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 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 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)

scholarly journals Inequality over the business cycle: the role of distributive shocks

2021 ◽  
pp. 1-30
Author(s):  
Marius Clemens ◽  
Ulrich Eydam ◽  
Maik Heinemann
Keyword(s):  
Income Inequality ◽  
Income Distribution ◽  
Business Cycle ◽  
Parameter Estimates ◽  
Panel Estimation ◽  
Bayesian Techniques ◽  
Elasticity Of Intertemporal Substitution ◽  
Ex Ante ◽  
The Business Cycle

Abstract This paper examines how wealth and income inequality dynamics are related to fluctuations in the functional income distribution over the business cycle. In a panel estimation for OECD countries between 1970 and 2016, although inequality is, on average countercyclical and significantly associated with the capital share, one-third of the countries display a pro- or noncyclical relationship. To analyze the observed pattern, we incorporate distributive shocks into an RBC model, where agents are ex ante heterogeneous with respect to wealth and ability. We find that whether wealth and income inequality behave countercyclically or not depends on the elasticity of intertemporal substitution and the persistence of shocks. We match the model to quarterly US data using Bayesian techniques. The parameter estimates point toward a non-monotonic relationship between productivity and inequality fluctuations. On impact, inequality increases in response to TFP shocks but subsequently declines. Furthermore, TFP shocks explain 17% of inequality fluctuations.

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.

Markups, Aggregation, and Inventory Adjustment

2004 ◽  
Vol 94 (5) ◽  
pp. 1328-1353 ◽  
Author(s):  
Daniele Coen-Pirani
Keyword(s):  
Business Cycle ◽  
Aggregate Data ◽  
Firm Level ◽  
Partial Adjustment ◽  
Sector Model ◽  
Level Data ◽  
Firm Level Data ◽  
Downward Bias ◽  
Rapid Reaction ◽  
The Business Cycle

In this paper I suggest a unified explanation for two puzzles in the inventory literature: first, estimates of inventory speeds of adjustment in aggregate data are very small relative to the apparent rapid reaction of stocks to unanticipated variations in sales. Second, estimates of inventory speeds of adjustment in firm-level data are significantly higher than in aggregate data. The paper develops a multi-sector model where inventories are held to avoid stockouts, and price markups vary along the business cycle. The omission of countercyclical markup variations from inventory targets introduces a downward bias in estimates of adjustment speeds obtained from partial adjustment models. When the cyclicality of markups differs across sectors, this downward bias is shown to be more severe with aggregate rather than firm-level data. Similar results apply not only to inventories, but also to labor and prices. Montercarlo simulations of a calibrated version of the model suggest that these biases are quantitatively significant.

scholarly journals Investment Dispersion and the Business Cycle

2014 ◽  
Vol 104 (4) ◽  
pp. 1392-1416 ◽  
Author(s):  
Rüdiger Bachmann ◽  
Christian Bayer
Keyword(s):  
Business Cycle ◽  
Adjustment Costs ◽  
Firm Risk ◽  
Firm Level ◽  
Cross Sectional ◽  
Capital Adjustment ◽  
Investment Rates ◽  
Business Cycle Model ◽  
The Business Cycle ◽  
Heterogeneous Firm

The cross-sectional dispersion of firm-level investment rates is procyclical. This makes investment rates different from productivity, output, and employment growth, which have countercyclical dispersions. A calibrated heterogeneous-firm business cycle model with nonconvex capital adjustment costs and countercyclical dispersion of firm-level productivity shocks replicates these facts and produces a correlation between investment dispersion and aggregate output of 0.53, close to 0.45 in the data. We find that small shocks to the dispersion of productivity, which in the model constitutes firm risk, suffice to generate the mildly procyclical investment dispersion in the data but do not produce serious business cycles. (JEL D42, D92, E32, G31, G32)

Sign in / Sign up

Export Citation Format

Share Document