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Erschienen in: Social Indicators Research 1/2017

11.01.2016

Disparities in the Level of Poverty in China: Evidence from China Family Panel Studies 2010

verfasst von: Jing Yang, Pundarik Mukhopadhaya

Erschienen in: Social Indicators Research | Ausgabe 1/2017

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Abstract

This paper uses the Dual Cut-offs Approach to measure multidimensional poverty in China at the national, rural-urban, regional and provincial levels using the China Family Panel Studies data from 2010. Five dimensions and thirteen indicators are considered for the enumeration of poverty. It is observed that irrespective of cut-offs and weights, rural poverty in China is three to nine times of urban poverty. Social insurance, toilet and cooking fuel are the major indicators contributing to both rural and urban poverty. More urban households in the Western region are deprived, but urban poor households are deprived in more indicators in the Central region, and some Eastern provinces are poorer than some of the Central provinces. Furthermore, the paper identifies the provinces that contribute most to national poverty levels and finds the sources of poverty in those provinces.

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Fußnoten
1
It should be noted that according to Gao (2012), health insurance in rural areas was worse than in the urban areas in 2000, but had improved by 2009.
 
2
Moreover, the coverage of the social insurance is sensitive to policy changes (e.g. the coverage of the health insurance increased sharply after the New Cooperative Medical Care System established).
 
3
Data constraint is the reason for not incorporating more dimensions.
 
4
See Jing and Mukhopadhaya (forthcoming) for an elaborate discussion. Here we discuss the importance and relevance of the selected dimensions/indicators in China context.
 
5
Among the total 13,339 sample households, 43.39 % households have at least one child. Among these households, 71.02 % households have at least one child in schooling age (6–15). If there is no child in the household (56.61 % cases) the household is not considered as poor. It should be noted that in the MPI, the education dimension includes two indicators, years of schooling and school attendance. Also, in MPI “all household members are considered deprived if any of their school-age children are not attending grades 1 to 8 of school and the households with no school-aged children are considered non-deprived. Hence incidence of deprivation in this indicator will reflect the demographic structure of the household and country as well as the educational attainments. Empirical studies suggest that this indicator provides different and complementary information to mean years of schooling (Santos et al. 2010). Furthermore, this indicator will be immediately sensitive to policy changes, whereas mean years of schooling will change more slowly.”(Alkire and Santos 2010, pp. 14). Our selection is similar to MPI. However, the adult literacy is better than the years of schooling to reflect the quality of education.
 
6
According to Wang and Alkire (2009), clean drinking water is considered to be tap water or well water that is from a depth of more than 5 metres underground. However, as with the definition in the MDG, safe water includes piped water, public tap, borehole or pump, protected well, protected spring or rainwater.
 
7
Food, clothing, housing, medical care and burial expenses are the five guaranteed forms of support.
 
8
This system was implemented to provide some assistance temporarily to the households or persons who get into the trap of basic living debt due to emergencies, accidents, serious illnesses or other special reasons but are not covered by the other social relief systems. In 2014 the State Council released the “Notice about establishment of the comprehensive temporary assistance system”. In the Notice the local governments (at the level of county and above) are responsible for the temporary assistance system. No further information on this is available.
 
9
Moreover, it should be noted that the unit of the subsistence allowances (Dibao) is household not individual. In another word, the household of which the income per capita is lower than the standard can apply for the subsistence allowances.
 
10
H is obtained by dividing the number of poor households by total households, while A is calculated by adding the proportion of total weighted deprivation scores that each household suffers from and then dividing by the number of poor households. M 0 is the product of H and A. Note that if the household is identified as poor by two cut-offs (the poverty line and number of predetermined indicators) then the deprivation score assigned is 1 otherwise 0. To compute A these scores are multiplied by respective weights of the indicators.
 
11
We set k = 0.4 to be the poverty cut-off for the following analysis.
 
12
It is worth noting that the result in Jiangxi may be due to the variation in the sample size: while there are 176 rural households in the sample, the urban sample size is only 59; about 1/3 of the rural samples (see Table 1). Therefore, this result may be due to the sample size of urban households being too small.
 
13
The robustness tests in this section are all performed for k = 0.4.
 
14
Note that the numerical contribution of indicator/dimension may change with different cut-offs. However, the variation of cut-off will not change identified indicators that contribute most in multidimensional poverty. We are aware of the arbitrariness of the selection of dimension as a shortcomings of the multidimensional poverty measurement (See Ravallion 2011, 2012). That is why we have systematically chosen the dimensions and indicators using existing theories and conduct the robustness tests using various weights.
 
15
No previous study considers social security in the way we use it here. Some studies, however, use health insurance as social security (Yu 2013) and report that the deprivation in health insurance has declined since 2004.
 
16
Reform of the urban housing system in China started in 1998. After that, the work unit stopped allocating houses to workers. Instead, urban households had to buy houses from the market. Since the house prices have been rising for more than 10 years in urban China, many urban households could not afford to buy a house but had to rent. On the other hand, rural households can still build their houses on the homestead. From this perspective, urban households are more deprived.
 
17
There is no empirical study on the multidimensional poverty in China available that shows robustness by changing the weights. Only Guo and Wu (2012) checked the impact of the changing weights. However, they used one weighting system (normative weight). They first use the same indicators as MPI and then drop two indicators, school attendance and child mortality. Thus, the weight of the years of schooling and the nutrition changed from 1/6 to 1/3. They found that the results changed much.
 
Literatur
Zurück zum Zitat Alkire, S. (2007). Choosing dimensions: The capability approach and multidimensional poverty. In N. Kakwani & J. Silber (Eds.), The Many Dimensions of Poverty (pp. 89–119). New York: Palgrave Macmillan.CrossRef Alkire, S. (2007). Choosing dimensions: The capability approach and multidimensional poverty. In N. Kakwani & J. Silber (Eds.), The Many Dimensions of Poverty (pp. 89–119). New York: Palgrave Macmillan.CrossRef
Zurück zum Zitat Alkire, S., & Foster, J. (2008). Counting and multidimensional poverty. The poorest and hungry: Assessment, analysis and actions (pp. 77–90). Washington, DC: International Food Policy Research Institute. Alkire, S., & Foster, J. (2008). Counting and multidimensional poverty. The poorest and hungry: Assessment, analysis and actions (pp. 77–90). Washington, DC: International Food Policy Research Institute.
Zurück zum Zitat Alkire, S., & Santos, M. E. (2010). Acute multidimensional poverty: A new index for developing countries. OPHI Working Paper No. 38. Alkire, S., & Santos, M. E. (2010). Acute multidimensional poverty: A new index for developing countries. OPHI Working Paper No. 38.
Zurück zum Zitat Brandt, L., & Holz, C. A. (2006). Spatial price differences in china: Estimates and implications. Economic Development and Cultural Change, 55(1), 43–86.CrossRef Brandt, L., & Holz, C. A. (2006). Spatial price differences in china: Estimates and implications. Economic Development and Cultural Change, 55(1), 43–86.CrossRef
Zurück zum Zitat Cerioli, A., & Zani, S. (1990). A fuzzy approach to the measurement of poverty. In C. Dagum & M. Zenga (Eds.), Income and wealth distribution, inequality and poverty (pp. 272–284). Berlin: Springer.CrossRef Cerioli, A., & Zani, S. (1990). A fuzzy approach to the measurement of poverty. In C. Dagum & M. Zenga (Eds.), Income and wealth distribution, inequality and poverty (pp. 272–284). Berlin: Springer.CrossRef
Zurück zum Zitat Chen, L. (2008). The measurement and decomposition of multidimensional poverty in transition period of China. Economic Review, 5, 5–10. (In Chinese). Chen, L. (2008). The measurement and decomposition of multidimensional poverty in transition period of China. Economic Review, 5, 5–10. (In Chinese).
Zurück zum Zitat Chen, Q. (2012). The multidimensional measurement and the policy implication of the rural poverty in the poverty-stricken covered area. Journal of Sichuan Normal University (Social Sciences Edition), 39(3), 58–63. (In Chinese). Chen, Q. (2012). The multidimensional measurement and the policy implication of the rural poverty in the poverty-stricken covered area. Journal of Sichuan Normal University (Social Sciences Edition), 39(3), 58–63. (In Chinese).
Zurück zum Zitat Decancq, K., & Lugo, M. A. (2013). Weights in multidimensional indices of wellbeing: An overview. Econometric Reviews, 32(1), 7–34.CrossRef Decancq, K., & Lugo, M. A. (2013). Weights in multidimensional indices of wellbeing: An overview. Econometric Reviews, 32(1), 7–34.CrossRef
Zurück zum Zitat Fang, Y. (2012). Multidimensional measurement on China’s poverty. Modern Economic Science, 34(4), 7–15. (In Chinese). Fang, Y. (2012). Multidimensional measurement on China’s poverty. Modern Economic Science, 34(4), 7–15. (In Chinese).
Zurück zum Zitat Gao, Y. (2012). The multidimensional poverty in urban and rural China: Measurement and comparison. Statistical Research, 29(11), 61–66. (In Chinese). Gao, Y. (2012). The multidimensional poverty in urban and rural China: Measurement and comparison. Statistical Research, 29(11), 61–66. (In Chinese).
Zurück zum Zitat Guo, J., & Wu, G. (2012). The measurement of the multidimensional poverty based on different indicators and weights—Evidence from poverty-stricken counties in Shanxi Province. Chinese Rural Economy, 2, 12–20. (in Chinese). Guo, J., & Wu, G. (2012). The measurement of the multidimensional poverty based on different indicators and weights—Evidence from poverty-stricken counties in Shanxi Province. Chinese Rural Economy, 2, 12–20. (in Chinese).
Zurück zum Zitat Hou, H., Wang, N., & Wang, D. (2012). Measure on Chinese urban areas multidimensional poverty. Urban Development Studies, 19(12), 123–128. (In Chinese). Hou, H., Wang, N., & Wang, D. (2012). Measure on Chinese urban areas multidimensional poverty. Urban Development Studies, 19(12), 123–128. (In Chinese).
Zurück zum Zitat Jiang, C., Xu, Q., & Li, Y. (2011). The measurement of household multidimensional poverty in China. Statistics and Decision, 22, 92–95. (In Chinese). Jiang, C., Xu, Q., & Li, Y. (2011). The measurement of household multidimensional poverty in China. Statistics and Decision, 22, 92–95. (In Chinese).
Zurück zum Zitat Laderchi, C., Saith, R., & Stewart, F. (2003). Does it matter that we do not agree on the definition of poverty? A comparison of four approaches. Oxford development studies, 31(3), 243–274.CrossRef Laderchi, C., Saith, R., & Stewart, F. (2003). Does it matter that we do not agree on the definition of poverty? A comparison of four approaches. Oxford development studies, 31(3), 243–274.CrossRef
Zurück zum Zitat Li, F. (2012). Concept, approach and empirical analysis of multidimensional poverty measurement—A household analysis among 9 villages. Guangdong Agricultural Science, 9, 203–206. (In Chinese). Li, F. (2012). Concept, approach and empirical analysis of multidimensional poverty measurement—A household analysis among 9 villages. Guangdong Agricultural Science, 9, 203–206. (In Chinese).
Zurück zum Zitat Ravallion, M. (2011). On multidimensional indices of poverty. Journal of Economic Inequality, 9(2), 235–248.CrossRef Ravallion, M. (2011). On multidimensional indices of poverty. Journal of Economic Inequality, 9(2), 235–248.CrossRef
Zurück zum Zitat Ravallion, M. (2012). Mashup indices of development. World Bank Research Observer, 27, 1–32.CrossRef Ravallion, M. (2012). Mashup indices of development. World Bank Research Observer, 27, 1–32.CrossRef
Zurück zum Zitat Santos, M. E., Lugo, M. A., Lopez-Calva, L. F., Cruces, G., & Battiston, D. (2010). Refining the basic needs approach: A multidimensional analysis of poverty in Latin America. In J. Bishop (Ed.), Studies in applied welfare analysis: Papers from the third ECINEQ meeting (pp. 1–29). Santos, M. E., Lugo, M. A., Lopez-Calva, L. F., Cruces, G., & Battiston, D. (2010). Refining the basic needs approach: A multidimensional analysis of poverty in Latin America. In J. Bishop (Ed.), Studies in applied welfare analysis: Papers from the third ECINEQ meeting (pp. 1–29).
Zurück zum Zitat Sen, A. (1993). Capability and well-being. In M. Nussbaum & A. Sen (Eds.), The Quality of Life (pp. 30–53). Oxford: Clarendon Press.CrossRef Sen, A. (1993). Capability and well-being. In M. Nussbaum & A. Sen (Eds.), The Quality of Life (pp. 30–53). Oxford: Clarendon Press.CrossRef
Zurück zum Zitat Sen, A., & Foster, J. (1997). On Economic Inequality, expanded edition with a substantial annexe by James E. and Amartya Sen. Oxford: Clarendon Press. (1979), “The Welfare Basis of Real Income Comparisons: A Survey.” Journal of Economic Literature, 17(1), 1–45. Sen, A., & Foster, J. (1997). On Economic Inequality, expanded edition with a substantial annexe by James E. and Amartya Sen. Oxford: Clarendon Press. (1979), “The Welfare Basis of Real Income Comparisons: A Survey.” Journal of Economic Literature, 17(1), 1–45.
Zurück zum Zitat Silber, J. (2007). Measuring poverty: Taking a multidimensional perspective. Hacienda Pública Española, 182, 29–74. Silber, J. (2007). Measuring poverty: Taking a multidimensional perspective. Hacienda Pública Española, 182, 29–74.
Zurück zum Zitat Sun, X., Tian, G., Pan, Y., et al. (2012). Research on rural poverty measurement in China: Based the data of Shanxi Province. On Economic Problems, 4, 79–84. (In Chinese). Sun, X., Tian, G., Pan, Y., et al. (2012). Research on rural poverty measurement in China: Based the data of Shanxi Province. On Economic Problems, 4, 79–84. (In Chinese).
Zurück zum Zitat Wang, X., & Alkire, S. (2009). The measurement of multidimensional poverty in China: Estimation and policy implication. Chinese Rural Economy, 12, 4–10. (In Chinese). Wang, X., & Alkire, S. (2009). The measurement of multidimensional poverty in China: Estimation and policy implication. Chinese Rural Economy, 12, 4–10. (In Chinese).
Zurück zum Zitat Wang, S., & Wang, X. (2013). Measurement of multidimensional Poverty in China. China Agricultural University Journal of Social Sciences Edition, 30(2), 129–152. (In Chinese). Wang, S., & Wang, X. (2013). Measurement of multidimensional Poverty in China. China Agricultural University Journal of Social Sciences Edition, 30(2), 129–152. (In Chinese).
Zurück zum Zitat Yu, J. (2013). Multidimensional poverty in China: Findings based on the CHNS. Social Indicators Research, 112(2), 315–336.CrossRef Yu, J. (2013). Multidimensional poverty in China: Findings based on the CHNS. Social Indicators Research, 112(2), 315–336.CrossRef
Zurück zum Zitat Zhang, Q., & Zhou, Q. (2014). The dynamic measurement of the multidimensional poverty during the transition period of China. Journal of Zhongnan University of Economic and Law, 1, 60–68. (In Chinese). Zhang, Q., & Zhou, Q. (2014). The dynamic measurement of the multidimensional poverty during the transition period of China. Journal of Zhongnan University of Economic and Law, 1, 60–68. (In Chinese).
Zurück zum Zitat Zou, W., & Fang, Y. (2011). A study on the dynamic multidimensional measurement of China’s poverty. Chinese Journal of Population Science, 6, 49–59. (In Chinese). Zou, W., & Fang, Y. (2011). A study on the dynamic multidimensional measurement of China’s poverty. Chinese Journal of Population Science, 6, 49–59. (In Chinese).
Metadaten
Titel
Disparities in the Level of Poverty in China: Evidence from China Family Panel Studies 2010
verfasst von
Jing Yang
Pundarik Mukhopadhaya
Publikationsdatum
11.01.2016
Verlag
Springer Netherlands
Erschienen in
Social Indicators Research / Ausgabe 1/2017
Print ISSN: 0303-8300
Elektronische ISSN: 1573-0921
DOI
https://doi.org/10.1007/s11205-016-1228-2

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