Productivity Of Manufacturing Firms Research Articles

Talent Management and Productivity of Manufacturing Firms. A Case Study of Westrock Company in Atlanta, Georgia

Talent Management and Productivity of Manufacturing Firms. A Case Study of Westrock Company in Atlanta, Georgia

Modes of Technology Accumulation, Total Factor Productivity and Indian Manufacturing Sector: Firm-Level Analysis

Accumulation of technology has largely been acknowledged as an important factor determining productivity of the manufacturing firms. However, there are different domestic and foreign means of technology spillover that lead to its accumulation leading industry specific technological complexity. In the past, researchers have examined the process of technology accumulated through various channels and also their impact on productivity of the manufacturing sector. Nevertheless, there is a dearth of literature for a detailed industry specific analysis in this direction. In an attempt to fill this gap, the present study provides a detailed micro level analysis regarding the impact of various channels of technology accumulation on productivity of the manufacturing firms especially taking into consideration their technology intensity. It was found that at the aggregate level, the impact of stock of embodied and disembodied imported technology is positive on productivity of the manufacturing firms whereas the impact of domestic technology is found to be negative and significant. However, results at the disaggregated level depict inter sectoral variation regarding the impact of various channels of technology accumulation on the productivity of the different manufacturing firms.

Work Environment, Supervision and Job Satisfaction on Employees Productivity of Manufacturing Firms in Oluyole Local Government Area, Oyo State, Nigeria.

The life wire of every organization is the quality of its workforce. Thus, employee’s productivity is an important consideration for the success of any business as it provides the needed competitive comparative advantage over rivalry firms in the market. In fact, understanding the peculiarity of every employee within an organization in term of work psychology geared towards bring the best out of each employee is as important as the organization itself. In the light of this basic truth, it is highly imperative that attempts be made at examining work environment, supervision and job satisfaction on employees’ productivity of manufacturing firms in Oyo State, Nigeria. The study aimed at examining the impact of work environment, supervision and job satisfaction on employees’ productivity in Nigeria. Three research hypotheses were formulated and tested at 0.05 significant levels to guide the study. Consequently, adopting the causal-comparative research design which is ex post facto in nature using purposive sampling technique, 466 manufacturing firms was the total population for the study in which 50% was sampled comprising 235 participants. However, only 202 participants returned their questionnaire given 86% which is high enough for analysis. The research instrument titled “Work Environment, Supervision and Job Satisfaction on Employees Productivity Questionnaire” (WESJSEPQ) was validated to gather data in the study at .85 reliability value. The data collected was analyzed using descriptive statistics such as frequency coefficient, percentage, mean and standard deviation while Pearson Product Moment Correlation was used to test the three hypotheses. Findings of the study showed that work environment (r= -.92; df= 193; P <.05), supervision (r= .791; df= 193; P <.05) and job satisfaction (r= .679; df = 193; P < .05) were significantly correlated with employees’ productivity. The study recommends that workers welfare and supervision should be of paramount importance to the management of manufacturing firms which will translate to increased productivity.

Trade liberalization and productivity of Indian manufacturing firms

PurposeThe purpose of this paper is to assess the impact of India’s trade liberalization during the late 1990s and 2000s on productivity of manufacturing firms and verify whether the productivity-enhancing impact of reductions in input tariffs was greater than that of output tariff cuts, as found in some earlier studies.Design/methodology/approachFirm-level (company-level) data drawn from Prowess database are used for the estimation of total factor productivity (TFP) at the firm level, done by using the Levinsohn–Petrin methodology. Econometric models are estimated to explain firm-level TFP. The explanatory variables used are output and input tariff rates and quantitative restrictions on imports at the industry level and firm characteristics such as firm size, export intensity and import intensity. Firm-level panel data for 2002-2010 or for a longer period 1998-2010 are used for the estimation of econometric models. Model estimation is done by applying the fixed-effects model and IV-2SLS, 3SLS estimators and EC2SLS estimators.FindingsTrade liberalization had a significant positive effect on the productivity of Indian manufacturing firms. The lowering of output tariff had a greater beneficial impact on TFP of Indian manufacturing firms than the lowering of tariff on intermediate inputs.Originality/valueGood deal of care has been taken in the measurement of output and inputs for the purpose of TFP measurement. Two alternative frameworks, gross output and value added, are used. This helps in making a better estimate of the impact of trade liberalization on TFP.

Impact of Services Liberalization on Productivity of Manufacturing Firms: Evidence from Ukrainian Firm-Level Data

This paper brings new evidence on the impact of services liberalization on performance of manufacturing firms. Using a unique database of Ukrainian firms in 2001-2007, we utilize an external push for liberalization in services sector as a source of exogenous variation to identify the impact of services liberalization on total factor productivity (TFP) of manufacturing firms. Results indicate that a standard deviation increase in services liberalization is associated with a 9 percent increase in TFP. Allowing services liberalization to dynamically influence TFP through the investment channel leads to even higher effect. The effect is robust to different estimation methods and to different sub-samples of the data. In particular, it is more pronounced for domestic and small firms.