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Financial development, international trade, and environmental degradation: a nonlinear threshold model based on panel smooth transition regression
by
Khaskheli, Asadullah
, Khan, Komal Akram
, Raza, Syed Ali
, Qureshi, Muhammad Asif
, Jiang, Yushi
in
Aquatic Pollution
/ Atmospheric Protection/Air Quality Control/Air Pollution
/ Carbon dioxide
/ Carbon dioxide emissions
/ Developing countries
/ Earth and Environmental Science
/ ecosystems
/ Ecotoxicology
/ Emissions
/ Environment
/ Environmental Chemistry
/ Environmental degradation
/ Environmental Health
/ Environmental impact
/ Environmental quality
/ Environmental science
/ Income
/ International trade
/ LDCs
/ Low income areas
/ Low income groups
/ pollution
/ regression analysis
/ Regression models
/ Research Article
/ threshold models
/ Waste Water Technology
/ Water Management
/ Water Pollution Control
2021
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Financial development, international trade, and environmental degradation: a nonlinear threshold model based on panel smooth transition regression
by
Khaskheli, Asadullah
, Khan, Komal Akram
, Raza, Syed Ali
, Qureshi, Muhammad Asif
, Jiang, Yushi
in
Aquatic Pollution
/ Atmospheric Protection/Air Quality Control/Air Pollution
/ Carbon dioxide
/ Carbon dioxide emissions
/ Developing countries
/ Earth and Environmental Science
/ ecosystems
/ Ecotoxicology
/ Emissions
/ Environment
/ Environmental Chemistry
/ Environmental degradation
/ Environmental Health
/ Environmental impact
/ Environmental quality
/ Environmental science
/ Income
/ International trade
/ LDCs
/ Low income areas
/ Low income groups
/ pollution
/ regression analysis
/ Regression models
/ Research Article
/ threshold models
/ Waste Water Technology
/ Water Management
/ Water Pollution Control
2021
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While trying to remove the title from your shelf something went wrong :( Kindly try again later!
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Financial development, international trade, and environmental degradation: a nonlinear threshold model based on panel smooth transition regression
by
Khaskheli, Asadullah
, Khan, Komal Akram
, Raza, Syed Ali
, Qureshi, Muhammad Asif
, Jiang, Yushi
in
Aquatic Pollution
/ Atmospheric Protection/Air Quality Control/Air Pollution
/ Carbon dioxide
/ Carbon dioxide emissions
/ Developing countries
/ Earth and Environmental Science
/ ecosystems
/ Ecotoxicology
/ Emissions
/ Environment
/ Environmental Chemistry
/ Environmental degradation
/ Environmental Health
/ Environmental impact
/ Environmental quality
/ Environmental science
/ Income
/ International trade
/ LDCs
/ Low income areas
/ Low income groups
/ pollution
/ regression analysis
/ Regression models
/ Research Article
/ threshold models
/ Waste Water Technology
/ Water Management
/ Water Pollution Control
2021
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Financial development, international trade, and environmental degradation: a nonlinear threshold model based on panel smooth transition regression
Journal Article
Financial development, international trade, and environmental degradation: a nonlinear threshold model based on panel smooth transition regression
2021
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Overview
Environmental degradation has severely affected the natural cycle of ecosystem. It’s high time now and humans should execute strategies effectively to protect the further degradation. Initially, we need to understand the ways that might affect the environment. Thus, existing research is designed to explore the nonlinear association between financial development (FD) and carbon dioxide emissions (CO2) in the context of low-income countries by employing the yearly data of 1990–2016. The panel smooth transition regression model (PSTR) is applied, and the result confirmed that the nexus between the two variables are nonlinear. Moreover, it also shows that at a low regime, FD increases the CO2 emissions but as the economy of low-income states progress to the high regime, the association between the two variables becomes negative and significant. The study also confirms that FD can reduce CO2 emissions once it reaches a certain threshold point. Based on these findings, new insights are provided for the policymakers, and several policies are suggested to improve the environmental quality in low-income countries.
Publisher
Springer Berlin Heidelberg,Springer Nature B.V
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