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Does the integration of manufacturing and producer services improve carbon emission efficiency?

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Abstract

The integration of the advanced manufacturing industry and the modern service industry is an important direction for the transformation and upgrading of China’s manufacturing industry. However, the existing research focuses more on the level, motivation, and economic effects of the integration of manufacturing and producer services, and less on its environmental effects. In this paper, based on the panel data from 30 provincial regions in China from 2005 to 2019, an evaluation system for the integration of manufacturing and producer services (IMP) is constructed, and the carbon emission efficiency (CEE) is calculated through the super-efficiency SBM model. Based on the analysis of the influence mechanism of IMP on CEE, the mediation effect model and the spatial Durbin model are used to test the influence of the IMP on CEE. The results show that the IMP can significantly improve CEE, and indirectly promote CEE through four intermediary factors: value addition, cost reduction, industrial agglomeration and structure upgrading. Finally, we found the level of economic development, property rights structure and regional innovation can promote CEE to varying degrees. The intensity of environmental regulation, opening level and the energy consumption structure inhibit the efficiency of carbon emissions. The total impact of the IMP on CEE is greater in the western region than in the eastern and central regions, and the western region shows a more significant spatial spillover effect. The IMP has a greater effect on improving CEE, and shows a strong spatial spillover effect.

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References

  • Aparicio J, Ruiz JL, Sirvent I (2007) Closest targets and minimum distance to the pareto-efficient frontier in DEA. J Prod Anal 28(3):209–218

    Google Scholar 

  • Cao L, Li L, Wu Y, Zeng W (2020) Does industrial convergence promote regional metabolism? evidence from China. J Clean Prod 273:123010

    Google Scholar 

  • Chang Y, Zhang N, Danao D, Zhang N (2013) Environmental efficiency analysis of transportation system in China: A non-radial DEA approach. Energy Policy 58:277–283

    Google Scholar 

  • Chen L, He F (2017) Measurements and factors of carbon emission efficiency. Pol J Environ Stud 26:1963–1973

    CAS  Google Scholar 

  • Chen Q, Shen Y (2021) The impacts of offshore and onshore outsourcing on china’s upgrading in global value chains: evidence from its manufacturing and service sectors. Struct Chang Econ Dyn 59:263–280

    Google Scholar 

  • Chen Y, Zhu Z (2022) Liability structure and carbon emissions abatement: evidence from Chinese manufacturing enterprises. Environ Resour Econ 83(2):481–507

    Google Scholar 

  • Chen Y, Nie H, Chen J, Peng L (2021) Regional industrial synergy: potential and path crossing the “environmental mountain.” Sci Total Environ 765:142714

    CAS  Google Scholar 

  • Chun H, Hur J, Son NS (2021) Global value chains and servicification of manufacturing: evidence from firm-level data. Jpn World Econ 58:101074

    Google Scholar 

  • Ding J, Liu B, Shao X (2022) Spatial effects of industrial synergistic agglomeration and regional green development efficiency: evidence from China. Energy Econ 112:106156

    Google Scholar 

  • Dong F, Li Y, Zhang X, Zhu J, Zheng L (2021) How does industrial convergence affect the energy efficiency of manufacturing in newly industrialized countries? fresh evidence from China. J Clean Prod 316:128316

    Google Scholar 

  • Fang G, Gao Z, Tian L, Fu M (2022) What drives urban carbon emission efficiency?—spatial analysis based on nighttime light data. Appl Energy 312:118772

    Google Scholar 

  • Fukuyama H, Weber WL (2009) A directional slacks-based measure of technical inefficiency. Socioecon Plann Sci 43(4):274–287

    Google Scholar 

  • Gao J, Yao Y, Zhu VCY, Sun L, Lin L (2011) Service-oriented manufacturing: a new product pattern and manufacturing paradigm. J Intell Manuf 22(3):435–446

    Google Scholar 

  • Gao N, Zhao S, Zhang X (2009) Research on the service-oriented manufacturing model. Proceedings of the IEEE IEEM

  • Gomez-Calvet R (2014) Energy efficiency in the European union: what can be learned from the joint application of directional distance functions of directional distance functions and slacks-based measures? Appl Energy 132(11):137–154

    Google Scholar 

  • Guan Y, Shan Y, Huang Q, Chen H, Wang D, Hubacek K (2021) Assessment to China’s recent emission pattern shifts. Earth’s Future. https://doi.org/10.1029/2021EF002241

    Article  Google Scholar 

  • Guerrieri P, Meliciani V (2005) Technology and international competitiveness: The interdependence between manufacturing and producer services. Struct Chang Econ Dyn 16(4):489–502

    Google Scholar 

  • Guo B, Cao G (2017) Study on the measurement of carbon emission efficiency and emission reduction potential in China: an empirical analysis based on the undesirable SBM super efficiency model. Ecol Econ 33(08):20–24

    Google Scholar 

  • Guo XD, Zhu L, Fan Y, **e BC (2011) Evaluation of potential in carbon emissions in Chinese provinces based on environmental DEA. Energy Policy 39(5):2352–2360

    CAS  Google Scholar 

  • Henning M (2019) Regional labour flows between manufacturing and business services: reciprocal integration and uneven geography. Eur Urban Reg Stud 27(3):290–302

    Google Scholar 

  • Hu W, Wang D (2020) How does environmental regulation influence China’S carbon productivity? an empirical analysis based on the spatial spillover effect. J Clean Prod 257:120484

    Google Scholar 

  • ** Z, Li Z, Yang M (2022) producer service development and manufacturing carbon intensity: evidence from an international perspective. Energy Policy 170:113253

    CAS  Google Scholar 

  • Kaya Y, Yokobori K (1993) Global environment, energy, and economic development held at the United Nations University. Tokyo

  • Lanaspa L, Sanz-Gracia F, Vera-Cabello M (2016) The (strong) interdependence between intermediate producer services’ attributes and manufacturing location. Econ Model 57(2016):1–12

    Google Scholar 

  • Li H, Liu B (2022) The effect of industrial agglomeration on China’S carbon intensity: evidence from a dynamic panel model and a mediation effect model. Energy Rep 8:96–103

    Google Scholar 

  • Li L, Zhao H (2021) A study on the relationship between the integration of manufacturing and producer service and carbon emission efficiency. Econ Surv 38(05):71–79

    Google Scholar 

  • Li Z, Shao S, Shi X, Sun Y, Zhang X (2019) Structural transformation of manufacturing, natural resource dependence, and carbon emissions reduction: evidence of a threshold effect from China. J Clean Prod 206:920–927

    Google Scholar 

  • Li X, Lai X, Zhang F (2021) Research on green innovation effect of industrial agglomeration from perspective of environmental regulation: evidence in China. J Clean Prod 288:125583

    Google Scholar 

  • Li M, Li Q, Wang Y, Chen W (2022) Spatial path and determinants of carbon transfer in the process of inter provincial industrial transfer in China. Environ Impact Assess Rev 95:106810

    Google Scholar 

  • Lia X (2011) Upgrading of China’s manufacturing industry: two-sector analysis based on the facilitation of producer services. Procedia Environ Sci 10:307–312

    Google Scholar 

  • Liu H, Ling D (2020) Value chain reconstruction and sustainable development of green manufacturing industry. Sustain Comput Inform Syst 28:100418

    Google Scholar 

  • Liu F, Liu C (2019) Regional disparity, spatial spillover effects of urbanisation and carbon emissions in China. J Clean Prod 241:118226

    CAS  Google Scholar 

  • Liu J, Qian Y, Song S, Duan R (2022a) Industrial symbiotic agglomeration and green economic growth: a spatial difference-in-differences approach. J Clean Prod 364:132560

    Google Scholar 

  • Liu X, Zhang X, Sun W (2022b) Does the agglomeration of urban producer servicepromote carbon efficiency of manufacturing industry? Land Use Policy 120:106264

    Google Scholar 

  • Lu H, Zhou L, Chen Y, An Y, Hou C (2017) Degree of coupling and coordination of eco-economic system and the influencing factors: a case study in Yanchi County, Ningxia Hui autonomous region. China J Arid Land 9(3):446–457

    Google Scholar 

  • Luo J, Yang Z, Zhang Q, Pan R (2022) Service outsourcing strategy decision for value creation in manufacturing firms. J Manage Sci Eng 7(2):365–386

    Google Scholar 

  • Marklund PO, Samakovlis E (2007) What is driving the EU burden-sharing agreement: efficiency or equity. J Environ Manage 85(2):317–329

    Google Scholar 

  • Meng F, Su B, Thomson E, Zhou D, Zhou P (2016) Measuring China’s regional energy and carbon emission efficiency with DEA models: a survey. Appl Energy 183:1–21

    Google Scholar 

  • Pang J, Li N, Mu H, Zhang M, Zhao H (2022) Study on the spatial interaction between carbon emission intensity and shadow economy in China. Sci Total Environ 813:152616

    CAS  Google Scholar 

  • Pei Y, Zhu Y, Liu S, Wang X, Cao J (2019) Environmental regulation and carbon emission: the mediation effect of technical efficiency. J Clean Prod 236:117599

    CAS  Google Scholar 

  • Peng H, Lu Y, Gupta S (2022) Dynamic and heterogeneity assessment of carbon efficiency in the manufacturing industry in China: Implications for formulating carbon policies. Environ Impact Assess Rev 97(2022):106885

    Google Scholar 

  • Song Q, Zhou N, Liu T, Siehr SA, Qi Y (2018) Investigation of a “coupling model” of coordination between low-carbon development and urbanization in China. Energy Policy 121:346–354

    Google Scholar 

  • Su Y, Fan Q (2022) Renewable energy technology innovation, industrial structure upgrading and green development from the perspective of China’s provinces. Technol Forecast Soc Chang 180:121727

    Google Scholar 

  • Sueyoshi T, Yuan Y, Goto M (2017) A literature study for DEA applied to energy and environment. Energy Econ 62:104–124

    Google Scholar 

  • Sun W, Ren C (2021) The impact of energy consumption structure on China’s carbon emissions: taking the shannon-wiener index as a new indicator. Energy Rep 7:2605–2614

    Google Scholar 

  • Tang Y, Zhu S, Luo Y, Duan W (2022) Input servitization, global value chain, and carbon mitigation: an input-output perspective of global manufacturing industry. Econ Model 117:106069

    Google Scholar 

  • Tone K (2004) Dealing with undesirable outputs in DEA: a slacks-based measure (SBM) approach. GRIPS Res Rep Ser 2004:44–45

    Google Scholar 

  • Wang Q, Zhou P, Zhou D (2012) Efficiency measurement with carbon dioxide emissions: the case of China. Appl Energy 90:161–166

    Google Scholar 

  • Wang S, Tang Y, Du Z, Song M (2020) Export trade, embodied carbon emissions, and environmental pollution: an empirical analysis of china’s high- and new-technology industries. J Environ Manage 276:111371

    CAS  Google Scholar 

  • Wang F, Wang R, He Z (2021a) The impact of environmental pollution and green finance on the high-quality development of energy based on spatial dubin model. Resour Policy 74:102451

    Google Scholar 

  • Wang J, Dong K, Dong X, Jiang Q (2021b) Research on the carbon emission effect of the seven regions along the belt and road—based on the spillover and feedback effects model. J Clean Prod 319:128758

    CAS  Google Scholar 

  • Wang Y, Fang X, Yin S, Chen W (2021c) Low-carbon development quality of cities in China: evaluation and obstacle analysis. Sustain Cities Soc 64:102553

    Google Scholar 

  • Wang Y, Niu Y, Li M, Yu Q, Chen W (2022a) Spatial structure and carbon emission of urban agglomerations: spatiotemporal characteristics and driving forces. Sustain Cities Soc 78:103600

    Google Scholar 

  • Wang Y, Yin S, Fang X, Chen W (2022b) Interaction of economic agglomeration, energy conservation and emission reduction: evidence from three major urban agglomerations in China. Energy 241:122519

    Google Scholar 

  • Wei Z, Han B, Pan X, Shahbaz M, Zafar MW (2020) Effects of diversified openness channels on the total-factor energy efficiency in china’s manufacturing sub-sectors: evidence from trade and FDI spillovers. Energy Econ 90:104836

    Google Scholar 

  • Wu K, You K, Ren H, Gan L (2022) The impact of industrial agglomeration on ecological efficiency: an empirical analysis based on 244 Chinese cities. Environ Impact Assess Rev 96:106841

    Google Scholar 

  • **a D, Zhang L (2022) Coupling coordination degree between coal production reduction and CO2 emission reduction in coal industry. Energy 258:124902

    CAS  Google Scholar 

  • Xu T, Kang C, Zhang H (2022) China’s efforts towards carbon neutrality: does energy-saving and emission-reduction policy mitigate carbon emissions? J Environ Manage 316:115286

    CAS  Google Scholar 

  • Xu H, Liu W, Zhang D (2023) Exploring the role of co-agglomeration of manufacturing and producer services on carbon productivity: an empirical study of 282 cities in China. J Clean Prod 399(2023):136674

    Google Scholar 

  • Yang H, Luo L, Li C (2013) The rise of the manufacturing service industry: the perspective of value-added chain model. Chin Manag Stud 7(3):403–418

    Google Scholar 

  • Yu Q, Li M, Li Q, Wang Y, Chen W (2022) Economic agglomeration and emissions reduction: does high agglomeration in China’s urban clusters lead to higher carbon intensity? Urban Climate 43:101174

    Google Scholar 

  • Yuan F, Gao J, Wang L, Cai Y (2017) Co-location of manufacturing and producer services in Nan**g. China Cities 63:81–91

    Google Scholar 

  • Zhang A, Deng R (2021) Coupling coordination degree of carbon emission efficiency and industrial structure optimization in six provinces of central china and research on its influencing factors. Ecol Econ 37(03):31–37

    Google Scholar 

  • Zhang J, Zhang K, Zhao F (2020) Research on the regional spatial effects of green development and environmental governance in China based on a spatial autocorrelation model. Struct Chang Econ Dyn 55:1–11

    Google Scholar 

  • Zhang R, Tai H, Chen K, Zhu Y (2022) Carbon emission efficiency network formation mechanism and spatial correlation complexity analysis: taking the Yangtze river economic belt as an example. Sci Total Environ 841(2022):156719

    CAS  Google Scholar 

  • Zhao J, Dong X, Dong K (2021) How does producer services ’agglomeration promote carbon reduction?: the case of China. Econ Model 104:105624

    Google Scholar 

  • Zheng H, He Y (2022) How does industrial co-agglomeration affect high-quality economic development? evidence from chengdu-chongqing economic circle in China. J Clean Prod 371:133485

    CAS  Google Scholar 

  • Zong Y, Gu G (2022) The threshold effect of manufacturing servitization on carbon emission: an empirical analysis based on multinational panel data. Struct Chang Econ Dyn 60:353–364

    Google Scholar 

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Funding

This work was supported by National Natural Science Foundation of China (72074181), Innovation Capability Support Program of Shaanxi (2021KJXX-12), Natural Science Basic Research Program of Shaanxi Province (2022JM-422), Shaanxi Livestock and Poultry Breeding Double-chain Fusion Key Project (2022GD-TSLD-46).

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Contributions

**ao Yingtong: Formal analysis, Writing-original draft, Visualization; Yalin Xu: Data curation, Visualization; Meng Li: Writing-original draft, Visualization; Yanan Wang: Supervision, Funding acquisition, Writing-review & editing; Wei Chen: Supervision, Writing-review & editing, Supervision, Funding acquisition; All authors reviewed the manuscript.

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Correspondence to Yanan Wang.

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**ao, Y., Xu, Y., Li, M. et al. Does the integration of manufacturing and producer services improve carbon emission efficiency?. Clean Techn Environ Policy 26, 1603–1619 (2024). https://doi.org/10.1007/s10098-023-02567-3

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