Results 61 to 70 of about 11,096 (224)
Exact relations between Luenberger productivity indicators and Malmquist productivity indexes [PDF]
Economic Theory, 2007 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Balk, Bert +3 more
openaire +2 more sources
Journal of Economic Surveys, Volume 39, Issue 5, Page 2106-2133, December 2025.ABSTRACT This paper provides a comprehensive review of slacks‐based measure (SBM) models within the nonparametric data envelopment analysis (DEA) framework. The review reveals that the development and modifications of SBM models have progressed in multiple directions.
Ali Emrouznejad +2 more
wiley +1 more source
Malmquist Productivity Index with Grey Data
International Journal of Business and Management, 2015 Malmquist Productivity Index (MPI) is widely used method to measure the productivity changes of Decision Making Units (DMUs) between two time periods. Although the conventional MPI requires accurate data, in many real life conditions the input and output data of DMUs usually involve uncertainty and only lower and upper bounds of data could be obtained.
openaire +3 more sources
A cross‐country analysis and comparison of the technical efficiency of higher education systems
International Transactions in Operational Research, Volume 32, Issue 6, Page 3965-4007, November 2025.Abstract The study of the performance of primary and secondary educational institutions has gained popularity in recent years, but cross‐country evaluations of higher education (HE) systems remain rare. This study aims to fill this gap by assessing the technical efficiency (TE) of 87 national HE systems using stochastic production frontier models.
Julio del Corral +3 more
wiley +1 more source
A DEA-based Malmquist Productivity Index for Analysing University Performance and Competitiveness
Zeszyty Naukowe Uniwersytetu Ekonomicznego w KrakowieObjective: To conduct a comparative analysis of university performance and competitiveness for leading Polish and Ukrainian universities using the constant returns to scale (CRS) results-oriented model and DEA-based Malmquist productivity index ...
Olena Brintseva
doaj +1 more source
Sustainable Development, Volume 33, Issue 5, Page 7807-7825, October 2025.ABSTRACT In the midst of the global push for environmental protection and sustainable development, supply chain digitalization (SCD) has become a key enabler of both operational efficiency and green production. The existent literature, however, has mainly focused on SCD's impact on operational efficiency, neglecting its role in advancing environmental ...
Ruixiang Xue +2 more
wiley +1 more source
Aggregation Issues in the Estimation of Linear Programming Productivity Measures [PDF]
This paper demonstrates the sensitivity of the linear programming approach in the estimation of productivity measures in the primal framework using Malmquist productivity index and Malmquist total factor productivity index models.
Atwood, Joseph A. +2 more
core +1 more source
Water Environment Research, Volume 97, Issue 10, October 2025.A variety of tools were evaluated and found to be effective in assessing the priorities and values of decision‐makers and stakeholders and incorporating them into the wastewater management decision process. Integration of priorities and values with supporting technical evaluations through MCDA results in supported and implementable solutions.
Daehyun Ko +2 more
wiley +1 more source
Aggregation of Malmquist Productivity Indexes [PDF]
In this paper we extend the work of Färe and Zelenyuk (2003) to find a theoretically justified method of aggregating Malmquist Productivity Indexes over individual decision making units (firms, countries, etc.) into a group Malmquist Productivity Index ...
Zelenyuk, Valentin
core +1 more source
Green Biased Technical Change in Terms of Industrial Water Resources in China’s Yangtze River Economic Belt [PDF]
, 2020 As a significant ecological corridor from west to east across China, the Yangtze River Economical Belt (YREB) is in great need of green development and transformation. Rather than only focusing on the overall growth of green productivity, it is important
Qu, Yi +3 more
core +2 more sources