Skip to main content

Advertisement

SpringerLink
Log in

Energy consumption and economic growth from perspective of spatial heterogeneity: statistical analysis based on variable coefficient model

  • Published:
Annals of Operations Research Aims and scope Submit manuscript

Abstract

The contradiction between economic development, resources and environment is becoming more and more important every day. Based on the proposed energy conservation, this paper will study whether reducing energy consumption hinders economic growth. This article considers the spatial heterogeneity factors and the different energy consumption levels between different areas. Through empirical analysis, we discuss the quantitative relationship between energy consumption and economic growth from different areas. Finally, we propose long- and short-term strategic arrangements for energy consumption in order to facilitate sustainable development.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1

Similar content being viewed by others

References

  • Apergis, N., & Payne, J. E. (2009). Energy consumption and economic growth in Central America: evidence from a panel cointegration and error correction model. Energy Economics, 31(2), 211–216.

    Article  Google Scholar 

  • Asafu-Adjaye, J. (2000). The relationship between energy consumption, energy prices and economic growth: time series evidence from Asian developing countries. Energy Economics, 22(6), 615–625.

    Article  Google Scholar 

  • Barbosa, H. J. C., Lavor, C. C., & Raupp, F. M. P. (2005). A GA-simplex hybrid algorithm for global minimization of molecular potential energy functions. Annals of Operations Research, 138(1), 189–202.

    Article  Google Scholar 

  • Breitung, J. (2001). The local power of some unit root tests for panel data. In B. H. Baltagi, T. B. Fomby, & R. Carter Hill (Eds.), Nonstationary panels, panel cointegration, and dynamic panels. Advances in econometrics (Vol. 15, pp. 161–177). Emerald, Bingley.

    Google Scholar 

  • Chang, C. C. (2010). A multivariate causality test of carbon dioxide emissions, energy consumption and economic growth in China. Applied Energy, 87(11), 3533–3537.

    Article  Google Scholar 

  • Cheng, B. S. (1997). Energy consumption and economic growth in Brazil, Mexico and Venezuela: a time series analysis. Applied Economics Letters, 4(11), 671–674.

    Article  Google Scholar 

  • Hadri, K., & Larsson, R. (2005). Testing for stationarity in heterogeneous panel data where the time dimension is finite. Econometrics Journal, 8(1), 55–69.

    Article  Google Scholar 

  • Hondroyiannis, G., Lolos, S., & Papapetrou, E. (2002). Energy consumption and economic growth: assessing the evidence from Greece. Energy Economics, 24(4), 319–336.

    Article  Google Scholar 

  • Im, K. S., Pesaran, M. H., & Shin, Y. (2003). Testing for unit roots in heterogeneous panels. Journal of Econometrics, 115(1), 53–74.

    Article  Google Scholar 

  • Kao, C. (1999). Spurious regression and residual-based tests for co-integration in panel data. Journal of Econometrics, 90(1), 1–44.

    Article  Google Scholar 

  • Lee, C. C., & Chang, C. P. (2007). The impact of energy consumption on economic growth: evidence from linear and nonlinear models in Taiwan. Energy, 32(12), 2282–2294.

    Article  Google Scholar 

  • Levin, A., Lin, C. F., & Chu, C. S. J. (2002). Unit root tests in panel data: asymptotic and finite-sample properties. Journal of Econometrics, 108(1), 1–24.

    Article  Google Scholar 

  • Li, F., Dong, S. C., Li, X., Liang, Q. X., & Yang, W. Z. (2011). Energy consumption-economic growth relationship and carbon dioxide emissions in China. Energy Policy, 39(2), 568–574.

    Article  Google Scholar 

  • Maddala, G. S., & Wu, S. W. (1999). A comparative study of unit root tests with panel data and a new simple test. In Oxford bulletin of economics and statistics in New Orleans, Louisiana. Blackwell, Oxford.

    Google Scholar 

  • Oh, W., & Lee, K. (2004a). Causal relationship between energy consumption and GDP revisited: the case of Korea. Energy Economics, 26(1), 51–59.

    Article  Google Scholar 

  • Oh, W., & Lee, K. (2004b). Energy consumption and economic growth in Korea: testing the causality relation. Journal of Policy Modeling, 26(8–9), 973–981.

    Article  Google Scholar 

  • Tsani, S. Z. (2010). Energy consumption and economic growth: a causality analysis for Greece. Energy Economics, 32(3), 582–590.

    Article  Google Scholar 

  • Yu, E. S. H., & Jin, J. C. (1992). Co-integration tests of energy consumption, income, and employment. Resource and Energy Economics, 14(3), 259–266.

    Article  Google Scholar 

  • Yuana, J. H., Kang, J. G., Zhao, C. H., & Hu, Z. G. (2008). Energy consumption and economic growth: evidence from China at both aggregated and disaggregated levels. Energy Economics, 30(6), 3077–3094.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Management, Anhui University of Science and Technology, Huainan, Anhui, 232001, P.R. China

    L. Yang

  2. School of Finance & Public Administration, Anhui University of Finance and Economics, Bengbu, Anhui, 233030, P.R. China

    T. Yang

Authors
  1. L. Yang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. T. Yang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to T. Yang.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Yang, L., Yang, T. Energy consumption and economic growth from perspective of spatial heterogeneity: statistical analysis based on variable coefficient model. Ann Oper Res 228, 151–161 (2015). https://doi.org/10.1007/s10479-012-1095-4

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10479-012-1095-4

Keywords

Search

Navigation