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我国城乡居民家庭贫困脆弱性的测度与分解——基于CHNS微观数据的实证研究 被引量:79

Measuring and Decomposing Chinese Households’ Vulnerability of Poverty
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摘要 脆弱性是对贫困的事前测度,具有前瞻性。本文遵循多数人的做法,将脆弱性定义为未来陷入贫困的概率。为了识别脆弱家庭和群体,探寻其脆弱根源,使用CHNS面板数据,对2638个家庭的脆弱性进行测度和分解,并按城乡、户主年龄和成人受教育程度交叉分组,汇总各子群的脆弱性及分解结果。研究发现:贫困家庭更脆弱,印证了用脆弱性预测贫困的可靠性;65岁以上组和小学组最脆弱,农村家庭更脆弱,可据此进行反贫政策瞄准;脆弱性相近的家庭,脆弱根源并不相同,当前最脆弱群体仍以水平效应为主要根源。 We define vulernability as the probability of a household falling into poverty in the future. To identify the vulnerable households and groups, and find the sources of their vulnerability, we assessed and decomposed the vulnerability of 2638 households, using CHNS panel data. Then we classified the households by ur- ban- rural area, age of the household head, average education of adults, aggrega- ting the vulnerability and decomposition results of different groups. The major find- ing is below: first, the poor households are more vulnerable, confirming the relia- bility of forecasting poverty with vulnerability. Second, households whose head is older than 65 or whose average education of adults is primary school, are the most vulnerable. The rural households are more vulnerable. These results could be used in policy targeting. Third, the sources of vulnerability may be quite different for those with similar vulnerability. Currently, low income is still the main sources of the most vulnerable groups.
作者 李丽 白雪梅
出处 《数量经济技术经济研究》 CSSCI 北大核心 2010年第8期61-73,共13页 Journal of Quantitative & Technological Economics
关键词 贫困脆弱性 分解 水平效应 变动效应 Vulnerablityto Poverty Decomposition Level Effect Variability Effect
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参考文献21

  • 1林伯强.中国的经济增长、贫困减少与政策选择[J].经济研究,2003,38(12):15-25. 被引量:339
  • 2万广华,章元.我们能够在多大程度上准确预测贫困脆弱性?[J].数量经济技术经济研究,2009,26(6):138-148. 被引量:88
  • 3章元.贫困的脆弱性研究综述[J].经济学动态,2006(1):100-104. 被引量:13
  • 4B. Baulch, N. McCulloch, 2002, Being Poor and Becoming Poor : Poverty Status and Poverty Transitions in Rural Pakistan [J], Journal of Asian and African Studies, Vol. 37, No. 2, 168-185.
  • 5Chaudhuri, S., J. Jalan, and A. Suryahadi, 2002. Assessing Household Vulnerability to Poverty:A Methodology and Estimates for Indonesia [R], Columbia University Department of Economics Discussion Paper No. 0102-52, New York: Columbia University.
  • 6Foster, J. , J. Greere, E. Thorbecke, 1984, A class of decomposable poverty measures [J], Econometrica, 52 (3):761-766.
  • 7Hoddinott J., A. R. Quisumbing, 2003, Data SourcesforMicroeconometricRiskand Vulnerability Assessments [R], Manuscript, International Food Policy Research Institute, Washington DC.
  • 8Hoddinott, J. , A. R. Quisumbing, 2008, Methods for Microeconometric Risk and Vulnerability Assessments I-R], International Food Policy Research Institute, Washington DC.
  • 9Jalan J. , and Ravallion M. , 2000, Transient poverty in post - reform rural China [J], Journal of Comparative Economics, 26, 337-358.
  • 10Kamanou G. ,. Morduch J., 2002, Measuring Vulnerability to Poverty [R], NYU Wagner Working Paper No. WP1012. New York.. New York University.

二级参考文献61

  • 1Adams, R. (1997),"Non- farm income and inequality in rural Egypt and Jordan', mimeo, The World Bank, Washington D.C.
  • 2Alwang, J., P.B.Siegel & S.L.Jorgensen (2001), "Vulnerability: A review from different disciplines", The World Bank Social Protection Discussion Paper, No. 0115, The World Bank.
  • 3Amin, S., A.S. Rai & G.Topa (1999), "Does microcrtedit reach the poor and vulnerable? Evidence from northern Bangladesh", working paper 28, Center for International Development, Harvard University.
  • 4Chambers, R.(1989), "Editorial instruction: Vulnerability, coping, and policy", IDS Bulletin, 20(2): 1-7.
  • 5Chaudhuri, S., J. Jalan & A. Suryahadi (2002), "Assessing housebold vulnerability to poverty from cross-sectional data: A methodology and estimates from Indonesia", discussion paper seties, No.0102-52; Department of Economics, Columbia University.
  • 6Christiaensen, L.J. & R. N. Boisvert (2000), "On messuring household food vulnerability: Case evidence from northern Mali', working paper 2000-5; Department d Applied Economics & Management, Cornell University.
  • 7Coudouel, A. & J.Hentschel (2000), "Poverty data and measurement', memo., The World Bank: Washington, D.C.
  • 8Dercon, S. & P. Krishnan (1999) "In sickness and in health: Risk - sharing within households in Ethiopia', Journal of Political Economy, Vol. 108: 688-727.
  • 9Dercon, S. & P. Krishnan (2000), "Vulnerability, seasonality and poverty in Ethiopia", Journal of Development Studies, 36 (6): 25-53.
  • 10Glewwe, P. &G. Hall (1998), "Are some groups more vulnerable to macroeconomic shocks than others? Hypothesis tests based on panel data from Peru", Journal of Development Economics, 56:181-206.

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