scholarly journals Structural Change and Wage Inequality in the Manufacturing Sector: Long Run Evidence from East Asia

2015 ◽  
Vol 43 (2) ◽  
pp. 212-231 ◽  
Author(s):  
Bruno Martorano ◽  
Marco Sanfilippo
Keyword(s):  
Structural Change ◽  
East Asia ◽  
Wage Inequality ◽  
Manufacturing Sector ◽  
Long Run

scholarly journals The Legacy of King Cotton: Agricultural Patterns and the Quality of Structural Change

2018 ◽  
Author(s):  
Yeonha Jung
Keyword(s):  
Economic Development ◽  
Structural Change ◽  
Local Economic Development ◽  
Negative Impact ◽  
Manufacturing Sector ◽  
Boll Weevil ◽  
Climatic Conditions ◽  
Cotton Production ◽  
Long Run ◽  
Manufacturing Productivity

Agricultural patterns could have diverse impact on long-run economic development. In the context of the US South, this paper examines the legacy of cotton on economic development focusing on a novel channel of structural change. Exploiting variation in cotton production along with agro-climatic conditions, I show that the legacy of cotton has impeded local economic development exclusively as of the mid-twentieth century. The structural break is found to be a consequence of cotton mechanization. Evidence from exogenous variation in the boll weevil infestation shows that cotton farming was strongly dependent on tenant farmers with little human capital. Following cotton mechanization, cotton tenants were largely displaced and absorbed by the manufacturing sector. I then find that the inflow of cotton tenants has reduced labor productivity in the manufacturing sector. Beyond the composition effect, the negative impact on manufacturing productivity has persisted in the long-run through demand-side. Employing an index of state-level policy environment, I exploit within-state variation to show that the legacy of cotton has induced unskill-biased technical change in manufacturing.

scholarly journals Manufacturing and the Convergence Hypothesis: What the Long-Run Data Show

1993 ◽  
Vol 53 (4) ◽  
pp. 772-795 ◽  
Author(s):  
Stephen N. Broadberry
Keyword(s):  
United States ◽  
Structural Change ◽  
Labor Productivity ◽  
Manufacturing Sector ◽  
The United States ◽  
Industrialized Countries ◽  
Convergence Hypothesis ◽  
Technological Choice ◽  
Long Run ◽  
Productivity Gap

The commonly accepted chronology for comparative productivity levels, based on GDP data, does not apply to the manufacturing sector, which shows evidence of a much greater degree of stationarity of comparative labor productivity performance among the major industrialized countries of Britain, Germany, and the United States. These results for manufacturing suggest that convergence of GDP per worker must have occurred through trends in other sectors and through compositional effects of structural change. The persistent, large labor productivity gap between the United States and Europe cannot be explained simply by differences in capital per worker, but is related to technological choice.

scholarly journals International trade in services and inequalities

2016 ◽  
Vol 23 (5) ◽  
pp. 1069-1075 ◽  
Author(s):  
Sylvain Petit
Keyword(s):  
Wage Inequality ◽  
Developed Countries ◽  
Tourism Industry ◽  
Skilled Workers ◽  
Business Services ◽  
Long Run ◽  
Short Run ◽  
Unskilled Workers ◽  
Tourism Services ◽  
The Impact

This study investigates the impact of the international openness in tourism services trade on wage inequality between highly skilled, semi-skilled, and unskilled workers in the tourism industry. The sample covers 10 developed countries and expands over 15 years. A cointegrated panel data model and an error correction model were used to distinguish between the short- and long-run effects. The results are compared to those of openness of business services and manufactured goods. The findings point out that tourism increases wage inequality at the expense of the least skilled workers in the long run and the short run.

scholarly journals Analysis of the Keynesian Theory of Employment and Sectoral Job Creation: The Case of the South African Manufacturing Sector

2018 ◽  
Vol 18 (1) ◽  
pp. 123-143
Author(s):  
Thomas Habanabakize ◽  
Paul-Francois Muzindutsi
Keyword(s):  
South African ◽  
Manufacturing Sector ◽  
Job Creation ◽  
The South ◽  
Economic Sectors ◽  
Vector Autoregressive ◽  
Integration Approach ◽  
Long Run ◽  
Short Run ◽  
Investment Spending

Abstract The manufacturing sector is one of the backbones of the South African economy, and yet is one of the economic sectors facing challenges in job creation. This study analysed the long-run and short-run effects of aggregate expenditure components on job creation in the South African manufacturing sector. A Vector Autoregressive (VAR) with Johansen co-integration approach was used to analyse quarterly data from 1994 to 2015. The findings are that there is a long-run relationship between aggregate expenditure and job creation in the South African manufacturing sector, with government and investment spending being the major components of aggregate expenditure that create jobs in the South African manufacturing sector. Conversely, consumption spending destroys jobs in the manufacturing sector, while net exports have no significant effect on job creation. The short-run relationship between variables was not significant. Recommendations are that more effort should be put into investment spending, and government should spend more on investment than on consumption spending - in order to increase job creation in the manufacturing sector.

scholarly journals A Long Run ARDL Investigation of Manufacturing Adjustment to the Services Economy in Nigeria

2021 ◽  
Vol 9 (3) ◽  
pp. 95-107
Author(s):  
Olumuyiwa Olamade
Keyword(s):  
Capital Accumulation ◽  
Negative Impact ◽  
Manufacturing Sector ◽  
Value Added ◽  
Business Services ◽  
Development Indicators ◽  
Services Sector ◽  
Positive Effects ◽  
Distributed Lag ◽  
Long Run

The long-run equilibrating relationship between the value-added growth of services and manufacturing is investigated in this research. The study is based on the well-established empirical link between manufacturing and service activities, and in particular, manufacturing's servicification. The selected variables' annualized time series were obtained from the World Development Indicators. The paper used the autoregressive distributed lag framework to regress manufacturing value-added growth against service value-added growth while accounting for economic growth, factor input growth, and trade effects. The findings revealed that in Nigeria, a strong performing services sector has a large negative impact on manufacturing performance, whereas capital accumulation and income growth have positive effects. The supply constraint of business services that the manufacturing sector requires is at the root of this finding. The paper advocates for policy frameworks that support the efficient supply of business services as both a manufacturing input and a productivity enhancer for the entire economy.

scholarly journals Agriculture Sector Credit and Output Relationship in Nepal

2020 ◽  
pp. 33-53
Author(s):  
Arjun Kumar Dahal ◽  
Khagendra Kumar Thapa
Keyword(s):  
Commercial Banks ◽  
Agricultural Sector ◽  
Least Squares Method ◽  
Manufacturing Sector ◽  
Agriculture Sector ◽  
Industrial Sectors ◽  
Long Run ◽  
Integration Test ◽  
The Government ◽  
The Impact

Purpose: The purpose of this study is to find out the condition of priority of commercial banks to provide loans to the agricultural sector and to find the relationship and impact of agricultural loans to the agricultural GDP of Nepal. Objectives: This study aims to compare the condition of loan disbursements in agricultural and manufacturing sectors. It further aims to compare loan percent with growth and contribution to the GDP of the agricultural and industrial sectors and tries to show the impact of agricultural loans to the agricultural GDP of Nepal. Methods: It was based on a descriptive and analytical research design. Statistical tools standard deviation, correlation, regression, etc. are used and Excel, and EViews software are used for the statistical calculations. Statistical calculations and graphs are simultaneously used to show and compare the condition of variables. Results: Commercial banks give higher priority to the manufacturing sector for loans than the agricultural sector. The Johansen Co-integration test indicates no long-run relationship between loans of commercial banks and agricultural output in Nepal. However, the least-squares method, it indicates that a positive causal relationship between agricultural loans and agricultural growth. Implications: The loans of commercial banks directly stimulate the growth of agriculture but the amount of growth is less noticeable. Thus, it is concluded that the commercial bank's loan alone cannot affect and control the growth of the agricultural sector of the Nepalese economy therefore the government should increase its expenditure on the agricultural sector.

scholarly journals Can Sectoral Re-allocation Explain the Jobless Growth? Empirical Evidence from Pakistan

2010 ◽  
Vol 49 (4II) ◽  
pp. 705-718 ◽  
Author(s):  
Azad Haider
Keyword(s):  
Structural Change ◽  
Empirical Evidence ◽  
Structural Changes ◽  
Manufacturing Sector ◽  
Industrial Sector ◽  
Foreign Technology ◽  
Industrial Sectors ◽  
Jobless Growth

The present paper discuss the nature of structural changes in employment to understand jobless growth in Pakistan for the period spanning over 1967-2008. In our work (elsewhere)1 analysing Pakistan at sectoral level to find underlying factors generating jobless growth, we found that Jobless growth in manufacturing sector was anticipated. Industrial sector has a significant importance in any economy across the glob. Recent changes in the use of capital—based foreign technology has resulted in substitution of labour with non-labour inputs such as capital. Employment shifts between industrial sectors are often witnessed as indicators of Structural change in an economy. In this paper we are more interested in the nature of structural change that took place in Pakistan economy over 1967-2008. We set to analyse four commonly used measures of sectoral reallocation proposed by Lilien (1982), Groshen and Potter (2003), Rissman (1997), and Aaronson, Rissman and Sullivan (2004). Findings of our work are suggesting that the economy of Pakistan underwent structural change during periods of recession and recovery. However, it does appear that structural changes were more pronounced at the time of 1969 recession than that of 1991 recession. A plausible explanation for this result might be significant shifts in employment from agriculture towards services sectors. We conclude, based on the evidence from our study, that sectoral reallocation is one of the major causes of jobless growth in Pakistan.

scholarly journals On the predictability of economic structural change by the Poincaré–Bendixson theory

foresight ◽  
2019 ◽  
Vol 21 (2) ◽  
pp. 250-265 ◽  
Author(s):  
Denis Stijepic
Keyword(s):  
Structural Change ◽  
Design Methodology ◽  
Economic Structure ◽  
Content Type ◽  
Geometrical Properties ◽  
Modeling Methods ◽  
Modeling And Prediction ◽  
Long Run ◽  
Topological Modeling

Purpose The three-sector framework (relating to agriculture, manufacturing and services) is one of the major concepts for studying the long-run change of the economic structure. This paper aims to discuss the system-theoretical classification of the structural change in the three-sector framework and, in particular, its predictability by the Poincaré–Bendixson theory. Design/methodology/approach This study compares the assumptions of the Poincaré–Bendixson theory to the typical axioms of structural change modeling, the empirical evidence on the geometrical properties of structural change trajectories and the methodological arguments referring to the laws of structural change. Findings The findings support the assumption that the structural change phenomenon is representable by a dynamical system that is predictable by the Poincaré–Bendixson theory. This result implies, among others, that in the long run, structural change is either transitory or cyclical and can be used in further geometrical/topological long-run structural change modeling and prediction. Originality/value Although widespread in mathematics, geometrical/topological modeling methods have not been used in modeling and prediction of long-run structural change, despite the fact that they seem to be predestined for this purpose owing to their global, system-theoretical nature, allowing for a reduction of ideology content of predictions and greater robustness of results.

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