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Social network effect on income structure of SLCP participants: Evidence from Baitoutan Village, China

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  • Lan, Jing
  • Liu, Zhen

Abstract

Using a unique dataset covering all the households in Baitoutan village of Sichuan province, China, this paper attempts to open the “black box” related to the social network effect. It is to understand the Sloping Land Conversion Program (hereafter SLCP) participants' labor reallocation decisions and income structure through the identification of the types of social network effects——peer or complementary. The results confirm the tendency of households to form social networks with their relatives and acquaintances within the village; these networks influence households' labor reallocation, which is revealed in their complementary income structure. This implies that there exists cooperation in terms of labor reallocation among households within a social network, as the share of agricultural income has a negative correlation with that of a household's acquaintances. In addition, a households' social position within the network is taken into account regarding their labor reallocation decision making. Models with network centrality (degree and eigenvector) are introduced for analysis. The results confirm that there is a cooperation in labor allocation within the network, resulting in a complementary type of social network effect in the village.

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  • Lan, Jing & Liu, Zhen, 2019. "Social network effect on income structure of SLCP participants: Evidence from Baitoutan Village, China," Forest Policy and Economics, Elsevier, vol. 106(C), pages 1-1.
    • Handle: RePEc:eee:forpol:v:106:y:2019:i:c:5
    DOI: 10.1016/j.forpol.2019.101958
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    as
    1. Paul Goldsmith-Pinkham & Guido W. Imbens, 2013. "Social Networks and the Identification of Peer Effects," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(3), pages 253-264, July.
    2. Kelejian, Harry H. & Prucha, Ingmar R., 2010. "Specification and estimation of spatial autoregressive models with autoregressive and heteroskedastic disturbances," Journal of Econometrics, Elsevier, vol. 157(1), pages 53-67, July.
    3. Marcel Fafchamps & Agnes R. Quisumbing, 1999. "Human Capital, Productivity, and Labor Allocation in Rural Pakistan," Journal of Human Resources, University of Wisconsin Press, vol. 34(2), pages 369-406.
    4. Narayan, Deepa & Pritchett, Lant, 1999. "Cents and Sociability: Household Income and Social Capital in Rural Tanzania," Economic Development and Cultural Change, University of Chicago Press, vol. 47(4), pages 871-897, July.
    5. Jing Zhou & Yundong Tu & Yuxin Chen & Hansheng Wang, 2017. "Estimating Spatial Autocorrelation With Sampled Network Data," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(1), pages 130-138, January.
    6. Ethan Cohen‐Cole & Xiaodong Liu & Yves Zenou, 2018. "Multivariate choices and identification of social interactions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(2), pages 165-178, March.
    7. Marcel Fafchamps, 2006. "Development and social capital," Journal of Development Studies, Taylor & Francis Journals, vol. 42(7), pages 1180-1198.
    8. Kelejian, Harry H & Prucha, Ingmar R, 1999. "A Generalized Moments Estimator for the Autoregressive Parameter in a Spatial Model," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 40(2), pages 509-533, May.
    9. Bramoullé, Yann & Djebbari, Habiba & Fortin, Bernard, 2009. "Identification of peer effects through social networks," Journal of Econometrics, Elsevier, vol. 150(1), pages 41-55, May.
    10. Kelly, Peter & Huo, Xuexi, 2013. "Land Retirement and Nonfarm Labor Market Participation: An Analysis of China’s Sloping Land Conversion Program," World Development, Elsevier, vol. 48(C), pages 156-169.
    11. Gabriel Leite Mota & Paulo Trigo Pereira, 2008. "Happiness, Economic Well-being, Social Capital and the Quality of Institutions," Working Papers Department of Economics 2008/40, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    12. Charles F. Manski, 1993. "Identification of Endogenous Social Effects: The Reflection Problem," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(3), pages 531-542.
    13. de Janvry, Alain & Sadoulet, Elisabeth & Zhu, Nong, 2005. "The Role of Non-Farm Incomes in Reducing Rural Poverty and Inequality in China," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt7ts2z766, Department of Agricultural & Resource Economics, UC Berkeley.
    14. Emi Uchida & Scott Rozelle & Jintao Xu, 2009. "Conservation Payments, Liquidity Constraints, and Off-Farm Labor: Impact of the Grain-for-Green Program on Rural Households in China," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(1), pages 70-86.
    15. Lindon J. Robison & Robert J. Myers & Marcelo E. Siles, 2002. "Social Capital and the Terms of Trade for Farmland," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 24(1), pages 44-58.
    16. Zhen Liu & Arne Henningsen, 2016. "The effects of China's Sloping Land Conversion Program on agricultural households," Agricultural Economics, International Association of Agricultural Economists, vol. 47(3), pages 295-307, May.
    17. Robison, Lindon J. & Siles, Marcelo E. & Jin, Songqing, 2011. "Social capital and the distribution of household income in the United States: 1980, 1990, and 2000," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 40(5), pages 538-547.
    18. Barrett, Christopher B. & Reardon, Thomas, 2000. "Asset, Activity, And Income Diversification Among African Agriculturalists: Some Practical Issues," Working Papers 14734, Cornell University, Department of Applied Economics and Management.
    19. Charles F. Manski, 2000. "Economic Analysis of Social Interactions," Journal of Economic Perspectives, American Economic Association, vol. 14(3), pages 115-136, Summer.
    20. Liu, Zhen & Lan, Jing, 2015. "The Sloping Land Conversion Program in China: Effect on the Livelihood Diversification of Rural Households," World Development, Elsevier, vol. 70(C), pages 147-161.
    21. Hiwatari, Masato, 2016. "Social networks and migration decisions: The influence of peer effects in rural households in Central Asia," Journal of Comparative Economics, Elsevier, vol. 44(4), pages 1115-1131.
    22. Johny, Judit & Wichmann, Bruno & Swallow, Brent M., 2017. "Characterizing social networks and their effects on income diversification in rural Kerala, India," World Development, Elsevier, vol. 94(C), pages 375-392.
    23. Fafchamps, Marcel & Lund, Susan, 2003. "Risk-sharing networks in rural Philippines," Journal of Development Economics, Elsevier, vol. 71(2), pages 261-287, August.
    24. Liang, Yicheng & Li, Shuzhuo & Feldman, Marcus W. & Daily, Gretchen C., 2012. "Does household composition matter? The impact of the Grain for Green Program on rural livelihoods in China," Ecological Economics, Elsevier, vol. 75(C), pages 152-160.
    25. Elena G. Irwin, 2002. "Interacting agents, spatial externalities and the evolution of residential land use patterns," Journal of Economic Geography, Oxford University Press, vol. 2(1), pages 31-54, January.
    26. Lee, Lung-fei, 2007. "Identification and estimation of econometric models with group interactions, contextual factors and fixed effects," Journal of Econometrics, Elsevier, vol. 140(2), pages 333-374, October.
    27. Jikun Huang & Liangliang Gao & Scott Rozelle, 2012. "The effect of off‐farm employment on the decisions of households to rent out and rent in cultivated land in China," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 4(1), pages 5-17, January.
    28. Kaivan Munshi, 2003. "Networks in the Modern Economy: Mexican Migrants in the U. S. Labor Market," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(2), pages 549-599.
    29. Butts, Carter T., 2008. "Social Network Analysis with sna," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 24(i06).
    30. Xu, Jintao & Yin, Runsheng & Li, Zhou & Liu, Can, 2006. "China's ecological rehabilitation: Unprecedented efforts, dramatic impacts, and requisite policies," Ecological Economics, Elsevier, vol. 57(4), pages 595-607, June.
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