scholarly journals Capital Enrichment, Innovation Capability and Environmental Pollution Effect: Evidence from China’s Manufacturing Industry

2020 ◽  
Vol 19 (3) ◽  
pp. 1141-1148
Author(s):  
Fengju Xu ◽  
Lina Ma ◽  
Xiaoying Li ◽  
Najaf Iqbal
Keyword(s):  
Environmental Pollution ◽  
Manufacturing Industry ◽  
Innovation Capability ◽  
Pollution Effect

scholarly journals Modelling the continuous innovation capability enablers in Indonesia’s manufacturing industry

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Benny Lianto ◽  
Muhammad Dachyar ◽  
Tresna Priyana Soemardi
Keyword(s):  
Information Technology ◽  
Manufacturing Industry ◽  
Innovation Capability ◽  
Business Managers ◽  
Screening Process ◽  
Content Type ◽  
Continuous Innovation ◽  
Fuzzy Delphi ◽  
Manufacturing Sectors ◽  
Power And Dependence

Purpose The purpose of this paper is to identify and screen continuous innovation capability enablers (CICEs) in Indonesia’s manufacturing sectors, develop a relationship among these enablers and determine their driving power and dependence power in the sector. Design/methodology/approach The initial CICEs identification process is based on a literature review, while a fuzzy Delphi method (FDM) was used for the screening process of CICEs. Total interpretive structural modelling (TISM) was used to develop contextual relationships among various CICEs. The results of the TISM are used as an input for the matrix of cross-impact multiplications applied to classification (MICMAC) to classify the driving power and dependence powers of the CICEs. Findings This paper selected 16 CICEs classified in seven dimensions. TISM results and MICMAC analysis show that leadership, as well as climate and culture, are enablers with the highest driving power and lowest dependence powers; followed by information technology. The results of this study indicate that efforts to continuously develop innovation capabilities in the Indonesian manufacturing industries are strongly influenced by their leadership capability, climate and culture, also information technology-related capability. Practical implications The framework assessed in this study provides business managers and policymakers to obtain a bigger picture in developing policies with evidence-based strategy and priority in regard to continuous innovation capability. Originality/value The results will be useful for business managers and policymakers to understand the relationship between CICEs and identify key CICEs in Indonesia’s manufacturing sectors, which were previously non-existent.

scholarly journals Enhancing Service Quality through Innovation Capabilities and Work Productivity

2020 ◽  
pp. 123-133
Author(s):  
Ipang Sasono ◽  
Dewiana Novitasari
Keyword(s):  
Quality Of Service ◽  
Service Quality ◽  
Manufacturing Industry ◽  
Industrial Revolution ◽  
Work Productivity ◽  
Positive Influence ◽  
Innovation Capability ◽  
Sample Collection ◽  
Significant Positive Influence

This research is the empirical study of one of the manufacturing industries in Tangerang. The main purpose of this research analyses the influence of innovation capability and work productivity towards the service quality of the workers to customers. Sample collection of this research is done by questionnaires with random sampling method spread to all permanent workers in the industry. The total samples that are valid have the amount of 115 samples. Data procession in this research is done by SEM method with a software called SmartPLS 3.0. The result of the study proved that innovation capabilities and work productivity of a worker have a significant positive influence on the quality of service. Likewise, innovation capability has a significant positive influence on work productivity. This research suggests a model improve the quality of service of a manufacturing industry through the improvement of innovation capability and work productivity of the workers. This research could pave the way to improve worker’s and company’s readiness to face the era of industrial revolution 4.0. Keywords: Innovation capability, quality of service, work productivity.

scholarly journals Effects of Regional Innovation Capability on the Green Technology Efficiency of China’s Manufacturing Industry: Evidence from Listed Companies

Energies ◽  
2020 ◽  
Vol 13 (20) ◽  
pp. 5467
Author(s):  
Yu Fu ◽  
Agus Supriyadi ◽  
Tao Wang ◽  
Luwei Wang ◽  
Giuseppe T. Cirella
Keyword(s):  
Manufacturing Industry ◽  
Academic Research ◽  
Green Technology ◽  
Eastern Region ◽  
Innovation Capability ◽  
Manufacturing Companies ◽  
Regional Innovation ◽  
Manufacturing Efficiency ◽  
Made In China

The purpose of the “Made in China 2025” strategy is to enhance the innovation capabilities of the local manufacturing industry and achieve green and sustainable development. The role of innovation in the development of manufacturing is a hotspot in academic research, though only a few studies have analyzed the interaction between green technology manufacturing efficiency and its external innovation capabilities. This study used the 2011–2017 Chinese A-share listed manufacturing companies as samples to discuss whether regional innovation capabilities can promote the improvement of green technology manufacturing efficiency. The results showed that a significant spatial correlation between regional innovation capability and green technology manufacturing efficiency was prevalent within spatial heterogeneous bounds. In addition, regional innovation capability directly promoted the effective manufacturing of green technology efficiency, which was strongest in the eastern region of the country. Regional innovation capabilities also had a positive effect on human capital and government revenue, thereby further enhancing the green technology efficiency of manufacturing through the intermediary effect. Based on the above conclusions, some policy recommendations are put forward to facilitate the improvement of China’s regional innovation capabilities in terms of green technology efficiency in manufacturing.

scholarly journals Environmental Pollution Effects of Regional Industrial Transfer Illustrated with Jiangsu, China

2021 ◽  
Vol 13 (21) ◽  
pp. 12128
Author(s):  
Guangxiong Mao ◽  
Wei Jin ◽  
Ying Zhu ◽  
Yanjun Mao ◽  
Wei-Ling Hsu ◽  
...  
Keyword(s):  
Environmental Pollution ◽  
Manufacturing Industry ◽  
Time Series Data ◽  
Estimation Method ◽  
Raw Material ◽  
Series Data ◽  
Pollution Load ◽  
Pollution Effects ◽  
Industrial Transfer ◽  
Southern Jiangsu

Industrial transfer is reshaping the geographic layout of industries and facilitating the transfer and spread of environmental pollution. This study employs the pollution transfer estimation method to discuss the environmental effect of industrial transfer. By compiling statistics on industries of a certain scale according to time-series data, the researchers compute the pollution load generated by industrial transfer and the difference in pollution emissions for each region and industry. Through the constructed evaluation model, the empirical scope is Jiangsu, which is the most developed industry in China. The results reveal that there is an apparent spatial hierarchy among the transferred industries in Jiangsu. Most industries transfer from the southern Jiangsu region toward the central Jiangsu and northern Jiangsu regions. Environmental pollution is redistributed among prefecture-level cities because of intercity industrial transfer; the spatial characteristics of pollution exhibit a notable hierarchical pattern. Furthermore, the transferred pollution load differs considerably between industries. The textile industry and chemical raw material and chemical product industry are mainly transferred toward the Central Jiangsu and Northern Jiangsu regions, whereas the papermaking and paper product manufacturing industry is primarily redistributed to the Southern Jiangsu region. The empirical results can serve as a reference for analyzing the environmental pollution effects of regional industrial transfer.

scholarly journals Empirical Analysis on Environmental Regulation Performance Measurement in Manufacturing Industry: A Case Study of Chongqing, China

2020 ◽  
Vol 5 (1) ◽  
pp. 25-34
Author(s):  
Pengfei Zhou ◽  
Qiao Fan ◽  
Jia Zhu
Keyword(s):  
Performance Measurement ◽  
Environmental Pollution ◽  
Environmental Regulation ◽  
Empirical Analysis ◽  
Manufacturing Industry ◽  
Manufacturing Industries ◽  
Average Efficiency ◽  
Overall Performance ◽  
The Government

AbstractIn recent years, China’s environmental pollution is serious, manufacturing industry has become one of the main targets of government environmental regulation. This paper uses the SBM model to calculate efficiency value of 29 manufacturing industries from 2008 to 2017. The results show that the overall performance of environmental regulation in manufacturing industry is high (the average efficiency value is 0.7806), but it shows a declining trend. The efficiency of environmental regulation also varies widely. The government should consider focusing on the 11 industries with low SBM value in the next step to improve the performance of environmental regulation.

Allergic respiratory diseases and environmental pollution: experience in the printing/paper-manufacturing industry

Allergy ◽  
1996 ◽  
Vol 51 (11) ◽  
pp. 833-836 ◽  
Author(s):  
G. Papa ◽  
D. Quaratino ◽  
M. Di Fonso ◽  
F. Giuffreda ◽  
A. Romano ◽  
...  
Keyword(s):  
Environmental Pollution ◽  
Respiratory Diseases ◽  
Manufacturing Industry ◽  
Paper Manufacturing ◽  
Printing Paper

Structure and Support of Ecological Chain in Manufacturing Industry Based on Green Re-Manufacturing

2011 ◽  
Vol 101-102 ◽  
pp. 1059-1062
Author(s):  
Xiao Min Cheng ◽  
Zhong Zhao ◽  
Zi Qing Ye
Keyword(s):  
Environmental Pollution ◽  
Manufacturing Industry ◽  
Life Cycles ◽  
Technology System ◽  
Industry Chain ◽  
Use Of Resources ◽  
Industrial Chain ◽  
Green Development ◽  
Chain Link ◽  
Set Up

The shortage of resources and environmental pollution are serious problems that we are facing currently. To form a Green re-manufacturing industry chain, we need to build a running mode of “1+X”. “1” means to establish a Green re-manufacturing industry chain, and energetically develop the green development model, which is a re-manufacturing technology based on “symbiosis coupling and extending the industrial chain link”. It also means to achieve green circulation of multi-life cycles, initially set up logistics alliances of re-manufacturing, make maximum use of resources, and reduce the environmental pollution as well. “X” means relevant safeguard mechanisms, which refers to technology, system, supervision, incentive, and so on.

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