Browsing by Author "Li, Lan-Bing"
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Item type:Item, Disaggregate productivity growth sources of regional industries in China(1970-01-01) ;Li, Lan-Bing ;Zhang, Cong-Cong ;Hu, Jin-Li ;Chiu, Ching-Ren經營管理研究所This paper extends a global slack-based productivity indicator and constructs a unified framework that consists of global and factor levels of total factor productivity (TFP) to evaluate the performance of regional industries, thus enabling global productivity improvement based on factor-level sources. Evaluating regional industrial performance in China during 1995-2014, the findings reveal that rapid growth of industry in China is not only driven by a huge amount of input, but also by TFP improvement, with industrial productivity driven mainly by technology progress and presenting a gradually increasing trend. Regional productivity performances are imbalanced, in which the east ranks first due to its dual advantages of input and output factors. For source identification, input and output jointly contribute to industrial productivity improvement, but output has a much higher contribution ratio to industrial productivity improvement than input, because it is mainly rooted in desirable output. Finally, on the input side, labor is the primary factor driving input productivity improvement followed by energy, while capital productivity shows very slight growth.Item type:Item, Ecological total-factor energy efficiency of regions in China(2012-07-01) ;Li, Lan-Bing ;Hu, Jin-Li ;經營管理研究所Institute of Business and ManagementMost existing energy efficiency indices are computed without taking into account undesirable outputs such as CO2 and SO2 emissions. This paper computes the ecological total-factor energy efficiency (ETFEE) of 30 regions in China for the period 2005-2009 through the slack-based model (SBM) with undesirable outputs. We calculate the ETFEE index by comparing the target energy input obtained from SBM with undesirable outputs to the actual energy input. Findings show that China's regional ETFEE still remains a low level of around 0.600 and regional energy efficiency is overestimated by more than 0.100 when not looking at environmental impacts. China's regional energy efficiency is extremely unbalanced: the east area ranks first with the highest ETFEE of above 0.700, the northeast and central areas follow, and the west area has the lowest ETFEE of less than 0.500. A monotone increasing relation exists between the area's ETFEE and China's per capita GDP. The truncated regression model shows that the ratio of R&D expenditure to GDP and the degree of foreign dependence have positive impacts, whereas the ratio of the secondary industry to GDP and the ratio of government subsidies for industrial pollution treatment to GDP have negative effects, on the ETFEE. (C) 2012 Elsevier Ltd. All rights reserved.Item type:Item, Industrial energy-pollution performance of regions in China based on a unified framework combining static and dynamic indexes(2016-09-10) ;Li, Lan-Bing ;Hu, Jin-Li ;Xia, Nian-Cheng ;經營管理研究所Institute of Business and ManagementEnergy and environmental concerns have attracted more and more worldwide attention. As industrialization leads to serious environmental effects on sustainable development, China urgently needs to improve its energy-pollution performance without harming industrial growth. This paper proposes two indexes, the energy-pollution efficiency index and the energy-pollution productivity change index, in a unified framework that not only enables a more comprehensive analysis by simultaneously allowing for both static and dynamic performance evaluations, but also sets a sounder best target environmental effect by jointly considering energy conservation and pollution reduction. This research evaluates the industrial energy-pollution performance of regions in China during the period 1995-2014. Findings reveal that its energy-pollution efficiency was unbalanced and hovered at a low level, showing an urgent need for improvement; however, energy-pollution productivity did gradual increase and technology progress was its main contributor. Energy efficiency was higher than pollution efficiency, and their gap increased instead of narrowing. The east area\'s energy-pollution efficiency ranked first, while its regional discrepancy presented an increasing trend. Energy-pollution productivity improvement was mainly driven by technology progress, while efficiency change exhibited a negative effect. Finally, energy utilization contributed less to energy-pollution productivity improvement than pollution emissions. (C) 2016 Elsevier Ltd. All rights reserved.