TY - JOUR
T1 - Analysis of the environmental Kuznets curve for forest fragmentation
T2 - The case of Beijing-Tianjin-Hebei region in China
AU - Deng, Dandan
AU - Dong, Jiayun
AU - Zhang, Yiwen
AU - Liang, Wenyuan
AU - Liu, Kun
AU - Li, Lingchao
PY - 2023/6
Y1 - 2023/6
N2 - In recent decades, the international community has become increasingly concerned about several important environmental challenges including forest fragmentation. In this study, we develop a county-level panel dataset for the Beijing-Tianjin-Hebei (BTH) region of China from 2000 to 2018 and use remote-sensing image data to estimate forest fragmentation. We use a panel threshold regression model to group sample counties and examine the link between forest fragmentation and economic growth at various economic development levels in the BTH region based on the environmental Kuznets Curve (EKC) theory. A robustness test was performed to confirm the validity of the findings. In the sample counties with various levels of economic development, we found different relationships between forest fragmentation and per capita GDP. Inverted “N” and “N” shapes represent the EKC of forest fragmentation in the low- and high-income groups, respectively, and most data show that forest fragmentation reduces with economic growth. Policy changes to reduce forest fragmentation are recommended to promote coordinated and environmentally friendly development in the BTH region.
AB - In recent decades, the international community has become increasingly concerned about several important environmental challenges including forest fragmentation. In this study, we develop a county-level panel dataset for the Beijing-Tianjin-Hebei (BTH) region of China from 2000 to 2018 and use remote-sensing image data to estimate forest fragmentation. We use a panel threshold regression model to group sample counties and examine the link between forest fragmentation and economic growth at various economic development levels in the BTH region based on the environmental Kuznets Curve (EKC) theory. A robustness test was performed to confirm the validity of the findings. In the sample counties with various levels of economic development, we found different relationships between forest fragmentation and per capita GDP. Inverted “N” and “N” shapes represent the EKC of forest fragmentation in the low- and high-income groups, respectively, and most data show that forest fragmentation reduces with economic growth. Policy changes to reduce forest fragmentation are recommended to promote coordinated and environmentally friendly development in the BTH region.
KW - Beijing-Tianjin-Hebei
KW - EKC
KW - Forest fragmentation
KW - Green development policy
KW - Threshold regression
U2 - 10.1016/j.forpol.2023.102970
DO - 10.1016/j.forpol.2023.102970
M3 - Article
AN - SCOPUS:85151752939
SN - 1389-9341
VL - 151
JO - Forest Policy and Economics
JF - Forest Policy and Economics
M1 - 102970
ER -
