Abstract
The western region of China has always been the main battlefield for poverty alleviation. It is essential to explore the interaction mechanism between the infrastructure perfection and residents’ living standards on a small scale to accurately reduce poverty and narrow the gap between the rich and poor residents. Taking poverty-stricken counties in Qinghai Province as the research unit, we constructed a coupling coordination model between infrastructure perfection and living standards to compare and analyze temporal and spatial differentiation patterns. Further, we introduced and improved the barycentric coupling model to analyze the synergistic evolution. The results showed that, from 2002 to 2018, (1) infrastructure perfection and living standards demonstrated an overall growth trend, and spatial agglomeration characteristics were obvious. Counties with better infrastructure perfection and living standards were concentrated in the northeast, and poorer standards were concentrated in southwestern. (2) The degree of coupling coordination changed from the initial antagonistic to coordination coupling, but level of coordination was low, and 50% of counties were still below the medium level. Spatial differentiation was obvious. The development speed of the degree of coupling coordination in the northeast was obviously faster than that in southwest counties, showing a pattern of “high in the northeast and low in the southwest”. (3) Infrastructure perfection played an active role on multidimensional poverty, and poverty reduction of infrastructure was feasible. Spatially, the coupling center of gravity was located in the eastern part of Qinghai Province. Therefore, infrastructure construction in the western should be strengthened in the future.
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References
Alkire, S., & Foster, J. (2011a). Counting and multidimensional poverty measurement. Journal of Public Economics, 95(7–8), 476–487.
Alkire, S., & Foster, J. (2011b). Understandings and misunderstandings of multidimensional poverty measurement. The Journal of Economic Inequality, 9(2), 289–314.
Aschauer, D. A. (1989). Is public expenditure productive? Journal of Monetary Economics, 23, 177–200.
Battiston, D., Cruces, G., Lopez-Calva, L. F., Lugo, M. A., & Santo, M. E. (2013). Income and beyond: Multidimensional poverty in six Latin American countries. Social Indicators Research, 112(2), 291–314.
Buhr, W. (2003). What is infrastructure? Volkswirtschaftliche Diskussionsbeitrage, 9, 109–133.
Cao, S. S., Zhao, W. J., & Duan, F. Z. (2015). Coupling relation analysis between ecological value and economic coupling relation analysis between ecological value and economic poverty of contiguous destitute areas in Qinling-Dabashan region. Geographical Research, 34(07), 1295–1309.
Chen, Q. Y., Liao, H. P., Liu, Y. L., et al. (2020). Analysis of the coupling relationship between transportation accessibility and multidimensional poverty at county level in Chongqing. Journal of Southwest University (Natural Science), 42(04), 12–24.
Cheng, X., Long, R., Chen, H., & Li, Q. (2019). Coupling coordination degree and spatial dynamic evolution of a regional green competitiveness system–a case study from China. Ecological Indicators, 104, 489–500.
Cong, H. B., & Zou, D. L. (2017). The research on the mechanism and spatial-temporal differentiation of the coupling coordination development based on industrial cluster agglomeration. Cluster Comput, 20, 195–213.
Démurger, S., Sachs, J. D., Woo, W. T., Bao, S., Chang, G., & Mellinger, A. (2002). Geography, economic policy, and regional development in China. Asian Economic Papers, 1(1), 146–197.
EsfahaniRamı́ı́rez, H. S. M. A. T. (2003). Institutions, infrastructure and economic growth. Journal of Development Economics, 70(2), 443–477.
Fay, M., Leipziger, D., Wodon, Q., & Yepes, T. (2003). Achieving the millennium development goals the role of infrastructure. Policy Research Working Paper, 365, 1029–1030.
Gao, J. B., Xie, W. Q., Yong, H., et al. (2018). The evolutionary trend and the coupling relation of gravity center moving of county-level population distribution, economical development and grain production during 1990–2013 in Henan Province. Scientia Geographica Sinica, 38(06), 919–926.
Gou, J., Miao, C., Samaniego, L., Xiao, M., Wu, J., & Guo, X. (2021). CNRD v1.0: A high-quality natural runoff dataset for hydrological and climate studies in China. Bulletin of the American Meteorological Society, 102, 1–57.
Gramlich, E. M. (1994). Infrastructure investment: A review essay. Journal of Economic Literature, 32(3), 1176–1196.
Hansen, N. M. (1965). The structure and determinants of local public investment expenditures. Review of Economics and Statistics, 2, 150–162.
Zimmermann, H., & Jochimsen, R. (1969). Theorie der Infrastruktur. Grundlagen der marktwirtschaftlichen Entwicklung (Book Review). Journal of Economics/Zeitschrift für Nazionalökonomie, 29, 485.
Juan, P. B. S., & Daniel, R. O. H. (2014). Transport accessibility and social inequities: A tool for identification of mobility needs and evaluation of transport investments. Journal of Transport Geography, 24(3), 142–154.
Liu, S., Wang, Y., & Hu, A. (2009). The effect of western development program and regional economic convergence in China. Economic Research Journal, 9, 94–105.
Liu, Y. L., Liao, H. P., Wu, X. Y., et al. (2019). Spatial coupling relationship between farmland fragmentation and poverty in Karst regions of Southwest China. Journal of Southwest University: Natural Science, 036(009), 1627–1640.
Lu, B. G., Lei, Y., Yi, R., Zhewei, C., & Huaxing, B. (2011). Spatial and temporal change of landscape pattern in the hilly-Gully region of loess Plateau. Procedia Environmental Sciences, 8, 103–111.
Luo, S., & Fu, Q. (2020). Spatial effects of traffic infrastructure on income disparity. Journal of Coastal Research, 104(sp1), 705–710.
Meyer, B. D., & Wu, D. (2018). The poverty reduction of social security and means-tested transfers. ILR Review, 71(5), 1106–1153.
Mohd, S. (2012). Welfare regime, social protection and poverty reduction (pp. 107–144). Palgrave Macmillan: Policy regimes and the political economy of poverty reduction in Malaysia.
Monstadt, J. (2009). Conceptualizing the political ecology of urban infrastructures: Insights from technology and urban studies. Environment and Planning A, 41(8), 1924–1942.
Qing, Y., Mingyue, C., & Qiongqiong, G. (2011). Research on the circular economy in west China. Energy Procedia, 5, 1425–1432.
Ravallion, M., & Chen, S. (2007). China’s (uneven) progress against poverty. Journal of Development Economics, 82(1), 1–42.
Satty, T. L. (1980). The analytical hierarchy process: Planning, priority setting, resource allocation. McGrawHill Inc.
Sen, A. (2004). Elements of a theory of human rights. Philosophy and Public Affairs, 32, 315–356.
Shi, T., Yang, S., Zhang, W., & Zhou, Q. (2020). Coupling coordination degree measurement and spatiotemporal heterogeneity between economic development and ecological environment––Empirical evidence from tropical and subtropical regions of China. Journal of Cleaner Production, 244, 118739.
Shuai, J., Cheng, X., Tao, X., Shuai, C., & Wang, B. (2019). A theoretical framework for understanding the spatial coupling between poverty and the environment: A case study from China. Agronomy Journal, 111(3), 1097–1108.
Slater. D., & Kwami, J. (2005). Embeddedness and escape: Internet and mobile use as poverty reduction strategies in Ghana. Information Society Research Group (ISRG) report.
Sun, Q. H., Miao, C. Y., Hanel, M., Borthwick, A. G. L., Duan, Q., Ji, D., & Li, H. (2019). Global heat stress on health, wildfires, and agricultural crops under different levels of climate warming. Environment International, 128, 125–136.
Sun, Y., & Cui, Y. (2018). Analyzing the coupling coordination among economic, social, and environmental benefits of urban infrastructure: Case study of four Chinese autonomous municipalities. Mathematical Problems in Engineering, 2018(4), 1–13.
Timilsina, G. R., Hochman, G., & Song, Z. (2020). Infrastructure, Economic Growth, and Poverty: A Review. Policy Research Working Paper Series.
Tsui, K. (2002). Multidimensional poverty indices. Social Choice and Welfare, 19(1), 69–93.
Wan, Y., Wang, Y., Gong, Z., Duan, F., & Deng, L. (2020). A study on the coupling relationship between basic public services and multi-dimensional poverty in rural poor areas-empirical analysis based on Hechi City, Guangxi. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 3, 773–780.
Wang, Q., Mao, Z., Xian, L., & Liang, Z. (2019). A study on the coupling coordination between tourism and the low-carbon city. Asia Pacific Journal of Tourism Research, 24(6), 550–562.
Wu, Y., Chen, B., & Li, F. (2020). Analysis on the coupling relationship between urbanization and regional ecological security and empirical analysis, E3S web of conferences. EDP Sciences, 143, 01037.
Xu, D., & Hou, G. (2019). The spatiotemporal coupling characteristics of regional urbanization and its influencing factors: Taking the Yangtze river delta as an example. Sustainability, 11(3), 822.
Yang, Y., Ma, M., Zhu, X., & Ge, W. (2020). Research on spatial characteristics of metropolis development using nighttime light data: NTL based spatial characteristics of Beijing. PloS one, 15(11), e0242663.
Zhang, Y., Su, Z., Li, G., Zhuo, Y., & Xu, Z. (2018). Spatial-temporal evolution of sustainable urbanization development: A perspective of the coupling coordination development based on population, industry, and built-up land spatial agglomeration. Sustainability, 10(6), 1766.
Acknowledgements
This research was supported by The Second Tibetan Plateau Scientific Expedition and Research (STEP) program [Grant No. 2019QZKK0608] and National Natural Science Foundation of China (Grant No 41971310). DEM data of the study area were downloaded from the Geographic Spatial Data Cloud website (http://www.gscloud.cn/). LetPub (https://www.letpub.com.cn/) provided linguistic assistance during the preparation of this manuscript. The authors would like to show our thanks to all of them.
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Xin, Y., Wang, D., Zhang, L. et al. Cooperative analysis of infrastructure perfection and residents’ living standards in poverty-stricken counties in Qinghai Province. Environ Dev Sustain 24, 3687–3703 (2022). https://doi.org/10.1007/s10668-021-01582-y
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DOI: https://doi.org/10.1007/s10668-021-01582-y