scholarly journals The Effect of Environmental Performance on Employment: Evidence from China’s Manufacturing Industries

2019 ◽  
Vol 16 (12) ◽  
pp. 2232 ◽  
Author(s):  
Wei Shan ◽  
Jingyi Wang
Keyword(s):  
Environmental Performance ◽  
Manufacturing Industry ◽  
Early Stage ◽  
Correlation Effect ◽  
Economic Benefits ◽  
Manufacturing Industries ◽  
Practical Significance ◽  
Production Scale ◽  
Vector Autoregressive ◽  
The Impact

This research aims to explore the interaction between environmental performance and employment China’s manufacturing industries. Based on the environmental performance of 32 industries in China’s manufacturing industry during 2006–2015, a panel vector autoregressive model was constructed to study the interaction between industry output and employment in clean industries and dirty industries. The dynamic impact and internal transmission mechanism between environmental performance is analyzed. The study found that in the early stage, due to the reduction of production scale, there was a weak and short-term negative correlation effect on employment, and the mutual promotion relationship between economic benefits and employment was unsustainable. In return, employment affects environmental performance, but the effect differs due to the different forms of environmental performance. For dirty industries, the impact of environmental performance on employment through technical effects is more significant and, thus, a win–win situation of ecological environment and employment stability will be achieved. This research has practical significance regarding how to scientifically and effectively carry out environmental regulation and green management.

scholarly journals Environmental Regulation Intensity, Carbon Footprint and Green Total Factor Productivity of Manufacturing Industries

2022 ◽  
Vol 19 (1) ◽  
pp. 553
Author(s):  
Lei Wang ◽  
Yu Yan
Keyword(s):  
Environmental Regulation ◽  
Total Factor Productivity ◽  
Carbon Footprint ◽  
Manufacturing Industry ◽  
Economic Benefits ◽  
Manufacturing Industries ◽  
Green Economy ◽  
Chinese Government ◽  
Factor Productivity ◽  
The Impact

In terms of the development of the manufacturing industry, the Chinese government has carried out environmental regulations and set up production standards for related industries. This is an environmentally-friendly and economic action, which is also in line with the requirements of building a green economy for China. Meanwhile, whether from the micro regulatory measures or the macro government policies, carbon emission is an inevitable problem in the study of environmental problems. This paper will explore the impact of environmental regulation on the green economy based on carbon emissions and study the optimal environment regulation intensity that relates to a direct carbon footprint under the maximum green economic benefits. A SBM-MALMQUIST model is established to measure the green total factor productivity according to 27 Chinese manufacturing industries through the MAXDEA software. It is found that the intensity of environmental regulation has a significant impact on green total factor productivity, and direct carbon footprint also exhibits a partial intermediary effect, participating in the mechanism that affects green total factor productivity. Combined with the industrial characteristics and the above research results, this paper puts forward the adjustment strategy of reasonable environmental regulation for the manufacturing industry, which conforms to the national policy guidance, and will be beneficial in promoting the economic development of the green manufacturing industry.

scholarly journals Pure Versus Hybrid Competitive Strategy: Evidence from Tunisian Manufacturing Industries

2021 ◽  
Vol 17 (7) ◽  
pp. 1
Author(s):  
Asma Zgarni ◽  
Lamia Gharbi
Keyword(s):  
Competitive Strategy ◽  
Manufacturing Industry ◽  
Manufacturing Industries ◽  
Internal Factors ◽  
Strategic Capabilities ◽  
The Impact ◽  
Competitive Forces ◽  
Pure Versus

This article proposes to decide on the impact of external and internal factors (competitive forces and strategic capabilities) on strategic competitive choices (pure or hybrid). Using a sample of Tunisian companies operating in the manufacturing industry, the results show that face to the competition’ intensity, companies opt for competitive hybrid strategies at the expense of pure ones only when they have strong combined strategic capabilities. However, when they have a stock of capabilities less rich and less diversified, they have interest to pursue a pure competitive strategy. Moreover, the study shows that the pure competitive strategy differs according to the nature of the strategic capabilities held.

scholarly journals Factors Influencing Green Performance in Manufacturing Industries

2019 ◽  
Vol 10 (6) ◽  
pp. 159
Author(s):  
Md. Harun Ur Rashid ◽  
Shah Asadullah Mohd. Zobair ◽  
Md. Jafar Shadek ◽  
Md. Ariful Hoque ◽  
Afzal Ahmad
Keyword(s):  
Environmental Performance ◽  
Manufacturing Industry ◽  
Social Performance ◽  
Influential Factors ◽  
Manufacturing Industries ◽  
Operational Performance ◽  
Equation Modeling ◽  
Valuable Insight ◽  
Significant Relation ◽  
Green Performance

The study aims to examine the factors that influence green performance in the manufacturing industry as it has become a burning topic in recent times.Structural Equation Modeling (SEM) has been used as a tool to analyze the data collected from different management levels of employees from the manufacturing industries in Bangladesh. The study shows that environmental performance (ENP) is the most significant factor affecting green performance (GP) in the manufacturing industry. Moreover, economic performance (ECP), operational performance (OP), social performance (SP) and corporate governance performance (CGP) are also significant influential factors of green performance. However, the study found no significant relation between innovation performance (IP) and GP. The findings of this study provide policymakers as well as the industries’ authority valuable insight and help take necessary actions regarding green performance.

OUTSOURCING AND FRAGMENTATION IN SINGAPORE'S MANUFACTURING INDUSTRY

2008 ◽  
Vol 53 (03) ◽  
pp. 539-557 ◽  
Author(s):  
SHANDRE M. THANGAVELU ◽  
MUN HENG TOH ◽  
KWAN KEE NG
Keyword(s):  
Manufacturing Industry ◽  
Positive Impact ◽  
Manufacturing Sector ◽  
Manufacturing Industries ◽  
It Services ◽  
Business Services ◽  
Cross Border ◽  
Definition Of ◽  
Industrial Level ◽  
The Impact

This paper studies the impact of outsourcing on productive performance of manufacturing industries in Singapore. The paper develops an outsourcing measure based on the narrow definition of intermediate imports given by Feenstra and Hanson (1996, 1999). Based on the input-output tables, the study uses 5-digit industrial-level classifications to measure the impact of outsourcing on productivity of the manufacturing industries in Singapore from 1995–2004. The outsourcing measure is further decomposed by import of services, import of IT services and import of business services. This decomposition allows us to study the impact of outsourcing of services in addition to the cross-border fragmentation of products and components. The results suggest strong positive impact of cross-border sourcing on the productivity of the manufacturing sector. The decomposition of outsourcing measure indicates that the manufacturing industries are more involved in cross-border sourcing of services, particularly in business services.

Impact of TPM implementation on Indian manufacturing industry

2014 ◽  
Vol 63 (1) ◽  
pp. 44-56 ◽  
Author(s):  
Jitendra Kumar ◽  
Vimlesh Kumar Soni ◽  
Geeta Agnihotri
Keyword(s):  
Organizational Performance ◽  
Manufacturing Industry ◽  
Performance Monitoring ◽  
Manufacturing Industries ◽  
Research Approach ◽  
Content Type ◽  
Manufacturing Performance ◽  
The Common ◽  
Manufacturing Productivity ◽  
The Impact

Purpose – The purpose of this paper is to identify the relationship between TPM programme and manufacturing performance in Indian manufacturing industries; to discern the benefits obtained from TPM implementation; to identify common indicators; and to explore the common expectation while TPM implementation. Design/methodology/approach – In this paper acceptability and implementation of TPM programme in Indian manufacturing industry have been elaborated to ascertain the tangible and intangible benefits accrued as a result of successful TPM implementation. A semi-structured questionnaire survey approach has been adopted for the justification of TPM implementation and benefits gained by it in Indian context. Survey has covered mainly automobile and machinery sector throughout India. A total of 57 filled responses have been received and analysed to find the impact of TPM programme on manufacturing productivity. Findings – The paper establishes the impact of successful TPM implementation on manufacturing performance. TPM initiatives have shown marked improvement in the equipment availability, performance and produced quality and have also brought appreciable improvement in other manufacturing functions in the organizations. It has been observed that TPM deployment contributes to improve the manufacturing productivity, quality, delivery, safety, morale, ensuring the cost effectiveness of the manufacturing function within the organization. The paper also indicates that overall equipment effectiveness (OEE) can be used for performance improvement without TPM implementation. Research limitations/implications – Because of the chosen research approach, the research results may lack generalizability. Therefore, researchers are encouraged to test the proposed propositions further. Practical implications – This paper highlights the contribution of TPM programme and OEE measure to ensure enhanced manufacturing productivity. The benefits gained by TPM implementation in selected Indian manufacturing industries have been highlighted, that could be genuine source of motivation to other manufacturing organizations to go in for TPM programme. Originality/value – The present study encompasses systematic identification of factors affecting overall organizational performance and the common expectations of the firms through implementation of TPM programme. TPM initiatives provide regular OEE measure, performance monitoring and improvement, and developing guidelines for achieving enhanced manufacturing productivity.

scholarly journals Organizational Culture and Environmental Performance

2018 ◽  
Vol 10 (8) ◽  
pp. 2690 ◽  
Author(s):  
Hussain Bakhsh Magsi ◽  
Tze Ong ◽  
Jo Ho ◽  
Ahmad Sheikh Hassan
Keyword(s):  
Organizational Culture ◽  
Theoretical Model ◽  
Environmental Performance ◽  
Latent Variable ◽  
Manufacturing Industry ◽  
Manufacturing Firms ◽  
Strong Impact ◽  
Developing Economy ◽  
Environmental Practices ◽  
The Impact

Because it has become more and more urgent for organizations to implement environmental strategies with the support of organizational culture, this study considers it necessary to conduct an empirical study to examine the impact of organizational culture on environmental performance. Synthesizing the perspectives of organizational culture and environmental performance, we applied a theoretical model in the manufacturing industry of Pakistan linking an organizational culture that supports environmental practices for better environmental performance. Based on a survey of 314 manufacturing firms, using Smart-PLS, the current study found that adaptability, mission and consistency positively affect environmental performance. However, involvement does not have an effect on environmental performance. Additionally, organizational culture as a latent variable has a strong impact on environmental performance. The study is one of the first, to the author’s knowledge that links OC and EP in a developing economy, in this case Pakistan.

scholarly journals MANUFACTURING OF THE SIBERIAN FEDERAL DISTRICT REGIONS IN THE CONTEXT OF ECONOMIC SAFETY

2018 ◽  
Vol 15 (5) ◽  
pp. 812-823
Author(s):  
M. A. Miller
Keyword(s):  
Manufacturing Industry ◽  
Federal District ◽  
Economic Security ◽  
Point Of View ◽  
Manufacturing Industries ◽  
Siberian Federal District ◽  
Economic Stability ◽  
Scientific Methods ◽  
The Impact

Introduction.The article is devoted to the study of the regional manufacturing industry of the Siberian Federal District from the standpoint of economic security. The purpose of the article is to analyze the manufacturing industries on the basis of the proposed indicators group and in the context of ensuring economic security of the Siberian federal district.Materials and methods.The scientific methods of logic, comparison, as well as the method of the statistical materials’ analysis are used in the research. The analysis of the manufacturing industry was carried out in two groups of indicators:1)            indicators determining the socio-economic importance of the manufacturing industry for the region;2)            indicators of the export potential of the regional manufacturing industries, contributing to the development of the region.Results.The main results of the study are in identifying the regions of the Siberian Federal District, in which the manufacturing industry is the most important component in supporting the development of the region and maintaining its economic security. Moreover, special attention is paid to the contribution of manufacturing industries to the socio-economic stability of the Omsk region.The paper touches upon the theoretical and methodological provisions related to the study of the role of manufacturing industry in the development of the country and its regions and in improvement of methods for assessing regional economic security. The author proposes the group of indicators that allow more accurately reveal the impact of manufacturing industry on the socio-economic condition of the region.Discussion and conclusion. The conducted research allows supplementing the existing scientific directions with the approach, which clarifies the assessment of the manufacturing industry with an analysis of its export potential indicators, in order to expand the comprehensive understanding of the most problematic points of regional development from economic security point of view.

The impact of state-owned enterprises on the employment growth of manufacturing in Chinese cities: Evidence from economic census microdata

Urban Studies ◽  
2020 ◽  
pp. 004209802091215
Author(s):  
Liang Zheng
Keyword(s):  
Manufacturing Industry ◽  
Employment Growth ◽  
Knowledge Spillovers ◽  
Negative Relationship ◽  
Manufacturing Industries ◽  
Chinese Cities ◽  
Economic Census ◽  
The Impact ◽  
New Evidence ◽  
Privately Owned

This article utilises economic census microdata to examine the impact of state-owned enterprises (SOEs) on the employment growth of manufacturing industries in Chinese cities between 2004 and 2008. The main findings show that the presence of SOEs inhibits employment growth in the manufacturing industry. Using the historical landscape of SOEs as an instrumental variable, our findings underscore that the overall impact of SOEs remains negative. This study then explores three potential mechanisms underlying this negative relationship. First, SOEs appear to have no significant impact on knowledge spillovers in their own industry. Second, SOEs tend to hinder the entry of new privately-owned enterprises (POEs) into the marketplace. Third, SOEs are generally less productive than POEs. The article also provides new evidence about dynamic externalities theory: the employment growth rate of manufacturing industries is higher in cities, with a substantial number of rivals in their own industry.

The Model and Optimization for the Discrete Operations Workshop Layout Based on Multi-Agent Theory

2011 ◽  
Vol 130-134 ◽  
pp. 3888-3892
Author(s):  
Ya Liang Wang ◽  
Yong Chen
Keyword(s):  
Mathematical Model ◽  
Objective Function ◽  
Manufacturing Industry ◽  
Production Efficiency ◽  
Practical Significance ◽  
Impact Factors ◽  
Agent Theory ◽  
Multi Agent ◽  
The Impact ◽  
Manufacturing Mode

The original equipment manufacturing mode of the multi-species, multi-process and multi-unit is the main mode in Zhejiang manufacturing industry, the workshop layout affect directly the production efficiency and cost. The paper analyzed the impact factors of discrete operations workshop layout, established the Multi-Agent mathematical model of discrete operations workshop layout by using Multi-Agent theory, put forward the objective function of the workshop layout, and carried out empirical study by typical enterprises. By analyzing raw data of ZJ manufacturing enterprise, brought forward two layout programs based on mathematical model of Multi-Agent, evaluated the benefits and chose the better one of the two programs according to the objective function. The results after the implementation showed that the logistics measuring pitch of the program after selection is small, and the workshop area utilization is higher, and the equipment cost is reasonable. The model and optimization technology of discrete operations workshop layout based on Multi-Agent theory has important practical significance and good feasibility.

Do green policies build green reputations?

2016 ◽  
Vol 7 (2) ◽  
pp. 226-246 ◽  
Author(s):  
Dina Abdelzaher ◽  
William Newburry
Keyword(s):  
Environmental Management ◽  
Multinational Corporations ◽  
Environmental Performance ◽  
Manufacturing Industry ◽  
Secondary Data ◽  
Environmentally Conscious ◽  
Content Type ◽  
Green Policy ◽  
Environmental Footprints ◽  
The Impact

Purpose Today, we are witnessing a wave of multinational corporations who seek to be recognized for being environmentally conscious, which can become a source of competitive advantage. But how many of them actually have the policies in place to achieve this? Drawing from the strategy literature, this paper aims to argue that firms who seek to achieve green reputation must align their policies in a way to achieve this goal. Design/methodology/approach This paper presents a framework that discusses the key elements of the corporate environmental management process, and then empirically examines the impact of green policy on green reputation among Fortune 500 US firms. Findings The findings support a positive significant relationship between green policy and green reputation, with environmental performance to partially mediate this relationship. Insights from this study highlight the importance of focusing on company-level green policy for building green reputation as well as for discriminating across the flux of corporations that all claim to be environmentally conscious or green. Research limitations/implications First, the study is limited by the unavailability of environmental performance data at the subsidiary level, which, if incorporated, would yield a better specified model. Second, to strengthen the causal relationships examined in the models, time-series analyses would likely be useful. Third, other informal measures that could be incorporated can include other forms of corporate verbal communications, which include 10K reports as well as shareholder letters. Practical implications Given the increased flux of firms that are racing to be known as environmentally conscious firms, one can benefit from the use of an internal mechanism that can discriminate between rhetoric and action. Therefore, when differentiating between firms’ environmental consciousness, investors and key stakeholders should investigate more internal environmental firm policies, because they are likely to be more indicative of their actions. Originality/value This study uses a quantified assessment of companies’ actual environmental footprints, drawing from a cross-sector sample within the manufacturing industry. The secondary data used in this study are combined from a number of prominent data sources in corporate social responsibility/environmental management literature.

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