Automation impacts on China’s polarized job market
Tóm tắt
Từ khóa
Tài liệu tham khảo
Frey, C. B., & Osborne, M. A. (2017). The future of employment: How susceptible are jobs to computerisation? Technological Forecasting and Social Change, 114, 254–280.
Arntz, M., Gregory, T., & Zierahn, U. (2016). The risk of automation for jobs in OECD countries: A comparative analysis. Working Paper No. 189. Paris, France: OECD Publishing.
Fuei, L. K. (2017). Automation, computerization and future employment in Singapore. Journal of Southeast Asian Economies, 34, 388–399.
Bowles, J. (2014). The computerization of European jobs [Online]. Brussels: Bruegel. Available: https://www.bruegel.org/2014/07/the-computerisation-of-european-jobs. Accessed 6 Mar 2020.
World Bank Group. (2016). World development report 2016: digital dividends. World Bank Publications.
Chang, J. H., Rynhart, G., & Phu, H. (2016). ASEAN in transformation: How technology is changing jobs and enterprises, International Labour Organization, Geneva.
Frey, C. B., Osborne, M., Holmes, C., Rahbari, E., Garlick, R., Friedlander, G., & Chalif, P. (2016). Technology at work v2. 0: The future is not what it used to be (p. 338). CityGroup and University of Oxford.
Chui, M., Manyika, J., & Miremadi, M. (2016). Where machines could replace humans—and where they can’t (yet). McKinsey Quarterly, 30(2), 1–9.
Manyika, J., Chui, M., & Miremadi, M. (2017). A future that works: AI, automation, employment, and productivity (p. 60). McKinsey Global Institute Research.
Frank, M. R., Sun, L., Cebrian, M., Youn, H., & Rahwan, I. (2018). Small cities face greater impact from automation. Journal of The Royal Society Interface, 15(139), 20170946.
Xie, Y., & Zhou, X. (2014). Income inequality in today’s China. Proceedings of the National Academy of Sciences, 111(19), 6928–6933.
Brelsford, C., Lobo, J., Hand, J., & Bettencourt, L. M. (2017). Heterogeneity and scale of sustainable development in cities. Proceedings of the National Academy of Sciences, 114(34), 8963–8968.
Cheng, H., Jia, R., Li, D., & Li, H. (2019). The rise of robots in China. Journal of Economic Perspectives, 33(2), 71–88.
Giuntella, O., & Wang, T. (2019). Is an Army of Robots Marching on Chinese Jobs?, IZA Discussion Papers, No. 12281, Institute of Labor Economics (IZA), Bonn.
Yeh, A. G. O., & Wu, F. (1999). The transformation of the urban planning system in China from a centrally-planned to transitional economy. Progress in Planning, 51(3), 167–252.
T. Economist. (2017). China pushes towns to brand themselves, then regrets it. The Economist. https://www.economist.com/news/china/21732826-officials-beijing-fret-local-boosters-are-getting-carried-away-china-pushes-towns-brand. Accessed 19 Dec 2017.
Duranton, G., & Puga, D. (2000). Diversity and specialisation in cities: Why, where and when does it matter? Urban Studies, 37(3), 533–555.
Zhu, S., He, C., & Zhou, Y. (2017). How to jump further and catch up? Path-breaking in an uneven industry space. Journal of Economic Geography, 17(3), 521–545.
Lixu, L. (2004). China’s higher education reform 1998–2003: A summary. Asia Pacific education review, 5(1), 14.
Jiang, Y., & Shen, J. (2010). Measuring the urban competitiveness of Chinese cities in 2000. Cities, 27(5), 307–314.
Zheng, S., & Kahn, M. E. (2013). China’s bullet trains facilitate market integration and mitigate the cost of megacity growth. Proceedings of the National Academy of Sciences, 110(14), E1248–E1253.
Kumar, U., Kumar, V., & Kapur, J. N. (1986). Normalized measures of entropy. International Journal Of General System, 12(1), 55–69.
Eagle, N., Macy, M., & Claxton, R. (2010). Network diversity and economic development. Science, 328(5981), 1029–1031.
Hidalgo, C. A., Klinger, B., Barabási, A. L., & Hausmann, R. (2007). The product space conditions the development of nations. Science, 317(5837), 482–487.
Simpson, E. H. (1951). The interpretation of interaction in contingency tables. Journal of the Royal Statistical Society, 13(2), 238–241.
Chiesura, A. (2004). The role of urban parks for the sustainable city. Landscape and Urban Planning, 68(1), 129–138.
Zhu, J. (1998). Data envelopment analysis vs. principal component analysis: An illustrative study of economic performance of Chinese cities. European Journal of Operational Research, 111(1), 50–61.
Krugman, P. (1980). Scale economies, product differentiation, and the pattern of trade. The American Economic Review, 70(5), 950–959.
Bessen, J. (2015). Learning by doing: The real connection between innovation, wages, and wealth. Yale University Press.
Muneepeerakul, R., Lobo, J., Shutters, S. T., Goméz-Liévano, A., & Qubbaj, M. R. (2013). Urban economies and occupation space: Can they get “there” from “here”? PLoS ONE, 8(9), e73676.
Brynjolfsson, E., & McAfee, A. (2014). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. WW Norton & Company.
Spitz-Oener, A. (2006). Technical change, job tasks, and rising educational demands: Looking outside the wage structure. Journal of Labor Economics, 24(2), 235–270.
Bettencourt, L. M., Lobo, J., Helbing, D., Kühnert, C., & West, G. B. (2007). Growth, innovation, scaling, and the pace of life in cities. Proceedings of the National Academy of Sciences, 104(17), 7301–7306.
Melo, P. C., Graham, D. J., & Noland, R. B. (2009). A meta-analysis of estimates of urban agglomeration economies. Regional Science and Urban Economics, 39(3), 332–342.
Strano, E., & Sood, V. (2016). Rich and poor cities in Europe. An urban scaling approach to mapping the European economic transition. PLoS ONE, 11(8), e0159465.
David, H. J. J. O. E. P. (2015). Why are there still so many jobs? The history and future of workplace automation. Journal of Economic Perspectives, 29(3), 3–30.