IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/47196.html
   My bibliography  Save this paper

An Exploratory Evaluation of State Road Provision to Commuters and Shippers using Data Envelopment Analysis and Tobit Regression

Author

Listed:
  • Min, Hokey
  • Lambert, Thomas

Abstract

Due to mounting fiscal pressures over the last few years, the federal government as well as many state and municipal governments in the United States (U.S.) have had to re-examine their transportation policies and programs. Tax increases and/or spending cuts which aim to trim budget deficits are major preoccupations of most policy makers and legislative bodies nowadays. With regard to the task of building new or rehabilitating bridges, highways, and toll gates, cost-benefit analysis and economic impact studies are often undertaken by various government entities to rank and prioritize spending in the hopes of maximizing fiscal efficiency and road usage benefits. Since most highway construction and maintenance expenditures are absorbed by state governments, it is mostly up to state policy makers to decide transportation priorities. However, no research to date has been conducted to evaluate the comparative efficiency of state road provision to commuters and shippers. Such research would be useful to a state government’s budgetary allocation and spending plans. This paper is one of the first to assess and rank the comparative efficiency of all 50 states in the U.S. by using data envelopment analysis and then to explain variations in efficiency ratings by using Tobit regression analysis.

Suggested Citation

  • Min, Hokey & Lambert, Thomas, 2013. "An Exploratory Evaluation of State Road Provision to Commuters and Shippers using Data Envelopment Analysis and Tobit Regression," MPRA Paper 47196, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:47196
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/47196/1/MPRA_paper_47196.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wade D. Cook & Joe Zhu, 2005. "Modeling Performance Measurement," Springer Books, Springer, number 978-0-387-24138-8, January.
    2. Knox Lovell, C. A. & Pastor, Jesus T. & Turner, Judi A., 1995. "Measuring macroeconomic performance in the OECD: A comparison of European and non-European countries," European Journal of Operational Research, Elsevier, vol. 87(3), pages 507-518, December.
    3. J. F. Nolan & P. C. Ritchie & J. R. Rowcroft, 2001. "Measuring efficiency in the public sector using nonparametric frontier estimators: a study of transit agencies in the USA," Applied Economics, Taylor & Francis Journals, vol. 33(7), pages 913-922.
    4. António Afonso & Ludger Schuknecht & Vito Tanzi, 2010. "Income distribution determinants and public spending efficiency," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 8(3), pages 367-389, September.
    5. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    6. Isabel M. García‐Sánchez, 2006. "Efficiency Measurement in Spanish Local Government: The Case of Municipal Water Services," Review of Policy Research, Policy Studies Organization, vol. 23(2), pages 355-372, March.
    7. Joaquin Maudos & Jose Manuel Pastor & Lorenzo Serrano, 2000. "Convergence in OECD countries: technical change, efficiency and productivity," Applied Economics, Taylor & Francis Journals, vol. 32(6), pages 757-765.
    8. G D Ferrier & V G Valdmanis, 2004. "Do mergers improve hospital productivity?," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(10), pages 1071-1080, October.
    9. Lambert, Thomas & Meyer, Peter, 2008. "New and fringe residential development and emergency medical services response times in the United States," MPRA Paper 38891, University Library of Munich, Germany.
    10. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    11. Hokey Min & Hyesung Min & Seong Jong Joo & Joungman Kim, 2008. "A Data Envelopment Analysis for establishing the financial benchmark of Korean hotels," International Journal of Services and Operations Management, Inderscience Enterprises Ltd, vol. 4(2), pages 201-217.
    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. Lambert, Thomas & Srinivasan, Arun & Dufrene, Uric & Min, Hokey, 2010. "Urban Location and the Success of Casinos in Five States: A Data Envelopment Analysis Approach," MPRA Paper 69740, University Library of Munich, Germany.
    2. Thomas E. Lambert & Arun Kumar Srinivasan & Uric B. Dufrene & Hokey Min, 2010. "Urban Location And The Success Of Casinos In Five States," International Journal of Management and Marketing Research, The Institute for Business and Finance Research, vol. 3(3), pages 1-16.
    3. Patricija Bajec & Danijela Tuljak-Suban, 2019. "An Integrated Analytic Hierarchy Process—Slack Based Measure-Data Envelopment Analysis Model for Evaluating the Efficiency of Logistics Service Providers Considering Undesirable Performance Criteria," Sustainability, MDPI, vol. 11(8), pages 1-18, April.
    4. Bettina Campedelli & Andrea Guerrina & Giulia Romano & Chiara Leardini, 2014. "La performance della rete ospedaliera pubblica della regione Veneto. L?impatto delle variabili ambientali e operative sull?efficienza," MECOSAN, FrancoAngeli Editore, vol. 2014(92), pages 119-142.
    5. Ying Li & Yung-Ho Chiu & Tai-Yu Lin & Tzu-Han Chang, 2020. "Pre-Evaluating the Technical Efficiency Gains from Potential Mergers and Acquisitions in the IC Design Industry," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 19(02), pages 525-559, April.
    6. Tumaniants, Karen A. (Туманянц, Карэн) & Sesina, Julia E. (Сесина, Юлия), 2017. "Social Expenditures of Russian Regions in Terms of “Input-Output” [Расходы На Социальную Политику Российских Регионов В Координатах «Затраты — Результат»]," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 5, pages 128-149, October.
    7. Hokey Min & Hyesung Min & Seong Jong Joo, 2007. "A data envelopment analysis on assessing the competitiveness of Korean hotels," The Service Industries Journal, Taylor & Francis Journals, vol. 29(3), pages 367-385, November.
    8. Widiarto, Indra & Emrouznejad, Ali, 2015. "Social and financial efficiency of Islamic microfinance institutions: A Data Envelopment Analysis application," Socio-Economic Planning Sciences, Elsevier, vol. 50(C), pages 1-17.
    9. Jradi, Samah & Bouzdine Chameeva, Tatiana & Aparicio, Juan, 2019. "The measurement of revenue inefficiency over time: An additive perspective," Omega, Elsevier, vol. 83(C), pages 167-180.
    10. Harald Dyckhoff & Sylvia Rassenhövel & Kirsten Sandfort, 2009. "Empirische Produktionsfunktion betriebswirtschaftlicher Forschung: Eine Analyse der Daten des Centrums für Hochschulentwicklung," Schmalenbach Journal of Business Research, Springer, vol. 61(1), pages 22-56, February.
    11. W. Liu & W. Meng & X. Li & D. Zhang, 2010. "DEA models with undesirable inputs and outputs," Annals of Operations Research, Springer, vol. 173(1), pages 177-194, January.
    12. E. Grifell-Tatjé & C. Lovell & J. Pastor, 1998. "A Quasi-Malmquist Productivity Index," Journal of Productivity Analysis, Springer, vol. 10(1), pages 7-20, July.
    13. José Fernández-Serrano & Vanessa Berbegal & Francisco Velasco & Alfonso Expósito, 2018. "Efficient entrepreneurial culture: a cross-country analysis of developed countries," International Entrepreneurship and Management Journal, Springer, vol. 14(1), pages 105-127, March.
    14. Luo Muchen & Rosita Hamdan & Rossazana Ab-Rahim, 2022. "Data-Driven Evaluation and Optimization of Agricultural Environmental Efficiency with Carbon Emission Constraints," Sustainability, MDPI, vol. 14(19), pages 1-22, September.
    15. Cosmin Eugen ENACHE, 2012. "The efficiency of expenditure-related redistributive policies in the European countries," Timisoara Journal of Economics, West University of Timisoara, Romania, Faculty of Economics and Business Administration, vol. 5(18), pages 380-394.
    16. Vincenzo Patrizii & Anna Pettini & Giuliano Resce, 2017. "The Cost of Well-Being," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 133(3), pages 985-1010, September.
    17. Asmild, Mette & Pastor, Jesús T., 2010. "Slack free MEA and RDM with comprehensive efficiency measures," Omega, Elsevier, vol. 38(6), pages 475-483, December.
    18. Cordero Ferrera, Jose Manuel & Alonso Morán, Edurne & Nuño Solís, Roberto & Orueta, Juan F. & Souto Arce, Regina, 2013. "Efficiency assessment of primary care providers: A conditional nonparametric approach," MPRA Paper 51926, University Library of Munich, Germany.
    19. Anup Kumar Yadava & Yadawananda Neog, 2022. "Public Sector Performance and Efficiency Assessment of Indian States," Global Business Review, International Management Institute, vol. 23(2), pages 493-511, April.
    20. Jakub Growiec, 2013. "On the measurement of technological progress across countries," Bank i Kredyt, Narodowy Bank Polski, vol. 44(5), pages 467-504.

    More about this item

    Keywords

    Keywords: data envelopment analysis; Tobit regression; road provisions; toll pricing; mass transit;
    All these keywords.

    JEL classification:

    • R4 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics
    • R52 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Land Use and Other Regulations

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:pra:mprapa:47196. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    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.