Can talent allocation drive transformation and upgrading of export trade through technological innovation under low-carbon background
Abstract
Under the low-carbon background, regional talent allocation and transformation and upgrading of export trade are all important issues of common concern among academic circles in the stage of sustainable economic and environmental development. This paper explores talent allocation’s impact on the transformation and upgrading of export trade. Based on the results, the improvement in regional talent allocation level has significantly increased the percentage of regional general trade exports. It is conducive to the trans- formation and upgrading of export trade, and such an influence also shows the nonlinear characteristic of increasing “marginal effect”. This conclusion still stands after a series of robustness tests. According to the influencing mechanism test results, the technological innovation brought by the improvement in regional talent allocation level is an important transmission channel for such improvement to facilitate the transformation and upgrading of export trade. Based on the multi-dimensional analysis of the results of transformation and upgrading of export trade, regional talent allocation has significantly enhanced the complexity of exported technologies and actively promoted innovation among exporters. The research provides important inspiration for further promoting the structural reform of regional talent allocation and facilitating the transformation and upgrading of export trade patterns.
First published online 12 February 2025
Keyword : regional talent allocation, transformation and upgrading of export trade, technological innovation, low-carbon economy, sustainability
How to Cite
Kong, D.-D., Jin, Z.-H., & Wang, R. (2025). Can talent allocation drive transformation and upgrading of export trade through technological innovation under low-carbon background. Technological and Economic Development of Economy, 1–23. https://doi.org/10.3846/tede.2025.22506
This work is licensed under a Creative Commons Attribution 4.0 International License.
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Chen, W., Hu, Y., Liu, B., Wang, H., & Zheng, M. (2022b). Does the establishment of pilot free trade test zones promote the transformation and upgradation of trade patterns? Economic Analysis and Policy, 76, 114–128. https://doi.org/10.1016/j.eap.2022.07.012
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Grossman, G. M. (2004). The distribution of talent and the pattern and consequences of international trade. Journal of Political Economy, 112(1), 209–239. https://doi.org/10.1086/379935
Guo, F., Wang, J., Wang, F., Kong, T., Zhang, X., & Cheng, Z. (2020). Measuring the development of digital inclusive finance in China: Index compilation and spatial characteristics. China Economic Quarterly, 19(4), 1401–1418. https://doi.org/10.13821/j.cnki.ceq.2020.03.12
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Harding, T., & Javorcik, B. S. (2012). Foreign direct investment and export upgrading. The Review of Economics and Statistics, 94(4), 964–980. https://doi.org/10.1162/REST_a_00226
Harris, R. G., & Robertson, P. E. (2013). Trade, wages and skill accumulation in the emerging giants. Journal of International Economics, 89(2), 407–421. https://doi.org/10.1016/j.jinteco.2012.08.011
Hausmann, R., Hwang, J., & Rodrik, D. (2007). What you export matters. Journal of Economic Growth, 12, 1–25. https://doi.org/10.1007/s10887-006-9009-4
Huang, J., Balezentis, T., Shen, S., & Streimikienė, D. (2023). Human capital mismatch and innovation performance in high-technology enterprises: An analysis based on the micro-level perspective. Journal of Innovation & Knowledge, 8(4), Article 100452. https://doi.org/10.1016/j.jik.2023.100452
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DRCNET Statistical Database System. (2011–2021). https://guoyanwang.clcn.net.cn/DRCNet.OLAP.BI/web/default.aspx
Jiang, M., & Jia, P. (2022). Does the level of digitalized service drive the global export of digital service trade? Evidence from global perspective. Telematics and Informatics, 72, Article 101853. https://doi.org/10.1016/j.tele.2022.101853
Jin, Y. (2005). An institutional explanation of wage industry differences. Statistical Research, 4, 10–15. https://doi.org/10.19343/j.cnki.11-1302/c.2005.04.002
Kato, M., Okamuro, H., & Honjo, Y. (2015). Does founders’ human capital matter for innovation? Evidence from Japanese start‐ups. Journal of Small Business Management, 53(1), 114–128. https://doi.org/10.1111/jsbm.12094
Lai, D. S., & Ji, W. W. (2015). Human capital allocation and innovation. Economic Perspectives, 3, 22–30.
Li, B., Li, L., Li, R., & Yue, Y. (2023). Internet and firms’ exports and imports: Firm level evidence from China. The World Economy, 46(3), 835–872. https://doi.org/10.1111/twec.13310
Li, Y., Chen, J., Li, L., & Huang, X. (2024). Government innovation awards, innovation funds acquisition and enterprise innovation. Economic Analysis and Policy, 82, 846–864. https://doi.org/10.1016/j.eap.2024.04.021
Liu, Q., & Tie, Y. (2020). The mystery of enterprise employment structure, intermediate input and export product quality change. Journal of Management World, 38(3), 1–23. https://doi.org/10.19744/j.cnki.11-1235/f.2020.0031
Lu, J., Wang, T., Yuan, Y., & Chen, H. (2023). Do industrial robots improve export product quality of multi-product enterprises? Evidence in China. Emerging Markets Finance and Trade, 60(8), 1691–1715. https://doi.org/10.1080/1540496X.2023.2278652
Lucas, R. E. (1988). On the mechanics of economic development. Journal of Monetary Economics, 22(1), 3–42. https://doi.org/10.1016/0304-3932(88)90168-7
Manova, K., & Yu, Z. (2016). How firms export: Processing vs. ordinary trade with financial frictions. Journal of International Economics, 100, 120–137. https://doi.org/10.1016/j.jinteco.2016.02.005
Murphy, K. M., Shleifer, A., & Vishny, R. W. (1991). The allocation of talent: Implications for growth. The Quarterly Journal of Economics, 106(2), 503–530. https://doi.org/10.2307/2937945
National Bureau of Statistics. (2012–2022). China statistical yearbook. https://www.stats.gov.cn/sj/ndsj/
Qin, B., & Gao, A. G. (2020). The impact of intellectual property demonstration city construction on the optimization and upgrading of industrial structure: Empirical evidence based on difference-in-difference method. Industrial Economics Research, (5), 45–57. https://doi.org/10.13269/j.cnki.ier.2020.05.004
Ramírez, S., Gallego, J., & Tamayo, M. (2020). Human capital, innovation and productivity in Colombian enterprises: A structural approach using instrumental variables. Economics of Innovation and New Technology, 29(6), 625–642. https://doi.org/10.1080/10438599.2019.1664700
Romer, P. M. (1986). Increasing returns and long-run growth. Journal of Political Economy, 94(5), 1002–1037. https://doi.org/10.1086/261420
Rong, Z., & Wu, B. (2020). Scientific personnel reallocation and firm innovation: Evidence from China’s college expansion. Journal of Comparative Economics, 48(3), 709–728. https://doi.org/10.1016/j.jce.2019.12.005
Ruan, S. M., & Zhang, M. (2020). Financial agglomeration and macro investment: An empirical analysis based on quantile regression and mediation effect model. Finance and Trade Research, 31(9), 40–52.
Stojčić, N., Vojinić, P., & Aralica, Z. (2018). Trade liberalization and export transformation in new EU member states. Structural Change and Economic Dynamics, 47, 114–126. https://doi.org/10.1016/j.strueco.2018.08.004
Strenze, T. (2013). Allocation of talent in society and its effect on economic development. Intelligence, 41(3), 193–202. https://doi.org/10.1016/j.intell.2013.03.002
Suseno, Y., Standing, C., Kiani-Mavi, R., & Jackson, P. (2020). National innovation performance: The role of human capital and social capital. Innovation: The European Journal of Social Science Research, 33(3), 296–310. https://doi.org/10.1080/13511610.2018.1536536
Vandenbussche, J., Aghion, P., & Meghir, C. (2006). Growth, distance to frontier and composition of human capital. Journal of Economic Growth, 11, 97–127. https://doi.org/10.1007/s10887-006-9002-y
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