China’s Economic Growth in 2010–2017: Analysis from the Perspective of the Input-Output Model and Modern Monetary Theory

The article aims to analyze the external and internal growth factors of the People’s Republic of China in 2010–2017. The authors use methods such as input-output modeling, statistical methods, content analysis of scientific publications. The study explores different perspectives on China’s rapid economic growth in recent decades. In particular, the authors consider neoclassical models that investigate and explain the dynamics of the Chinese economy due to the accumulation and development of factors of domestic production. Some studies are analyzed, which consider economic growth as a result of the final demand, both internal and external, on the basis of the input-output approach. The article examines the views that interpret the monetary policy as one of the most important factors in stimulating economic growth. The authors, based on the economic growth decomposition method, determine the components due to domestic demand and the components due to exports, both for the entire Chinese economy and for particular industries. Сalculations based on the data of input-output balances for 2010–2017 allowed the authors to draw a conclusion about the significant contribution of domestic demand to the economic growth of China in the context of active monetary stimulus. Thus, the novelty of the study is ensured by the fact that Thirlwall’s law does not apply to modern China –– stimulating the economy in China does not lead to a decrease in the trade surplus due to the monetary and financial sovereignty, industrial competitiveness, and the innovative economic development. The search for tools for adapting China’s monetary policy to the realities of Russia and the Republic of Belarus opens up opportunities for future research on the topic.

1. Bykau A., Shablinskaya T. Decomposition of demand-driven economic growth factors using input-output methodology. Belorusskii ekonomicheskii zhurnal = Belarusian Economic Journal. 2020;(1):4–21. (In Russ.).

2. Bykau A., Parkhimenka U., Tolkachev S. Infl e of COVID-19 on the Russian economy: Methodological approaches to the assessment based on the input-output tables. Belorusskii ekonomicheskii zhurnal = Belarusian Economic Journal. 2020;(2):25–37. (In Russ.). DOI: 10.46782/1818–4510–2020–2–25–37

3. Mankiw N.G., Romer D., Weil D.N. A contribution to the empirics of economic growth. The Quarterly Journal of Economics. 1992;107(2):407–437. DOI: 10.2307/2118477

4. Romer P.M. Endogenous technological change. Journal of Political Economy. 1990;98(5 Pt. 2): S 71-S 102. URL: https://web.stanford.edu/~klenow/Romer_1990.pdf

5. Petrescu A. S. Science and technology for economic growth. New insights from when the data contradicts desktop models. Review of Policy Research. 2009;26(6):839–880. DOI: 10.1111/j.1541–1338.2009.00420.x

6. Hong E., Sun L. Foreign direct investment and total factor productivity in China: A spatial dynamic panel analysis. Oxford Bulletin of Economics and Statistics. 2011;73(6):771–791. DOI: 10.1111/j.1468–0084.2011.00672.x

7. Girma S. Absorptive capacity and productivity spillovers from FDI: A threshold regression analysis. Oxford Bulletin of Economics and Statistics. 2005;67(3):281–306. DOI: 10.1111/j.1468–0084.2005.00120.x

8. Miyamoto K., Liu H. An analysis of the determinants of provincial-level performance in China’s economy. Comparative Economic Studies. 2005;47(3):520–542. DOI: 10.1057/palgrave.ces.8100056

9. Han J., Shen Y. Financial development and total factor productivity growth: Evidence from China. Emerging Markets Finance and Trade. 2015;51(S 1): S 261-S 274. DOI: 10.1080/1540496X.2014.998928

10. Liao H., Liu X., Wang C. Knowledge spillovers, absorptive capacity and total factor productivity in China’s manufacturing firms. International Review of Applied Economics. 2012;26(4):533–547. DOI: 10.1080/02692171.2011.619970

11. Yao Z. Productivity growth and industrial structure adjustment: An analysis of China’s provincial panel data. The Chinese Economy. 2015;48(4):253–268. DOI: 10.1080/10971475.2015.1044848

12. Debresson C. China’s growing pains — recent input-output research in China on China: Foreword. Economic Systems Research. 2008;20(2):135–138. DOI: 10.1080/09535310802075257

13. Zhang Z., Shi M., Zhao Z. The compilation of China’s interregional input-output model 2002. Economic Systems Research. 2015;27(2):238–256. DOI: 10.1080/09535314.2015.1040740

14. Gao Y., Li M., Lu Y. What can be learned from billions of invoices? The construction and application of China’s multiregional input-output table based on Big Data from the value-added tax. Emerging Markets Finance and Trade. 2020;56(9):1925–1941. DOI: 10.1080/1540496X.2019.1684254

15. Doan H., Long T. Technical change, exports, and employment growth in China: A structural decomposition analysis. Asian Economic Papers. 2019;18(2):28–46. DOI: 10.1162/asep_a_00690

16. Jiang X. Trade expansion and employment generation: How mercantilist does China have to be? International Review of Applied Economics. 2013;27(4):557–573. DOI: 10.1080/02692171.2012.760068

17. Tan Z., Li L., Wang J., Chen Y. Examining economic and environmental impacts of differentiated pricing on the energy-intensive industries in China: Input-output approach. Journal of Energy Engineering. 2011;137(3):130–137. DOI: 10.1061/(ASCE)EY.1943–7897.0000018

18. Lindner S., Legault J., Guan D. Disaggregating the electricity sector of China’s input-output table for improved environmental life-cycle assessment. Economic Systems Research. 2013;25(3):300–320. DOI: 10.1080/09535314.2012.746646

19. Yang C., Dietzenbacher E., Pei J., Chen X., Zhu K., Pei Z. Processing trade biases the measurement of vertical specialization in China. Economic Systems Research. 2015;27(1):60–76. DOI: 10.1080/09535314.2014.955463

20. Demidenko M., Bukreev K., Romanyuk V. Emission of the Central Bank: Myth and reality. Bankauskі vesnіk = Bank Bulletin Magazine. 2020;(10):21–36. URL: https://www.nbrb.by/bv/arch/687.pdf (In Russ.).

21. Tymoigne E., Wray L. R. Modern money theory: A reply to Palley. Review of Political Economy. 2015;27(1):24– 44. DOI: 10.1080/09538259.2014.957471

22. Friedman B. M. The simple analytics of monetary policy: A post-crisis approach. The Journal of Economic Education. 2013;44(4):311–328. DOI: 10.1080/00220485.2013.825109

23. Vera L. The simple post-Keynesian monetary policy model: An open economy approach. Review of Political Economy. 2014;26(4):526–548. DOI: 10.1080/09538259.2014.969547

24. Juniper J., Sharpe T. P., Watts M. J. Modern monetary theory: Contributions and critics. Journal of Post Keynesian Economics. 2014;37(2):281–307. DOI: 10.2753/PKE0160–3477370205

25. Rudy K. China’s modern economy as viewed by a Belarusian. Bankauskі vesnіk = Bank Bulletin Magazine.2012;(10):57–66. URL: https://www.nbrb.by/bv/articles/9112.pdf (In Russ.).

26. Li L., Tan H., Zhang H. Government finance and money creation in China: An MMT perspective. The Chinese Economy. 2020;53(4):329–341. DOI: 10.1080/10971475.2020.1728481

27. Vasilega V., Gotovsky A. Modeling inflationary processes in sectors of the economy. Belorusskii ekonomicheskii zhurnal = Belarusian Economic Journal. 1999;(2):72–84. (In Russ.).

28. Sun L. The structure and sustainability of China’s debt. Cambridge Journal of Economics. 2019;43(3):695–715. DOI: 10.1093/cje/bey030

29. Gotovsky A., Gutsol P. Exports as contributor to economic growth of the Republic of Belarus. Belorusskii ekonomicheskii zhurnal = Belarusian Economic Journal. 2007;(2):4–16. (In Russ.).

30. Gotovsky A. Ensuring a balanced economic growth of the Republic of Belarus. Belorusskii ekonomicheskii zhurnal = Belarusian Economic Journal. 2019;(2):4–24. (In Russ.).

31. Zlotnikova E. Import capacity and intersectoral cooperation within the Belarusian economy. Bankauskі vesnіk = Bank Bulletin Magazine. 2010;(34):27–30. URL: https://www.nbrb.by/bv/arch/507.pdf (In Russ.).

32. Balassa B. Trade liberalisation and “revealed” comparative advantage. The Manchester School. 1965;33(2):99–123. DOI: 10.1111/j.1467–9957.1965.tb00050.x