A measure of total factor productivity with biased technological change

2017 ◽  
Vol 27 (3) ◽  
pp. 243-253 ◽  
Author(s):  
Christophe Feder
Keyword(s):  
Technological Change ◽  
Total Factor Productivity ◽  
Factor Productivity ◽  
Biased Technological Change

scholarly journals Technological Bias and Its Influencing Factors in Sustainable Development of China’s Transportation

2020 ◽  
Vol 12 (14) ◽  
pp. 5704
Author(s):  
Shuai Zhang ◽  
Xiaoman Zhao ◽  
Changwei Yuan ◽  
Xiu Wang
Keyword(s):  
Sustainable Development ◽  
Technological Change ◽  
Total Factor Productivity ◽  
Influencing Factors ◽  
Technological Progress ◽  
Transportation Industry ◽  
Factor Productivity ◽  
The Sustainable Development ◽  
Biased Technological Change ◽  
Technological Bias

The bias of technological progress, particularly relating to energy saving and carbon emissions reduction, plays a significant role in the sustainable development of transportation, and has not yet received sufficient attention. The objectives of this paper were to examine the bias of technological change (BTC), input-biased technological change (IBTC), and output-biased technological change (OBTC), and their influencing factors in the sustainable development of China’s regional transportation industry from 2005 to 2017. A slack-based measure (SBM) Malmquist productivity index was adopted to measure the BTC, IBTC, and OBTC by decomposing green total factor productivity. The results revealed that: (1) Continuous technological bias progress and input-biased technological progress existed in China’s transportation development from 2005 to 2017, making an important contribution to green total factor productivity. The output-biased technological change was close to 1, indicating a slight impact on the sustainable development of the transportation industry; (2) The bias of technological progress in eastern regions was slightly greater than that in central regions, and obviously greater than that in western regions. Moreover, different provinces experienced different types of technological bias change, with four major types observed during the research period; (3) The input-biased technology of a majority of provinces tended to invest more capital relative to labor, using more capital comparing to energy, and consume more energy relative to labor, while the output-biased technology of most provinces tended to produce desirable outputs (value added in transportation) and reduce the byproduct of CO2 relatively; (4) Average years of education, green patents in transportation, industrial scale, and local government fiscal expenditure in transportation significantly contributed to promoting the bias of technological progress, which was inhibited by the R&D investment. This study provides further insight into the improvement of sustainable development for China’s transportation, thereby helping to guide the government to promote green-biased technological progress and optimize the allocation of resources.

Total Factor Productivity, Efficiency, and Technological Change in the European Regions: A Nonparametric Approach

2009 ◽  
Vol 41 (5) ◽  
pp. 1152-1170 ◽  
Author(s):  
Roberto Ezcurra ◽  
Belen Iraizoz ◽  
Pedro Pascual
Keyword(s):  
European Union ◽  
Technological Change ◽  
Total Factor Productivity ◽  
Malmquist Index ◽  
Geographical Location ◽  
The European Union ◽  
European Regions ◽  
Factor Productivity ◽  
Cross Sectional ◽  
Nonparametric Approach

This paper examines the global trend of total factor productivity, efficiency, and technological change in the European Union regions over the period 1986–2004, using the Malmquist index computed by data envelopment analysis. The results reveal the important role played by technical efficiency in explaining total factor productivity growth in the European Union. For this reason, in a second stage, we investigate existing regional disparities in efficiency levels across the European regions, using a nonparametric methodology that allows us to study the dynamics of the entire cross-sectional distribution. Estimates show the presence of a process of convergence in efficiency levels over the sample period, despite a relatively low degree of intradistribution mobility. In order to complete these results, factors such as the geographical location of the various regions, country-specific characteristics, or the sectoral composition of economic activity were examined for their role in explaining the observed disparities.

scholarly journals Productivity Comparation of Islamic and Conventional Banks in Indonesia

2020 ◽  
Vol 4 (1) ◽  
pp. 69
Author(s):  
Marhanum Che Mohd Salleh ◽  
Lina Nugraha Rani
Keyword(s):  
Technological Change ◽  
Total Factor Productivity ◽  
Banking Industry ◽  
Secondary Data ◽  
Financial Statements ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Islamic Banks ◽  
Factor Productivity ◽  
Conventional Banks

This study aimed to compare the productivity performance of Islamic and Conventional Banks in Indonesia with the Total Factor Productivity Index (TFPCH) indicator. The sample of this study was 14 banks consisting of 7 Islamic Banks and 7 Conventional Banks from 2011-2018. Secondary data were obtained from the annual financial statements of each sample. To measure the total factor productivity index (TFPCH), the Malmquist Productivity Index (MPI) was used as a measure of productivity. It found that the productivity of Conventional Banks was slightly superior compared to Islamic Banks, with contributions from Technical / Technological Change (TECHCH) being the most influential component in the TFPCH composition. Further, there was an indication of a technical increase in both types of banks during the period. The results of this study implied banking industry players to increase their efficiency particularly the usage of technology in providing efficient services to users.

scholarly journals   Technical efficiency and total factor productivity in Czech agriculture

2012 ◽  
Vol 58 (No. 4) ◽  
pp. 147-156 ◽  
Author(s):  
L. Čechura
Keyword(s):  
Technological Change ◽  
Technical Efficiency ◽  
Total Factor Productivity ◽  
Systemic Effect ◽  
Management Model ◽  
Factor Productivity ◽  
Key Factors ◽  
Economic Changes ◽  
Input Use ◽  
The Individual

The paper deals with the analysis of technical efficiency and the total factor productivity (TFP) in Czech agriculture. The aim is to identify the key factors determining the efficiency of input use and the TFP development. The Fixed Management model is used for the estimation of technical efficiency and the construction of TFP for the total agriculture and its individual branches. The results show that technical inefficiency is an important phenomenon in Czech agriculture and its individual branches. The TFP development is determined by all components, i.e., technical efficiency, scale effect, technological change and management. Their contributions differ intrasectorally and intersectorally, and also in time. Finally, the developments in the individual branches are characterized by idiosyncratic factors, as well as the systemic effect, especially in the animal production. The most important factors which determine both technical efficiency and TFP are the factors connected with institutional and economic changes, in particular a dramatic increase in the imports of meat and increasing subsidies.  

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