Abstract
For decades, the construction industry has contributed significantly to China’s economic growth. The heavy energy consumption inevitably leads to the release of large amounts of carbon emissions. Improving energy efficiency has been a crucial solution for mitigating the environmental impacts while boosting its green economy in the construction industry. Measuring the energy efficiency in the construction industry considering the quality of government sector is still limited. Using panel provincial data in China from 2011 to 2020, this paper proposes a two-stage dynamic data envelopment analysis (DEA) framework integrating the government sector with the production sector in the construction industry, and calculates energy efficiency. The spatial Durbin model is used to analyze the driving forces of energy efficiency. The research findings include (1) the energy efficiency in the eastern region is higher than that in the central and western regions. The mean values of energy efficiency in the eastern, central, and western regions are 0.42, 0.34, and 0.37. (2) Even though governance efficiency is lower than production efficiency, there is a positive correlation between governance efficiency and production efficiency with a correlation coefficient of 0.48. Improving governance efficiency is a significant step to increase the production efficiency and further increase energy efficiency of the construction industry. (3) Digital transformation has a positive effect on governance efficiency but has no effect on production efficiency. The government-production nexus framework provides implications for clarifying the role of government intervention in improving energy efficiency.
Similar content being viewed by others
Data availability
Not applicable
References
Agrawal R, De Tommasi L, Lyons P, Zanoni S, Papagiannis G, Karakosta C, Papapostolou A, Durand A, Martinez L, Fragidis G (2023) Challenges and opportunities for improving energy efficiency in SMEs: learnings from seven European projects. Energ Effi 16(3):1–28
Destek MA, Sinha A (2020) Renewable, non-renewable energy consumption, economic growth, trade openness, and ecological footprint: evidence from organisation for economic co-operation and development countries. J Clean Prod 242(1):118537
El Heda K, Louani D (2018) Optimal bandwidth selection in kernel density estimation for continuous time dependent processes. Statist Probab Lett 138(7):9–19
Elhorst JP (2014) Matlab software for spatial panels. Int Reg Sci Rev 37(3):389–405
Farhani S, Solarin SA (2017) Financial development and energy demand in the United States: new evidence from combined cointegration and asymmetric causality tests. Energy 134(9):1029–1037
Feng T, Liu M, Li C (2023) How do vertical fiscal imbalances affect energy efficiency? The role of government spending on science and technology. Environ Sci Pollut Res 30(1):1–12
Feng Y, Wang X, Du W, Wu H, Wang J (2019) Effects of environmental regulation and FDI on urban innovation in China: a spatial Durbin econometric analysis. J Clean Prod 235(10):210–224
Gao J, Song J, Wu L (2022) A new methodology to measure the urban construction land-use efficiency based on the two-stage DEA model. Land Use Policy 112(1):105799
Gauch H, Dunant C, Hawkins W, Serrenho AC (2023) What really matters in multi-storey building design? A simultaneous sensitivity study of embodied carbon, construction cost, and operational energy. Appl Energy 333(3):120585
Kang J, Yu C, Xue R, Yang D, Shan Y (2022) Can regional integration narrow city-level energy efficiency gap in China? Energy Policy 163(4):112820
Li D, Zhou Z, Cao L, Zhao K, Li B, Ding C (2023a) What drives the change in China’s provincial industrial carbon unlocking efficiency? Evidence from a geographically and temporally weighted regression model. Sci Total Environ 856(1):158971
Li G, Jin Y, Gao X (2023b) Digital transformation and pollution emission of enterprises: evidence from China’s micro-enterprises. Energy Rep 9(12):552–567
Li Hl, Zhu Xh, Chen JY, Jiang FT (2019) Environmental regulations, environmental governance efficiency and the green transformation of China’s iron and steel enterprises. Ecol Econ 165(11):106397
Liang X, Lin S, Bi X, Lu E, Li Z (2021) Chinese construction industry energy efficiency analysis with undesirable carbon emissions and construction waste outputs. Environ Sci Pollut Res 28:15838–15852
Liu Y, Qu Y, Cang Y, Ding X (2022) Ecological security assessment for megacities in the Yangtze River basin: Applying improved emergy-ecological footprint and DEA-SBM model. Ecol Indic 134(1):108481
Malinauskaite J, Jouhara H, Egilegor B, Al-Mansour F, Ahmad L, Pusnik M (2020) Energy efficiency in the industrial sector in the EU, Slovenia, and Spain. Energy 208(10):118398
Miao C, Fang D, Sun L, Luo Q (2017) Natural resources utilization efficiency under the influence of green technological innovation. Resour Conserv Recycl 126(11):153–161
Patterson MG (1996) What is energy efficiency?: concepts, indicators and methodological issues. Energy Policy 24(5):377–390
Qu C, Shao J, Shi Z (2020) Does financial agglomeration promote the increase of energy efficiency in China? Energy Policy 146(11):111810
Riti JS, Song D, Shu Y, Kamah M (2017) Decoupling CO2 emission and economic growth in China: is there consistency in estimation results in analyzing environmental Kuznets curve? J Clean Prod 166(10):1448–1461
Shahbaz M, Song M, Ahmad S, Vo XV (2022) Does economic growth stimulate energy consumption? The role of human capital and R&D expenditures in China. Energy Econ 105(1):105662
Shi X, Emrouznejad A, Yu W (2021) Overall efficiency of operational process with undesirable outputs containing both series and parallel processes: A SBM network DEA model. Expert Syst Appl 178(9):115062
Sokol O, Frýd L (2023) DEA efficiency in agriculture: measurement unit issues. Socioecon Plann Sci 86(4):101497
Sueyoshi T, Yuan Y, Goto M (2017) A literature study for DEA applied to energy and environment. Energy Econ 62(2):104–124
Tamazian A, Chousa JP, Vadlamannati KC (2009) Does higher economic and financial development lead to environmental degradation: evidence from BRIC countries. Energy policy 37(1):246–253
Tone K, Sahoo BK (2004) Degree of scale economies and congestion: a unified DEA approach. Eur J Oper Res 158(3):755–772
Tone K, Tsutsui M (2009) Network DEA: A slacks-based measure approach. Eur J Oper Res 197(1):243–252
Tone K, Tsutsui M (2010) Dynamic DEA: A slacks-based measure approach. Omega 38(3–4):145–156
Tone K, Tsutsui M (2014) Dynamic DEA with network structure: A slacks-based measure approach. Omega 42(1):124–131
Trianni A, Cagno E, Farné S (2016) Barriers, drivers and decision-making process for industrial energy efficiency: a broad study among manufacturing small and medium-sized enterprises. Appl Energy 162(1):1537–1551
Wang L, Wang Z, Ma Y (2022) Does environmental regulation promote the high-quality development of manufacturing? A quasi-natural experiment based on China’s carbon emission trading pilot scheme. Socioecon Plann Sci 81(11):101216
Wu J, Li M, Zhu Q, Zhou Z, Liang L (2019) Energy and environmental efficiency measurement of China’s industrial sectors: a DEA model with non-homogeneous inputs and outputs. Energy Economics 78(11):468–480
Xiao Y, Jiang Z, Gu Q, Yan W, Wang R (2021) A novel approach to CNC machining center processing parameters optimization considering energy-saving and low-cost. J Manuf Syst 59(4):535–548
Xu F, Chi G, Zhang Z, Yang J (2023) How does quality regional growth affect land resources dependence in China? Evidence based on spatial Durbin panel models. Resour Policy 81(3):103402
Yang F, Wang D, Zhao L, Wei F (2021) Efficiency evaluation for regional industrial water use and wastewater treatment systems in China: a dynamic interactive network slacks-based measure model. J Environ Manage 279(1):111721
Yao H, Xu P, Wang Y, Chen R (2023) Exploring the low-carbon transition pathway of China’s construction industry under carbon-neutral target: a socio-technical system transition theory perspective. J Environ Manage 327(2):116879
Yasmeen R, Zhang X, Tao R, Shah WUH (2023) The impact of green technology, environmental tax and natural resources on energy efficiency and productivity: perspective of OECD Rule of Law. Energy Rep 9(12):1308–1319
Zhang J, Zhang Y, Sun Y (2022a) Restart economy in a resilient way: the value of corporate social responsibility to firms in COVID-19. Financ Res Lett 47(6):102683
Zhang L, Zhuang Y, Chiu YH, Pang Q, Chen Z, Shi Z (2021) Measuring urban integrated water use efficiency and spatial migration path in China: a dynamic two-stage recycling model within the directional distance function. J Environ Manage 298(11):113379
Zhang L, Du X, Chiu YH, Pang Q, Wang X, Yu QW (2022b) Measuring industrial operational efficiency and factor analysis: a dynamic series-parallel recycling DEA model. Sci Total Environ 851(12):158084
Zhang R, Fu Y (2022) Technological progress effects on energy efficiency from the perspective of technological innovation and technology introduction: an empirical study of Guangdong. China Energy Rep 8(11):425–437
Funding
Not applicable
Author information
Authors and Affiliations
Contributions
Xin Feng: conceptualization, writing–original draft, visualization, investigation. Ruiqi Jin: conceptualization, writing–review and editing, methodology. Yung-ho Chiu: conceptualization, writing–review and editing, methodology, supervision. Lina Zhang: software, projection administration.
Corresponding author
Ethics declarations
Ethical approval
Not applicable
Informed consent
Not applicable
Consent to participate
Not applicable
Consent to publish
Not applicable
Conflict of interest
The authors declare no competing interests.
Additional information
Responsible Editor: Ilhan Ozturk
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Appendix
Appendix
Table 5
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Feng, X., Jin, R., Chiu, Yh. et al. The government-production nexus of energy efficiency in China’s construction industry: regional difference and factor analysis. Environ Sci Pollut Res 30, 106227–106241 (2023). https://doi.org/10.1007/s11356-023-29470-0
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11356-023-29470-0