Efficiency and regional divergence in China’s poverty reduction (SDG 1) and decent work and economic growth (SDG 8)
DOI: https://doi.org/10.3846/tede.2025.24894Abstract
Addressing regional disparities while pursuing sustainable development has become a critical policy challenge. This study develops a meta parallel two-stage dynamic range directional measure (RDM) directional distance function (DDF) data envelopment analysis (DEA) model to evaluate the efficiency of poverty reduction (SDG 1) and decent work and economic growth (SDG 8) across 30 provinces in China. Given uneven regional development, the provinces are grouped into eastern, central, and western regions, and kernel density estimation is employed to examine the spatial and temporal evolution of efficiency. The results indicate that: (1) The overall efficiency is moderate, with an average score of 0.67, highest in the eastern region, followed by the western, and lowest in the central region. (2) The efficiency of SDG 8 (0.93) significantly exceeds that of SDG 1 (0.87), while the regional ranking remains consistent with the overall efficiency. (3) The technology gap among the three regions shows dynamic changes: the western region has overtaken the eastern region to become the most advanced. In contrast, the central region continues to lag, and its gap with the other regions is steadily widening.
First pubished online 29 October 2025
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poverty reduction, decent work and economic growth, sustainable development, dynamic RDM-DDF DEA modelHow to Cite
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Copyright (c) 2025 The Author(s). Published by Vilnius Gediminas Technical University.
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References
Adams, R. H. (2004). Economic growth, inequality and poverty: Estimating the growth elasticity of poverty. World Development, 32(12), 1989–2014. https://doi.org/10.1016/j.worlddev.2004.08.006
Aghion, P., & Bolton, P. (1997). A theory of trickle-down growth and development. The Review of Economic Studies, 64(2), 151–172. https://doi.org/10.2307/2971707
Ahmad, N., Youjin, L., Žiković, S., & Belyaeva, Z. (2023). The effects of technological innovation on sustainable development and environmental degradation: Evidence from China. Technology in Society, 72, Article 102184. https://doi.org/10.1016/j.techsoc.2022.102184
AlBataineh, A. (2024). The effect of remittances on poverty and economic growth in Jordan: Evidence from augmented autoregressive distributed lag model. Technological and Economic Development of Economy, 30(6), 1709–1731. https://doi.org/10.3846/tede.2024.21845
Bourguignon, F. (2003). The growth elasticity of poverty reduction: Explaining heterogeneity across countries and time periods. In T. S. Eicher & S. J. Turnovsky (Eds.), Inequality and growth: Theory and policy implications (pp. 1–26). MIT Press. https://doi.org/10.7551/mitpress/3750.003.0004
Caminada, K., & Goudswaard, K. (2009). Effectiveness of poverty reduction in the EU: A descriptive analysis. Poverty & Public Policy, 1(2), 1–49. https://doi.org/10.2202/1944-2858.1023
Chung, Y. H., Färe, R., & Grosskopf, S. (1997). Productivity and undesirable outputs: A directional distance function approach. Journal of Environmental Management, 51(3), 229–240. https://doi.org/10.1006/jema.1997.0146
Duan, C., Zhou, Y., Cai, Y., Gong, W., Zhao, C., & Ai, J. (2022). Investigate the impact of human capital, economic freedom and governance performance on the economic growth of the BRICS. Journal of Enterprise Information Management, 35(4–5), 1323–1347. https://doi.org/10.1108/JEIM-04-2021-0179
Färe, R., & Grosskopf, S. (2000). Theory and application of directional distance functions. Journal of Productivity Analysis, 13, 93–103. https://doi.org/10.1023/A:1007844628920
Färe, R., Grosskopf, S., & Whittaker, G. (2007). Network DEA. In J. Zhu & W. D. Cook (Eds.), Modeling data irregularities and structural complexities in data envelopment analysis (pp. 209–240). Springer. https://doi.org/10.1007/978-0-387-71607-7_12
Färe, R., & Grosskopf, S. (2010). Directional distance functions and slacks-based measures of efficiency. European Journal of Operational Research, 200(1), 320–322. https://doi.org/10.1016/j.ejor.2009.01.031
Friedberg, R. M., & Hunt, J. (2018). The impact of immigrants on host country wages, employment and growth. In M. M. Suárez-Orozco, C. Suárez-Orozco, & D. Qin-Hilliard (Eds.), The new immigrant in the American economy (pp. 89–110). Routledge. https://doi.org/10.4324/9781315054193-4
Hangoma, P., & Surgey, G. (2019). Contradictions within the SDGs: Are sin taxes for health improvement at odds with employment and economic growth in Zambia. Globalization and Health, 15, Article 82. https://doi.org/10.1186/s12992-019-0510-x
Hogendoorn, B., Leopold, T., & Bol, T. (2020). Divorce and diverging poverty rates: A risk‐and‐vulnerability approach. Journal of Marriage and Family, 82(3), 1089–1109. https://doi.org/10.1111/jomf.12629
Kao, C. (2009). Efficiency decomposition in network data envelopment analysis: A relational model. European Journal of Operational Research, 192(3), 949–962. https://doi.org/10.1016/j.ejor.2007.10.008
Kapsos, S. (2004). Estimating growth requirements for reducing working poverty: Can the world halve working poverty by 2015? (Employment Strategy Papers). International Labour Office.
Kerr, W. C., Kaplan, M. S., Huguet, N., Caetano, R., Giesbrecht, N., & McFarland, B. H. (2017). Economic recession, alcohol, and suicide rates: Comparative effects of poverty, foreclosure, and job loss. American Journal of Preventive Medicine, 52(4), 469–475. https://doi.org/10.1016/j.amepre.2016.09.021
Kroft, K., & Notowidigdo, M. J. (2016). Should unemployment insurance vary with the unemployment rate? Theory and evidence. The Review of Economic Studies, 83(3), 1092–1124. https://doi.org/10.1093/restud/rdw009
Kuznets, S. (2019). Economic growth and income inequality. In M. A. Seligson (Ed.). The gap between rich and poor (pp. 25–37). Routledge. https://doi.org/10.4324/9780429311208-4
Menton, M., Larrea, C., Latorre, S., Martinez-Alier, J., Peck, M., Temper, L., & Walter, M. (2020). Environmental justice and the SDGs: From synergies to gaps and contradictions. Sustainability Science, 15, 1621–1636. https://doi.org/10.1007/s11625-020-00789-8
O’Donnell, C. J., Rao, D. P., & Battese, G. E. (2008). Metafrontier frameworks for the study of firm-level efficiencies and technology ratios. Empirical Economics, 34, 231–255. https://doi.org/10.1007/s00181-007-0119-4
Portela, M. S., Thanassoulis, E., & Simpson, G. (2004). Negative data in DEA: A directional distance approach applied to bank branches. Journal of the Operational Research Society, 55(10), 1111–1121. https://doi.org/10.1057/palgrave.jors.2601768
Ravallion, M. (1995). Growth and poverty: Evidence for developing countries in the 1980s. Economics Letters, 48(3–4), 411–417. https://doi.org/10.1016/0165-1765(94)00620-H
Ravallion, M. (2001). Growth, inequality and poverty: Looking beyond averages. World Development, 29(11), 1803–1815. https://doi.org/10.1016/S0305-750X(01)00072-9
Sen, A. (2020). The possibility of social choice. In S. Sarasvathy, N. Dew, & S. Venkataraman (Eds.), Shaping entrepreneurship research (pp. 298–339). Routledge. https://doi.org/10.4324/9781315161921-15
Shahbaz, M., Song, M., Ahmad, S., & Vo, X. V. (2022). Does economic growth stimulate energy consumption? The role of human capital and R&D expenditures in China. Energy Economics, 105, Article 105662. https://doi.org/10.1016/j.eneco.2021.105662
Shannon, C. E. (1948). A mathematical theory of communication. The Bell System Technical Journal, 27(3), 379–423. https://doi.org/10.1002/j.1538-7305.1948.tb01338.x
The State Council Information Office of the People’s Republic of China. (2021). White Paper on Chinese Practice of human poverty reduction (China’s Practice in Poverty Alleviation, April 6, 2021). https://www.gov.cn/zhengce/2021-04/06/content_5597952.htm
Tone, K., & Tsutsui, M. (2014). Dynamic DEA with network structure: A slacks-based measure approach. Omega, 42(1), 124–131. https://doi.org/10.1016/j.omega.2013.04.002
Wan, G., Hu, X., & Liu, W. (2021). China’s poverty reduction miracle and relative poverty: Focusing on the roles of growth and inequality. China Economic Review, 68, Article 101643. https://doi.org/10.1016/j.chieco.2021.101643
Wang, H., Li, S., & Zhang, H. (2024). Nexus between country governance, globalization, sustainable development policy, fair trade and economic sustainability: A mediation-moderation approach. Technological and Economic Development of Economy, 30(5), 1435–1456. https://doi.org/10.3846/tede.2024.21751
Zhang, Y., Zhou, X., & Lei, W. (2017). Social capital and its contingent value in poverty reduction: Evidence from Western China. World Development, 93, 350–361. https://doi.org/10.1016/j.worlddev.2016.12.034
Zhang, J., Wang, S., Pradhan, P., Zhao, W., & Fu, B. (2022). Untangling the interactions among the Sustainable Development Goals in China. Science Bulletin, 67(9), 977–984. https://doi.org/10.1016/j.scib.2022.01.006
Zhou, Y., Li, Y., & Liu, Y. (2020). The nexus between regional eco-environmental degradation and rural impoverishment in China. Habitat International, 96, Article 102086. https://doi.org/10.1016/j.habitatint.2019.102086
Zou, W., Cheng, X., Fan, Z., & Lin, C. (2023). Measuring and decomposing relative poverty in China. Land, 12(2), Article 316. https://doi.org/10.3390/land12020316
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