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.

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 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 The Impact of Globalization on Establishment-Level Employment Dynamics in Japan

2015 ◽  
Vol 14 (2) ◽  
pp. 41-65 ◽  
Author(s):  
Naomi Kodama ◽  
Tomohiko Inui
Keyword(s):  
Multinational Enterprises ◽  
Census Data ◽  
Employment Growth ◽  
Job Creation ◽  
Manufacturing Firms ◽  
Employment Dynamics ◽  
Japanese Firms ◽  
Economic Census ◽  
The Impact ◽  
Overseas Subsidiaries

This study applies Davis, Haltiwanger, and Schuh's method ( 1996 ) to measure job creation/destruction rates of establishments in manufacturing firms using Japanese Economic Census data in 2006 and 2009. Results show that the decrease in net domestic employment arises mainly from firms without subsidiary companies, and non-expanding multinational enterprises. Domestic employment increases when the number of overseas subsidiaries increases. Both job creation/destruction rates of multinational enterprises are high, and the globalization of Japanese firms accelerates de-industrialization in Japan. The job creation and the net employment growth rates of establishments belonging to small-sized firms are lower than those in large-sized firms.

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 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 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.

scholarly journals Financial Leverage and Financial Performance: Empirical Evidence From Listed Textile Industry of Pakistan

2018 ◽  
Vol 8 (4) ◽  
pp. 457
Author(s):  
Laila Javeed ◽  
Rehana Tabassam
Keyword(s):  
Financial Performance ◽  
Textile Industry ◽  
Manufacturing Industry ◽  
Negative Relationship ◽  
Financial Leverage ◽  
Organizational Capability ◽  
Return On Equity ◽  
Financial Condition ◽  
The Impact ◽  
Textile Sector

The textile sector in Pakistan is the largest manufacturing industry and recognizable model of resistance economy. Over centuries, textile sector has been the country’s backbone making available sources of occupation and export returns. Generally, financial leverage is the organizational capability of using borrowed money. It can be described as a fraction, to which a company uses fixed income securities such as debt and equity. The objective of the current study is measuring the impact of financial leverage on firm’s financial condition. It is essential to know whether a positive or negative relationship exists between two terms, financial leverage and financial performance of the textile industry; evidence from the listed firms of Pakistani textile industry from 2007-2016. Pooled regression analysis technique shows that there is positive relationship between financial leverage and financial performance (Returns on Assets, Sales Growth and Net Profit Margin). On the other hand, negative relationship exists between Return on Equity ratio. It is confirmed that the organizations have more profitability, might enhance the financial performance having more levels of financial leverage. This study also gives evidence by estimating different facts. It exposes that the main elements of the textile industry in Pakistan enhance their financial performance by employing the financial leverage strategy and can attain a sustainable future growth by making decisions about the selection of their optimum capital structure.

Assessment of TOC and TPM in Indian SME Auto Manufacturing Industries

2021 ◽  
pp. 2516600X2110346
Author(s):  
Nagesh Tarte ◽  
Sunil Doke
Keyword(s):  
Continuous Improvement ◽  
Structural Equation ◽  
Manufacturing Industry ◽  
Equation Model ◽  
Manufacturing Industries ◽  
Operational Performance ◽  
Theory Of Constraints ◽  
Operating Expense ◽  
Total Participation ◽  
The Impact

The purpose of this article is to investigate the impact of theory of constraints (TOC) and total productive maintenance (TPM) practices on operational performance, and their interlinkage between each other. Constructs that are critical to auto manufacturer’s operational performance have been identified with the help of literature and experts from industry. The impact of TOC and TPM on operational performance has been evaluated. Similarly, impact of competitiveness on operational performance has been evaluated. Further, alternate models are tested and evaluated through structural equation model. It was observed during testing of alternate models that TOC and TPM have a direct impact on operational performance. However, TOC and TPM practices also directly impact overall operational performance, which in turn, influences competitiveness. In comparison of alternate models, the model in which TOC and TPM affect overall equipment efficiency (OEE), human total participation and commitment (HTPC), throughput (T), inventory (I), and operating expense (OE) practices and these further affect the operational performance, is found most appropriate. This study provides some useful implications from industry point of view. TOC and TPM practices are crucial to auto manufacturing industries. TOC and TPM are the core of attaining sustenance in crucial factors, which will have greater impact to achieve operational performance. Overall equipment efficiency, Human total participation, T, I, and operating expense practices are driven by TOC and TPM practices. This crucial factor linkage helps to achieve the desired operation performance. There are very limited studies that have considered both the continuous improvement practices together to achieve better operational performance. In auto manufacturing industry, both TOC and TPM are crucial continuous improvement practices for any organization to drive its growth.

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