researchers performed fixed-effects and random-effects regressions to test the presence of the hypothesized inverted U-shaped relationship between GDP per capita and CO2 emissions per capita, while controlling for the effects of energy variables and other country-level indicators. Although the EKC is both valid and significant for the whole panel, tests for the two income sub-groups showed that the relationship is stronger for high-income countries while inconclusive for the low-income category. In particular, the results showed that the EKC is valid and significant for the two income groups when no other control variables were included in the regressions. However, the results slightly changed for low-income countries when the controls were added to the model, suggesting that factors other than income are also significant in determining the level of CO2 emissions.

DSpace software copyright © 2002-2026 LYRASIS

  • Cookie settings
  • Privacy policy
  • End User Agreement