Metafrontier analysis on productivity for West Coast of South Pacific terminals

被引:31
作者
Chang, Victor [1 ]
Tovar, Beatriz [2 ]
机构
[1] Ricardo Palma Univ, Fac Econ & Business, Santiago De Surco, Peru
[2] Univ Las Palmas Gran Canaria, Infrastruct & Transport Res Grp, Dept Appl Econ, Campus Tafira,Modulo D,Despacho 2-20, Las Palmas Gran Canaria 35017, Spain
关键词
DEA-Malmquist; Metafrontier; Technology gap ratio; Dynamic panel data method; Sector reform; Port terminals; Productivity drivers; DISTRIBUTION COMPANIES; PANEL-DATA; EFFICIENCY; PORTS; INEFFICIENCY; GROWTH;
D O I
10.1016/j.tra.2016.12.012
中图分类号
F [经济];
学科分类号
02 ;
摘要
This paper measures productivity of port terminals in Peru and Chile, and evaluates the influence of the certain specific explanatory variables that may explain their differences in productivity. In the first stage, a DEA-Malmquist model in a metafrontier framework is used to obtain the productivity scores. This approach lets us take the possible technological differences among the port terminals into account. In the second stage, an Arellano-Bond model was estimated, to explain the differences in productivity change. The empirical evidence shows that the Class 1 terminals produce output under certain less favourable technological conditions than. the Class 2 terminals. Moreover, on average, both classes present positive evolutions of the catching up effect, which shows that the terminals as a whole are moving nearer to the efficiency metafrontier. We also observe a technological regress during 2004-2014 and that the terminals have been affected by the financial crisis which started in the United States in 2008. Finally, we identified that the container/bulk rate and that private management contribute positively to the change in productivity, whereas the bulk rate and the total factor productivity change lagged contribute negatively. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:118 / 134
页数:17
相关论文
共 47 条
[1]   Including principal component weights to improve discrimination in data envelopment analysis [J].
Adler, N ;
Golany, B .
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY, 2002, 53 (09) :985-991
[2]  
Al-Eraqi AS, 2009, INT J SHIP TRANS LOG, V1, P249, DOI 10.1504/IJSTL.2009.027533
[3]  
[Anonymous], 2001, EUROPEAN J OPERATION
[4]   SOME TESTS OF SPECIFICATION FOR PANEL DATA - MONTE-CARLO EVIDENCE AND AN APPLICATION TO EMPLOYMENT EQUATIONS [J].
ARELLANO, M ;
BOND, S .
REVIEW OF ECONOMIC STUDIES, 1991, 58 (02) :277-297
[5]  
Baran Joanna, 2015, Logistics & Sustainable Transport, V6, P25, DOI 10.1515/jlst-2015-0008
[6]  
Barros C.P., 2003, International Journal of Transport Economics s, V30, P335
[7]  
Battese G, 2004, 12003 CEPA U QUEENSL
[8]  
Battese G.E., 2002, INT J BUSINESS EC, V1, P1
[9]   A metafrontier production function for estimation of technical efficiencies and technology gaps for firms operating under different technologies [J].
Battese, GE ;
Rao, DSP ;
O'Donnell, CJ .
JOURNAL OF PRODUCTIVITY ANALYSIS, 2004, 21 (01) :91-103
[10]   APPLIED DATA ENVELOPMENT ANALYSIS [J].
BOUSSOFIANE, A ;
DYSON, RG ;
THANASSOULIS, E .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 1991, 52 (01) :1-15