The costs and benefits of reforestation in Liping County, Guizhou Province, China.
Reducing greenhouse gases in the atmosphere is becoming a pressing issue for the global community. Afforestation and reforestation are promoted worldwide as an effective means of sequestering carbon. For its national interest and global concerns, China has made great efforts to protect its existing forests and develop programs of afforestation and reforestation. Based on two surveys recently conducted in Liping County, Guizhou province, this paper investigates the economic changes associated with the implementation of the "Grain For Green" policy. Based on the analytical framework of benefit cost analysis, this paper concludes that the implementation of the reforestation of sloping agricultural land policy would not be possible if there were no government subsidies for the peasants. The short term economic returns of land and labour from forestation are substantially lower than those generated from grain or cash crop production on the steep slope lands. The government subsidies provide great economic incentives for peasants to take part in the project. The subsidies in fact have elevated peasant income in rural Liping. The estimated potential economic returns of plantations over the long run indicate that the removal of the government financial subsidies would not create an economic crisis for the peasants if the current market conditions continue.
Zhou
S
S
Key Laboratory of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 210044, PR China. zhousuoquan@jsmail.com.cn
Yin
Y
Y
Xu
W
W
Ji
Z
Z
Caldwell
I
I
Ren
J
J
D000383:Agriculture / Q000191:economics / Q000379:methods; D002681:China; D003247:Conservation of Natural Resources / Q000191:economics / Q000379:methods; D003362:Cost-Benefit Analysis; D017753:Ecosystem; D004787:Environmental Pollution / Q000191:economics / Q000517:prevention & control; D005380:Financing, Government; D016468:Forestry / Q000191:economics / Q000379:methods; D017752:Greenhouse Effect; D006801:Humans; D011050:Policy Making