2006
DOI: 10.1016/j.ecolecon.2005.02.004
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Environmentally sensitive productivity growth: A global analysis using Malmquist–Luenberger index

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Cited by 408 publications
(169 citation statements)
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References 15 publications
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“…This means that China's air pollution regulations regime may be ineffective. The conclusion is consistent with the views of Kumar et al [5] and Zhang et al [6]. The reasons for this situation may be high-pollution industries have shown little initiative in establishing cleaner production processes.…”
Section: Dynamic ML Index and Malmquist Index (M Index) And Their Decsupporting
confidence: 82%
See 1 more Smart Citation
“…This means that China's air pollution regulations regime may be ineffective. The conclusion is consistent with the views of Kumar et al [5] and Zhang et al [6]. The reasons for this situation may be high-pollution industries have shown little initiative in establishing cleaner production processes.…”
Section: Dynamic ML Index and Malmquist Index (M Index) And Their Decsupporting
confidence: 82%
“…In traditional economic growth theory, productivity has acted as a significant engine of economic growth and improved the people's living standards [5]. However, during production processes, desirable or good outputs are frequently obtained alongside harmful by-products (what we call constructed from directional distance functions rather than Shepherd distance functions.…”
Section: Introductionmentioning
confidence: 99%
“…The Shepard's input distance function could also be appropriate because a proportional change in inputs with good and bad outputs held constant is an unambiguous indicator of welfare change (Hailu and Veeman, 2001;Murty et al 2006). There are some recent studies using the directional distance function, a generalization of Shepard's output distance function, for estimating the technical and environmental efficiency of polluting firms (Fare and Grosskopf, 2004;Fare et al 2005;Kumar, 2006). The polluting firm's technical efficiency in increasing good output and reducing bad output, namely pollution, could be measured using the directional distance function because it allows one to consider the proportional changes in outputs and allows one output to be expanded while another output is contracted.…”
Section: Introductionmentioning
confidence: 99%
“…The researchers [1,20,21] employed the MalmquistLuenberger productivity index to measure the total factor productivity change with undesirable output. The directional distance function enables both an expansion of desirable output and shrinkage of undesirable output, defined as follows [22]:…”
Section: Null-joint Outputmentioning
confidence: 99%