Abstract
Rapid urbanization in China has led to an increasing imbalance in regional development. The Guangxi Zhuang Autonomous Region, a less developed border province with unique cultural diversity, has a relatively large population (4.52 million people in 2015) under the poverty line, according to the national standard of poverty. China has launched a national campaign to reduce poverty using a wide range of new development policies and large-scale investment. However, there have been few studies on the determinants of poverty at the county level across a province. This paper aims to explore the spatial and social differences related to poverty among 109 counties by considering the spatial heterogeneity of poverty determinants. Spatial statistical models revealed that slope (Slp), GDP per capita (GDPP), the ethnic minority population ratio (EMPR), medical and technical personnel of healthcare institutions (MTP) and illiteracy rate (IR) significantly affect the patterns of the poverty rate, with a high adjusted R2 (0.67), while the poverty rate affects GDPP, IR, MTP and EMPR; i.e., the effects are interactional. Furthermore, the IR is significantly affected by the provision of schools and transportation conditions. Among these determinants, social factors may be key. The spatial patterns of these relationships demonstrate remarkable variation across the province and between minor and major groups. This quantitative evidence is enhanced by indepth interviews with selected groups. These results are expected to be useful for the anti-poverty project in Guangxi.
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References
Akhtar S, Saboor A, Mohsan AQ, et al. (2015) Poverty dynamics of rural Punjab and over time changes. The Journal of Animal & Plant Sciences 25: 572–577.
Alkire S, Fang Y (2019) Dynamics of multidimensional poverty and uni-dimensional income poverty: An evidence of stability analysis from China. Social Indicators Research 142: 25–64.
Alkire S, Roche JM, Seth S, et al. (2015) Identifying the poorest people and groups: strategies using the global multidimensional poverty index. Journal of International Development 27: 362–387. https://doi.org/10.1002/jid.3083
Alkire S, Santos ME (2014) Measuring acute poverty in the developing world: Robustness and scope of the multidimensional poverty index. World Development 59: 251–274. https://doi.org/10.1016/j.worlddev.2014.01.026
Alkire S, Seth S (2015) Multidimensional poverty reduction in India between 1999 and 2006: where and how? World Development 72: 93–108. https://doi.org/10.1016/j.worlddev.2015.02.009
Betti G, Bici R, Neri L, et al. (2018) Local poverty and inequality in Albania. Eastern European Economics 56: 223–245. https://doi.org/10.1080/00128775.2018.1443015
Betti G, Gagliardi F, Lemmi A, et al. (2011) Subnational indicators of poverty and deprivation in Europe: methodology and applications. Cambridge Journal of Regions, Economy and Society 5(1): 129–147. https://doi.org/10.1093/cjres/rsr037
Bhalla AS, Luo D (2013) Poverty and Exclusion of Minorities in China and India. Palgrave Macmillan UK.
Bird K, Shepherd A (2003) Livelihoods and chronic poverty in semi-arid Zimbabwe. World Development 31: 591–610. https://doi.org/10.1016/S0305-750X(02)00220-6
Brown PH, Park A (2002) Education and poverty in rural China. Economics of Education Review 21: 523–541. https://doi.org/10.1016/S0272-7757(01)00040-1
Chaudhry IS, Rahman S (2009) The impact of gender inequality in education on rural poverty in Pakistan: an empirical analysis. European Journal of Economics, Finance and Administrative Sciences 15: 174–188.
Cheng J, Fotheringham AS (2013) Multi-scale issues in crossborder comparative analysis. Geoforum 46: 138–148. https://doi.org/10.1016/j.geoforum.2012.12.020
Churchill SA, Smyth R (2017) Ethnic diversity and poverty. World Development 95: 285–302. https://doi.org/10.1016/j.worlddev.2017.02.032
Daimon T (2001) The spatial dimension of welfare and poverty: Lessons from a regional targeting programme in Indonesia. Asian Economic Journal 15: 345–367. https://doi.org/10.1111/1467-8381.00149
Dai Q, Ye X, Wei YD, et al. (2018) Geography, ethnicity and regional inequality in Guangxi Zhuang autonomous region, China. Applied Spatial Analysis and Policy 11: 557–580.
Dawson T, Sandoval JS, Sagan V, et al. (2018) A spatial analysis of the relationship between vegetation and poverty. ISPRS International Journal of Geo-Information 7: 83. https://doi.org/10.3390/ijgi7030083
Dong D, Xu X, Wong YF (2019) Estimating the Impact of Air Pollution on Inbound Tourism in China: An Analysis Based on Regression Discontinuity Design. Sustainability 11(6): 1682. https://doi.org/10.3390/su11061682
Epprecht M, Müller D, Minot N (2011) How remote are Vietnam’s ethnic minorities? An analysis of spatial patterns of poverty and inequality. The Annals of Regional Science 46(2): 349–368.
Fan CC, Sun M (2008) Regional inequality in China, 1978–2006. Eurasian Geography and Economics 49: 1–20. https://doi.org/10.2747/1539-7216.49.1.1
Feeny S, Mcdonald L (2016) Vulnerability to multidimensional poverty: findings from households in Melanesia. The Journal of Development Studies 52: 1–18. https://doi.org/10.1080/00220388.2015.1075974
Filmer D (2000) The structure of social disparities in education: Gender and wealth. The World Bank.
Fjeld H, Sagli G (2011) Disability, poverty and healthcare: changes in the canji (‘disability’) policies in the history of the People’s Republic of China. In: Eide AH, Ingstad B. (eds.), Poverty and Disability: A global challenge. The Policy Press, Bristol. pp 31–53.
Fotheringham A, Brundson C, Charlton M (2002) Geographically weighted regression, the analysis of spatially varying relationships. John Wiley & Sons.
Fotheringham AS, Crespo R, Yao J (2015) Geographical and temporal weighted regression (GTWR). Geographical Analysis 47: 431–452. https://doi.org/10.1111/gean.12071
Gao Q, Yang S, Li S (2015) Welfare, targeting, and anti-poverty effectiveness: the case of urban china. Quarterly Review of Economics & Finance 56: 30–42. https://doi.org/10.1016/j.qref.2014.06.005
Haushofer J, Fehr, E (2014) On the psychology of poverty. Science 344: 862–867. https://doi.org/10.1126/science.1232491
Ho SY, Iyke BN (2017) Does financial development lead to poverty reduction in china? Time series evidence. Journal of Economics and Behavioral Studies 9: 99–112. https://doi.org/10.22610/jebs.v9i1(J).1561
Huang J, Huang Y, Pontius Jr RG, et al. (2015) Geographically weighted regression to measure spatial variations in correlations between water pollution versus land use in a coastal watershed. Ocean & Coastal Management 103: 14–24. https://doi.org/10.1016/j.ocecoaman.2014.10.007
Imai KS, Gaiha R, Garbero A (2017) Poverty reduction during the rural-urban transformation: Rural development is still more important than urbanisation. Journal of Policy Modeling 39: 963–982. https://doi.org/10.1016/j.jpolmod.2017.10.002
Jalan J, Ravallion M (2002) Geographic poverty traps? a micro model of consumption growth in rural china. Journal of Applied Econometrics 17: 329–346. https://doi.org/10.1002/jae.645
Jin C, Cheng J, Xu J, et al. (2018) Self-driving tourism induced carbon emission flows and its determinants in well-developed regions: A case study of Jiangsu Province, China. Journal of Cleaner Production 186: 191–202. https://doi.org/10.1016/j.jclepro.2018.03.128
Kidanu ST, Anderson NL, Rogers JD (2018) Using Gis-based Spatial Analysis to Determine Factors Influencing the Formation of Sinkholes in Greene County, Missouri. Environmental & Engineering Geoscience 24(3): 251–261. https://doi.org/10.2113/EEG-2014
Liu YS, Liu JL, Zhou Y (2017) Spatio-temporal patterns of rural poverty in China and targeted poverty alleviation strategies. Journal of rural studies 52: 66–75. https://doi.org/10.1016/j.jrurstud.2017.04.002
Liu Y, Wang J, Deng X (2008) Rocky land desertification and its driving forces in the karst areas of rural Guangxi, Southwest China. Journal of Mountain Science 5: 350–357.
Naminse EY, Zhuang J (2018) Does farmer entrepreneurship alleviate rural poverty in China? Evidence from Guangxi Province. PloS one 13: e0194912. https://doi.org/10.1371/journal.pone.0194912
Mou Y, He Q, Zhou B (2017) Detecting the spatially nonstationary relationships between housing price and its determinants in China: Guide for housing market sustainability. Sustainability 9: 1826. https://doi.org/10.3390/su9101826
Ravallion, M (2008) Are there lessons for Africa from China’s success against poverty?. The World Bank.
Su S, Lei C, Li A, et al. (2017) Coverage inequality and quality of volunteered geographic features in Chinese cities: Analyzing the associated local characteristics using geographically weighted regression. Applied geography 78: 78–93. https://doi.org/10.1016/j.apgeog.2016.11.002
Wang X, Luo H, Qin X, et al. (2016) Evaluation of performance and impacts of maternal and child health hospital services using Data Envelopment Analysis in Guangxi Zhuang Autonomous Region, China: a comparison study among poverty and non-poverty county level hospitals. International journal for equity in health 15(1): 131.
Wan, G (2008) Understanding inequality and poverty in china. Studies in Development Economics & Policy 1: 3–17.
Westmore B (2018) Do government transfers reduce poverty in China? Micro evidence from five regions. China Economic Review 51: 59–69. https://doi.org/10.1016/j.chieco.2018.05.009
Yu, J (2013) Multidimensional poverty in china: findings based on the CHNS. Social Indicators Research 112: 315–336.
Zhang K, Dearing JA, Dawson TP, et al. (2015) Poverty alleviation strategies in eastern China lead to critical ecological dynamics. Science of the Total Environment 506: 164–181. https://doi.org/10.1016/j.scitotenv.2014.10.096
Zhao, W (2009) The nature and roles of small tourism businesses in poverty alleviation: Evidence from Guangxi, China. Asia Pacific Journal of Tourism Research 14: 169–182. https://doi.org/10.1080/10941660902847229
Zhou L, Xiong LY (2018) Natural topographic controls on the spatial distribution of poverty-stricken counties in china. Applied Geography 90: 282–292. https://doi.org/10.1016/j.apgeog.2017.10.006
Zou B, Pu Q, Bilal M, et al. (2016) High-resolution satellite mapping of fine particulates based on geographically weighted regression. IEEE Geoscience and Remote Sensing Letters 13: 495–499. https://doi.org/10.1109/LGRS.2016.2520480
Acknowledgements
This work was supported by Guangxi Scholarship Fund of Guangxi Education Department, the Natural Science Foundation of China (41661085, 41661043, 41461021), the Guangxi Scholarship Fund of Guangxi Education Department, China, and by the Guangxi Scientific Project, China (No. AD19110140) and the Innovative Team Project of Guangxi Natural Science Foundation, China (2016JJF15001). The authors would like to thank the anonymous reviewers for their constructive comments to the revision of this paper.
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Zhao, Yj., Lu, Y. Mapping determinants of rural poverty in Guangxi — a less developed region of China. J. Mt. Sci. 17, 1749–1762 (2020). https://doi.org/10.1007/s11629-019-5760-9
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DOI: https://doi.org/10.1007/s11629-019-5760-9