Skip to main content
Log in

Effect of Western Development Strategy on carbon productivity and its influencing mechanisms

  • Published:
Environment, Development and Sustainability Aims and scope Submit manuscript

Abstract

A systematic analysis of the policy effects, as well as the intrinsic influencing mechanisms, associated with China’s 1999 Western Development Strategy (WDS) can inform the high-quality implementation of China’s new round of WDS starting in 2020. This study specifically evaluated the policy effect of China’s 1999 WDS on carbon productivity. The Synthetic Control Method was used to generate the counterfactual path of carbon productivity that Western China could have achieved without WDS. The policy effect was measured as the difference between the treated value and counterfactual value (synthetic value) of carbon productivity. The Logarithmic Mean Divisia Index was then applied to analyze the intrinsic influencing mechanisms. The results were as follows. First, carbon productivity in most of the western provinces in China was affected by the WDS, showing negative effects; in other words, carbon productivity was increased. Second, the WDS affected the carbon productivity differently, with different intrinsic influencing mechanisms. The energy productivity effect of industry and the carbon emission share effect of service industries played a relatively large role, with the average degrees of influence accounting for 54.62% and 42.82% of the total effects, respectively. Other factors had a relatively small influence or showed regional heterogeneity.

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

Access this article

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

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

References

  • Abadie, A., Diamond, A., & Hainmueller, J. (2010). Synthetic control methods for comparative case studies: estimating the effect of California's tobacco control program. Journal of the American Statistical Association, 105(490).

  • Ang, B. W. (2005). The LMDI approach to decomposition analysis: A practical guide. Energy Policy, 33(7), 867–871.

    Article  Google Scholar 

  • Ang, B. W., & Liu, F. L. (2001). A new energy decomposition method: Perfect in decomposition and consistent in aggregation. Energy, 26(6), 537–548.

  • Bai, C. Q., Du, K. R., Yu, Y., & Feng, C. (2019). Understanding the trend of total factor carbon productivity in the world: Insights from convergence analysis. Energy Economics, 81, 698–708.

    Article  Google Scholar 

  • Baron, R. M., & Kenny, D. A. (1986). The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173.

    Article  CAS  Google Scholar 

  • Beinhocker E., Oppenheim J., Irons B., Lahti M., Farrell D. & Nyquist S. (2008). The Carbon Productivity Challenge: Curbing Climate Change and Sustaining Economic Growth.

  • Cao, S., Li, S., Ma, H., & Sun, Y. (2015). Escaping the Resource Curse in China. Ambio, 44(1), 1–6.

    Article  Google Scholar 

  • National Bureau of Statistics of China (NBSC). (2000). China Statistical Yearbook. China Statistics Press.

  • National Bureau of Statistics of China (NBSC), (2017). China Statistical Yearbook 1995–2016. China Statistics Press.

  • Cui, Y. Z., Lin, J. T., Song, C. Q., Liu, M. Y., Yan, Y. Y., Xu, Y., & Huang, B. (2016). Rapid growth in nitrogen dioxide pollution over Western China, 2005–2013. Atmospheric Chemistry and Physics, 16(10), 6207–6221.

    Article  CAS  Google Scholar 

  • Dehejia, R. H., & Wahba, S. (2002). Propensity score-matching methods for nonexperimental causal studies. Review of Economics and Statistics, 84(1), 151–161.

    Article  Google Scholar 

  • Dong, L., & Liang, H. W. (2014). Spatial analysis on China’s regional air pollutants and CO2 emissions: Emission pattern and regional disparity. Atmospheric Environment, 92, 280–291.

    Article  CAS  Google Scholar 

  • Fernández González, P., Landajo, M., & Presno, M. J. (2014). Tracking European Union CO2 emissions through LMDI (logarithmic-mean Divisia index) decomposition. The Activity Revaluation Approach. Energy, 73, 741–750.

    Article  Google Scholar 

  • Hang, Y., Wang, Q., Wang, Y., Su, B., & Zhou, D. (2019). Industrial SO2 emissions treatment in china: A temporal-spatial whole process decomposition analysis. Journal of Environmental Management, 243(1), 419–434.

    Article  CAS  Google Scholar 

  • Huang, J. B., Yang, T. C., & Jia, J. (2019). Determining the factors driving energy demand in the Sichuan-Chongqing Region: An examination based on DEA-Malmquist approach and spatial characteristics. Environmental Science and Pollution Research, 26(31), 31654–31666.

    Article  Google Scholar 

  • Jia J. X., Ma G. R., Qin C. & Wang L. Y. (2020). Place-based policies, state-led industrialisation, and regional development: Evidence from China's Great Western Development Programme. European Economic Review, 123

  • Jiang P., Alimujiang A., Dong H. J. & Yan X. Y. (2019). Detecting and understanding synergies and Co-benefits of low carbon development in the electric power Industry in China. Sustainability, 12(1)

  • Kaya Y., & Yokobori K.(1997). Environment, Energy and Economy: Strategies for Sustainability. United Nations University.

  • Kim, H. N., & Chen, W. M. (2018). Changes in energy and carbon intensity in Seoul’s water sector. Sustainable Cities and Society, 41, 749–759.

    Article  Google Scholar 

  • Lai, H. H. (2002). China’s western development program: Its rationale, implementation, and prospects. Modern China, 28(4), 432–466.

    Article  Google Scholar 

  • Li, K., & Lin, B. Q. (2015). Metafroniter energy efficiency with CO2 emissions and its convergence analysis for China. Energy Economics, 48, 230–241.

    Article  Google Scholar 

  • Lin, B. Q., & Du, K. R. (2015). Energy and CO2 emissions performance in China’s regional economies: Do market-oriented reforms matter? Energy Policy, 78, 113–124.

    Article  Google Scholar 

  • Liu, R. M., & Zhao, R. J. (2015). Western Development: Growth Driven or Policy Trap: A Study Based on PSM-DID Method. China Industrial Economics (In Chinese), 6, 32–43.

    Google Scholar 

  • Liu, L., Chen, Y. Y., Wu, T., & Li, H. M. (2018). The drivers of air pollution in the development of western China: The case of Sichuan province. Journal of Cleaner Production, 197, 1169–1176.

    Article  CAS  Google Scholar 

  • Locke, C. M., Butsic, V., & Rissman, A. R. (2017). Zoning effects on housing change vary with income, based on a four-decade panel model after propensity score matching. Land Use Policy, 64, 353–362.

    Article  Google Scholar 

  • Long, R. Y., Shao, T. X., & Chen, H. (2016). Spatial econometric analysis of China’s province-level industrial carbon productivity and its influencing factors. Applied Energy, 166, 210–219.

    Article  Google Scholar 

  • Mcnally, C. A. (2004). Sichuan: Driving capitalist development westward. The China Quarterly, 178(178), 426–447.

    Article  Google Scholar 

  • Rubin, D. B. (2001). Using Propensity Scores to Help Design Observational Studies: Application to the Tobacco Litigation. Health Services & Outcomes Research Methodology, 2(3–4), 169–188.

    Article  Google Scholar 

  • Shao, S., & Qi, Z. Y. (2009). Energy exploitation and economic growth in Western China: An empirical analysis based on the resource curse hypothesis. Frontiers of Economics in China, 4(1), 125–152.

    Article  Google Scholar 

  • Song, M. L., Wang, J. L., & Zhao, J. J. (2016). Coal endowment, resource curse, and high coal-consuming industries location: Analysis based on large-scale data. Resources, Conservation & Recycling, 129, 333–344.

    Article  Google Scholar 

  • Temple, J. (1999). The new growth evidence. Econometrics, 37(1), 112–156.

    Google Scholar 

  • Tsang, C. K., & Li, S. K. (2020). Allocation of Resources within Subgroups of an Industry: a Case Study in the Chinese Industrial Sector. Journal of Productivity Analysis, 53(69).

  • Wang, Q. W., Chiu, Y. H., & Chiu, C. R. (2015). Driving factors behind carbon dioxide emissions in China: A modified production-theoretical decomposition analysis. Energy Economics, 51, 252–260.

    Article  Google Scholar 

  • Xue, Y., Wang, Q., & Yue, X. (2020). Total Factor Energy Efficiency Measurement in the Provinces of China along the 'Belt and Road'. IEEE Access, PP(99), 1–1.

  • Yang, Y., & Li, W. J. (2019). The evolution of the ecological footprint and its relationship with the urban development of megacities in Western China: The case of Xi’an. Journal of Environmental Management, 243, 463–471.

    Article  Google Scholar 

  • Yang, F. X., Yang, M., Xue, B., & Luo, Q. L. (2018). The effects of China’s western development strategy implementation on local ecological economic performance. Journal of Cleaner Production, 202, 925–933.

    Article  Google Scholar 

  • Zhang, Y., Zhang, J. Y., Yang, Z. F., & Li, S. S. (2011). Regional differences in the factors that influence China’s energy-related carbon emissions, and potential mitigation strategies. Energy Policy, 39(12), 7712–7718.

    Article  Google Scholar 

  • Zhang, X. P., Zhang, Y. X., Rao, R., & Shi, Z. P. (2015). Exploring the drivers to energy-related carbon emissions changes at China’s provincial levels. Energy Efficiency, 8(4), 699–712.

    Article  Google Scholar 

  • Zhang, W. T., Hu, G. Q., Dang, Y., Weindorf, D. C., & Sheng, J. D. (2016). Afforestation and the impacts on soil and water conservation at decadal and regional scales in Northwest China. Journal of Arid Environments, 130, 98–104.

    Article  Google Scholar 

  • Zhang, C., Zhou, B., & Wang, Q. (2019). Effect of China’s western development strategy on carbon intensity. Journal of Cleaner Production, 215, 1170–1179.

    Article  Google Scholar 

  • Zhou, B., Zhang, C., Song, H. Y., & Wang, Q. (2019). How does emission trading reduce China’s carbon intensity? An exploration using a decomposition and difference-in-differences approach. Science of the Total Environment, 676, 514–523.

    Article  CAS  Google Scholar 

  • Zhou, X., Zhou, D., Wang, Q., & Su, B.(2020). Who shapes China's carbon intensity and how? A demand-side decomposition analysis. Energy Economics, 85, 104600

  • Zhu, H. L., Li, W., Yu, J. S., Sun, W. C., & Yao, X. L. (2013). An analysis of decoupling relationships of water uses and economic development in the two provinces of Yunnan and Guizhou during the first ten years of implementing the Great Western Development Strategy. Procedia Environmental Sciences, 18, 864–870.

    Article  Google Scholar 

  • Zhuo, C., & Deng, F. (2020). How does China's Western Development Strategy affect regional green economic efficiency?. The Science of the Total Environment, 707(10), 135939.

Download references

Acknowledgements

Authors are grateful to the financial supports from the National Natural Science Foundation of China (nos. 71973062, 71922013, 71922013 and 71703065) and the National Social Science Foundation of China (no. 18ZDA050).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Qunwei Wang.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Appendix

Appendix

See Tables

Table 4 Decomposition of factors affecting carbon productivity in Sichuan and the effect of WDS

4,

Table 5 Decomposition of factors affecting carbon productivity in Inner Mongolia and the effect of WDS

5,

Table 6 Decomposition of factors affecting carbon productivity in Guangxi and the effect of WDS

6,

Table 7 Decomposition of factors affecting carbon productivity in Yunnan and the effect of WDS

7,

Table 8 Decomposition of factors affecting carbon productivity in Qinghai and the effect of WDS

8,

Table 9 Decomposition of factors affecting carbon productivity in Ningxia and the effect of WDS

9 and

Table 10 Decomposition of factors affecting carbon productivity in Xinjiang and the effect of WDS

10.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhang, C., Zhao, Z. & Wang, Q. Effect of Western Development Strategy on carbon productivity and its influencing mechanisms. Environ Dev Sustain 24, 4963–5002 (2022). https://doi.org/10.1007/s10668-021-01642-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10668-021-01642-3

Keywords

Navigation