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Incorporating Forests, Agriculture, and Energy Consumption in the Framework of the Environmental Kuznets Curve: A Dynamic Panel Data Approach

Rajan Parajuli (), Omkar Joshi () and Tek Maraseni ()
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Rajan Parajuli: Department of Forestry and Environmental Resources, North Carolina State University, Raleigh, NC 27695, USA
Omkar Joshi: Department of Natural Resource Ecology and Management, Oklahoma State University, Stillwater, OK 74078, USA
Tek Maraseni: Institute for Life Sciences and the Environment (ILSE), University of Southern Queensland, Toowoomba 4350, Australia

Sustainability, 2019, vol. 11, issue 9, 1-11

Abstract: Based on country-specific panel data from 1990–2014 for 86 different countries, we quantify the effects of forests and agricultural land in CO 2 emissions, using the framework of the Environmental Kuznets Curve (EKC). The results from the dynamic panel data method reveal that forests are an important determinant in reducing CO 2 emissions globally, but the effects vary by region. All else constant, we estimate a 0.11% decline in CO 2 emissions per 1% increase in the forest area globally. However, the agricultural sector is found to be a true CO 2 emitter. Our study provides additional empirical evidence for the roles of forests in regulating atmospheric CO 2 , further reinforcing the importance of forests in global climate change policies.

Keywords: dynamic panel data model; Environmental Kuznets Curve; CO 2 emissions; economic growth; endogeneity (search for similar items in EconPapers)
JEL-codes: Q Q0 Q2 Q3 Q5 Q56 O13 (search for similar items in EconPapers)
Date: 2019
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