IDEAS home Printed from https://ideas.repec.org/a/eee/soceps/v87y2023ipas0038012123000447.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0038012123000447
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.seps.2023.101544?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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).
    4. B. Hollingsworth & P. Smith, 2003. "Use of ratios in data envelopment analysis," Applied Economics Letters, Taylor & Francis Journals, vol. 10(11), pages 733-735.
    5. 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.
    6. 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.
    7. 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.
    8. 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).
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    22. 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.
    23. 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.
    24. 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.
    25. 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.
    26. 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.
    27. 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.
    28. 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.
    29. 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.
    30. 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).
    31. 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.
    32. 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.
    33. 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.
    34. 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.
    35. 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.
    36. 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.
    37. 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.
    38. 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.
    39. 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.
    40. 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.
    41. 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.
    42. 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.
    43. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wanke, Peter & Chen, Zhongfei & Dong, Qichen & Antunes, Jorge, 2021. "Transportation Sustainability, Macroeconomics, and Endogeneity in China: A Hybrid Neural-Markowitz-Variable Reduction Approach," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    2. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
    3. Yanni Yu & Yongrok Choi, 2015. "Measuring Environmental Performance Under Regional Heterogeneity in China: A Metafrontier Efficiency Analysis," Computational Economics, Springer;Society for Computational Economics, vol. 46(3), pages 375-388, October.
    4. 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.
    5. Zhou, Haibo & Yang, Yi & Chen, Yao & Zhu, Joe, 2018. "Data envelopment analysis application in sustainability: The origins, development and future directions," European Journal of Operational Research, Elsevier, vol. 264(1), pages 1-16.
    6. Yongrok Choi & Fan Yang & Hyoungsuk Lee, 2020. "On the Unbalanced Atmospheric Environmental Performance of Major Cities in China," Sustainability, MDPI, vol. 12(13), pages 1-14, July.
    7. Yong Zha & Liang Liang, 2015. "Aggregated Ratio Analysis in DEA," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 14(06), pages 1285-1297, November.
    8. Jorge Antunes & Rangan Gupta & Zinnia Mukherjee & Peter Wanke, 2022. "Information entropy, continuous improvement, and US energy performance: a novel stochastic-entropic analysis for ideal solutions (SEA-IS)," Annals of Operations Research, Springer, vol. 313(1), pages 289-318, June.
    9. Meike Weltin & Silke Hüttel, 2023. "Sustainable Intensification Farming as an Enabler for Farm Eco-Efficiency?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 84(1), pages 315-342, January.
    10. Van Puyenbroeck, Tom & Rogge, Nicky, 2017. "Geometric mean quantity index numbers with Benefit-of-the-Doubt weights," European Journal of Operational Research, Elsevier, vol. 256(3), pages 1004-1014.
    11. Ning Zhang & Fanbin Kong & Chih-Chun Kung, 2015. "On Modeling Environmental Production Characteristics: A Slacks-Based Measure for China’s Poyang Lake Ecological Economics Zone," Computational Economics, Springer;Society for Computational Economics, vol. 46(3), pages 389-404, October.
    12. Trinks, Arjan & Mulder, Machiel & Scholtens, Bert, 2020. "An Efficiency Perspective on Carbon Emissions and Financial Performance," Ecological Economics, Elsevier, vol. 175(C).
    13. Emrouznejad, Ali & Yang, Guo-liang, 2016. "A framework for measuring global Malmquist–Luenberger productivity index with CO2 emissions on Chinese manufacturing industries," Energy, Elsevier, vol. 115(P1), pages 840-856.
    14. Xiangxiang Sun & Lawrence Loh, 2019. "Sustainability Governance in China: An Analysis of Regional Ecological Efficiency," Sustainability, MDPI, vol. 11(7), pages 1-16, April.
    15. Lucio Cecchini & Francesco Romagnoli & Massimo Chiorri & Biancamaria Torquati, 2023. "Eco-Efficiency and Its Determinants: The Case of the Italian Beef Cattle Sector," Agriculture, MDPI, vol. 13(5), pages 1-18, May.
    16. Boccali, Filippo & Mariani, Marcello M. & Visani, Franco & Mora-Cruz, Alexandra, 2022. "Innovative value-based price assessment in data-rich environments: Leveraging online review analytics through Data Envelopment Analysis to empower managers and entrepreneurs," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    17. Lee, Sang-choon & Oh, Dong-hyun & Lee, Jeong-dong, 2014. "A new approach to measuring shadow price: Reconciling engineering and economic perspectives," Energy Economics, Elsevier, vol. 46(C), pages 66-77.
    18. Chen, Lifeng & Wang, Kaifeng, 2022. "The spatial spillover effect of low-carbon city pilot scheme on green efficiency in China's cities: Evidence from a quasi-natural experiment," Energy Economics, Elsevier, vol. 110(C).
    19. Tang, Bao-Jun & Li, Xiao-Yi & Yu, Biying & Wei, Yi-Ming, 2019. "Sustainable development pathway for intercity passenger transport: A case study of China," Applied Energy, Elsevier, vol. 254(C).
    20. Magazzino, Cosimo & Alola, Andrew Adewale & Schneider, Nicolas, 2021. "The trilemma of innovation, logistics performance, and environmental quality in 25 topmost logistics countries: a quantile regression evidence," LSE Research Online Documents on Economics 117654, London School of Economics and Political Science, LSE Library.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:soceps:v:87:y:2023:i:pa:s0038012123000447. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/seps .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.