A sequential Malmquist-Luenberger productivity index : Environmentally sensitive productivity growth considering the progressive nature of technology

224 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Scenario-based energy efficiency and productivity in China: A non-radial directional distance function analysis (2013, methodology): “In literature, both the additive and the multiplicative forms of Malmquist–Luenberg productivity index have been adopted in assessing environmental productivity, e.g. Managi and Jena (2008), Oh (2010) and Oh and Heshmati (2010).”
Sources of production inefficiency and productivity growth in China: A global data envelopment analysis (2015, background): “As a result, estimation results from these studies lack stability and may deviate from the actual production activity (Oh, 2010; Oh and Heshmati, 2010).”
A framework for measuring global Malmquist–Luenberger productivity index with CO2 emissions on Chinese manufacturing industries (2016, background): “[38] proposed a sequential ML index for measuring environmentally sensitive productivity growth which appropriately considers the nature of technical change.”