The Coupling Coordination Relationship between Urban Economic Upgrading and Labor Employment Based on GTAP Model
DOI: 10.54647/economics790383 100 Downloads 161182 Views
Author(s)
Abstract
In order to investigate the coupling coordination relationship between urban economic upgrading and labor employment, a computational model based on GTAP is proposed in the research. The main content is that based on the basic principle of GTAP model, the sum calculation of regions and departments is selected, the time cost is introduced into the GTAP model, the relevant research on the employment of labor population is conducted, and the results such as the impact of labor quality improvement on China's industry is finally obtained. The experimental results show that, based on the calculation of GTAP model, the decrease of unskilled labor force and the increase of skilled labor force will lead to the decrease of the output of unskilled intensive industry by 0.80%, the increase of the output of skilled labor intensive industry by 0.24%, and the increase of the output of capital intensive industry and service industry by 0.29% and 0.20% respectively. But the output of agriculture, food processing and mineral resources decrease by 0.71%, 0.53% and 0.29 %, respectively. It is concluded that the GTAP model proposed in the research has high prediction accuracy and high feasibility for the coupling coordination relationship between urban economic upgrading and employment of labor population.
Keywords
GTAP model; urban economic upgrading; employment of labor population; skilled labor force
Cite this paper
Hongyi Sun,
The Coupling Coordination Relationship between Urban Economic Upgrading and Labor Employment Based on GTAP Model
, SCIREA Journal of Economics.
Volume 8, Issue 2, April 2023 | PP. 115-131.
10.54647/economics790383
References
[ 1 ] | Sun, D. , Xin, Y. , Zhao, Y. , Kang, J. , Ni, Z. , & Li, M. , et al. (2021). Subjective assessment research of middle pressure regulator boxes in urban gas industry. IOP Conference Series: Earth and Environmental Science, 634(1), 012039 (9pp). |
[ 2 ] | Aldaarmi, A. . (2021). The short- and long-term effects of financial sector development on economic growth in saudi arabia: an ardl model analysis. International Journal of Economics and Finance, 13(9), 25. |
[ 3 ] | Wala, M. , & Nowakowski, P. . (2020). Investigating the economic efficiency of waste collection and transportation – case study for urban and rural municipalities in poland. Transport Problems, 15(2), 93-105. |
[ 4 ] | Singh, A. K. . (2021). Population growth and economic development: theoretical arguments and empirical findings— a survey of literature. Indian Journal of Human Development, 15(3), 486-502. |
[ 5 ] | Prakash, N. , Angrist, J. , Azam, M. , Bertrand, M. , & Ujhelyi, G. . (2020). The impact of employment quotas on the economic lives of disadvantaged minorities in india. Journal of Economic Behavior & Organization, 180(4), 5931-5936. |
[ 6 ] | Malins, C. , Plevin, R. , & Edwards, R. . (2020). How robust are reductions in modeled estimates from gtap-bio of the indirect land use change induced by conventional biofuels? Journal of Cleaner Production, 258(3), 120716. |
[ 7 ] | Rahman, A. , Aziz, T. , Nahid - Al-Masood, & Deeba, S. R. . (2021). A time of use tariff scheme for demand side management of residential energy consumers in bangladesh. Energy Reports, 7(1), 3189-3198. |
[ 8 ] | Kamugisha, G. , & Assoua, J. E. . (2020). Effects of a devaluation on trade balance in uganda: an ardl cointegration approach. International Journal of Economics and Finance, 12(7), 42. |
[ 9 ] | Yang, J. , Zhao, Y. , Wan, L. , & Chen, H. . (2021). International trade barriers and countermeasures of chinese medicinal materials based on big data. Journal of Physics: Conference Series, 1852(3), 032032 (7pp). |
[ 10 ] | Hong, Y. , Qu, B. , Wang, Y. , & Liu, T. . (2021). A comparative analysis on the import and export trade patterns of china's mechanical and electrical products. Journal of Physics: Conference Series, 1978(1), 012064 (6pp). |
[ 11 ] | Dou, T. , Li, Z. , Zhang, J. , Evilevitch, A. , & Kurouski, D. . (2020). Nanoscale structural characterization of individual viral particles using atomic force microscopy infrared spectroscopy (afm-ir) and tip-enhanced raman spectroscopy (ters). Analytical Chemistry, 92(16), 11297-11304. |
[ 12 ] | Chon, Y. C. . (2021). An observation on value for money & meaning for money as premium affective design factors of production car development. Transactions of Korean Society of Automotive Engineers, 29(1), 75-83. |
[ 13 ] | Yerdianti, A. , & Aziz, R. . (2021). Environmental impact evaluation of crumb rubber industry production process by life cycle assessment (lca) method (case study: pt frp). IOP Conference Series: Earth and Environmental Science, 896(1), 012046 (10pp). |
[ 14 ] | Waller-Wise, R. , Lewis, S. , & Williams, B. . (2020). A quality improvement project utilizing a clinical practice guideline in women during second-stage labor. Journal of Perinatal Education, 29(2), 72-82. |
[ 15 ] | Zhang, L. , Wu, M. , Bai, W. , Jin, Y. , & Ren, J. . (2021). Measuring coupling coordination between urban economic development and air quality based on the fuzzy bwm and improved ccd model. Sustainable Cities and Society, 75(3), 103283. |
[ 16 ] | Bi, X. , Niu, B. , Liang, X. , & Li, C. . (2020). Research on coordinated development of urban energy system and economic system--based on coupling coordination model. IOP Conference Series: Earth and Environmental Science, 467(1), 012196 (7pp). |
[ 17 ] | Liu, K. , Qiao, Y. , Shi, T. , & Zhou, Q. . (2021). Study on coupling coordination and spatiotemporal heterogeneity between economic development and ecological environment of cities along the yellow river basin. Environmental Science and Pollution Research, 28(7), 1-15. |
[ 18 ] | Li, Z. , Xie, M. , Wang, H. , Chen, B. , Wu, R. , & Chen, Y. . (2022). The spatiotemporal heterogeneity of the relationship between pm2.5concentrations and the surface urban heat island effect in beijing, china:. Progress in Physical Geography: Earth and Environment, 46(1), 84-104. |
[ 19 ] | Koido, Y. , Kita, T. , Limpaporn, S. , Silapunt, P. , Ikeda, S. , & Toyokuni, Y. . (2022). Impact of the arch project on national capacity development on disaster health management among the asean member states and japan. Prehospital and Disaster Medicine, 37(S1), s44-s50. |
[ 20 ] | Bosco, F. A. , Rubenstein, A. L. , Morrison, H. M. , & Whiting, S. W. . (2022). More money, more problems? an examination of the dynamic relationship between income and work–family conflict. Journal of Occupational and Organizational Psychology, 95(2), 305-331. |
[ 21 ] | Jyotsna Dogra, Shruti Jain, Ashutosh Sharma, Rajiv Kumar and Meenakshi Sood.(2020).Brain Tumor Detection from MR Images Employing Fuzzy Graph Cut Technique.Recent Advances in Computer Science and Communications,13(3),362 - 369. |
[ 22 ] | P., Ajay & J., Jaya. (2022). Bi-level energy optimization model in smart integrated engineering systems using WSN. Energy Reports. 8. 2490-2495. |
[ 23 ] | Zhao, X. L. , Liu, X. , Liu, J. , Chen, J. , Fu, S. , & Zhong, F. . (2019). The effect of ionization energy and hydrogen weight fraction on the non-thermal plasma vocs removal efficiency. Journal of Physics D Applied Physics. |
[ 24 ] | R. Huang, X. Yang, "The application of TiO2 and noble metal nanomaterials in tele materials," Journal of Ceramic Processing Research, vol. 23, no. 2, pp. 213–220, 2022. |
[ 25 ] | Zhan, X., Mu, Z., Kumar, R. & Shabaz, M. (2021). Research on speed sensor fusion of urban rail transit train speed ranging based on deep learning. Nonlinear Engineering, 10(1), 363-373. |