Research article

Does structural deceleration happen in China? Evidence from the effect of industrial structure on economic growth quality

  • Received: 20 April 2020 Accepted: 05 May 2020 Published: 09 May 2020
  • JEL Codes: C23, D24, O12

  • China's economy has experienced high-speed development, followed by structural deceleration according to law of development. Does it happen in China? This is the problem focused on in this paper. We explore the appearance for structural deceleration in China through the relation between industrial structure and economic growth quality. The green total factor productivity is selected as the measurement assessing the economic growth quality. We use the Global Malmquist-Luenberger index to measure economic growth quality of China for 30 Chinese provinces over the period of 1998 to 2015. First, the panel regression model is used to show a positive effect of industrial structure on economic growth quality with full sample as well as subsample in the east of China. Negative effects of industrial structure are shown in the middle and west of China. Then the structural deceleration is captured by panel quantile regression model. We claim that structural deceleration indeed happens in China through a decreased contribution of industrial structure to the economic growth quality at different quantiles. However, industrial structure in the east of China still plays a positive role in accelerating the economic growth quality, while its negative effect is anabatic in the middle of China. Finally, we investigate the influencing mechanism of industrial structure on economic growth quality represented by the moderating effects of human capital, innovation capacity and economic development level. All of them show positive moderating effects. The human capital and innovation capacity show heterogeneous at different levels of economic growth quality, contrary to economic development level. Some policy implications are derived according to the results achieved in this the pap

    Citation: Tinghui Li, Xue Li. Does structural deceleration happen in China? Evidence from the effect of industrial structure on economic growth quality[J]. National Accounting Review, 2020, 2(2): 155-173. doi: 10.3934/NAR.2020009

    Related Papers:

  • China's economy has experienced high-speed development, followed by structural deceleration according to law of development. Does it happen in China? This is the problem focused on in this paper. We explore the appearance for structural deceleration in China through the relation between industrial structure and economic growth quality. The green total factor productivity is selected as the measurement assessing the economic growth quality. We use the Global Malmquist-Luenberger index to measure economic growth quality of China for 30 Chinese provinces over the period of 1998 to 2015. First, the panel regression model is used to show a positive effect of industrial structure on economic growth quality with full sample as well as subsample in the east of China. Negative effects of industrial structure are shown in the middle and west of China. Then the structural deceleration is captured by panel quantile regression model. We claim that structural deceleration indeed happens in China through a decreased contribution of industrial structure to the economic growth quality at different quantiles. However, industrial structure in the east of China still plays a positive role in accelerating the economic growth quality, while its negative effect is anabatic in the middle of China. Finally, we investigate the influencing mechanism of industrial structure on economic growth quality represented by the moderating effects of human capital, innovation capacity and economic development level. All of them show positive moderating effects. The human capital and innovation capacity show heterogeneous at different levels of economic growth quality, contrary to economic development level. Some policy implications are derived according to the results achieved in this the pap


    加载中


    [1] Adom PK, Bekoe W, Amuakwa-Mensah F, et al. (2012) Carbon dioxide emissions, economic growth, industrial structure, and technical efficiency: Empirical evidence from Ghana, Senegal, and Morocco on the causal dynamics. Energy 47: 314-325. doi: 10.1016/j.energy.2012.09.025
    [2] Ambec S, Cohen MA, Elgie S, et al. (2013) The Porter hypothesis at 20: can environmental regulation enhance innovation and competitiveness? Rev Environ Econ Policy 7: 2-22. doi: 10.1093/reep/res016
    [3] Canay IA (2011) A simple approach to quantile regression for panel data. Econometrics J 14: 368-386. doi: 10.1111/j.1368-423X.2011.00349.x
    [4] Corradini M, Costantini V, Mancinelli S, et al. (2014) Unveiling the dynamic relation between R&D and emission abatement: national and sectoral innovation perspectives from the EU. Ecol Econ 102: 48-59. doi: 10.1016/j.ecolecon.2014.03.017
    [5] Cheng Z, Li L, Liu J (2018) Industrial structure, technical progress and carbon intensity in China's provinces. Renew Sust Energy Rev 81: 2935-2946. doi: 10.1016/j.rser.2017.06.103
    [6] Cheng Y, Shao T, Lai H, et al. (2019) Total-Factor Eco-Efficiency and Its Influencing Factors in the Yangtze River Delta Urban Agglomeration, China. Int J Environ Res Public Health 16: 3814. doi: 10.3390/ijerph16203814
    [7] Dickey DA, Fuller WA (1981) Likelihood ratio statistics for autoregressive time series with a unit root. Econometrica J Econometric Society, 1057-1072.
    [8] Ding S, Knight J (2009) Why has China grown so fast? The role of structural change. Department of Economics Discussion Paper No. 415
    [9] Feldman MP, Audretsch DB (1999) Innovation in cities: Science-based diversity, specialization and localized competition. Eur Econ Rev 43: 409-429. doi: 10.1016/S0014-2921(98)00047-6
    [10] Fukuyama H, Weber WL (2009) A directional slacks-based measure of technical inefficiency. Socio-Econ Plann Sci 43: 274-287. doi: 10.1016/j.seps.2008.12.001
    [11] Feng C, Huang JB, Wang M (2018) Analysis of green total-factor productivity in China's regional metal industry: A meta-frontier approach. Resour Policy 58: 219-229. doi: 10.1016/j.resourpol.2018.05.008
    [12] Goldsmith RW (1951) A perpetual inventory of national wealth. Stud Income Wealth 14: 5-73.
    [13] Hausman JA (1978) Specification tests in econometrics. Econometrica J Econometric Society, 1251-1271.
    [14] He F, Zhang Q, Lei J, et al. (2013) Energy efficiency and productivity change of China's iron and steel industry: Accounting for undesirable outputs. Energy Policy 54: 204-213. doi: 10.1016/j.enpol.2012.11.020
    [15] Hashmi R, Alam K (2019) Dynamic relationship among environmental regulation, innovation, CO2 emissions, population, and economic growth in OECD countries: A panel investigation. J Clean Prod 231: 1100-1109. doi: 10.1016/j.jclepro.2019.05.325
    [16] Kanamura T (2017) Supply-side perspective for carbon pricing. Quant Financ Econ 3: 109-123.
    [17] Kwakwa PA, Alhassan H, Aboagye S (2018) Environmental Kuznets curve hypothesis in a financial development and natural resource extraction context: evidence from Tunisia. Quant Financ Econ 2: 981-1000. doi: 10.3934/QFE.2018.4.981
    [18] Levin A, Lin CF, Chu CSJ (2002) Unit root tests in panel data: asymptotic and finite-sample properties. J Econometrics 108: 1-24. doi: 10.1016/S0304-4076(01)00098-7
    [19] Li B, Wu S (2017) Effects of local and civil environmental regulation on green total factor productivity in China: A spatial Durbin econometric analysis. J Clean Prod 153: 342-353. doi: 10.1016/j.jclepro.2016.10.042
    [20] Li K, Lin B (2016) Impact of energy conservation policies on the green productivity in China's manufacturing sector: Evidence from a three-stage DEA model. Appl Energy 168: 351-363. doi: 10.1016/j.apenergy.2016.01.104
    [21] Li Z, Dong H, Huang Z, et al. (2019) Impact of foreign direct investment on environmental performance. Sustainability 11: 3538. doi: 10.3390/su11133538
    [22] Li Z, Liao G, Albitar K (2019) Does corporate environmental responsibility engagement affect firm value? The mediating role of corporate innovation. Bus Strategy Environ 29: 1045-1055.
    [23] Li Z, Liao G, Wang Z, et al. (2018) Green loan and subsidy for promoting clean production innovation. J Clean Prod 187: 421-431. doi: 10.1016/j.jclepro.2018.03.066
    [24] Li Z, Zhong J (2019) Impact of economic policy uncertainty shocks on China's financial conditions. Financ Res Lett.
    [25] Liu Z, Xin L (2019) Has China's Belt and Road Initiative promoted its green total factor productivity?-Evidence from primary provinces along the route. Energy Policy 129: 360-369.
    [26] Long X, Wu C, Zhang J, et al. (2018) Environmental efficiency for 192 thermal power plants in the Yangtze River Delta considering heterogeneity: a metafrontier directional slacks-based measure approach. Renew Sust Energy Rev 82: 3962-3971. doi: 10.1016/j.rser.2017.10.077
    [27] Miles I (2008) Patterns of innovation in service industries. IBM Syst J 47: 115-128. doi: 10.1147/sj.471.0115
    [28] Müller UK, Elliott G (2003) Tests for unit roots and the initial condition. Econometrica 71: 1269-1286. doi: 10.1111/1468-0262.00447
    [29] Oh DH (2010) A global Malmquist-Luenberger productivity index. J Prod Anal 34: 183-197. doi: 10.1007/s11123-010-0178-y
    [30] Song M, Du J, Tan KH (2018) Impact of fiscal decentralization on green total factor productivity. Int J Prod Econ 205: 359-367. doi: 10.1016/j.ijpe.2018.09.019
    [31] Tripathy N (2019) Does measure of financial development matter for economic growth in India? Quant Financ Econ 3: 508-525. doi: 10.3934/QFE.2019.3.508
    [32] Wen F, Min F, Zhang YJ, et al. (2019) Crude oil price shocks, monetary policy, and China's economy. Int J Financ Econ 24: 812-827. doi: 10.1002/ijfe.1692
    [33] Zhang JS, Tan W (2016) Study on the green total factor productivity in main cities of China. Zbornik Radova Ekonomski Fakultet u Rijeka 34: 215.
    [34] Zhang YJ, Liu Z, Zhang H, et al. (2014) The impact of economic growth, industrial structure and urbanization on carbon emission intensity in China. Natural Hazards 73: 579-595. doi: 10.1007/s11069-014-1091-x
    [35] Zhou X, Zhang J, Li J (2013) Industrial structural transformation and carbon dioxide emissions in China. Energy Policy 57: 43-51. doi: 10.1016/j.enpol.2012.07.017
  • Reader Comments
  • © 2020 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(4439) PDF downloads(280) Cited by(16)

Article outline

Figures and Tables

Figures(1)  /  Tables(10)

Other Articles By Authors

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog