Skip to main content

Advertisement

Log in

What is the degree of high-quality development of oil–gas resource-based cities in China: based on a new total factor productivity measurement method

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

Abstract

Oil–gas resource-based cities play a huge role in China’s social economy, and the proposal of carbon peak and carbon neutrality has made their demand for high-quality development more urgent. This study first proposes high-quality total factor productivity and constructs the static economic system, ecosystem, and social system–Slacks-Based Measure (ESE-SBM) and dynamic economic system, ecosystem, and social system–global Malmquist–Luenberger (ESE-GML) high-quality total factor productivity measurement models based on the panel data of 18 oil–gas resource-based cities from 2007 to 2018; the high-quality development foundation of oil–gas resource-based cities is divided into good, moderate, and poor according to the static ESE-SBM measurement results; and the high-quality development process is divided into good and poor according to the dynamic ESE-GML decomposition results. The results show that: first, since the concept of high-quality development was proposed in 2017, the high-quality total factor productivity of most oil–gas resource-based cities has improved; second, there is a large difference between high-quality total factor productivity, green total factor productivity, and total factor productivity, Yan’an, Yulin, Karamay, and Qingyang are cities with a good foundation for high-quality development, Songyuan, Daqing, and Panjin are moderate, Nanchong, Ordos, Dongying, Guangan, Dazhou, Puyang, Luzhou, Tangshan, Zibo, and Nanyang are poor; third, the average values of pure efficiency change (0.95) and scale efficiency change (0.97) are less than 1, indicating the efficiency of production activities and development scale decline in the process of high-quality development, and the average values of pure technological progress change (1.01) and technological scale change (1.09) are greater than 1, indicating technology and technological scale effect increase in the process of high-quality development. In addition, they have different impacts on the high-quality development of oil–gas resource-based cities. Songyuan, Yulin, Qingyang, Daqing, Dongying, Dazhou, Karamay, Puyang, Luzhou, and Zibo are identified as cities with better high-quality development process, and Nanchong, Yan’an, Ordos, Guangan, Jiuquan, Panjin, Tangshan, and Nanyang are poor. This study is helpful to explore the degree of high-quality development of different oil–gas resource-based cities and changes sources of high-quality total factor productivity.

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
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13

Similar content being viewed by others

Data availability

Data will be made available on request.

References

  • Atil, A., Nawaz, K., Lahiani, A., & Roubaud, D. (2020). Are natural resources a blessing or a curse for financial development in Pakistan? The importance of oil prices, economic growth and economic globalization. Resources Policy, 67, 101683.

    Article  Google Scholar 

  • Chen, L., & Huo, C. (2022). The measurement and influencing factors of high-quality economic development in China. Sustainability, 14(15), 9293.

    Article  Google Scholar 

  • Chen, W., Shen, Y., & Wang, Y. (2018). Evaluation of economic transformation and upgrading of resource-based cities in Shaanxi province based on an improved TOPSIS method. Sustainable Cities and Society, 37, 232–240.

    Article  Google Scholar 

  • Chen, J., Gao, M., Cheng, S., Hou, W., Song, M., Liu, X., & Shan, Y. (2020). County-level CO2 emissions and sequestration in China during 1997–2017. Scientific Data, 7(1), 391.

    Article  Google Scholar 

  • Cheng, Z., Li, X., Zhu, Y., & Wang, M. (2023). The effects of agglomeration externalities on urban green total-factor productivity in China. Economic Systems, 47(2), 101025.

    Article  Google Scholar 

  • Chung, Y. H., Färe, R., & Grosskopf, S. (1997). Productivity and undesirable outputs: a directional distance function approach. Journal of Environmental Management, 51(3), 229–240.

    Article  Google Scholar 

  • Dong, S. C., Li, Z. H., Li, B., & Xue, M. (2007). The problems and strategies on economic transformation of resource-based cities in China. China Population, Resources and Environment, 17(5), 12–17.

    Article  Google Scholar 

  • Dufrechou, P. A. (2016). The efficiency of public education spending in Latin America: A comparison to high-income countries. International Journal of Educational Development, 49, 188–203.

    Article  Google Scholar 

  • Fan, F., & Zhang, X. (2021). Transformation effect of resource-based cities based on PSM-DID model: An empirical analysis from China. Environmental Impact Assessment Review, 91, 106648.

    Article  Google Scholar 

  • Fan, F., Lian, H., Liu, X., & Wang, X. (2021). Can environmental regulation promote urban green innovation Efficiency? An empirical study based on Chinese cities. Journal of Cleaner Production, 287, 125060.

    Article  Google Scholar 

  • Feng, C., Huang, J. B., & Wang, M. (2018). Analysis of green total-factor productivity in China’s regional metal industry: A meta-frontier approach. Resources Policy, 58, 219–229.

    Article  Google Scholar 

  • Feng, Y., Zhong, S., Li, Q., Zhao, X., & Dong, X. (2019). Ecological well-being performance growth in China (1994–2014): From perspectives of industrial structure green adjustment and green total factor productivity. Journal of Cleaner Production, 236, 117556.

    Article  Google Scholar 

  • Geng, Z., Song, G., Han, Y., & Chu, C. (2021). Static and dynamic energy structure analysis in the world for resource optimization using total factor productivity method based on slacks-based measure integrating data envelopment analysis. Energy Conversion and Management, 228, 113713.

    Article  Google Scholar 

  • Greene, W. (2010). A stochastic frontier model with correction for sample selection. Journal of Productivity Analysis, 34, 15–24.

    Article  Google Scholar 

  • Grifell-Tatjé, E., & Lovell, C. K. (1999). A generalized Malmquist productivity index. Top, 7, 81–101.

    Article  Google Scholar 

  • Guo, J., & Sun, Z. (2023). How does manufacturing agglomeration affect high-quality economic development in China? Economic Analysis and Policy, 78, 673–691.

    Article  Google Scholar 

  • Guo, B., Wang, Y., Zhang, H., Liang, C., Feng, Y., & Hu, F. (2023). Impact of the digital economy on high-quality urban economic development: Evidence from Chinese cities. Economic Modelling, 120, 106194.

    Article  Google Scholar 

  • He, S. Y., Lee, J., Zhou, T., & Wu, D. (2017). Shrinking cities and resource-based economy: The economic restructuring in China’s mining cities. Cities, 60, 75–83.

    Article  Google Scholar 

  • Hua, X., Lv, H., & Jin, X. (2021). Research on high-quality development efficiency and total factor productivity of regional economies in China. Sustainability, 13(15), 8287.

    Article  Google Scholar 

  • Huang, C., Huang, P., Wang, X., & Zhou, Z. (2018). Assessment and optimization of green space for urban transformation in resources-based city—A case study of Lengshuijiang city, China. Urban Forestry & Urban Greening, 30, 295–306.

    Article  Google Scholar 

  • Huang, X., Binqing, C. A. I., & Yalin, L. I. (2020). Evaluation index system and measurement of high-quality development in China. Revista De Cercetare Si Interventie Sociala, 68, 163.

    Article  Google Scholar 

  • Jiakui, C., Abbas, J., Najam, H., Liu, J., & Abbas, J. (2023). Green technological innovation, green finance, and financial development and their role in green total factor productivity: Empirical insights from China. Journal of Cleaner Production, 382, 135131.

    Article  Google Scholar 

  • Jiang, L., Zuo, Q., Ma, J., & Zhang, Z. (2021). Evaluation and prediction of the level of high-quality development: A case study of the Yellow River Basin, China. Ecological Indicators, 129, 107994.

    Article  Google Scholar 

  • Jing, Z., & Wang, J. (2020). Sustainable development evaluation of the society–economy–environment in a resource-based city of China: A complex network approach. Journal of Cleaner Production, 263, 121510.

    Article  Google Scholar 

  • Lee, C. C., & Lee, C. C. (2022). How does green finance affect green total factor productivity? Evidence from China. Energy Economics, 107, 105863.

    Article  Google Scholar 

  • Li, Y., & Chen, Y. (2021). Development of an SBM-ML model for the measurement of green total factor productivity: The case of pearl river delta urban agglomeration. Renewable and Sustainable Energy Reviews, 145, 111131.

    Article  Google Scholar 

  • Li, L. B., & Hu, J. L. (2012). Ecological total-factor energy efficiency of regions in China. Energy Policy, 46, 216–224.

    Article  Google Scholar 

  • Li, Y., & Liu, W. (2023). Spatial effects of environmental regulation on high-quality economic development: From the perspective of industrial upgrading. Frontiers in Public Health, 11, 1099887.

    Article  Google Scholar 

  • Li, H., Xiong, Z., & Xie, Y. (2018). Resource tax reform and economic structure transition of resource-based economies. Resources, Conservation and Recycling, 136, 389–398.

    Article  Google Scholar 

  • Li, Q., Liu, S., Yang, M., & Xu, F. (2021). The effects of China’s sustainable development policy for resource-based cities on local industrial transformation. Resources Policy, 71, 101940.

    Article  Google Scholar 

  • Li, F., Wu, Y., Liu, J., & Zhong, S. (2022). Does digital inclusive finance promote industrial transformation? New evidence from 115 resource-based cities in China. PLoS ONE, 17(8), e0273680.

    Article  Google Scholar 

  • Liu, E. N., Wang, Y., Chen, W., Chen, W., & Ning, S. (2021a). Evaluating the transformation of China’s resource-based cities: An integrated sequential weight and TOPSIS approach. Socio-Economic Planning Sciences, 77, 101022.

    Article  Google Scholar 

  • Liu, P., Zhu, B., & Yang, M. (2021b). Has marine technology innovation promoted the high-quality development of the marine economy? Evidence from coastal regions in China. Ocean & Coastal Management, 209, 105695.

    Article  Google Scholar 

  • Lyu, Y., Wang, W., Wu, Y., & Zhang, J. (2023). How does digital economy affect green total factor productivity? Evidence from China. Science of the Total Environment, 857, 159428.

    Article  Google Scholar 

  • Ma, D., & Zhu, Q. (2022). Innovation in emerging economies: Research on the digital economy driving high-quality green development. Journal of Business Research, 145, 801–813.

    Article  Google Scholar 

  • Ma, Y., Shang, M., Yang, F., & Li, C. (2023). Exploration of the Role of Human Capital in China’s High-Quality Economic Development and Analysis of Its Spatial Characteristics. Sustainability, 15(5), 3900.

    Article  Google Scholar 

  • Pan, X., Uddin, M. K., Han, C., & Pan, X. (2019). Dynamics of financial development, trade openness, technological innovation and energy intensity: Evidence from Bangladesh. Energy, 171, 456–464.

    Article  Google Scholar 

  • Pezzey, J., & Withagen, C. A. (1998). The rise, fall and sustainability of capital-resource economies. Scandinavian Journal of Economics, 100(2), 513–527.

    Article  Google Scholar 

  • Shan, H. J. (2008). Re-estimation of China’s Capital stock K: 1952–2006. Journal of Quantitative and Technical Economics, 25(10), 17–31.

    Google Scholar 

  • Shao, L., Yu, X., & Feng, C. (2019). Evaluating the eco-efficiency of China’s industrial sectors: A two-stage network data envelopment analysis. Journal of Environmental Management, 247, 551–560.

    Article  Google Scholar 

  • Shi, L. (2020). Industrial structure changes, spatial spillover and economic growth in the Yangtze River Delta. Journal of Coastal Research, 107(SI), 377–382.

    Article  Google Scholar 

  • Shi, X., & Li, L. (2019). Green total factor productivity and its decomposition of Chinese manufacturing based on the MML index: 2003–2015. Journal of Cleaner Production, 222, 998–1008.

    Article  Google Scholar 

  • Shi, X. H., Chen, X., Han, L., & Zhou, Z. J. (2023). The mechanism and test of the impact of environmental regulation and technological innovation on high quality development. Journal of Combinatorial Optimization, 45(1), 52.

    Article  Google Scholar 

  • Sun, Z., & Ma, H. (2018). Assessment of the sustainable development of the Beijing–Tianjin–Hebei urban agglomeration based on a back propagation neural network. Acta Ecologica Sinica, 38(12), 4434–4444.

    Google Scholar 

  • Tang, D., Zhong, H., Zhang, J., Dai, Y., & Boamah, V. (2022). The effect of green finance on the ecological and environmental quality of the Yangtze River economic belt. International Journal of Environmental Research and Public Health, 19(19), 12492.

    Article  Google Scholar 

  • Usman, M., Jahanger, A., Makhdum, M. S. A., Balsalobre-Lorente, D., & Bashir, A. (2022). How do financial development, energy consumption, natural resources, and globalization affect Arctic countries’ economic growth and environmental quality? An Advanced Panel Data Simulation. Energy, 241, 122515.

    Article  Google Scholar 

  • Valadkhani, A., Roshdi, I., & Smyth, R. (2016). A multiplicative environmental DEA approach to measure efficiency changes in the world’s major polluters. Energy Economics, 54, 363–375.

    Article  Google Scholar 

  • Wang, J., Gao, X., Jia, R., & Zhao, L. (2022). Evaluation index system construction of high-quality development of Chinese real enterprises based on factor analysis and AHP. Discrete Dynamics in Nature and Society, 2022, 1–12.

    Article  Google Scholar 

  • Wang, L., Wang, Z., & Ma, Y. (2022b). Does environmental regulation promote the high-quality development of manufacturing? A quasi-natural experiment based on China’s carbon emission trading pilot scheme. Socio-Economic Planning Sciences, 81, 101216.

    Article  Google Scholar 

  • Wang, S., Wang, X., & Lu, B. (2022c). Is resource abundance a curse for green economic growth? Evidence from Developing Countries. Resources Policy, 75, 102533.

    Google Scholar 

  • Wang, S., Yang, C., & Li, Z. (2022d). Green total factor productivity growth: Policy-guided or market-driven? International Journal of Environmental Research and Public Health, 19(17), 10471.

    Article  Google Scholar 

  • Wang, Y., Chen, H., Long, R., Sun, Q., Jiang, S., & Liu, B. (2022e). Has the sustainable development planning policy promoted the green transformation in China’s resource-based cities? Resources, Conservation and Recycling, 180, 106181.

    Article  Google Scholar 

  • Wang, C., Zeng, J., Zhong, H., & Si, W. (2023a). Scientific research input and output efficiency evaluation of universities in Chengdu-Chongqing economic circle based on data envelopment analysis. PLoS ONE, 18(7), e0287692.

    Article  Google Scholar 

  • Wang, X., Han, R., & Zhao, M. (2023b). Evaluation and Impact Mechanism of High-Quality Development in China’s Coastal Provinces. International Journal of Environmental Research and Public Health, 20(2), 1336.

    Article  Google Scholar 

  • Wang, X., Wang, Y. (2021). The measurement and influencing factors of China’s industrial high-quality development from the perspective of industrial intelligence. International Journal of Frontiers in Engineering Technology, 3(10).

  • Wątróbski, J., Ziemba, P., Jankowski, J., & Zioło, M. (2016). Green energy for a green city—A multi-perspective model approach. Sustainability, 8(8), 702.

    Article  Google Scholar 

  • Wu, H., Li, Y., Hao, Y., Ren, S., & Zhang, P. (2020). Environmental decentralization, local government competition, and regional green development: Evidence from China. Science of the Total Environment, 708, 135085.

    Article  Google Scholar 

  • Wu, H., Hao, Y., Ren, S., Yang, X., & Xie, G. (2021). Does internet development improve green total factor energy efficiency? Evidence from China. Energy Policy, 153, 112247.

    Article  Google Scholar 

  • Wu, K., Zhang, W. Z., Zhang, P. Y., et al. (2023). High-quality development of resource-based cities in China: Dilemma and breakthrough. Journal of Natural Resources, 38(1), 1–21.

    Article  Google Scholar 

  • Xie, W., Yan, T., Xia, S., & Chen, F. (2020). Innovation or introduction? The impact of technological progress sources on industrial green transformation of resource-based cities in China. Frontiers in Energy Research, 8, 301.

    Article  Google Scholar 

  • Xie, R., Fu, W., Yao, S., & Zhang, Q. (2021). Effects of financial agglomeration on green total factor productivity in Chinese cities: Insights from an empirical spatial Durbin model. Energy Economics, 101, 105449.

    Article  Google Scholar 

  • Xiong, X., Yang, G. L., & Guan, Z. C. (2018). Assessing R&D efficiency using a two-stage dynamic DEA model: A case study of research institutes in the Chinese Academy of Sciences. Journal of Informetrics, 12(3), 784–805.

    Article  Google Scholar 

  • Xu, F., Li, Q., & Yang, M. (2022a). The impacts of high-speed rail on the transformation of resource-based cities in China: A market segmentation perspective. Resources Policy, 78, 102807.

    Article  Google Scholar 

  • Xu, Y., Cheng, Y., Zheng, R., & Wang, Y. (2022b). Spatiotemporal evolution and influencing factors of carbon emission efficiency in the Yellow River Basin of China: Comparative analysis of resource and non-resource-based cities. International Journal of Environmental Research and Public Health, 19(18), 11625.

    Article  Google Scholar 

  • Yan, B. R., Dong, Q. L., Li, Q., Amin, F. U., & Wu, J. N. (2021). A study on the coupling and coordination between logistics industry and economy in the background of high-quality development. Sustainability, 13(18), 10360.

    Article  Google Scholar 

  • Yang, M., Hou, Y., Ji, Q., & Zhang, D. (2020). Assessment and optimization of provincial CO2 emission reduction scheme in China: An improved ZSG-approach. Energy Economics, 91, 104931.

    Article  Google Scholar 

  • Yang, G., Deng, F., Wang, Y., & Xiang, X. (2022a). Digital paradox: Platform economy and high-quality economic development—New evidence from provincial panel data in China. Sustainability, 14(4), 2225.

    Article  Google Scholar 

  • Yang, Y., Wei, X., Wei, J., & Gao, X. (2022b). Industrial structure upgrading, green total factor productivity and carbon emissions. Sustainability, 14(2), 1009.

    Article  Google Scholar 

  • Ye, Y., Xu, Z., & Chen, W. (2023). The heterogeneous effect of financial technology on green total factor productivity in China. Journal of Innovation & Knowledge, 8(3), 100390.

    Article  Google Scholar 

  • Yin, Q., Wang, Y., Xu, Z., Wan, K., & Wang, D. (2022). Factors influencing green transformation efficiency in China’s mineral resource-based cities: Method analysis based on IPAT-E and PLS-SEM. Journal of Cleaner Production, 330, 129783.

    Article  Google Scholar 

  • Yin, X., Qi, L., & Zhou, J. (2023). The impact of heterogeneous environmental regulation on high-quality economic development in China: Based on the moderating effect of digital finance. Environmental Science and Pollution Research, 30(9), 24013–24026.

    Article  Google Scholar 

  • Yuan, W., Li, J., Meng, L., Qin, X., & Qi, X. (2019). Measuring the area green efficiency and the influencing factors in urban agglomeration. Journal of Cleaner Production, 241, 118092.

    Article  Google Scholar 

  • Zhang, X., Guo, W., & Bashir, M. B. (2022). Inclusive green growth and development of the high-quality tourism industry in China: The dependence on imports. Sustainable Production and Consumption, 29, 57–78.

    Article  Google Scholar 

  • Zhang, X., Long, X., Zhang, Z., Yu, C., & Huang, R. (2023). Assessing the impact of a regional integration policy on corporate environmental performance: Micro-evidence from Chinese industrial firms. Sustainability, 15(16), 12301.

    Article  Google Scholar 

  • Zhao, Y., Yang, Y., Leszek, S., & Wang, X. (2021). Experience in the transformation process of “coal city” to “beautiful city”: Taking Jiaozuo City as an example. Energy Policy, 150, 112164.

    Article  Google Scholar 

  • Zhong, Z., & Chen, Z. (2023). Business environment, technological innovation and government intervention: Influences on high-quality economic development. Management Decision, 61, 2413–2441.

    Article  Google Scholar 

  • Zhou, C., Li, X., Lin, X., & Cheng, M. (2022a). Influencing factors of the high-quality economic development in China based on LASSO model. Energy Reports, 8, 1055–1065.

    Article  Google Scholar 

  • Zhou, M., Sun, H., & Ke, N. (2022b). The spatial and temporal evolution of coordination degree concerning China’s cultivated land green utilization efficiency and high-quality agricultural development. Land, 12(1), 127.

    Article  Google Scholar 

  • Zhu, Y., Liang, D., & Liu, T. (2020). Can China’s underdeveloped regions catch up with green economy? A convergence analysis from the perspective of environmental total factor productivity. Journal of Cleaner Production, 255, 120216.

    Article  Google Scholar 

Download references

Acknowledgements

This research is financially supported by the National Natural Science Foundation of China [Grant No. 72273151].

Funding

The authors would like to thank the National Natural Science Foundation of China (Grant No. 72273151) for funding this study. We also acknowledge the editors and reviewers of the Technological Forecasting and Social Change for helping improve this study.

Author information

Authors and Affiliations

Authors

Contributions

RS involved in writing—reviewing and editing, and supervision. NY contributed to conceptualization, formal analysis, and writing—original draft.DH involved in methodology and data curation. SY contributed to resources and software. HH involved in validation. All authors have read and agreed to the published version of the manuscript.

Corresponding author

Correspondence to Nan Yu.

Additional information

Publisher's Note

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

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file 1 (XLSX 59 kb)

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.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Sun, R., Yu, N., Hu, D. et al. What is the degree of high-quality development of oil–gas resource-based cities in China: based on a new total factor productivity measurement method. Environ Dev Sustain (2023). https://doi.org/10.1007/s10668-023-04333-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s10668-023-04333-3

Keywords

Navigation