Public-private partnerships and scale efficiency in Brazilian ports: Evidence from two-stage DEA analysis ☆

This paper assesses the impacts of public-private partnerships on major Brazilian public ports. It is proposed that these kinds of arrangements with private terminal operators could help achieving higher levels of scale efficiency by enhancing coordination processes, providing more adequate information technologies, and higher connectivity with other transportation modes. Methodology relies on factor extraction of inputs/outputs as a first step to compute DEA efficiency estimates, followed by truncated bootstrapped regression analysis to test different contextual variables. Results indicate a strong positive impact of public-private partnerships on port scale efficiency, corroborating their impacts in relation to the most productive scale size.

[1]  Leonardo Ramos Rios,et al.  Analysing the Relative Efficiency of Container Terminals of Mercosur using DEA , 2006 .

[2]  Francesco Parola,et al.  Shaping port governance: the territorial trajectories of reform , 2011 .

[3]  William W. Cooper,et al.  Sensitivity and Stability Analysis in DEA: Some Recent Developments , 2001 .

[4]  Dong-Wook Song,et al.  Evaluating impacts of institutional reforms on port efficiency changes: Ownership, corporate structure, and total factor productivity changes of world container ports , 2010 .

[5]  Peter E.D. Love,et al.  Impact of the Capital Market Collapse on Public-Private Partnership Infrastructure Projects , 2011 .

[6]  P. Bogetoft,et al.  Benchmarking with DEA, SFA, and R , 2011 .

[7]  James Odeck,et al.  Evaluating efficiency in the Norwegian bus industry using data envelopment analysis , 2001 .

[8]  Q. Shen,et al.  A review of studies on Public–Private Partnership projects in the construction industry , 2010 .

[9]  Joe Zhu,et al.  Quantitative Models for Performance Evaluation and Benchmarking: Data Envelopment Analysis with Spreadsheets and DEA Excel Solver , 2002 .

[10]  Rui Cunha Marques,et al.  Revisiting the determinants of local government performance , 2014 .

[11]  John McDonald,et al.  Using least squares and tobit in second stage DEA efficiency analyses , 2009, Eur. J. Oper. Res..

[12]  R. Banker Maximum likelihood, consistency and data envelopment analysis: a statistical foundation , 1993 .

[13]  Alpana Kateja Building Infrastructure: Private Participation in Emerging Economies , 2012 .

[14]  Rita Markovits-Somogyi Data envelopment analysis and its key variants utilized in the transport sector , 2011 .

[15]  Carlos Pestana Barros,et al.  Productivity analysis of Brazilian seaports , 2012 .

[16]  David Joshua Krepel Goldberg Regulação do setor portuário no Brasil: análise do novo modelo de concessão de portos organizados. , 2009 .

[17]  Alexander Cotte Poveda Economic development and growth in Colombia: An empirical analysis with super-efficiency DEA and panel data models , 2011 .

[18]  Lidia Angulo Meza,et al.  Container logistics in Mercosur: Choice of a transhipment port using the ordinal Copeland method, data envelopment analysis and probabilistic composition , 2011 .

[19]  S. Gangopadhyay,et al.  Reforms and Entry: Some Evidence from the Indian Manufacturing Sector , 2009 .

[20]  Peter Wanke Ship-berth link simulation: impact on total demurrage costs , 2011 .

[21]  Alireza Amirteimoori,et al.  EVALUATING THE EFFICIENCY OF DMUS WITH PCA AND AN APPLICATION IN REAL DATA SET OF IRANIAN BANKS , 2011 .

[22]  C. Paul The Public Private , 2013 .

[23]  Valentin Zelenyuk,et al.  Aggregation of scale efficiency , 2015, Eur. J. Oper. Res..

[24]  Kevin Cullinane,et al.  The technical efficiency of container ports: Comparing data envelopment analysis and stochastic frontier analysis , 2006 .

[25]  Jón R. Blöndal Market-type Mechanisms and the Provision of Public Services , 2005 .

[26]  P. Wanke Capacity shortfall and efficiency determinants in Brazilian airports: Evidence from bootstrapped DEA estimates , 2012 .

[27]  Rajiv D. Banker,et al.  Evaluating Contextual Variables Affecting Productivity Using Data Envelopment Analysis , 2008, Oper. Res..

[28]  Pablo Coto-Millán,et al.  The impact of public reforms on the productivity of Spanish ports: A parametric distance function approach , 2012 .

[29]  Mervyn K. Lewis,et al.  Are Public Private Partnerships value for money? , 2005 .

[30]  Necmi K. Avkiran,et al.  Measuring the impact of restructuring and country-specific factors on the efficiency of post-crisis East Asian banking systems: Integrating DEA with SFA , 2009 .

[31]  W. Cooper,et al.  Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA-Solver Software , 1999 .

[32]  Mauro Pisu,et al.  The Performance of Road Transport Infrastructure and its Links to Policies , 2013 .

[33]  Reet Põldaru,et al.  A PCA–DEA approach to measure the quality of life in Estonian counties , 2014 .

[34]  Anthony D. Ross,et al.  An analysis of operations efficiency in large-scale distribution systems , 2004 .

[35]  P. Wanke Determinants of scale efficiency in the Brazilian 3PL industry: a 10-year analysis , 2012 .

[36]  Erik-Hans Klijn,et al.  Partnership Arrangements: Governmental Rhetoric or Governance Scheme? , 2002 .

[37]  Claudia Curi,et al.  Managerial assessment of Italian airport efficiency: a statistical DEA approach , 2009 .

[38]  Lourdes Trujillo,et al.  Sources of efficiency gains in port reform: a DEA decomposition of a Malmquist TFP index for Mexico , 2004 .

[39]  F Salazar de la Cruz,et al.  A DEA APPROACH TO THE AIRPORT PRODUCTION FUNCTION , 1999 .

[40]  Nicole Adler,et al.  Measuring airport quality from the airlines' viewpoint: an application of data envelopment analysis , 2001 .

[41]  Peter F. Wanke,et al.  Financial distress drivers in Brazilian banks: A dynamic slacks approach , 2015, Eur. J. Oper. Res..

[42]  Wen-Min Lu,et al.  The relationship between airline performance and corporate governance amongst US Listed companies , 2011 .

[43]  S. Gangopadhyay,et al.  Reforms, Entry and Productivity: Some Evidence from the Indian Manufacturing Sector , 2006, SSRN Electronic Journal.

[44]  Patrick M. Alderton,et al.  Port Management and Operations , 1999 .

[45]  Q. Liu,et al.  Efficiency analysis of container ports and terminals , 2010 .

[46]  Kevin Cullinane,et al.  A stochastic frontier model of the productive efficiency of Korean container terminals , 2003 .

[47]  J. MacKinnon,et al.  Estimation and inference in econometrics , 1994 .

[48]  Photis M. Panayides,et al.  A Critical Analysis of DEA Applications to Seaport Economic Efficiency Measurement , 2009 .

[49]  Abraham Charnes,et al.  Measuring the efficiency of decision making units , 1978 .

[50]  J. Iparraguirre,et al.  Efficiency in the provision of social care for older people. A three-stage Data Envelopment Analysis using self-reported quality of life , 2015 .

[51]  Rui Cunha Marques,et al.  Delivering Local Infrastructure through PPPs: Evidence from the School Sector , 2012 .

[52]  B. Vasigh,et al.  SIZE VERSUS EFFICIENCY: A CASE STUDY OF US COMMERCIAL AIRPORTS , 2003 .

[53]  Y. Yoshida,et al.  JAPANESE-AIRPORT BENCHMARKING WITH THE DEA AND ENDOGENOUS-WEIGHT TFP METHODS: TESTING THE CRITICISM OF OVERINVESTMENT IN JAPANESE REGIONAL AIRPORTS , 2004 .

[54]  Chiang Kao,et al.  Decomposition of technical and scale efficiencies in two-stage production systems , 2011, Eur. J. Oper. Res..

[55]  Sebastián Lozano,et al.  Efficiency assessment of container operations of shipping agents in Spanish ports , 2015 .

[56]  Gabrielle dos Anjos Curcino Análise de adequabilidade de portos às novas teorias e práticas portuárias : um estudo de caso no porto de Belém , 2007 .

[57]  Mahrukh Doctor,et al.  Institutional Modernisation and the Legacy of Corporatism: The Case of Port Reform in Brazil , 2003, Journal of Latin American Studies.

[58]  Concepción Román,et al.  A Benchmarking Analysis of Spanish Commercial Airports. A Comparison Between SMOP and DEA Ranking Methods , 2006 .

[59]  A. Charnes,et al.  Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis , 1984 .

[60]  Sergio Jara-Díaz,et al.  Productivity in Cargo Handling in Spanish Ports During a Period of Regulatory Reforms , 2008 .

[61]  James Odeck,et al.  The technical efficiency of Norwegian container ports: A comparison to some Nordic and UK container ports using Data Envelopment Analysis (DEA) , 2013 .

[62]  Joe Zhu,et al.  Quantitative models for performance evaluation and benchmarking , 2003 .

[63]  Ming-Miin Yu,et al.  Efficiency and effectiveness in railway performance using a multi-activity network DEA model , 2008 .

[64]  Martin Dresner,et al.  NORTH AMERICAN CONTAINERPORT PRODUCTIVITY: 1984-1997 , 2004 .

[65]  Emmanuel Thanassoulis,et al.  Introduction to the Theory and Application of Data Envelopment Analysis: A Foundation Text with Integrated Software , 2001 .

[66]  Simone Gitto,et al.  Airport efficiency: a DEA two stage analysis of the Italian commercial airports , 2010 .

[67]  Paul W. Wilson,et al.  FEAR: A software package for frontier efficiency analysis with R , 2008 .

[68]  Claudia Curi,et al.  New evidence on the efficiency of Italian airports: A bootstrapped DEA analysis , 2011 .

[69]  Santiago Herrera,et al.  Efficiency of Infrastructure : The Case of Container Ports , 2008 .

[70]  P. W. Wilson,et al.  Estimation and inference in two-stage, semi-parametric models of production processes , 2007 .

[71]  Albert P.C. Chan,et al.  Research Trend of Public-Private Partnership in Construction Journals , 2009 .

[72]  Athanasios A Pallis,et al.  Concession Agreements and Market Entry in the Container Terminal Industry , 2008 .

[73]  Robert W. Scapens,et al.  The use of management control mechanisms by public organizations with a network coordination role: A case study in the port industry , 2011 .

[74]  Akihiro Nakamura,et al.  Causes of inefficiency in Japanese railways: Application of DEA for managers and policymakers , 2010 .

[75]  Jui-Sheng Chou,et al.  Critical factors and risk allocation for PPP policy: Comparison between HSR and general infrastructure projects , 2012 .

[76]  K. Tone,et al.  A multistage method to measure efficiency and its application to Japanese banking industry , 2008 .

[77]  P. W. Wilson,et al.  Two-stage DEA: caveat emptor , 2011 .

[78]  Franklin A. Graybill,et al.  Introduction to The theory , 1974 .

[79]  J. Luis Guasch,et al.  Granting and Renegotiating Infrastructure Concessions: Doing it Right , 2004 .

[80]  Peter Wanke,et al.  Physical infrastructure and shipment consolidation efficiency drivers in Brazilian ports: A two-stage network-DEA approach , 2013 .

[81]  Enzo Defilippi,et al.  Intra-Port Competition, Regulatory Challenges and the Concession of Callao Port , 2004 .

[82]  Y Roll,et al.  Port performance comparison applying data envelopment analysis (DEA) , 1993 .

[83]  Joe Zhu,et al.  Modeling data irregularities and structural complexities in data envelopment analysis , 2007 .

[84]  Sergio R. Jara-Díaz,et al.  Organisation and Regulation of the Port Industry: Europe and Spain , 2004 .

[85]  Juan Carlos Martín,et al.  An application of DEA to measure the efficiency of Spanish airports prior to privatization , 2001 .

[86]  J. Conte,et al.  A Critical Analysis , 1969 .

[87]  Peter Wanke,et al.  Determinants of Efficiency at Major Brazilian Port Terminals , 2011 .