scholarly journals Complexity and technological change: knowledge interactions and firm level total factor productivity

2012 ◽  
Vol 23 (1) ◽  
pp. 77-96 ◽  
Author(s):  
Cristiano Antonelli ◽  
Giuseppe Scellato
Keyword(s):  
Technological Change ◽  
Total Factor Productivity ◽  
Factor Productivity ◽  
Firm Level

Impact of Determinants of Industrial Development on Employment and Wages in Indian Manufacturing

2020 ◽  
pp. 18-30
Keyword(s):  
Technical Efficiency ◽  
Total Factor Productivity ◽  
Technical Change ◽  
Positive Impact ◽  
Manufacturing Sector ◽  
Factor Productivity ◽  
Firm Level ◽  
Employment Level ◽  
The Impact ◽  
Level Performance

ABSTRACT The present study was undertaken to explore the evolution of the impact of firm-level performance on employment level and wages in the Indian organized manufacturing sector over the period 1989-90 to 2013-14. One of the major components of the economic reform package was the deregulation and de-licensing in the Indian organized manufacturing sector. The impact of firm-level performance on employment and wages were estimated for Indian organized manufacturing sector in major sub-sectors in India during the period from 1989-90 to 2013-14 of the various variables namely profitability ratio, total factor productivity change, technical change, technical efficiency, openness (export-import), investment intensity, raw material intensity and FECI in total factor productivity index, technical efficiency, and technical change. The study exhibited that all explanatory variables except profitability ratio and technical change cost had a positive impact on the employment level. Out of eight variables, four variables such as net of foreign equity capital, investment intensity, TFPCH, and technical efficiency change showed a positive impact on wages and salary ratio and rest of the four variables such as openness intensity, technology acquisition index, profitability ratio, and technical change had negative impact on wages and salary ratio. In this context, the profit ratio should be distributed as per the marginal rule of economics such as the marginal productivity of labour and capital.

Evaluation of Firm Performances in Emerging Markets

2020 ◽  
pp. 329-354
Author(s):  
Seda Ekmen Özçelik
Keyword(s):  
Emerging Markets ◽  
Total Factor Productivity ◽  
Labor Productivity ◽  
Value Added ◽  
Factor Productivity ◽  
Firm Level ◽  
Average Value ◽  
The World Bank ◽  
The World ◽  
Enterprise Surveys

This chapter provides basic understanding of firm performance in emerging markets by focusing on labor productivity and total factor productivity. In the study, labor productivity is measured in terms of average value added per worker. Total factor productivity is obtained from estimations of Cobb-Douglas production function where value added is a function of labor and capital. Data is obtained from the firm-level Enterprise Surveys by the World Bank. According to the results, differences in average labor productivities are significant among the sectors within each emerging region. Also, the value of factor elasticities changes across sectors as well as across regions. Moreover, the elasticity of capital is lower than the elasticity of labor for all sectors in regions. It implies that labor plays a more significant role and the firms are operating in a more labor-intensive production process in emerging markets.

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 Environmental Regulation, Enterprises' Bargaining Power, and Enterprises' Total Factor Productivity: Evidence from China

2021 ◽  
Author(s):  
Shuwang Yang ◽  
Chao Wang ◽  
Hao Zhang ◽  
Tingshuai Lu ◽  
Yang Yi
Keyword(s):  
Environmental Regulation ◽  
Total Factor Productivity ◽  
Environmental Economics ◽  
Bargaining Power ◽  
Factor Productivity ◽  
Firm Level ◽  
Capital Cities ◽  
Provincial Capital ◽  
The Government ◽  
The Relationship

Abstract The relationship between environmental regulation and enterprises' total factor productivity (TFP) has been a hot topic in the field of environmental economics, but the conclusions are still mixed. Employing a sample of 14,110 firm-year observations in China from 2010 to 2018, our research explores whether and when environmental regulation could trigger firms, to enhance TFP. The available evidence leads us to cautiously conclude that: 1) Environmental regulation notably improves enterprises' TFP, the conclusion still holds after a series of robustness tests. 2) Enterprises' bargaining power significantly weakens the influence of environmental regulation on enterprises' TFP. 3) Compared with non-state-owned enterprises and non-heavy-polluting industries, environmental regulation has a greater impact on state-owned enterprises and heavy-polluting industries; higher executive compensation does not motivate firms to improve TFP; compared with enterprises headquartered in non-provincial capital cities, environmental regulation has a greater impact on enterprises' TFP in provincial capital cities. Overall, the findings of our research are extremely relevant for the government, investor, and enterprise's manager, this paper provides micro-firm-level evidence for the Porter hypothesis in practice in China.

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