Barrett, C. B., Travis, A. J., & Dasgupta, P. (2011). On biodiversity conservation and poverty traps. Proceedings of the National Academy of Sciences, 108(34), 13907–13912.
https://doi.org/10.1073/pnas.1011521108
Barrett, C. B., & Bevis, L. E. M. (2015). The self-reinforcing feedback between low soil fertility and chronic poverty. Nature Geoscience, 8(12), 907–912.
https://doi.org/10.1038/ngeo2591
Baum-Snow, N., Henderson, J. V., Turner, M., et al. (2018). Does Investment in National Highways Help or Hurt Hinterland City Growth? National Bureau of Economic Research.
https://doi.org/10.3386/w24596
Berliant, M. & Konishi, H. (2000). The endogenous formation of a city: population agglomeration and marketplaces in a location-specific production economy. Regional Science & Urban Economics, 30, 289-324.
Cao, S., Zheng, X., Chen, L., et al. (2017). Using the green purchase method to help farmers escape the poverty trap in semiarid China. Agronomy for Sustainable Development, 37(2).
https://doi.org/10.1007/s13593-017-0420-3
Centers for Disease Control and Prevention. (2010). Racial/ethnic disparities and geographic differences in lung cancer incidence—38 states and the District of Columbia, 1998–2006. Morbidity and Mortality Weekly Report, 59, 1433-1438.
Chenery, H. (1986) Growth and Transformation. Oxford University Press.
Crespo Cuaresma, J., Fengler, W., Kharas, H., et al. (2018). Will the Sustainable Development Goals be fulfilled? Assessing present and future global poverty. Palgrave Communications, 4(1).
https://doi.org/10.1057/s41599-018-0083-y
Guo, Y., Zhou, Y., & Cao, Z. (2019). Geographical patterns and anti-poverty targeting post-2020 in China. Journal of Geographical Sciences, 28, 1810-1824.
Hansen, B.E., (1999). Threshold effects in non-dynamic panels: estimation, testing, and inference. Journal of Economics, 93, 345–368.
Kates, R. W., & Dasgupta, P. (2007). African poverty: A grand challenge for sustainability science. Proceedings of the National Academy of Sciences, 104(43), 16747–16750.
https://doi.org/10.1073/pnas.0708566104
Kroft, K., Lange, F., Notowidigdo, M. J., et al. (2016). Long-Term Unemployment and the Great Recession: The Role of Composition, Duration Dependence, and Nonparticipation. Journal of Labor Economics, 34(S1), S7–S54.
https://doi.org/10.1086/682390
Lade, S. J., Haider, L. J., Engström, G., et al. (2017). Resilience offers escape from trapped thinking on poverty alleviation. Science Advances, 3(5).
https://doi.org/10.1126/sciadv.1603043
Louveaux, F., Thisse, J. F., & Beguin, H. (1982). Location theory and transportation costs. Regional Science & Urban Economics, 12, 529-545.
Ma, Z., Chen, X., & Chen, H. (2018). Multi-scale Spatial Patterns and Influencing Factors of Rural Poverty: A Case Study in the Liupan Mountain Region, Gansu Province, China. Chinese Geographical Science, 28(2), 296–312.
https://doi.org/10.1007/s11769-018-0943-9
Mabogunje, A. L. (2007). Tackling the African “poverty trap”: The Ijebu-Ode experiment. Proceedings of the National Academy of Sciences, 104(43), 16781–16786.
https://doi.org/10.1073/pnas.0704765104
Murphy, K. M., Shleifer, A., & Vishny, R. W. (1989). Industrialization and the Big Push. Journal of Political Economy, 97(5), 1003–1026.
https://doi.org/10.1086/261641
National Bureau of Statistics. (2017). Statistical Yearbook of China. China Statistics Press.
National Bureau of Statistics. (2017). Statistical Communique on National Economy and Social Development of China. China Statistics Press.
Okwi, P. O., Ndeng’e, G., Kristjanson, P., et al. (2007). Spatial determinants of poverty in rural Kenya. Proceedings of the National Academy of Sciences, 104(43), 16769–16774.
https://doi.org/10.1073/pnas.0611107104
Partridge, M., Bollman, R. D., Olfert, M. R., et al. (2007). Riding the Wave of Urban Growth in the Countryside: Spread, Backwash, or Stagnation? Land Economics, 83(2), 128–152.
https://doi.org/10.3368/le.83.2.128
Vinod, T. (2010). Spatial differences in poverty: the case of Peru. Journal of Development Economics, 7, 85-98.
Yu, C., & Luo, Z. (2018). What are China’s real gains within global value chains? Measuring domestic value added in China’s exports of manufactures. China Economic Review, 47, 263–273.
https://doi.org/10.1016/j.chieco.2017.08.010