scholarly journals Dynamic Green Growth Assessment of China’s Industrial System with an Improved SBM Model and Global Malmquist Index

Mathematics ◽  
2021 ◽  
Vol 9 (20) ◽  
pp. 2594
Author(s):  
Fenfen Li ◽  
Bo Dai ◽  
Qifan Wu
Keyword(s):  
Production Process ◽  
Industrial Production ◽  
Treatment Process ◽  
Malmquist Index ◽  
Stage Structure ◽  
Industrial Sector ◽  
Industrial System ◽  
Green Growth ◽  
Pollution Treatment ◽  
Growth Assessment

This study proposes a method for resource management and optimisation in the industrial sector of China. Differing from previous research on the green assessment of industrial systems focusing on “black box” evaluation, our approach contributes to the two-stage structure of an industrial system that consists of an industrial production process and a pollution treatment process. The corresponding network slack-based model (SBM) is proposed to analyse the performance of China’s provincial industry sector. Based on our network SBM, the global Malmquist index is built to analyse the total factor productivity changes of system and individual processes to evaluate the consistency of sustainable development where dynamic green growth assessment is realized. The results show that the whole system and its pollution treatment process performance are poor and disorganised, while the industrial production process maintains a stable ranking for the 30 regions in China. We find that the main cause of this phenomenon is the variable technical efficiency change in the 30 regions, which reflects the immaturity of the management of the pollution treatment process. System performance is also highly related to regionalism.

Assessing environmental efficiency of China’s industry system using two-stage range-adjusted measure model

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Meiqiang Wang ◽  
Yingwen Chen ◽  
Zhixiang Zhou
Keyword(s):  
Energy Efficiency ◽  
Technological Innovation ◽  
Industrial Production ◽  
Environmental Efficiency ◽  
Treatment Level ◽  
Industrial System ◽  
Water Efficiency ◽  
Two Stage ◽  
Content Type ◽  
Pollution Treatment

PurposeThe purpose of this paper is to examine the industrial production efficiency, pollution treatment efficiency, total factor energy efficiency and water efficiency in China with the consideration of technological innovation. This study also explores the distribution proportion of technological innovation between industrial production substage and pollution treatment substage.Design/methodology/approachA nonparametric method, data envelopment analysis (DEA), is used as the model foundation of this study. Specifically, a novel two-stage range-adjusted measure (RAM-DEA) with shared inputs is constructed to analyze the China’s industrial system. In this study, the panel data of 30 provinces from 2008 to 2015 are used.FindingsThis study found that although the current environmental regulation reduced the efficiency of industrial production, it could significantly improve the pollution treatment level. However, the lack of pollution treatment capacity was still an obstacle for development of China's industrial system. Compared with the total factor energy efficiency, the total factor water efficiency had more room for improvement. The optimal distribution of technological innovation in the two substages performed little change and the distribution roughly followed the “three-seven principle”.Practical implicationsMore attention should be paid to improve the pollution treatment level and total factor water efficiency. And more R&D expenditure should be used in the industrial production substage in the eastern coastal areas, while in the inland areas, more R&D expenditure should be used in the pollution treatment substage.Originality/valueThis study proposed a model to environmental efficiency score with considering interval data under two-stage evaluation structure, which could strengthen the theory and expand the application scope of DEA approach.

scholarly journals Application of the Deep CNN-Based Method in Industrial System for Wire Marking Identification

Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3659
Author(s):  
Andrzej Szajna ◽  
Mariusz Kostrzewski ◽  
Krzysztof Ciebiera ◽  
Roman Stryjski ◽  
Waldemar Woźniak
Keyword(s):  
Production Process ◽  
Process Development ◽  
Process Time ◽  
Industrial System ◽  
Assembly Process ◽  
Production Environment ◽  
Deep Convolutional Neural Networks ◽  
Control Cabinet ◽  
Production Processes ◽  
The Wire

Industry 4.0, a term invented by Wolfgang Wahlster in Germany, is celebrating its 10th anniversary in 2021. Still, the digitalization of the production environment is one of the hottest topics in the computer science departments at universities and companies. Optimization of production processes or redefinition of the production concepts is meaningful in light of the current industrial and research agendas. Both the mentioned optimization and redefinition are considered in numerous subtopics and technologies. One of the most significant topics in these areas is the newest findings and applications of artificial intelligence (AI)—machine learning (ML) and deep convolutional neural networks (DCNNs). The authors invented a method and device that supports the wiring assembly in the control cabinet production process, namely, the Wire Label Reader (WLR) industrial system. The implementation of this device was a big technical challenge. It required very advanced IT technologies, ML, image recognition, and DCNN as well. This paper focuses on an in-depth description of the underlying methodology of this device, its construction, and foremostly, the assembly industrial processes, through which this device is implemented. It was significant for the authors to validate the usability of the device within mentioned production processes and to express both advantages and challenges connected to such assembly process development. The authors noted that in-depth studies connected to the effects of AI applications in the presented area are sparse. Further, the idea of the WLR device is presented while also including results of DCNN training (with recognition results of 99.7% although challenging conditions), the device implementation in the wire assembly production process, and its users’ opinions. The authors have analyzed how the WLR affects assembly process time and energy consumption, and accordingly, the advantages and challenges of the device. Among the most impressive results of the WLR implementation in the assembly process one can be mentioned—the device ensures significant process time reduction regardless of the number of characters printed on a wire.

Industrial Wastewater Treatment and Reuse in a Developing Country Context: Evidence at the Firm Level from Ecuador

2018 ◽  
Vol 04 (02) ◽  
pp. 1750005 ◽  
Author(s):  
Oscar Zapata
Keyword(s):  
Wastewater Treatment ◽  
Production Process ◽  
Developing Country ◽  
Industrial Wastewater ◽  
Public Perception ◽  
Wastewater Reuse ◽  
Industrial Sector ◽  
Wastewater Management ◽  
Firm Level ◽  
Local Conditions

Wastewater reuse constitutes an alternative supply source of water. It not only increases the amount of water available but also reduces water pollution. The benefits and costs of this practice, and the public perception of reuse are the focus of several studies. However, the evidence on industrial wastewater reuse at the firm level remains scant. This paper is aimed at filling this gap by presenting evidence on the determinants of both wastewater treatment and reuse practices in a developing country context. I use firm level data from the Survey on Firms’ Environmental Practices of Ecuador. My results show that wastewater management in general, and reuse in particular, are still limited practices in the industrial sector of the country. My results suggest that firm’s decisions to treat and reuse depends on long-term firm’s characteristics, such as annual investment, the nature of the production process and local conditions, as well as the scale of production and water consumption. Volumes of wastewater treated and reused depend positively on the amount of water used in the production process and the firm’s annual level of investment or expenditure. The cost of the practice only affects the volume treated. The results suggest that targeting water-intensive industry sectors and the costs of wastewater treatment can play an important role for a more sustainable use of water in the industrial sector of Ecuador.

scholarly journals Monetary Policy Channels and Industrial Production in Pakistan: Evidences based on ARDL Approach

2020 ◽  
Vol 6 (3) ◽  
pp. 713-721
Author(s):  
Muhammad Tariq Mahmood ◽  
Sadaf Shahab ◽  
Saad Ali Rabbani
Keyword(s):  
Monetary Policy ◽  
Money Supply ◽  
Industrial Production ◽  
Industrial Sector ◽  
The Other ◽  
Economic Management ◽  
Long Run ◽  
Consumer Prices ◽  
Short Run ◽  
Bound Test

Monetary policy is a significant component of economic management, with which we can control higher inflation, boost the economic growth and stabilize the other macroeconomic activities. This study investigates the channels of monetary policy affecting the industrial production using monthly data of Pakistan. In this regard, we have applied Bound test for co-integration to investigate the dynamic behaviour of the variables. Our results indicate that the consumer prices, money supply and money market rates are negatively effective for industrial production in the short-run. On the other hand, exchange rate has positive effect in short-run. The results also indicate that there is statistically significant and positive relationship between industrial output and money supply in the long-run, too. The adjustment mechanism suggests stability in the system and is statistically significant. Our results imply that the authorities should use expansionary monetary stance through money supply channel to boost the industrial sector.

Effects of digitalization of industrial small and medium-sized enterprises in Industry 4.0

2021 ◽  
Vol 19 (11) ◽  
pp. 2086-2106
Author(s):  
Elena S. MEZENTSEVA
Keyword(s):  
Production Process ◽  
Statistical Methods ◽  
Industrial Production ◽  
Industry 4.0 ◽  
The State ◽  
New Markets ◽  
Comparative Analyses ◽  
Industrial Enterprises ◽  
Theoretical Generalization ◽  
Special Studies

Subject. This article discusses the issues related to the industrial production process re-engineering in a fundamental way in the conditions of Industry 4.0. Objectives. The article aims to identify the current areas of digitalization and the specifics of the implementation of Industry 4.0 achievements at small and medium-sized industrial enterprises (SMEs). Methods. For the study, I applied the methods of theoretical generalization, systems, logical, structural, and comparative analyses, and statistical methods. Results. The article highlights the advantages and limitations associated with the introduction of Industry 4.0 technologies in small and medium-sized industrial enterprises and identifies constraints and prospects for entering new markets. Based on the analysis of indices, the article assesses the state of preparedness and willingness of small and medium-sized enterprises in Russia for digitalization. Conclusions. It is necessary to conduct special studies on various aspects of the implementation of Industry 4.0 technologies at small and medium-sized enterprises.

Effect of Catalytic Material in Environment Pollution Treatment

2010 ◽  
Vol 156-157 ◽  
pp. 1323-1326
Author(s):  
Li Nan Zhu ◽  
Yong Jun Wang ◽  
Lin Zhang
Keyword(s):  
Methylene Blue ◽  
Treatment Process ◽  
Removal Rate ◽  
Dye Wastewater ◽  
Environment Pollution ◽  
Solution Ph ◽  
Wastewater Treatment Process ◽  
Catalytic Material ◽  
Pollution Treatment ◽  
High Voltage Discharge

Some catalytic materials can be utilized in environment pollution treatment. The material of ceramisite can be used in dye wastewater treatment process with its good properties. When they were filled in the high voltage discharge reactor, the ceramsite pellets were polarized, and partial discharge could take place beside every pellet, which would promote methylene blue degeneration in the dye wastewater. And when the solution pH>ceramsite pHzpc, the ceramsite surface presented the electronegativity and the ceramsite could adsorb more methylene blue, and removal rate increased.

Research on the Preparation of the Low Density Material with High Volume Filling Rate of Phenolic Hollow Microsphere

2013 ◽  
Vol 561 ◽  
pp. 135-140
Author(s):  
Xue Tao He ◽  
Jian Bo Shao ◽  
Ying An ◽  
Kun Ma ◽  
Jian Qiang Wang ◽  
...  
Keyword(s):  
Production Process ◽  
Industrial Production ◽  
Mixing Time ◽  
Hollow Microsphere ◽  
High Volume ◽  
Filling Ratio ◽  
Low Density ◽  
Filling Rate ◽  
Volume Filling ◽  
Mixing Effect

In this paper, an experimental mixing equipment has been developed for producing low density material with a high volume filling rate of phenolic hollow microsphere. The experiments with the equipment aim to explore the feasibility of this equipment for industrial production and to optimize the process. Experiments have been made to evaluate the influence of the filling ratio and the mixing rotor movement on the mixing effect. The results show that when the volume filling ratio of the material to the mixing barrel is about 40% the mixing effect is the best. But with mixing time increasing, the broken ratio of hollow microsphere will increase too. To solve this problem, some changes on the rotor movement have been made. The results show that the broken ratio increasing rate becomes lower and the density becomes more uniform. These indicate that the broken ratio can be well controlled by a suitable production process.

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