scholarly journals Characterizing the Difference between Indirect and Direct CO2 Emissions: Evidence from Korean Manufacturing Industries, 2004–2010

2018 ◽  
Vol 10 (8) ◽  
pp. 2711 ◽  
Author(s):  
Sinwoo Lee ◽  
Dong-Woon Noh ◽  
Dong-hyun Oh
Keyword(s):  
Carbon Emissions ◽  
Productivity Growth ◽  
Manufacturing Sector ◽  
Manufacturing Industries ◽  
Productivity Index ◽  
End User ◽  
Shipbuilding Industry ◽  
Industrial Sectors ◽  
Green Productivity ◽  
The Difference

This study measures and decomposes green productivity growth of Korean manufacturing industries between 2004 and 2010 using the Malmquist-Luenberger productivity index. We focus on differences in the measures of productivity growth by distinguishing carbon emissions from either end-user industries or the electricity generation industry. Empirical results suggest three main findings. First, the efficiency of total emissions is higher than that of direct emissions except for the shipbuilding industry. Second, green productivity in the manufacturing sector increased during the study period. Finally, green productivity depends on the indirect emissions of each industry. These results indicate that policymakers need to deliberately develop policy tools for mitigating carbon emissions of the manufacturing industrial sectors based on our empirical findings.

Productivity Growth and Efficiency Differences in Indian Manufacturing Sector: An Inter-State Analysis

2020 ◽  
pp. 43-50
Keyword(s):  
Technical Efficiency ◽  
Productivity Growth ◽  
Manufacturing Sector ◽  
Value Added ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Indian States ◽  
Entire Study ◽  
Indian Manufacturing Sector ◽  
Inter State

ABSTRACT The present study endeavours to analyze the productivity growth and technical efficiency of Indian manufacturing sector both at aggregate and disaggregate inter-state level by taking into account the entire study period of 35 years from 1980-81 to 2014-15 and three distinct sub-periods viz., (i) Pre-reforms period (1980-81 to 1990-91: Period-I) ii) Post-reforms period Phase-I (1991-92 to 2000- 2001: Period-II) and iii) Post- reforms period Phase-II (2001-02 to 2014-15: Period-III).The study utilizes the single output (gross value added) and two inputs (gross fixed capital stock and total employees) framework and employed Data Envelopment Analysis (DEA) approach to compute the total factor productivity growth and technical efficiency scores of sixteen major Indian states. The comparative analysis of pre-reforms and post-reforms period depicted a slower TFP growth in the post-reforms era as compared to the pre-reforms period. Further, a non-parametric decomposition of the Malmquist Productivity Index (MPI) into its two components revealed that both before and after reforms, technological progress rather than technical efficiency change contributed more towards the productivity growth of manufacturing sector of these Indian states.

Decomposition of Output and Productivity Growth in the Organised Manufacturing Industries in India: An Inter-State Analysis

2018 ◽  
Vol 66 (1-2) ◽  
pp. 25-41
Author(s):  
Prasanta Kumar Roy
Keyword(s):  
Total Factor Productivity ◽  
Productivity Growth ◽  
Manufacturing Sector ◽  
Stochastic Frontier ◽  
Output Growth ◽  
Manufacturing Industries ◽  
Growth Effect ◽  
Major Contributor ◽  
Factor Productivity ◽  
Reform Period

This article examines and applies the theoretical foundation of the decomposition of output and total factor productivity growth (TFPG) of the aggregate manufacturing industries in 15 major industrialised states in India as well as in all-India during the period from 1981–1982 to 2010–2011, during the entire period, during the pre-reform period (1981–1982 to 1990–1991) and post-reform period (1991–1992 to 2010–2011), and also during two different decades of the post-reform period, that is, during 1991–1992 to 2000–2001 and 2001–2002 to 2010–2011. Output growth is decomposed into input growth effect and TFPG where the three attributes of TFPG are adjusted scale effect, technological progress (TP) and technical efficiency change. A stochastic frontier model with a translog production function is used to estimate the growth attributes of output and total factor productivity (TFP). The empirical results show that input growth is the major contributor to output growth, whereas TP is found to be the major contributor to TFPG and the decline in TFPG of the organised manufacturing sector in India and in its major industrialised states during the post-reform period is mainly due to the decline in TP of the same during that period. JEL Codes: C23, D24, L6, O47

scholarly journals Productivity and export growth in the South African manufacturing sector

1999 ◽  
Vol 2 (2) ◽  
pp. 269-291 ◽  
Author(s):  
Larette Van Rensburg ◽  
Willem Naudé
Keyword(s):  
South African ◽  
Productivity Growth ◽  
Manufacturing Sector ◽  
Export Growth ◽  
Manufacturing Industries ◽  
Significant Determinant ◽  
Wood Processing ◽  
Export Expansion ◽  
Causality Tests ◽  
Increase In Productivity

This paper empirically investigates the direction of causality between export and productivity growth in 22 South African manufacturing industries. Data spanning the period 1972 to 1993 are used. Standard Granger-causality tests are complemented by cointegration analyses and the estimation of a theoretically derived regression model. Bearing in mind methodology difficulties caused by inadequate data, little evidence of a statistically significant relationship between export growth and productivity growth is found. Only in case of the chemicals and wood processing sectors were statistically significant evidence found that export expansion could cause an increase in productivity. Domestic demand expansion was found to be a possibly more significant determinant of productivity increases.

The carbon dioxide emission effects of domestic credit and manufacturing indicators in South Africa

2020 ◽  
Vol 31 (6) ◽  
pp. 1531-1548
Author(s):  
Paul Adjei Kwakwa ◽  
Frank Adusah-Poku
Keyword(s):  
South Africa ◽  
Carbon Dioxide ◽  
Carbon Emissions ◽  
Manufacturing Sector ◽  
Carbon Dioxide Emission ◽  
Manufacturing Industries ◽  
Total Carbon ◽  
Content Type ◽  
Long Run ◽  
Domestic Credit

PurposeCarbon dioxide emission is one of the key causes of global warming and climate change. This study investigates the effects of domestic credit and manufacturing indicators on the emission of carbon dioxide in South Africa.Design/methodology/approachThe paper relied on time series data from 1975 to 2014 and employed regression and variance decomposition methods to analyze the data.FindingsIn the long run, manufacturing output increases total carbon emissions and emissions from solid fuel; manufactures trade reduces carbon emissions and domestic credit reduces emissions from the manufacturing industries and construction. The long-run effect of the changing technical characteristics of the manufacturing sector is sensitive to the estimation technique used. In the short run, however, changing technical characteristics of the manufacturing sector affect the level of carbon emissions. Income increases emissions from manufacturing industries and construction and urbanization increases total carbon emissions.Research limitations/implicationsPolicymakers have to initiate effective policies to promote energy-efficient technologies among manufacturing firms.Originality/valueThe paper examines the effect of manufacturing on carbon dioxide emissions in South Africa. It also examines the possible effect of manufactures trade on carbon emissions. Moreover, the possible effect of the changing characteristics of the manufacturing sector on carbon emissions is investigated.

scholarly journals Malmquist Indexes of Productivity Change in Tunisian Manufacturing Industries

2020 ◽  
Vol 12 (4) ◽  
pp. 1367
Author(s):  
Houyem Zrelli ◽  
Abdullah H. Alsharif ◽  
Iskander Tlili
Keyword(s):  
Productivity Growth ◽  
Manufacturing Industries ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Productivity Change ◽  
Factor Productivity ◽  
Efficiency Change ◽  
Index Method ◽  
Average Growth ◽  
Malmquist Indexes

This research aims to investigate the extent and nature of productivity growth in manufacturing industries using nonparametric frontier techniques. In order to decompose the total factor productivity (TFP) into technical efficiency change and technological change we use the output-oriented Malmquist productivity index method for 34 Tunisian manufacturing industries over the period 2002–2016. The results indicated that TFP has witnessed an average growth of two percent over the period 2002–2016. The productivity growth identified was attributed to the improvements in the technology (or frontier-shift) rather than improvements or changes in the efficiency.

Intellectual capital and bank productivity in emerging markets: evidence from Ghana

2016 ◽  
Vol 54 (3) ◽  
Author(s):  
Abdul Latif Alhassan ◽  
Nicholas Asare
Keyword(s):  
Regression Analysis ◽  
Emerging Markets ◽  
Intellectual Capital ◽  
Productivity Growth ◽  
Design Methodology ◽  
Emerging Market ◽  
Value Added ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Practical Implications

Purpose This paper examines the effect of intellectual capital on bank productivity in an emerging market in Africa. Design/methodology/approach The Malmquist Productivity Index is employed to estimate productivity growth of 18 banks in Ghana from 2003 to 2011 while the Value Added Intellectual Coefficient is used to measure bank intellectual capital performance. The panel-corrected standard errors estimation technique is used to estimate a panel regression model with Malmquist Productivity Index as the dependent variable. Bank market concentration and bank size are controlled for in the regression analysis. Findings We find productivity growth to be largely driven by efficiency changes compared to technological changes. The results from the regression analysis indicate that Value Added Intellectual Coefficient has a positive effect on the productivity of banks in Ghana. We also find human capital efficiency and capital employed efficiency as the components of Value Added Intellectual Coefficient that drive productivity growth in the banking industry. Bank size and industry concentration are also identified as significant drivers of productivity in the market. Practical implications The study’s findings support investments in intellectual capital as a means of improving the performance of banks in emerging markets Originality/value To the best of our knowledge, this is the first study to empirically examine the relationship between intellectual capital and productivity in an emerging banking market in Africa.

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