scholarly journals DINAMIKA INDUSTRI MANUFAKTUR DAN RESPON TERHADAP SIKLUS BISNIS

2010 ◽  
Vol 13 (2) ◽  
Author(s):  
Yati Kurniati ◽  
Yanfitri Yanfitri
Keyword(s):  
Production Cost ◽  
Manufacturing Industry ◽  
Factor Productivity ◽  
Firm Level ◽  
Industry Studies ◽  
Business Fluctuations ◽  
Productivity Rate ◽  
The Business Cycle ◽  
Boom Period

The role of the manufacturing industry in the economy has expanded significantly from 19 percent in 1990 to 26 percent in 2009, while its labor absorption only increased from 10 percent to 12.2 percent. The cycle of the manufacturing industry has been in line with the economic growth. This study explores the implications of the firm-level heterogeneity over the business cycle. By using the panel multinomial logit, it shows that firms with less capital and small size have greater probability to exit the industry during the boom/ bust period. Sensitivity of the company to changes in capital is greater during the boom period. Only highly productive firms enter and begin production during recessions. Companies with higher productivity rate also have greater probability to enter the market. In contrast, higher production cost and higher market concentration increase the probability for smaller companies to exit from the industry.JEL Classification:  : D24, L6, E32Keywords: Production, Cost, Capital and Total Factor Productivity, Industry Studies Manufacturing, Business Fluctuations/cycles

scholarly journals THE DYNAMICS OF MANUFACTURING INDUSTRY AND THE RESPONSE TOWARD BUSINESS CYCLE

2010 ◽  
Vol 13 (2) ◽  
pp. 131-164
Author(s):  
Yati Kurniati ◽  
Yanfitri Yanfitri
Keyword(s):  
Business Cycle ◽  
Production Cost ◽  
Manufacturing Industry ◽  
Firm Level ◽  
Industry Studies ◽  
Business Fluctuations ◽  
Productivity Rate ◽  
The Business Cycle ◽  
Boom Period

The role of the manufacturing industry in the economy has expanded significantly from 19 percent in 1990 to 26 percent in 2009, while its labor absorption only increased from 10 percent to 12.2 percent. The cycle of the manufacturing industry has been in line with the economic growth. This study explores the implications of the firm-level heterogeneity over the business cycle. By using the panel multinomial logit, it shows that firms with less capital and small size have greater probability to exit the industry during the boom/ bust period. Sensitivity of the company to changes in capital is greater during the boom period. Only highly productive firms enter and begin production during recessions. Companies with higher productivity rate also have greater probability to enter the market. In contrast, higher production cost and higher market concentration increase the probability for smaller companies to exit from the industry.JEL Classification:  : D24, L6, E32Keywords: Production, Cost, Capital and Total Factor Productivity, Industry Studies Manufacturing, Business Fluctuations/cycles

scholarly journals Production Technology and Competitiveness in the Hungarian Manufacturing Industry

2005 ◽  
Vol 55 (3) ◽  
pp. 317-340 ◽  
Author(s):  
Annamária Artner
Keyword(s):  
Manufacturing Industry ◽  
Field Research ◽  
High Technology ◽  
Firm Level ◽  
Major Threat ◽  
Technological Level ◽  
Production Effects ◽  
The Competitiveness Of Enterprises ◽  
Depth Interviews

Following the big transformations of the 1990s, enterprise structure and technological level seem to have become stabilised in Hungary. Under these circumstances it is especially interesting to identify the elements responsible for competitiveness in general, and the role technology plays in development in particular, according to managers experienced in production and marketing. This empirical study - based on in-depth interviews and field research - summarises characteristics of the technological level in the sectors examined, role of technology and labour in production, effects of foreign direct investment, relations between competition and firm-level factors determining competitiveness, and concludes by summing up those most frequently mentioned proposals that should be incorporated into economic policy according to managers. Main findings indicate that more qualified, more intensive and cheaper labour can be substituted for high technology. The competitiveness of an enterprise is not determined by technology alone, but rather by a combination of technology, the parameters of available labour and the costs of investment increasing productivity. The insufficiency of inter-company relations, together with a shortage of available assets necessary for investment constitute the major threat undermining the competitiveness of enterprises in present-day Hungary.

scholarly journals Large Firm Dynamics and the Business Cycle

2019 ◽  
Vol 109 (4) ◽  
pp. 1375-1425 ◽  
Author(s):  
Vasco M. Carvalho ◽  
Basile Grassi
Keyword(s):  
Business Cycle ◽  
Size Distribution ◽  
Firm Size ◽  
Large Firm ◽  
Firm Dynamics ◽  
Aggregate Fluctuations ◽  
Firm Level ◽  
Firm Size Distribution ◽  
The Business Cycle

Do large firm dynamics drive the business cycle? We answer this question by developing a quantitative theory of aggregate fluctuations caused by firm-level disturbances alone. We show that a standard heterogeneous firm dynamics setup already contains in it a theory of the business cycle, without appealing to aggregate shocks. We offer an analytical characterization of the law of motion of the aggregate state in this class of models, the firm size distribution, and show that aggregate output and productivity dynamics display: (i ) persistence, (ii ) volatility, and (iii ) time-varying second moments. We explore the key role of moments of the firm size distribution, and, in particular, the role of large firm dynamics, in shaping aggregate fluctuations, theoretically, quantitatively, and in the data. (JEL D21, D22, D24, E32, L11)

The Financial Foundations of the Productivity Puzzle

2017 ◽  
Vol 241 ◽  
pp. R48-R57 ◽  
Author(s):  
Jagjit S. Chadha ◽  
Amit Kara ◽  
Paul Labonne
Keyword(s):  
Financial Crisis ◽  
Total Factor Productivity ◽  
Service Sector ◽  
Labour Productivity ◽  
Financial Sector ◽  
Factor Productivity ◽  
Sectoral Productivity ◽  
The Business Cycle ◽  
The Uk

The financial crisis has led to a change in the mix of capital and labour employed in the UK and a sharp decline in total factor productivity. This has meant that labour productivity has not recovered to any great degree since the financial crisis. We explore the role of overall and sectoral productivity in explaining the fall in labour productivity, but also question the extent to which productivity in the service sector may be measured with error. We outline the links between a constrained financial sector and a fall in overall productivity – in which intangible capital seems to play an important role – and illustrate how a financial sector providing intermediate services may act to amplify the business cycle impetus from a total factor productivity shock within the context of a calibrated model.

Technical Efficiency and Total Factor Productivity Growth of Indonesian Manufacturing Industry: Does Openness Matter?

2021 ◽  
pp. 232102222110244
Author(s):  
Mohammad Zeqi Yasin
Keyword(s):  
Technical Efficiency ◽  
Total Factor Productivity ◽  
Absorptive Capacity ◽  
Manufacturing Industry ◽  
Raw Material ◽  
Foreign Firms ◽  
Factor Productivity ◽  
Stochastic Production Frontier ◽  
Firm Level ◽  
Tfp Growth

In this paper, we examine the contribution of openness variables such as import, export, absorptive capacity and foreign-shared capital to Indonesian firms’ technical efficiency and total factor productivity (TFP) growth. We use the most recent firm-level panel data of 23 subsectors in the manufacturing industry over the period from 2008 to 2015. We employ time-varying stochastic production frontier to examine factors affecting technical efficiency and to decompose the components of TFP growth. The results reveal that export and absorptive capacity alone contribute to the efficiency improvement of the firms under study. To speak specifically of foreign firms, they contribute to improving efficiency if they interact with absorptive capacity and imported raw material intensity. We identify that, on an average, the manufacturing industry in Indonesia experienced positive TFP growth. However, among 23 subsectors, there are only few subsectors that benefitted from the openness variables. In 2014, 15 out of 23 subsectors experienced negative TFP growth. This implies that, in 2014, there were some macroeconomic issues regarding the contracted policy, for example, the subsidy removal and the basic electricity tariff. JEL Classification: C23, D24, F23, O14

scholarly journals Market Exposure and Endogenous Firm Volatility over the Business Cycle

2016 ◽  
Vol 8 (1) ◽  
pp. 148-198 ◽  
Author(s):  
Ryan A. Decker ◽  
Pablo N. D'Erasmo ◽  
Hernan Moscoso Boedo
Keyword(s):  
Theoretical Model ◽  
Business Cycle ◽  
Total Factor Productivity ◽  
Factor Productivity ◽  
Firm Level ◽  
Productivity Shocks ◽  
Demand Shocks ◽  
The Business Cycle ◽  
Total Factor Productivity Shocks

We propose a theory of endogenous firm-level risk over the business cycle based on endogenous market exposure. Firms that reach a larger number of markets diversify market-specific demand shocks at a cost. The model is driven only by total factor productivity shocks and captures the observed countercyclity of firm-level risk. Using a panel of US firms we show that, consistent with our theoretical model, measures of market reach are procyclical, and the counter-cyclicality of firm-level risk is driven by those firms that adjust their market exposure, which are larger than those that do not. (JEL D21, D22, E23, E32, L25)

The End of Multi-Fibre Arrangement and Firm Performance in the Textile Industry: New Evidence

2013 ◽  
Vol 52 (2) ◽  
pp. 97-126 ◽  
Author(s):  
Zara Liaqat
Keyword(s):  
Textile Industry ◽  
Manufacturing Industry ◽  
Firm Heterogeneity ◽  
Production Functions ◽  
Firm Level ◽  
Quality Ladders ◽  
Sectoral Differences ◽  
The Mean ◽  
New Evidence ◽  
Empirical Methodology

Using a sample of 321 textile and clothing companies for the years 1992 to 2010, this paper analyses the effect of quota phase-outs on firm-level efficiency in Pakistan following the end of the Multi-Fibre Arrangement (MFA). It highlights sectoral heterogeneity within the manufacturing industry as a result of MFA expiration. The empirical methodology uses the structural techniques proposed by Olley and Pakes (1996), and Levinsohn and Petrin (2003) in order to take care of endogeneity in the estimation of production functions. The results differ for the two industries: MFA expiration lead to an increase in the average productivity of textile producing firms but a significant reduction in the mean productivity of clothing producers. We offer a number of explanations for this outcome, such as a change in the input and product mix, entry by non-exporters in the clothing sector, and sectoral differences in quality ladders. A number of crucial policy lessons can be drawn from the findings of this study. JEL Classification:F13; F14; D24; C14; O19 Keywords: Multi-Fibre Arrangement, Trade Liberalisation, Productivity, Firm Heterogeneity, Simultaneity and Production Functions, Endogeneity of Protection

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.

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