Innovation, Technology Transfer and Labor Productivity Linkages: Evidence from a Panel of Manufacturing Industries

This study investigates the effect of energy use on labor productivity in the Ethiopian manufacturing industry. It uses panel data for the manufacturing industry groups to estimate the coefficients using the dynamic panel estimator. The study’s results confirm that energy use increases manufacturing labor productivity. The coefficients for the control variables are in keeping with theoretical predictions. Capital positively augments productivity in the industries. Based on our results, technology induces manufacturing’s labor productivity. Likewise, more labor employment induces labor productivity due to the dominance of labor-intensive manufacturing industries in Ethiopia. Alternative model specifications provide evidence of a robust link between energy and labor productivity in the Ethiopian manufacturing industry. Our results imply that there needs to be more focus on the efficient use of energy, labor, capital, and technology to increase the manufacturing industry’s labor productivity and to overcome the premature deindustrialization patterns being seen in Ethiopia.

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CAUSALITY BETWEEN EXPORTS AND PRODUCTIVITY IN THE MALAYSIAN ECONOMY

The Singapore Economic Review ◽

10.1142/s0217590811004304 ◽

2011 ◽

Vol 56 (03) ◽

pp. 377-395 ◽

Cited By ~ 3

Author(s):

NURHANI ABA IBRAHIM

Keyword(s):

Error Correction ◽

Empirical Evidence ◽

Granger Causality ◽

Labor Productivity ◽

Productivity Growth ◽

Capital Intensity ◽

Manufacturing Industries ◽

Error Correction Mechanism

Empirical evidence linking exports and productivity growth has been mixed and inconclusive. This study re-examines the direction of the causality between them for Malaysian industries by using the error-correction mechanism and Granger causality models. In a panel of 63 manufacturing industries, for the period of 1981 to 1999, it is found that these industries support the export-led growth and the growth-driven export hypotheses. A further look into the results indicates that there are possibilities of indirect causalities between productivity growth and export through size and capital intensity, as both exports and labor productivity have bidirectional causality with size and capital intensity.

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Factors Affecting Firm’s Annual Turnover in Selected Manufacturing Industries of India

Business Perspective Review ◽

10.38157/business-perspective-review.v2i3.206 ◽

2020 ◽

Vol 2 (3) ◽

pp. 33-59

Author(s):

Ajay K. Singh ◽

Bhim Jyoti

Keyword(s):

Technology Transfer ◽

Waste Management ◽

Labor Productivity ◽

Manufacturing Sector ◽

Research Institutions ◽

Skilled Workers ◽

Factors Affecting ◽

Quality Certification ◽

Set Up ◽

Annual Turnover

Purpose: This study makes a comparison of the manufacturing sector and its determinants for India and selected Asian countries. It examines the factors affecting the annual turnover of randomly selected 154 firms in seven different industries of the Indian manufacturing sector. Methods: In this study, the firm’s annual turnover is used as a dependent variable. Labor productivity, age, investment on plant & machinery, annual expenditure on marketing, total employees, production technology up-gradation, shortage of skilled workers, skills to improve the process, use of hi-tech tool and technique in production activities, technology transfer abilities, in-house R&D expertise, quality certification, foreign collaboration, waste management capabilities and building capacity of firms are used as independent variables. Regression coefficients of explanatory variables are assessed using linear, log-linear, and non-linear regression models. Results: The study concluded that the firm's annual turnover has a significant association with technological development related variables, labor productivity, age, technology transfer abilities, in-house R&D expertise, quality certification, and waste management practices of firms. Implications: It suggests that Indian policymakers need to adopt a strong IPRs, education, and S&T policy in research institutions. India needs to increase R&D expenditure and researchers in research institutions. Research institutions should collaborate with the existing industries to discover more technologies and innovations for the manufacturing sector. All research organizations must set up technology transfer offices to increase technology transfer and commercialization. Furthermore, India needs to set up hi-tech firms to face global challenges. Originality: It uses primary data of 154 firms which are collected from seven different industries across Indian states. Thus, the study substantially contributes to the existing literature. Limitations: This study considers seven different industries that have high diversity in socio-economic, science & technological and IPRs related activities, technology transfer, commercialization of technology, and association with research institutions. Therefore, this study cannot provide policy suggestions for a specific industry.

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Procyclical Labor Productivity and Competing Theories of the Business Cycle: Some Evidence from Interwar U.S. Manufacturing Industries

Journal of Political Economy ◽

10.1086/261761 ◽

1991 ◽

Vol 99 (3) ◽

pp. 439-459 ◽

Cited By ~ 64

Author(s):

Ben S. Bernanke ◽

Martin L. Parkinson

Keyword(s):

Business Cycle ◽

Labor Productivity ◽

Manufacturing Industries ◽

The Business Cycle

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The Contribution of Agricultural Manufacturing in the Egyptian Economic Growth: Kaldor's Hypotheses

Asian Journal of Agricultural Extension Economics & Sociology ◽

10.9734/ajaees/2021/v39i530586 ◽

2021 ◽

pp. 156-166

Author(s):

Ahmed Abou El-Yazid El-Rasoul ◽

Mai Mustafa Hassan Morsi ◽

Mohamed Ibrahim Younis

Keyword(s):

Economic Growth ◽

Growth Rate ◽

Labor Productivity ◽

Manufacturing Industry ◽

Agricultural Sector ◽

Manufacturing Sector ◽

Least Square ◽

Manufacturing Industries ◽

The Real ◽

Real Growth

This research uses a Kaldor’s hypotheses to estimate the contribution of the agricultural manufacturing sector to increase the economic growth of the Egyptian agricultural sector during the period 1997-2018. It based on the three "hypotheses" of growth. Kaldor model depends on three hypotheses related to the relationship between the growth of manufacturing sector and the economic growth. The study used the growth rate, dummy variable, Ordinary Least Square (OLS) test, and used CUSUM squares test and Chow breakpoint test. In addition to, testing the stability of time series depended on E-view 11.0. The food, beverage, tobacco industries and textiles industry are the largest two sectors in the Egyptian agricultural manufacturing industries, as they represent about 83.58% of the total value of the agricultural manufacturing industries output during the period 1997-2018. The results shows that the increase of real growth rates of food, beverage, tobacco industries and textile production lead to increasing in the real growth rate of agricultural output. According to CUSUM Sq test and Chow test, the year 2003 is considered as the switch point for the study variables. Also, if the real agricultural manufacturing production growth rate increases, the real agricultural manufacturing labor productivity growth rate will increase. And if the real growth rate of agricultural manufacturing production value increases, the real growth rate of agricultural non-manufacturing labor productivity will increase. The results of the research assist decision-makers in the field of manufacturing industry and agriculture in Egypt, especially in the stages of economic development.

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