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Dynamic causality among urban agglomeration, electricity consumption, construction industry, and economic performance: generalized method of moments approach

  • Munir AhmadEmail author
  • Gul JabeenEmail author
Research Article
  • 101 Downloads

Abstract

This paper is a maiden empirical attempt to analyze the dynamic causal linkages among urban agglomeration, electricity consumption, construction industry, and economic performance, making use of simultaneous structural equations. A national panel of 30 provinces and three sub-national panels of China, for time span 2000 to 2016, have been estimated employing system and difference generalized method of moments (GMM) estimator. A construction industry-augmented model of economic growth has been proposed, incorporating construction industry and urban agglomeration as exogenous shocks to the aggregate production and electricity consumption as the input of production function. The core empirical results are first, the urban agglomeration and construction industry positively cause electricity consumption but are not caused by the same. It revealed the critical role played by urban agglomeration along with construction industry in boosting electricity consumption. Second, the economic performance positively causes electricity consumption, urban agglomeration, and construction industry and is also caused by the same. Third, urban agglomeration causes the construction industry and is caused by the same. It exposed the mutual role of urban agglomeration and urban industry in reinforcing each other in the times of high economic performance. Finally, among the three regions, the eastern zone is found to be strongest in terms of linkages among urban agglomeration, construction industry, electricity consumption, and economic performance. The intermediate zone is moderately strong, while the western zone is found to have the least strong linkages as compared with the two regions. These results are in line with the sub-national level of economic development of China. These findings, in terms of statistical significance, are highly robust across all the panels. Furthermore, depending upon empirical results, the related strategies are proposed.

Keywords

Urban agglomeration Electricity consumption Construction industry Economic performance Construction industry-augmented growth model China 

Abbreviations

EP

Economic performance

UA

Urban agglomeration

CI

Construction industry

EC

Electricity consumption

Sys. GMM

System based generalized method of moments

Dif. GMM

Difference based GMM

AR

Autoregressive

AR (2)

Autoregressive of second-order

Notes

Acknowledgments

The authors are thankful to the editor and anonymous reviewers as their suggestions have improved this manuscript to great extent.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

References

  1. Ahmad M, Zhao ZY (2018) Empirics on linkages among industrialization, urbanization, energy consumption, CO2 emissions and economic growth: a heterogeneous panel study of China. Environ Sci Pollut Res 25:30617–30632.  https://doi.org/10.1007/s11356-018-3054-3 CrossRefGoogle Scholar
  2. Ahmad M, Zhao ZY, Irfan M, Mukeshimana MC (2019a) Empirics on influencing mechanisms among energy, finance, trade, environment, and economic growth: a heterogeneous dynamic panel data analysis of China. Environ Sci Pollut Res.  https://doi.org/10.1007/s11356-019-04673-6 CrossRefGoogle Scholar
  3. Ahmad M, Zhao ZY, Li H (2019b) Revealing stylized empirical interactions among construction sector, urbanization, energy consumption, economic growth and CO2 emissions in China. Sci Total Environ 657:1085–1098CrossRefGoogle Scholar
  4. Amann E, Baer W, Trebat T, Lora JV (2016) Infrastructure and its role in Brazil’s development process. Quart Rev Econom Finance 62:66–73.  https://doi.org/10.1016/j.qref.2016.07.007 CrossRefGoogle Scholar
  5. Arouri MEH, Youssef AB, M’henni H, Rault C (2012) Energy consumption, economic growth and CO2 emissions in Middle East and North African countries. Energy Policy 45:342–349CrossRefGoogle Scholar
  6. Balibey M (2015) Relationships among CO2 emissions, economic growth and foreign direct investment and the EKC hypothesis in Turkey. Int J Energy Econ Policy 5(4):1042–1049Google Scholar
  7. Berk N, Biçen S (2017) Causality between the construction sector and GDP growth in emerging countries: the case of Turkey. Athens J Mediterr Stud 4(1):19–36CrossRefGoogle Scholar
  8. Blundell R, Bond S (2000) GMM estimation with persistent panel data: an application to production functions. Econ Rev 19(3):321–340CrossRefGoogle Scholar
  9. Bolkol HK (2015) Causal relationship between construction production and GDP in Turkey. International Journal of Research in Business and Social Science 4(3):42-53CrossRefGoogle Scholar
  10. Bulut U (2017) The impacts of non-renewable and renewable energy on CO2 emissions in Turkey. Environ Sci Pollut Res 24(18):15416–15426.  https://doi.org/10.1007/s11356-017-9175-2 CrossRefGoogle Scholar
  11. Castells-Quintana D (2017) Malthus living in a slum: urban concentration, infrastructure and economic growth. J Urban Econ 98:158–173CrossRefGoogle Scholar
  12. Chandio AA, Jiang Y, Rehman A (2018) Energy consumption and agricultural economic growth in Pakistan : is there a international journal of energy sector management article information : (December).  https://doi.org/10.1108/IJESM-08-2018-0009 CrossRefGoogle Scholar
  13. Chandio AA, Rauf A, Jiang Y, Ozturk I (2019) Cointegration and causality analysis of dynamic linkage between industrial energy consumption and economic growth in Pakistan sustainability cointegration and causality analysis of dynamic linkage between industrial energy consumption and economic growth in Pakistan, (August).  https://doi.org/10.3390/su11174546 CrossRefGoogle Scholar
  14. Chang T, Nieh CC (2004) A note on testing the causal link between construction activity and economic growth in Taiwan. J Asian Econ 15:591–598CrossRefGoogle Scholar
  15. Choi H-Y, Yoo S-H (2016) Oil consumption and economic growth: the case of Brazil. Energy Sources B: Econ Planning Policy 11(8):705–710CrossRefGoogle Scholar
  16. Ewing BT, Wang Y (2005) Single housing and macroeconomic activity: an application of generalized impulse response analysis. Appl Econ Lett 12:187–190CrossRefGoogle Scholar
  17. Faisal F, Tursoy T, Resatoglu NG, Berk N (2018) Electricity consumption, economic growth, urbanisation and trade nexus : empirical evidence from Iceland. Econ Res Istraživanja 31:1–17.  https://doi.org/10.1080/1331677X.2018.1438907 CrossRefGoogle Scholar
  18. Fan J-L, Zhang YJ, Wang B (2017) The impact of urbanization on residential energy consumption in China: an aggregated and disaggregated analysis. Renew Sust Energ Rev 75:220–233CrossRefGoogle Scholar
  19. Ganda F (2019) The environmental impacts of financial development in OECD countries: a panel GMM.  https://doi.org/10.1007/s11356-019-04143-z CrossRefGoogle Scholar
  20. Gul S, Zou X, Hassan CH, Azam M, Zaman K (2015) Causal nexus between energy consumption and carbon dioxide emission for Malaysia using maximum entropy bootstrap approach. Environ Sci Pollut Res 22(24):19773–19785.  https://doi.org/10.1007/s11356-015-5185-0 CrossRefGoogle Scholar
  21. Gungor H, Simon AU (2017) Energy consumption, finance and growth: the role of urbanization and industrialization in South Africa. Int J Energy Econ Policy 7(3):268–276Google Scholar
  22. Jones DW (1991) How urbanization affects energy use in developing countries. Energy Policy 19(7):621–630CrossRefGoogle Scholar
  23. Kaya V, Yalçınkaya Ö, Hüseyni I (2013) Role of construction sector in economic growth: the case of Turkey (Turkish). Atatürk Univ Faculty Econom 27(4):148–167Google Scholar
  24. Khoirunurrofik (2018) Correction to: local economic structure, productivity growth, and industry life cycle: evidence from Indonesia. Asia-Pac J Region Sci 2(2):477–477.  https://doi.org/10.1007/s41685-018-0074-4 CrossRefGoogle Scholar
  25. Lee C, Chang C, Chen P (2008) Energy-income causality in OECD countries revisited: the key role of capital stock. Energy Econ 30:2359–2373CrossRefGoogle Scholar
  26. Li TM (2017) After development: surplus population and the politics of entitlement. Dev Change 48(6):1247-1261CrossRefGoogle Scholar
  27. Liddle B (2013) The energy, economic growth, urbanization nexus across development: evidence from heterogeneous panel estimates robust to cross-sectional dependence. Energy J 34(2):223–244CrossRefGoogle Scholar
  28. Mishra AK, Mohanty PK (2017) Erratum to: urban policy in Asia Pacific countries: a case for inclusionary zoning and housing. Asia-Pac J Region Sci 1(1):217–217.  https://doi.org/10.1007/s41685-017-0033-5 CrossRefGoogle Scholar
  29. Narayan P, Smyth R (2008) Energy consumption and real GDP in G7 countries: new evidence from panel cointegration with structural breaks. Energy Econ 30:2331–2341CrossRefGoogle Scholar
  30. Nasreen S, Saidi S, Ozturk I (2018) Assessing links between energy consumption, freight transport, and economic growth: evidence from dynamic simultaneous equation models. Environ Sci Res 25(17):16825–16841.  https://doi.org/10.1007/s11356-018-1760-5 CrossRefGoogle Scholar
  31. National Bureau of Statistics (2016) China energy statistical yearbook, Beijing, China Statistics Press, p 2016Google Scholar
  32. National Bureau of Statistics (2017) China energy statistical yearbook. China Statistics Press, Beijing, p 2017Google Scholar
  33. Ozkan F, Ozkan O, Gunduz M (2012) Causal relationship between construction investment policy and economic growth in Turkey. Technol Forecast Soc Chang 79:362–370CrossRefGoogle Scholar
  34. Raggad B (2018) Carbon dioxide emissions, economic growth, energy use, and urbanization in Saudi Arabia: evidence from the ARDL approach and impulse saturation break tests. Environ Sci Pollut Res 25(15):14882–14898.  https://doi.org/10.1007/s11356-018-1698-7 CrossRefGoogle Scholar
  35. Ramachandra T, Rotimi JOB, Rameezdeen R (2013) Direction of causal relationship between construction and the national economy of Sri Lanka. J Construct Develop Countries 18(2):49–63Google Scholar
  36. Salahuddin M, Alam K, Ozturk I, Sohag K (2018) The effects of electricity consumption, economic growth, financial development and foreign direct investment on CO2 emissions in Kuwait. Renew Energy Rev 81:2002–2010CrossRefGoogle Scholar
  37. Sbia R, Shahbaz M, Ozturk I (2017) Economic growth, financial development, urbanisation and electricity consumption nexus in UAE. Econ Res-Ekonomska Istrazivanja 30(1):527–549.  https://doi.org/10.1080/1331677X.2017.1305792 CrossRefGoogle Scholar
  38. Sekantsi LP, Okot N (2016) Electricity consumption–economic growth nexus in Uganda. Energy B: Economics Plann Policy 11(12):1144–1149Google Scholar
  39. Topcu M, Girgin S (2016) The impact of urbanization on energy demand in the Middle East. J Int Global Econ Stud 9(1):21–28Google Scholar
  40. Tzeremes P (2018) Time-varying causality between energy consumption, CO2 emissions, and economic growth: evidence from US states. Environ Sci Pollut Res 25(6):6044–6060.  https://doi.org/10.1007/s11356-017-0979-x CrossRefGoogle Scholar
  41. Wang Q (2014) Effects of urbanisation on energy consumption in China. Energy Policy 65: 332-339. World Bank Data (World Development Indicators). 2017. //data.worldbank.org/indicator/NY.GDP.MKTP.KD.ZG. Accessed 05 January 2019CrossRefGoogle Scholar
  42. World Development Indicators (2017) World Bank database. https://data.worldbank.org/indicator/bx.klt.dinv.cd.wd
  43. Zhao Y, Wang S (2015) The relationship between urbanization, economic growth and energy consumption in China: an econometric perspective analysis. Sustainability 7(5):5609–5627CrossRefGoogle Scholar
  44. Zhou N, Fridley D, Khanna NZ, Ke J, McNeil M, Levine M (2013) China’s energy and emissions to 2050: perspectives from bottom-up energy end-use model. Energy Policy 53:51–62CrossRefGoogle Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.School of EconomicsZhejiang UniversityHangzhouChina
  2. 2.School of Economics and ManagementNorth China Electric Power UniversityBeijingChina

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