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Impact of R&D and innovation in Chinese road transportation sustainability performance: A novel trigonometric envelopment analysis for ideal solutions (TEA-IS)

Author

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  • Antunes, Jorge
  • Tan, Yong
  • Wanke, Peter
  • Jabbour, Charbel Jose Chiappetta

Abstract

Previous road transportation sustainability studies not only neglected the epistemic uncertainty that surrounds the impact of innovation and Research and Development (R&D) expenditure on pollutant emissions performance but also failed in designing and simultaneously exploring the strengths of alternative MCDM (Multiple-Criteria Decision-Making) approaches to better discriminate performance scores. This paper focuses on these two gaps by presenting a road transportation sustainability performance assessment of 29 Chinese provinces for a 14-year period in light of relevant socioeconomic and demographic variables. First, a novel TEA-IS model is developed to assess road transportation sustainability performance. Besides possessing the beneficial features of each model, this hybrid DEA-TOPSIS can analyze the sustainability performance from the perspective of the synergistic effects among the criteria. From the socioeconomic and demographic perspectives, we use machine learning techniques for predicting high-low performance and synergistic Chinese provinces. Results suggest that the discriminatory power of TEA-IS is good and there is high synergy in Chinese provinces in terms of sustainable road transportation. We further find that there is a high level of heterogeneity in road transportation sustainability among different geographical locations in China. The results further suggest that higher levels of synergy are strongly associated with medium and high-performing provinces. Finally, we find that innovation index, foreign direct investment, and non-coastal cities have both higher performance and synergy levels. We recommend that Chinese government should further provide favorable policies to enhance innovation and efforts should also be made to provide better environment for attracting more foreign direct investment. Finally, instead of road transportation, other modes of transportation, such as air and sea, are recommended to be further developed and utilized.

Suggested Citation

  • Antunes, Jorge & Tan, Yong & Wanke, Peter & Jabbour, Charbel Jose Chiappetta, 2023. "Impact of R&D and innovation in Chinese road transportation sustainability performance: A novel trigonometric envelopment analysis for ideal solutions (TEA-IS)," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
    • Handle: RePEc:eee:soceps:v:87:y:2023:i:pa:s0038012123000447
    DOI: 10.1016/j.seps.2023.101544
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    References listed on IDEAS

    as
    1. Mullen, Katharine M. & Ardia, David & Gil, David L. & Windover, Donald & Cline, James, 2011. "DEoptim: An R Package for Global Optimization by Differential Evolution," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 40(i06).
    2. B. Hollingsworth & P. Smith, 2003. "Use of ratios in data envelopment analysis," Applied Economics Letters, Taylor & Francis Journals, vol. 10(11), pages 733-735.
    3. Daniel D. Lee & H. Sebastian Seung, 1999. "Learning the parts of objects by non-negative matrix factorization," Nature, Nature, vol. 401(6755), pages 788-791, October.
    4. Gan, Lin, 2003. "Globalization of the automobile industry in China: dynamics and barriers in greening of the road transportation," Energy Policy, Elsevier, vol. 31(6), pages 537-551, May.
    5. Barak, Sasan & Javanmard, Shima, 2020. "Outsourcing modelling using a novel interval-valued fuzzy quantitative strategic planning matrix (QSPM) and multiple criteria decision-making (MCDMs)," International Journal of Production Economics, Elsevier, vol. 222(C).
    6. Desheng Wu & Liang Liang & Zhimin Huang & Susan X. Li, 2005. "Aggregated Ratio Analysis In Dea," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 4(03), pages 369-384.
    7. Choi, Yongrok & Zhang, Ning & Zhou, P., 2012. "Efficiency and abatement costs of energy-related CO2 emissions in China: A slacks-based efficiency measure," Applied Energy, Elsevier, vol. 98(C), pages 198-208.
    8. Picazo-Tadeo, Andrés J. & Beltrán-Esteve, Mercedes & Gómez-Limón, José A., 2012. "Assessing eco-efficiency with directional distance functions," European Journal of Operational Research, Elsevier, vol. 220(3), pages 798-809.
    9. Li, Fangyi & Cai, Bofeng & Ye, Zhaoyang & Wang, Zheng & Zhang, Wei & Zhou, Pan & Chen, Jian, 2019. "Changing patterns and determinants of transportation carbon emissions in Chinese cities," Energy, Elsevier, vol. 174(C), pages 562-575.
    10. Dariush Khezrimotlagh & Yao Chen, 2018. "Data Envelopment Analysis," International Series in Operations Research & Management Science, in: Decision Making and Performance Evaluation Using Data Envelopment Analysis, chapter 0, pages 217-234, Springer.
    11. Cole, Matthew A. & Elliott, Robert J.R. & Okubo, Toshihiro, 2010. "Trade, environmental regulations and industrial mobility: An industry-level study of Japan," Ecological Economics, Elsevier, vol. 69(10), pages 1995-2002, August.
    12. Ali Diabat & Udaya Shetty & T. Pakkala, 2015. "Improved efficiency measures through directional distance formulation of data envelopment analysis," Annals of Operations Research, Springer, vol. 229(1), pages 325-346, June.
    13. Zhang, Ning & Yu, Keren & Chen, Zhongfei, 2017. "How does urbanization affect carbon dioxide emissions? A cross-country panel data analysis," Energy Policy, Elsevier, vol. 107(C), pages 678-687.
    14. Demir, Emrah & Bektaş, Tolga & Laporte, Gilbert, 2014. "A review of recent research on green road freight transportation," European Journal of Operational Research, Elsevier, vol. 237(3), pages 775-793.
    15. Vivien Fisch-Romito & Céline Guivarch, 2019. "Transportation infrastructures in a low carbon world: An evaluation of investment needs and their determinants," Post-Print hal-02131954, HAL.
    16. Bezerra, Barbara Stolte & dos Santos, Ana Laura Lordelo & Delmonico, Diego V.G., 2020. "Unfolding barriers for urban mobility plan in small and medium municipalities – A case study in Brazil," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 808-822.
    17. Malte Meinshausen & Nicolai Meinshausen & William Hare & Sarah C. B. Raper & Katja Frieler & Reto Knutti & David J. Frame & Myles R. Allen, 2009. "Greenhouse-gas emission targets for limiting global warming to 2 °C," Nature, Nature, vol. 458(7242), pages 1158-1162, April.
    18. Beltrán-Esteve, Mercedes & Picazo-Tadeo, Andrés J., 2015. "Assessing environmental performance trends in the transport industry: Eco-innovation or catching-up?," Energy Economics, Elsevier, vol. 51(C), pages 570-580.
    19. Ozren Despić & Mladen Despić & Joseph Paradi, 2007. "DEA-R: ratio-based comparative efficiency model, its mathematical relation to DEA and its use in applications," Journal of Productivity Analysis, Springer, vol. 28(1), pages 33-44, October.
    20. Diaz-Balteiro, L & González-Pachón, J. & Romero, C., 2017. "Measuring systems sustainability with multi-criteria methods: A critical review," European Journal of Operational Research, Elsevier, vol. 258(2), pages 607-616.
    21. Feng Li & Jian Song & Alexandre Dolgui & Liang Liang, 2017. "Using common weights and efficiency invariance principles for resource allocation and target setting," International Journal of Production Research, Taylor & Francis Journals, vol. 55(17), pages 4982-4997, September.
    22. Kim, Euijune & Hewings, Geoffrey J.D. & Amir, Hidayat, 2017. "Economic evaluation of transportation projects: An application of Financial Computable General Equilibrium model," Research in Transportation Economics, Elsevier, vol. 61(C), pages 44-55.
    23. Bilbao-Ubillos, Javier, 2008. "The costs of urban congestion: Estimation of welfare losses arising from congestion on cross-town link roads," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(8), pages 1098-1108, October.
    24. Zhu, Zhenran & Zhang, Anming & Zhang, Yahua, 2018. "Connectivity of intercity passenger transportation in China: A multi-modal and network approach," Journal of Transport Geography, Elsevier, vol. 71(C), pages 263-276.
    25. M I Gonzalez-Bravo, 2007. "Prior-Ratio-Analysis procedure to improve data envelopment analysis for performance measurement," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(9), pages 1214-1222, September.
    26. Zuo, Chengchoa & Birkin, Mark & Clarke, Graham & McEvoy, Fiona & Bloodworth, Andrew, 2018. "Reducing carbon emissions related to the transportation of aggregates: Is road or rail the solution?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 117(C), pages 26-38.
    27. Yong Tan & Peter Wanke & Jorge Antunes & Ali Emrouznejad, 2021. "Unveiling endogeneity between competition and efficiency in Chinese banks: a two-stage network DEA and regression analysis," Annals of Operations Research, Springer, vol. 306(1), pages 131-171, November.
    28. A Hadi-Vencheh & A Esmaeilzadeh, 2013. "A new super-efficiency model in the presence of negative data," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 64(3), pages 396-401, March.
    29. Ciliberti, Francesco & Pontrandolfo, Pierpaolo & Scozzi, Barbara, 2008. "Logistics social responsibility: Standard adoption and practices in Italian companies," International Journal of Production Economics, Elsevier, vol. 113(1), pages 88-106, May.
    30. Marleau Donais, Francis & Abi-Zeid, Irène & Waygood, E. Owen D. & Lavoie, Roxane, 2022. "Municipal decision-making for sustainable transportation: Towards improving current practices for street rejuvenation in Canada," Transportation Research Part A: Policy and Practice, Elsevier, vol. 156(C), pages 152-170.
    31. Lu, Ming-Tsang & Hsu, Chao-Che & Liou, James J.H. & Lo, Huai-Wei, 2018. "A hybrid MCDM and sustainability-balanced scorecard model to establish sustainable performance evaluation for international airports," Journal of Air Transport Management, Elsevier, vol. 71(C), pages 9-19.
    32. Zhang, Ning & Kong, Fanbin & Choi, Yongrok, 2014. "Measuring sustainability performance for China: A sequential generalized directional distance function approach," Economic Modelling, Elsevier, vol. 41(C), pages 392-397.
    33. Lawrence Dacuycuy, 2006. "Explaining male wage inequality in the Philippines: non-parametric and semiparametric approaches," Applied Economics, Taylor & Francis Journals, vol. 38(21), pages 2497-2511.
    34. Nassereddine, M. & Eskandari, H., 2017. "An integrated MCDM approach to evaluate public transportation systems in Tehran," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 427-439.
    35. Minzhe Du & Jorge Antunes & Peter Wanke & Zhongfei Chen, 2022. "Ecological efficiency assessment under the construction of low-carbon city: a perspective of green technology innovation," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 65(9), pages 1727-1752, July.
    36. Duggal, Vijaya G. & Saltzman, Cynthia & Klein, Lawrence R., 2007. "Infrastructure and productivity: An extension to private infrastructure and it productivity," Journal of Econometrics, Elsevier, vol. 140(2), pages 485-502, October.
    37. Song, Yongze & Thatcher, Dominique & Li, Qindong & McHugh, Tom & Wu, Peng, 2021. "Developing sustainable road infrastructure performance indicators using a model-driven fuzzy spatial multi-criteria decision making method," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
    38. MacGillivray, Andrew & Jeffrey, Henry & Winskel, Mark & Bryden, Ian, 2014. "Innovation and cost reduction for marine renewable energy: A learning investment sensitivity analysis," Technological Forecasting and Social Change, Elsevier, vol. 87(C), pages 108-124.
    39. Santos, Georgina & Behrendt, Hannah & Teytelboym, Alexander, 2010. "Part II: Policy instruments for sustainable road transport," Research in Transportation Economics, Elsevier, vol. 28(1), pages 46-91.
    40. S. A. Sadabadi & A. Hadi-Vencheh & A. Jamshidi & M. Jalali, 2022. "An Improved Fuzzy TOPSIS Method with a New Ranking Index," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 21(02), pages 615-641, March.
    41. V V Podinovski, 2004. "Bridging the gap between the constant and variable returns-to-scale models: selective proportionality in data envelopment analysis," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(3), pages 265-276, March.
    42. Wang, Hailin & Ou, Xunmin & Zhang, Xiliang, 2017. "Mode, technology, energy consumption, and resulting CO2 emissions in China's transport sector up to 2050," Energy Policy, Elsevier, vol. 109(C), pages 719-733.
    43. Chithambaranathan, P. & Subramanian, Nachiappan & Gunasekaran, Angappa & Palaniappan, PL.K., 2015. "Service supply chain environmental performance evaluation using grey based hybrid MCDM approach," International Journal of Production Economics, Elsevier, vol. 166(C), pages 163-176.
    44. Jorge Antunes & Abdollah Hadi-Vencheh & Ali Jamshidi & Yong Tan & Peter Wanke, 2022. "Bank efficiency estimation in China: DEA-RENNA approach," Annals of Operations Research, Springer, vol. 315(2), pages 1373-1398, August.
    45. Yanrui Wu, 2010. "Regional Environmental Performance and Its Determinants in China," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 18(3), pages 73-89, May.
    46. Deakin, Elizabeth, 2001. "Sustainable Development & Sustainable Transportation: Strategies for Economic Prosperity, Environmental Quality, and Equity," University of California Transportation Center, Working Papers qt8mf1z8mh, University of California Transportation Center.
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