scholarly journals Innovation and Labour Productivity in the Swiss Manufacturing Sector: An Analysis Based on Firm Panel Data

2008 ◽  
pp. 188-216 ◽  
Author(s):  
Spyros Arvanitis
Keyword(s):  
Panel Data ◽  
Manufacturing Sector ◽  
Labour Productivity

scholarly journals Pengaruh Indikator Keuangan Terhadap Pertumbuhan Ekonomi Sektor Industri Pengolahan di Provinsi Jawa Tengah

2020 ◽  
Vol 4 (2) ◽  
pp. 404
Author(s):  
Tulus Tulus ◽  
Abdul Aziz Ahmad ◽  
Suharno Suharno
Keyword(s):  
Economic Growth ◽  
Data Analysis ◽  
Panel Data ◽  
Manufacturing Sector ◽  
Working Capital ◽  
Processing Industry ◽  
Central Java ◽  
Analysis Technique ◽  
Central Java Province ◽  
The Ideal

The number of industries in Central Java Province has experienced a significant increase, however, economic growth in the of the manufacturing sector is experiencing a slowdown. This study aims to analyze the effect of processing industry credit, working capital credit, investment credit, regional minimum wages and investment on the economic growth of the manufacturing sector in Central Java Province in 2011-2018. The data analysis technique used multiple linear regression with panel data with eviews sofware . The results showed that working capital credit has a positive and significant effect on economic growth in the of the manufacturing sector in Central Java Province in 2011-2018. The regional minimum wage has a negative and significant effect on the economic growth of the of the manufacturing sector in Central Java Province in 2011-2018. Processing industry credit, investment and investment credit not a significant on economic growth of the of the manufacturing sector in Central Java Province in 2011-2018. This research implies the need to increase working capital credit distribution and  the need to necessary to determine the ideal UMR.  

scholarly journals Club convergence of labour productivity in agriculture: Evidence from EU countries

2020 ◽  
Vol 66 (No. 9) ◽  
pp. 391-401
Author(s):  
Arkadiusz Kijek ◽  
Tomasz Kijek ◽  
Anna Nowak
Keyword(s):  
European Union ◽  
Panel Data ◽  
Data Model ◽  
Agricultural Sector ◽  
Labour Productivity ◽  
Panel Data Model ◽  
Club Convergence ◽  
Eu Countries ◽  
Agriculture Industry ◽  
European Union Countries

This paper studies club convergence in relation to labour productivity in the agriculture industry of 28 European Union countries for the period 2005 to 2018. The countries were divided into three groups which were homogeneous in terms of level of development in the agricultural sector. The presence of convergence in the groups of countries was verified by using a panel-data model of conditional β-convergence. Then, convergence processes were investigated within clubs of countries. Convergence processes took place in the groups of countries with low and medium levels of labour productivity. In the club of countries where labour productivity was high, opposite processes (i.e. divergence) were observed.

Informality and structural change: evidences from microenterprises in India's unorganised manufacturing sector

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shromona Ganguly
Keyword(s):  
Structural Change ◽  
Small Firm ◽  
Small Firms ◽  
Structural Changes ◽  
Manufacturing Sector ◽  
Labour Productivity ◽  
Capital Intensity ◽  
World Market ◽  
Productivity Analysis ◽  
Content Type

PurposeThis article analyses the structural change in microenterprises located at India's unorganised manufacturing sector in terms of output mix, choice of technique and productivity during the last few decades.Design/methodology/approachBased on data collected from a quinquennial survey of unorganised firms, this study attempts productivity analysis by using the growth accounting technique.FindingsThe paper finds that there is a significant structural change which has occurred in the small firm sector in Indian manufacturing. The share of capital-intensive industries has increased substantially in recent years. Further, though small firms are more labour intensive, the labour productivity and total productivity of these firms are very low. The falling labour productivity and rising capital intensity indicates replacement of labour with capital in Indian small firm sector.Practical implicationsLow productivity of the sector is a cause for concern and this needs to be addressed by making the sector more competitive in the world market. To achieve this, policies should be designed so that small firms reach the efficient scale of production.Originality/valueThis is the first paper which examines structural changes in the Indian MSME sector. The findings have strong implications for creation of a viable ecosystem of entrepreneurship in the country.

scholarly journals Is It Possible to Make Money on Investing in Companies Manufacturing Solar Components? A Panel Data Approach

Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3406
Author(s):  
Sebastian Klaudiusz Tomczak ◽  
Anna Skowrońska-Szmer ◽  
Jan Jakub Szczygielski
Keyword(s):  
Renewable Energy ◽  
Panel Data ◽  
Nearest Neighbor ◽  
Manufacturing Sector ◽  
Renewable Energy Sources ◽  
Classification Trees ◽  
Energy Sources ◽  
K Nearest Neighbor ◽  
Pv System ◽  
Altman Model

In the interests of the environment, many countries set limits on the use of non-renewable energy sources and promote renewable energy sources through policy and legislation. Consequently, the demand for components for renewable energy systems exhibits an upward trend. For this reason, managers, investors, and banks are interested in knowing whether investing in a business associated with the semiconductor and related device manufacturing sector, especially the photovoltaic (PV) systems manufacturers, is worthy of a penny. Using a sample for the period of 2015-2018, we apply a new approach to panel data, extending existing research using Classification Trees with the k-Nearest Neighbor and Altman model. Our aim is to analyze the financial conditions of enterprises to identify key indicators that distinguish companies producing PV system components (labeled “green, G”) from companies that do not manufacture PV components (“red, R”). Our results show that green companies can be distinguished from red companies at classification accuracies of 86% and 90% for CRT and CHAID algorithms in Classification Trees method and 93% for k-Nearest Neighbor method, respectively. Based on the Altman model and the analysis of crucial ratios, we also find that green businesses are characterized by lower financial performance although future ratio values may equal or exceed the values for the red companies if current upward trends are sustained. Therefore, investing in green companies presents a viable alternative.

scholarly journals Cost Competitiveness Comparisons and Convergence in China

2013 ◽  
Vol 223 ◽  
pp. R49-R60 ◽  
Author(s):  
Lili Kang ◽  
Peng Fei
Keyword(s):  
Manufacturing Sector ◽  
Labour Productivity ◽  
Coastal Region ◽  
Unit Labour Cost ◽  
The Past ◽  
Initial Cost ◽  
Labour Costs ◽  
Cost Competitiveness ◽  
Traditional Manufacturing ◽  
Regional Cost

We investigate trends in regional cost competitiveness in China's four regions (Coastal, Northeast, Interior and West) over the past thirty-five years. We find that the Coastal region lost its initial cost competitiveness as its higher relative labour productivity (RLP) was offset by rapidly rising relative nominal labour costs (RNLC) due to rising wages. The Northeastern region still has cost advantages in the traditional Manufacturing sector. The Interior and West regions improved their competitiveness in most industries due to low RNLCs. There is convergence of relative unit labour cost (RULC) in all industries before 1995, but only in Finance after 1995. However there is convergence in RLP in five industries in 1978–95 and 1995–2009, offering prospects for robust growth for China into the future.

Productive contribution of local and foreign workers in Singapore manufacturing industries

2016 ◽  
Vol 43 (3) ◽  
pp. 380-399 ◽  
Author(s):  
Shandre Mugan Thangavelu
Keyword(s):  
Panel Data ◽  
Capital Investment ◽  
Manufacturing Sector ◽  
Sustainable Growth ◽  
Policy Implications ◽  
Foreign Workers ◽  
Content Type ◽  
Industry Level ◽  
Manufacturing Productivity ◽  
The Impact

Purpose – The purpose of this paper is to study the impact of large inflow of foreign workers on the Singapore manufacturing productivity using a panel data at the disaggregated industry level from 1998 to 2008. The results indicate that foreign workers do make productive contribution to manufacturing productivity, but it is much lower as compared to local workers. However, the author observe the declining capital-labour ratio with the increase in the flow of foreign workers. This is expected to have direct impact on the competitiveness of the manufacturing in the export market. Since new technologies are embodied in new capital investment, the declining capital-labour ratio indicates that workers might be producing output with less technology-intensive capital. Conversely, local workers are more productive with high capital investment, indicating that local workers are more skilled and hence there is more complementarity between capital investments and local human capital. Design/methodology/approach – The author implement a panel estimation of disaggregated industry level data of Singapore manufacturing from 1998 to 2008. The author use GMM estimation to control for any endogeneity issues in the estimation. Findings – The results indicate that foreign workers do make productive contribution to manufacturing productivity; but it is much lower as compared to local workers. However; the author observe the declining capital-labour ratio with the increase in the flow of foreign workers. Research limitations/implications – The data for foreign workers at the disaggregated level is not publically available and this is given for this research purpose. The data for foreign workers is limited as it does not have by educational levels. Practical implications – This is the first paper to study impact of foreign workers on manufacturing sector at a disaggregated panel data. There are important policy implications for managing foreign workers and achieving sustainable growth for the Singapore economy. Social implications – The welfare and social impacts of foreign workers on the Singapore economy is discussed. There is also the issue of policy calibration to balance the flow of foreign workers in the Singapore economy. Originality/value – This is the first paper to study impact of foreign workers on manufacturing sector at a disaggregated panel data.

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