The effects of China’s Sloping Land Conversion Program on agricultural households

Publikation: Working paperForskning

Standard

The effects of China’s Sloping Land Conversion Program on agricultural households. / Liu, Zhen; Henningsen, Arne.

Frederiksberg : Department of Food and Resource Economics, University of Copenhagen, 2014.

Publikation: Working paperForskning

Harvard

Liu, Z & Henningsen, A 2014 'The effects of China’s Sloping Land Conversion Program on agricultural households' Department of Food and Resource Economics, University of Copenhagen, Frederiksberg. <http://econpapers.repec.org/RePEc:foi:wpaper:2014_10>

APA

Liu, Z., & Henningsen, A. (2014). The effects of China’s Sloping Land Conversion Program on agricultural households. Department of Food and Resource Economics, University of Copenhagen. IFRO Working Paper Nr. 2014/10 http://econpapers.repec.org/RePEc:foi:wpaper:2014_10

Vancouver

Liu Z, Henningsen A. The effects of China’s Sloping Land Conversion Program on agricultural households. Frederiksberg: Department of Food and Resource Economics, University of Copenhagen. 2014.

Author

Liu, Zhen ; Henningsen, Arne. / The effects of China’s Sloping Land Conversion Program on agricultural households. Frederiksberg : Department of Food and Resource Economics, University of Copenhagen, 2014. (IFRO Working Paper; Nr. 2014/10).

Bibtex

@techreport{ec62da4f33f540e28973da3cd7cf52b0,
title = "The effects of China{\textquoteright}s Sloping Land Conversion Program on agricultural households",
abstract = "In the late 1990s, China aimed to mitigate environmental degradation from agricultural production activities by introducing the world{\textquoteright}s largest {\textquoteright}Payments for Environmental Services{\textquoteright} (PES) program ― the Sloping Land Conversion Program (SLCP). In order to analyze its effects on agricultural households, we develop a microeconomic Agricultural Household Model (AHM), which can model the production, consumption, and non-farm labor supply decisions of agricultural households in rural China in a theoretically consistent fashion. Based on this theoretical model, we derive an empirical specification that we use to econometrically estimate the effects of the SLCP and other exogenous factors. Using a large longitudinal farm household survey data set, we estimate the empirical model with the Hausman-Taylor estimation method. The empirical results are generally consistent with the results of our theoretical comparative static analysis, e.g. that the SLCP significantly decreases agricultural production. While the SLCP increases non-farm labor supply and total consumption in the Yellow River basin, these effects could not be observed in the Yangtze River basin. The recent reduction of the SLCP compensation payment rates has had some notable, but generally small effects.",
author = "Zhen Liu and Arne Henningsen",
year = "2014",
language = "English",
series = "IFRO Working Paper",
publisher = "Department of Food and Resource Economics, University of Copenhagen",
number = "2014/10",
type = "WorkingPaper",
institution = "Department of Food and Resource Economics, University of Copenhagen",

}

RIS

TY - UNPB

T1 - The effects of China’s Sloping Land Conversion Program on agricultural households

AU - Liu, Zhen

AU - Henningsen, Arne

PY - 2014

Y1 - 2014

N2 - In the late 1990s, China aimed to mitigate environmental degradation from agricultural production activities by introducing the world’s largest ’Payments for Environmental Services’ (PES) program ― the Sloping Land Conversion Program (SLCP). In order to analyze its effects on agricultural households, we develop a microeconomic Agricultural Household Model (AHM), which can model the production, consumption, and non-farm labor supply decisions of agricultural households in rural China in a theoretically consistent fashion. Based on this theoretical model, we derive an empirical specification that we use to econometrically estimate the effects of the SLCP and other exogenous factors. Using a large longitudinal farm household survey data set, we estimate the empirical model with the Hausman-Taylor estimation method. The empirical results are generally consistent with the results of our theoretical comparative static analysis, e.g. that the SLCP significantly decreases agricultural production. While the SLCP increases non-farm labor supply and total consumption in the Yellow River basin, these effects could not be observed in the Yangtze River basin. The recent reduction of the SLCP compensation payment rates has had some notable, but generally small effects.

AB - In the late 1990s, China aimed to mitigate environmental degradation from agricultural production activities by introducing the world’s largest ’Payments for Environmental Services’ (PES) program ― the Sloping Land Conversion Program (SLCP). In order to analyze its effects on agricultural households, we develop a microeconomic Agricultural Household Model (AHM), which can model the production, consumption, and non-farm labor supply decisions of agricultural households in rural China in a theoretically consistent fashion. Based on this theoretical model, we derive an empirical specification that we use to econometrically estimate the effects of the SLCP and other exogenous factors. Using a large longitudinal farm household survey data set, we estimate the empirical model with the Hausman-Taylor estimation method. The empirical results are generally consistent with the results of our theoretical comparative static analysis, e.g. that the SLCP significantly decreases agricultural production. While the SLCP increases non-farm labor supply and total consumption in the Yellow River basin, these effects could not be observed in the Yangtze River basin. The recent reduction of the SLCP compensation payment rates has had some notable, but generally small effects.

M3 - Working paper

T3 - IFRO Working Paper

BT - The effects of China’s Sloping Land Conversion Program on agricultural households

PB - Department of Food and Resource Economics, University of Copenhagen

CY - Frederiksberg

ER -

ID: 125628611