Sarkis (2000SARKIS, J. An analysis of the operational efficiency of major airports in the United States. Journal of Operations Management, n. 18, p. 335-351, 2000.) |
Evaluation of the operational efficiency of 44 airports |
220 |
DEA |
USA |
OPEX, employment, gates, departures |
Operating revenues, movement of aircraft, general aviation, passengers, freight |
- |
Ma, Evans, Fuller et al. (2002MA, J. et al. Technical efficiency and productivity change of China’s iron and steel industry. International Journal of Production Economics, n. 76, p. 293-312, 2002.) |
Operational efficiency of the steel sector |
711 |
MPI |
China |
Employment, fixed capital, energy, age, working capital |
Production |
- |
Estache, De La Fé and Trujillo (2004ESTACHE, A.; DE LA FÉ, B.; TRUJILLO, L. Sources of efficiency gains in port reform: a DEA decomposition of Malmquist TFP index for Mexico. Utilities Policy, n. 12, p. 221-230, 2004.) |
Breaking down of the sources of efficiency gains in the port sector |
44 |
MPI |
Mexico |
Dock area, employment |
Volume of merchandise traded |
- |
Kim, Lee, Kim et al. (2006)FARAWAY, J. Extending the linear model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models. Taylor and Francis, 2006.
|
Sources of productive efficiency |
22 |
SFA |
Several countries |
Employment, productive capacity, raw material |
Production of crude steel |
Ownership (private or public), plant age, scale |
Rezvanian, Rao and Mehdian (2008REZVANIAN, R.; RAO, N.; MEHDIAN, S. Efficiency change, technological progress and productivity growth of private, public and foreign banks in India: evidence from the pos-liberalization era. Applied Financial Economics, n. 18, p. 701-713, 2008.) |
Evaluation of the effect of the ownership on the efficiency of the banking sector |
540 |
MPI |
India |
Funds borrowed, employment, fixed assets |
Loans, securities, other revenues |
- |
Feng He et al. (2013HE, F. et al. Energy efficiency and productivity change of China’s iron and steel industry: accounting for undesirable outputs. Energy Policy, n. 54, p. 204-213, 2013.) |
Energy efficiency and productivity variation in the steel sector |
400 |
MPI and MPLI |
China |
Net fixed assets, employment, energy |
Added value, gaseous waste, liquid waste, solid waste |
- |
Lee and Kim (2013LEE, J. K.; KIM, D. Bank performance and its determinance in Korea. Japan and the World Economy, n. 27, p. 83-94, 2013.) |
Determinants of bank performance. Comparison between ROE and ROA. |
136 |
MPI Panel data analysis - fixed effects |
South Korea Extended to China and Japan |
Interest expenses, costs of fees, operating expenses, provision for losses |
Interest income, revenue from fees |
Assets, assets^2, risk, GDP growth, and dummy (public, foreign, merger) |
Barros and Wanke (2014BARROS, C.; WANKE, P. Banking efficiency in Brazil. Journal of International Financial Markets, Institutions & Money, n. 28, p. 54-65, 2014.) |
Analysis of banking efficiency |
- |
Dynamic Bayesian Frontier |
Brazil |
- |
- |
Price of labor, cost of capital, price of deposits, total loans, total securities, dummy variables (public, foreign, merger, large, deregulation, stressed banks) |
Barros, Dumbo and Wanke (2014BARROS, C.; WANKE, P. Banking efficiency in Brazil. Journal of International Financial Markets, Institutions & Money, n. 28, p. 54-65, 2014.) |
Efficiency analysis of insurance companies |
70 |
Main component analysis, Bootstrapping DEA, and neural networks |
Angola |
OPEX, employment, salaries, capital |
Insurance paid, profits paid, premiums paid, reinsurance ceded |
- |
Debnath and Sebastian (2014DEBNATH, R. M.; SEBASTIAN, V. J. Efficiency in the Indian iron and steel industry: an application of data envelopment analysis. Journal of Advances in Management Research, v. 11, n. 1, p. 4-19, 2014.) |
Efficiency in the steel sector |
22 |
BCC Model |
India |
Employment, fixed assets, current assets, and energy |
Income, profits before and after taxes, sales |
- |
Bahrini (2015BAHRINI, R. Productivity of MENA Islamic banks: a bootstrapped Malmquist index approach. International Journal of Islamic and Middle Eastern Finance and Management, v. 8, n. 4, p. 508-528, 2015.) |
Analysis of the Total Factor Productivity (TFP) in the Islamic banking sector |
198 |
Bootstrapped MPI |
MENA (Middle East & North Africa) |
Employment, fixed assets, deposits |
Total loans, portfolio investment, non-operating revenues |
Banking, macroeconomics, temporal dummies, and dummy for the global financial crisis |
Li and Lin (2015LI, K.; LIN, B. Measuring green productivity growth of Chinese industrial sectors during 1998-2011. China Economic Review, n. 36, p. 279-295, 2015.) |
Method for measuring growth of green productivity |
504 |
MLPI |
China |
Capital stock, use, energy |
Gross industrial product, CO2 emissions |
- |
Azad, Musimamy, Masum et al. (2016AZAD, A. K. et al. Bank efficiency in Malaysia: a use of malmquist meta-frontier analysis. Eurasian Business Review, v. 7, n. 2, p. 287-311, 2016.) |
Banking efficiency |
215 |
Two-stage DEA. Simar model of dual regression bootstrap |
Malaysia |
Expenses with interest rates, salaries, OPEX, capital, deposits |
Earnings from interest, net income, deposits, loans |
Banking, macroeconomics, ownership, and the bank’s nature |
Da Silva, Martins-Filho and Ribeiro (2016) |
Banking efficiency |
1840 |
DEA, DEAC, FDH, FDHC, conditional quartile models of order m and α |
Brazil |
Employment, fixed capital, other capital assets, resources from third parties |
Net credit lines, financial investments, other credit lines |
Dummies (property - public, private, foreign; size - large, medium, small, micro) |
Marchetti and Wanke (2017MARCHETTI, D.; WANKE, P. Brazil’s rail freight transport: efficiency analysis using two-stage DEA and cluster-driven public policies. Socio-Economic Planning Sciences, n. 59, p. 26-42, 2017.) |
Efficiency of the railway sector |
60 |
DEA. Bootstrap truncated regression. |
Brazil |
Cars, employment |
Volume transported (TKU) |
Dummies (mineral commodities, agricultural commodities, connection, type of regulation) |
Nielsen (2017NIELSEN, H. Productive efficiency in the iron and steel sector under State planning: the case of China and former Czechoslovakia in a comparative perspective. Applied Energy, n. 85, p. 1732-1743, 2017.) |
Efficiency of the steel sector |
21 |
DEA CRS and VRS |
Market and planned economies |
Energy and raw materials (coal, iron, and scrap) |
Production of crude steel and pig iron |
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