scholarly journals Industrialization, Servicification And Environmental Kuznets Curve: Non-Linear Panel Regression Analysis

Author(s):  
Fatma Taşdemir

Abstract This paper investigates whether the impact of income on CO2 emissions is invariant to endogenously estimated threshold levels for the economic structure (ES) represented by value added in manufacturing, industry and services sector shares in GDP for a panel of 54 economies over the 1971–2017 period. Our panel smooth transition regression estimation results strongly suggest that the sensitivity of CO2 emissions to income is substantially much higher in countries with higher manufacturing and industry sector shares whilst it is much lower in servicified economies. Given the argument that manufacturing is the engine of growth, this finding may not necessarily downgrade the crucial importance of an industrial policy which places the manufacturing at the core. The empirical findings in this paper suggest that countries may better to design and implement a strategic and systematic industrial policy which promote the use of emission reduction technologies and encourage manufacturing and industrial sectors with lower carbon emissions.

2021 ◽  
Vol 17 ◽  
pp. 47-55
Author(s):  
Olusegun Osho ◽  
Alexander Ehimare Omankhanlen ◽  
Mojisola Fasanmi ◽  
Victoria Akinjare

Considering the possibility of finding a gap and a room for improvement, so much have been written about liquidity and performance. Notwithstanding, the emphasis has been on profitability as a yardstick for performance and little has been done on other areas of performance measurement. The emphasis has also been more on various economic sectors with the exception of the manufacturing industry. This paper intends to look at the impact, if any, of liquidity provision and availability on Nigeria’s manufacturing firm’s performance from the perspective of Economic Value Added (EVA). Economic value-adding is beyond just profitability or liquidity. The firm's value to the stakeholders, its sustainability and long-term values are defined. The study would apply liquidity theories, profitability and the economic value-added theories as it applies to a manufacturing firm in a developing economy like Nigeria. On its methodology, the article data is obtained from the World Bank’s World Development Indicators-WDI and then a regression analysis will be run on the data using the SPSS software and then an analysis of the results of the regression. The last section of the article would conclude and make recommendations from the study outcome and the empirical analysis with respect to the theories.


2021 ◽  
Vol 5 (199) ◽  
pp. 44-53
Author(s):  
M.P. Kalinichenko ◽  

The purpose of the study is to assess the technological transformation of the manufacturing industry in Russia, taking into account the digital factor. The analysis of a set of methods that can be used to assess the impact of technologies on the digital transformation of economic systems (country, industry, region, industrial enterprise) is carried out; the results of a SWOT analysis of the Russian manufacturing industry for the medium term are presented (as an initial stage for the subsequent development of functional strategies of industrial enterprises-digital transformation, innovative, competitive, etc.); the results of a survey of experts on a sample of industrial enterprises of the Arkhangelsk region regarding barriers and prospects of digital transformation of manufacturing enterprises are summarized; an economic and mathematical model of the influence of production factors, including the digital factor, on the value added created by the manufacturing industry is developed. Based on the analysis and modeling of the formation of added value in the manufacturing industry, taking into account the contribution of each of the factors of production, a set of solutions is proposed, on the basis of which it is possible to give a new impetus to accelerate the digital transformation of the industry.


2021 ◽  
Vol 7 (5) ◽  
pp. 2422-2444
Author(s):  
Song Teng ◽  
Liu Yuxin

Objectives: As the world’s largest tobacco producer and seller, China’s rapid development of the tobacco industry is inextricably linked to the promotion and support of the manufacturing industry. The optimization and adjustment of the manufacturing structure (MS) is critical in determining the competitiveness of the manufacturing industry. This study examines the impact of technological innovation and market size on MS optimization in China using provincial data from 2001 to 2016. We obtain the following main results. First, market size and technological innovation are important drivers in optimizing MS. Technological innovation increases productivity and results in the redistribution of production factors across industrial sectors, altering the industrial structure. The market size facilitates labor division, which boosts productivity. Second, institutional innovation is critical for optimizing MS. It strengthens the impact of technological innovation and market size on MS rationalization. Furthermore, the study’s findings are robust to a variety of estimation techniques, several alternative proxies for core explanatory variables, and a long list of control variables. An important implication of the study’s findings is that the Chinese government should implement effective institutional reforms to accelerate China’s manufacturing industry’s development. China’s tobacco industry, in particular, will achieve higher quality development based on the transformation and upgrading of the overall manufacturing industry.


2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Gerhardus Van Zyl

Orientation: This article is part of an ongoing research project on various aspects of employee productivity in the South African workplace.Research purpose: The aim of this article is to determine firm-based employee productivity impacts as a result of employee remuneration inequalities (excess-remuneration and under-remuneration) in the South African workplace.Motivation for the study: The study focuses on understanding the impact and magnitude of employee remuneration inequalities on employee productivity in a unionised South African workplace.Research design: The article adopts two distinct estimation models. The aim of the additive multivariate linear estimation model is to determine the sign and the significance of the impact of both under- and excess-remuneration levels on employee productivity when employee characteristics such as levels of training, work experience and managerial involvement are considered. The second model is a fixed-effect panel data estimation where the full sample set of the relevant firm-based data is used. The aim of the panel data estimations is to estimate the robustness of the additive multivariate linear estimates. The manufacturing industry of Gauteng has been chosen as the case study, given the importance of this industry, in the gross geographical product of Gauteng province and the availability of firm-based data.Main findings: Estimation results indicate a strong and significant negative impact of under-remuneration on employee productivity levels. Excess-remuneration levels have a small positive impact on employee productivity levels.Practical/managerial implications: The estimations indicate the necessity to eliminate remuneration inequalities and opt for equalised remuneration structures for similar occupations in the market to enhance employee productivity levels.Contribution/value-added: The study contributes to our understanding of the impact of remuneration inequalities for similar occupations on employee productivity.


2021 ◽  
Author(s):  
Celil Aydin ◽  
Ömer ESEN ◽  
Recai AYDIN

Abstract This study empirically analyses the nonlinear impact of economic activities on ecological balance indicators that estimate the balance between economies' pressure on nature and the biologically productive resources areas affected by human activity and the earth's ecological carrying capacity. In measuring this balance, ecological balance sheet indicators are divided into four sub-components; cropland, forest area, fishing grounds and grazing land. The sample of the study consists of the EU-15 countries over the period 1995–2016. In order to render the study robust with respect to econometric issues like potential endogeneity bias, cross-country heterogeneity, time instability and nonlinearity, the study adopted panel smooth transition regression (PSTR) method. The empirical findings reveal that the economic activities carried out up to a certain threshold level do not force the ecological balance as nature can compensate for the resulting externalities, but beyond this threshold, waste accumulation and pollution exceed nature’s capacity to absorb. Consequently, the results of the study are not in line with the expectation of the Environmental Kuznets Curve (EKC) hypothesis with inverted U-shaped curve, but indicate a need for implementation of active environmental policies for the improvement of the environment.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Bhushan Praveen Jangam ◽  
Badri Narayan Rath

Purpose This paper aims to examine the relationship between global value chains (GVCs) and domestic value-added content (DVA) in a panel of 58 countries for the period 2005–2015. Design/methodology/approach First, the authors quantify the refined measures of GVC linkages by using the Borin and Mancini (2019) decomposition technique. Second, the authors apply the feasible generalised least squares method to test the relationship between GVCs and DVA empirically. Findings First, the authors find that GVC links are crucial to the enhancement of DVA. Second, a study at the sectoral level reveals that GVC links in the primary sector raise DVA whilst reducing DVA in the services sector. Third, the authors find that only upstream activities enhance value-added content. Fourth, the authors note the augmenting role played by national policies in mediating the gains associated with GVCs. Finally, the authors note that the outcomes associated with GVCs are consistent when the sample of countries is divided into groups based on income. Practical implications The results lead us to urge policymakers to promote greater integration of business activities into GVCs to reap their benefits. Originality/value This paper contributes to the research on the impact of GVCs on DVA by emphasising the significance of the types of GVC activities and policies that improve DVA.


2019 ◽  
Vol 10 (9) ◽  
pp. 795-810
Author(s):  
Riccardo Gallo ◽  

This paper offers an analysis of the main industrial policy measures adopted by the three Italian governments following each other on from 2013. The first focused its industrial policy on boosting the creation of innovative start-ups and fostering small-scale enterprises in order to acquire new equipment. The second of these governments stimulated public aggregate demand and passed the reform known as the Jobs Act (2014). The industry’s capacity utilization rate rose in 2016, as did the value added of the companies to their net revenues. In 2017, the third government initiated a project aimed at driving the Italian economy into the Fourth Industrial Revolution. Up to now there have indeed been positive signals from the viewpoint of capital expenditure on plants and equipment, but not yet from that of knowledge and training for new jobs.


2017 ◽  
Vol 10 (2) ◽  
pp. 388 ◽  
Author(s):  
Faris Alshubiri

Purpose: The purpose of this study is to examine green logistic activities by three axes (financial economic, social and environment activities) and how these activities affect on sustainable monetary expansion indicators as an evidence of Sultanate of Oman.Design/methodology/approach: This study began by definition elements of logistic green and how evolution of this concept in recent years. This concept analyzed after survey of previous studies on green logistic. The independent variables of green logistic  are includes of three components of financial economic , social and environment and applies these components to clarify the impact on expansionary monetary policy indicators ( broad , narrow and reserve money ) as a important signals  in determining a country's economy. This study used data published in statistical annual report of central bank of Oman as representative of country economic of sultanate of Oman from the period 2008 to 2015. Findings: The results found two variables of government support to electricity sector (GSE) and subsidy on soft loans to private sector and housing (SSLPH) based on environment activities are statistical significant 1% and 5%. Only one variable of transport and communication (TC) in financial economic activates is statistical significant at 1% and 5% , but all variables community, social and personal (CSP) , cultural and religious affairs (CRA) and social security and welfare (SSW) in social activities are statistical significant at 1% 5% and 10% , finally , also the multiple regression test run of all variables of green logistics activities and each monetary expansion indicators and found there are a statistical significant at 1% and 5%, .The study recommends that should be attention with financial economic activities as a quantitative standard contributes to build the green logistic by diagnosed the priorities and existing economic and financial system that contributes of  sustainable development system in the country's economy also activating the industrial sectors by reducing operating costs and improving the quality of service provided to customers as an indicator of social activities to building green logistic and increase corporate awareness about an environmental variables and behavior of consumers to establish financial and economic system based on green logistical concept. Research limitations The available data in statistical annual report of Oman is limited, which limited of the period and all variables of the study. Practical implications: The management of firms should be adopting of green logistic operations by comparing the results of these concepts with competitors in the market for concentrated position of these firms in the market. Also this concept of green logistic helps firms to build an intellectual model that’s contributes to enhance the value-added. The results of this study enhance the stability of monastery policy indicators that’s reflecting of growth economic. Social implications: Green logistic is presenting a behavior role on the firm’s and country performance and determines the trends and attitudes of future growth of firms especially in environment indicator. Originality/value: This study aims to analysis the green logistic in the financial economic, social and environment that’s reflect more variations especially as they affected by changes of global markets, particularly with respect to the oil price, which is the main source of revenue for the Sultanate of Oman as the green logistic is one of the modern concepts is influencing the construction of corporate strategies to build economic plans of the country. Also this study has supplied researcher's conceptual framework to explain the green logistic in preparation for many future studies to examine the elements of green logistic.


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