2012
DOI: 10.1016/j.ecolecon.2012.04.015
|View full text |Cite
|
Sign up to set email alerts
|

REDD and forest transition: Tunneling through the environmental Kuznets curve

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

1
52
2
2

Year Published

2013
2013
2023
2023

Publication Types

Select...
5
5

Relationship

0
10

Authors

Journals

citations
Cited by 143 publications
(57 citation statements)
references
References 47 publications
1
52
2
2
Order By: Relevance
“…Until now, the wide empirical macroeconomic studies on deforestation (using panel data on deforestation at a country level, provided by FAO) have given useful results concerning the factors that account for periodic deforestation rates (annual or over a five-year period). First, the literature questioned the impact of economic development on deforestation, by investigating the existence of an Environmental Kuznets Curve for deforestation (most recently Culas (2012); Busa (2013); Chiu (2012)). Those studies bring very contrasted results, as shown in the meta-analysis by Choumert et al (2013).…”
Section: Introductionmentioning
confidence: 99%
“…Until now, the wide empirical macroeconomic studies on deforestation (using panel data on deforestation at a country level, provided by FAO) have given useful results concerning the factors that account for periodic deforestation rates (annual or over a five-year period). First, the literature questioned the impact of economic development on deforestation, by investigating the existence of an Environmental Kuznets Curve for deforestation (most recently Culas (2012); Busa (2013); Chiu (2012)). Those studies bring very contrasted results, as shown in the meta-analysis by Choumert et al (2013).…”
Section: Introductionmentioning
confidence: 99%
“…The EKC for deforestation hypothesizes the existence of an inverted U-shaped relationship between indicators of deforestation and economic growth. However, depending on the geographic regions in the study, the time period of the study and other control variables used in the model, results are mixed (Cropper and Griffiths 1994, Bhattarai and Hammig 2001, Ehrhardt-Martinez et al 2002, Meyer et al 2003, Culas 2012). Similar to most previous studies, we take GDP per capita (GDPPC) as a control variable in the regression.…”
Section: Control Variablesmentioning
confidence: 99%
“…Among the various socioeconomic factors, those that most correlate with agricultural expansion include crop prices and production costs (6), the need to generate foreign exchange earnings to service external debt (21), per capita gross domestic product (GDP) (22) and population (4,5).…”
mentioning
confidence: 99%