Factor use and Productivity Change in a Rights-Based Fishery

2007 ◽  
pp. 257-269 ◽  
Author(s):  
B. M. H. Sharp ◽  
C. Batstone
Keyword(s):  
2018 ◽  
Vol 45 (3) ◽  
pp. 482-501
Author(s):  
Duk Huh ◽  
Jeong Sup Choi ◽  
Hyun Joong Kim ◽  
Se Mi Jeong ◽  
Jin Nyoun Kim

2021 ◽  
Vol 70 ◽  
pp. 101190
Author(s):  
Manuel Mocholi-Arce ◽  
Ramon Sala-Garrido ◽  
Maria Molinos-Senante ◽  
Alexandros Maziotis

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Xishuang Han ◽  
Xiaolong Xue ◽  
Jiaoju Ge ◽  
Hengqin Wu ◽  
Chang Su

Data envelopment analysis can be applied to measure the productivity of multiple input and output decision-making units. In addition, the data envelopment analysis-based Malmquist productivity index can be used as a tool for measuring the productivity change during different time periods. In this paper, we use an input-oriented model to measure the energy consumption productivity change from 1999 to 2008 of fourteen industry sectors in China as decision-making units. The results show that there are only four sectors that experienced effective energy consumption throughout the whole reference period. It also shows that these sectors always lie on the efficiency frontier of energy consumption as benchmarks. The other ten sectors experienced inefficiency in some two-year time periods and the productivity changes were not steady. The data envelopment analysis-based Malmquist productivity index provides a good way to measure the energy consumption and can give China's policy makers the information to promote their strategy of sustainable development.


2012 ◽  
Vol 2012 ◽  
pp. 1-10 ◽  
Author(s):  
Feng Tao ◽  
Ling Li ◽  
X. H. Xia

The growth of China's industry has been seriously depending on energy and environment. This paper attempts to apply the directional distance function and the Luenberger productivity index to measure the environmental efficiency, environmental total factor productivity, and its components at the level of subindustry in China over the period from 1999 to 2009 while considering energy consumption and emission of pollutants. This paper also empirically examines the determinants of efficiency and productivity change. The major findings are as follows. Firstly, the main sources of environmental inefficiency of China's industry are the inefficiency of gross industrial output value, the excessive energy consumption, and pollutant emissions. Secondly, the highest growth rate of environmental total factor productivity among the three industrial categories is manufacturing, followed by mining, and production and supply of electricity, gas, and water. Thirdly, foreign direct investment, capital-labor ratio, ownership structure, energy consumption structure, and environmental regulation have varying degrees of effects on the environmental efficiency and environmental total factor productivity.


Omega ◽  
2015 ◽  
Vol 57 ◽  
pp. 176-187 ◽  
Author(s):  
Jia-Ching Juo ◽  
Tsu-Tan Fu ◽  
Ming-Miin Yu ◽  
Yu-Hui Lin
Keyword(s):  

2016 ◽  
Vol 24 (12) ◽  
pp. 878-881 ◽  
Author(s):  
Juan Aparicio ◽  
Jose M. Cordero ◽  
Jesus T. Pastor
Keyword(s):  

2006 ◽  
Vol 97 bis (5) ◽  
pp. 373 ◽  
Author(s):  
John Stanley Metcalfe ◽  
Ronnie Ramlogan

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