scholarly journals Identifying Comprehensive Key Criteria of Sustainable Development for Traditional Manufacturing in Taiwan

2018 ◽  
Vol 10 (9) ◽  
pp. 3275 ◽  
Author(s):  
Zon-Yau Lee ◽  
Mei-Tai Chu ◽  
Shiuann-Shuoh Chen ◽  
Chih-Hung Tsai
Keyword(s):  
Sustainable Development ◽  
Manufacturing Industry ◽  
Value Added ◽  
Manufacturing Industries ◽  
Key Factors ◽  
Analytic Hierarchy ◽  
The Sustainable Development ◽  
Conceptual Innovation ◽  
Traditional Manufacturing ◽  
New Framework

The traditional manufacturing industry has suffered from changing global demands and rapid technology upgrades. It is critical to incorporate innovation into contemporary manufacturing for sustainable development. A comprehensive interpretation of the determinants and directions of technical change is greatly needed. Therefore, this study aims to explore innovative applications that can enhance the value of manufacturing and examine the key factors associated with these innovations. In this paper, three traditional manufacturing industries are analyzed using the research methodologies analytic hierarchy processing (AHP) and Decision Making Trial and Evaluation Laboratory (DEMATEL), resulting in a set of six key criteria for innovative manufacturing. The causal relationships considering the six criteria in three industries are analyzed. The main contribution of this study is to establish a new framework for the sustainable development of traditional manufacturing industries. This could help to support conceptual innovation in these industries and establish a pragmatic approach to increase sustainable development. From the research results, the following suggestions can be made. The traditional manufacturing industries in Taiwan should focus on design and innovation. This can enhance the value-added and international competitiveness of industrial chains, enterprises, and products. Ultimately, it can lead to the sustainable development of Taiwan’s traditional industries.

scholarly journals Using a Novel Grey DANP Model to Identify Interactions between Manufacturing and Logistics Industries in China

2018 ◽  
Vol 10 (10) ◽  
pp. 3456 ◽  
Author(s):  
Peng Jiang ◽  
Yi-Chung Hu ◽  
Ghi-Feng Yen ◽  
Hang Jiang ◽  
Yu-Jing Chiu
Keyword(s):  
Manufacturing Industry ◽  
Multiple Criteria Decision Making ◽  
Value Added ◽  
Manufacturing Industries ◽  
Direct Influence ◽  
Key Factors ◽  
Logistics Industry ◽  
Influence Matrix ◽  
Factors Affecting ◽  
Two Factors

As a crucial part of producer services, the logistics industry is highly dependent on the manufacturing industry. In general, the interactive development of the logistics and manufacturing industries is essential. Due to the existence of a certain degree of interdependence between any two factors, interaction between the two industries has produced a basis for measurement; identifying the key factors affecting the interaction between the manufacturing and logistics industries is a kind of decision problem in the field of multiple criteria decision making (MCDM). A hybrid MCDM method, DEMATEL-based ANP (DANP) is appropriate to solve this problem. However, DANP uses a direct influence matrix, which involves pairwise comparisons that may be more or less influenced by the respondents. Therefore, we propose a decision model, Grey DANP, which can automatically generate the direct influence matrix. Statistical data for the logistics and manufacturing industries in the China Statistical Yearbook (2006–2015) were used to identify the key factors for interaction between these two industries. The results showed that the key logistics criteria for interaction development are the total number of employees in the transport business, the volume of goods, and the total length of routes. The key manufacturing criteria for interaction development are the gross domestic product and the value added. Therefore, stakeholders should increase the number of employees in the transport industry and freight volumes. Also, the investment in infrastructure should be increased.

scholarly journals Key Factors Influencing Sustainable Development of a Green Energy Industry in Taiwan

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Wen-Chih Huang ◽  
Chiu-Hua Jhong ◽  
Ji-Feng Ding
Keyword(s):  
Sustainable Development ◽  
Raw Materials ◽  
Production Equipment ◽  
Green Energy ◽  
Energy Industry ◽  
Key Factors ◽  
Analytic Hierarchy ◽  
The Sustainable Development ◽  
Industry Chain ◽  
Factors Influencing

The main purpose of this paper was to apply the fuzzy analytic hierarchy process (FAHP) approach to explore key factors influencing the sustainable development of a green energy industry in Taiwan. Based on the literature and experts' opinions, a hierarchical structure with five assessment aspects and fifteen development factors was first constructed, and a FAHP algorithm model was then proposed. Finally, based on the AHP experts' questionnaires, we used the FAHP approach to evaluate the key factors. The results showed the following. (1) “Technology” is the most important aspect influencing sustainable development of green energy industry in Taiwan. (2) In order of relative importance, the top six key factors influencing sustainable development of green energy industry in Taiwan are “establishment of key technological capabilities,” “degree of integration of relevant laws and regulations,” “establishment of an industry chain,” “key raw materials and production equipment,” “protection of intellectual property,” and “preferential purchase price rates and various subsidies,” respectively.

scholarly journals Mechanisms of Environmental Regulation’s Impact on Green Technological Progress—Evidence from China’s Manufacturing Sector

2021 ◽  
Vol 13 (4) ◽  
pp. 1600
Author(s):  
Weijiang Liu ◽  
Mingze Du ◽  
Yuxin Bai
Keyword(s):  
Sustainable Development ◽  
Energy Consumption ◽  
Technological Change ◽  
Environmental Protection ◽  
Technological Progress ◽  
Manufacturing Industry ◽  
Manufacturing Sector ◽  
The Sustainable Development ◽  
Biased Technological Change ◽  
Chinese Manufacturing Industry

As the world’s largest developing country, and as the home to many of the world’s factories, China plays a crucial role in the sustainable development of the world economy regarding environmental protection, energy conservation, and emission reduction issues. Based on the data from 2003–2015, this paper examined the green total factor productivity and the technological progress in the Chinese manufacturing industry. A slack-based measure (SBM) Malmquist productivity index was used to measure the bias of technological change (BTC), input-biased technological change (IBTC), and output-biased technological change (OBTC) by decomposing the technological progress. It also investigated the mechanism of environmental regulation, property right structure, enterprise-scale, energy consumption structure, and other factors on China’s technological progress bias. The empirical results showed the following: (1) there was a bias of technological progress in the Chinese manufacturing industry during the research period; (2) although China’s manufacturing industry’s output tended to become greener, it was still characterized by a preference for overall CO2 output; and (3) the impact of environmental regulations on the Chinese manufacturing industry’s technological progress had a significant threshold effect. The flexible control of environmental regulatory strength will benefit the Chinese manufacturing industry’s technological development. (4) R&D investment, export delivery value, and structure of energy consumption significantly contributed to promoting technological progress. This study provides further insight into the sustainable development of China’s manufacturing sector to promote green-biased technological progress and to achieve the dual goal of environmental protection and healthy economic growth.

scholarly journals Multimodal Transport in the Context of Sustainable Development of a City

2021 ◽  
Vol 13 (4) ◽  
pp. 2239
Author(s):  
Marzena Kramarz ◽  
Edyta Przybylska
Keyword(s):  
Sustainable Development ◽  
Freight Transport ◽  
Key Factors ◽  
The Sustainable Development ◽  
Individual Character ◽  
Third Stage ◽  
Multimodal Transport ◽  
Research Questions ◽  
The Individual ◽  
The Impact

Multimodal freight transport in cities is a complex, valid, and vitally important problem. It is more seldom underlined in scientific studies and included in cities’ strategies that devote more attention to passenger transport than freight transport. The increased utilization of multimodal transport matches current transport policy and at the same time, it is one of the most important challenges put before cities striving to achieve sustainable development. In this case, the paper embarks upon the problem of relations between multimodal transport development and the sustainable development of the cities. The objective of the paper is an analysis of the impact of the selected city of the Upper Silesian metropolis on the development of multimodal freight transport and an assessment of the impact of the development of multimodal transport on the sustainable development of the cities of the Upper Silesian metropolis. The authors developed three research questions in order to implement the adopted objective. The process of looking for the answer included four stages. Within the first and second stages, the literature studies and experts’ research allowed for identifying key factors of the multimodal transport development that a city may have an impact on. In the third stage, the research was two-fold and was based on a questionnaire and scenario analysis. Due to the individual character of each of the cities, scenarios were developed for Katowice, being the main economic center of Upper Silesian and Zagłębie Metropolis. As a result of the research, factors have been identified that must be included in a strategy of a city that strives for sustainable development. The last stage of the research focused on the initial concept of the multimodal transport development impact assessment on sustainable development of the cities. Conclusions developed at individual stages allowed for answering the research questions.

Study of Influence of Road Construction on Grassland in Inner Mongolia

2013 ◽  
Vol 807-809 ◽  
pp. 1881-1885
Author(s):  
Chun Mei Zhang ◽  
Min Zhao ◽  
Xue Lv
Keyword(s):  
Decision Making ◽  
Sustainable Development ◽  
Analytic Hierarchy Process ◽  
Inner Mongolia ◽  
Road Construction ◽  
Environment Protection ◽  
Analytic Hierarchy ◽  
The Sustainable Development ◽  
Inner Mongolia Grassland ◽  
Hierarchy Process

In this paper, the indexes that are used to assess the influence of road construction on Inner Mongolia grassland have been proposed based on the environment protection perspective. The Analytic hierarchy process was employed to evaluate the importance of different indexes regarding to influence. These indexes would be used to provide information for decision making about road construction in order to achieve the sustainable development of grassland.

scholarly journals Rural Tourism within the Sustainable Development Goals: the Case of Ukraine

2021 ◽  
Vol 95 ◽  
pp. 01004
Author(s):  
Hanna Shevchenko ◽  
Mykola Petrushenko
Keyword(s):  
Sustainable Development ◽  
Sustainable Development Goals ◽  
Value Added ◽  
Graphical Analysis ◽  
Rural Tourism ◽  
Inclusive Development ◽  
The Sustainable Development ◽  
Green Tourism ◽  
Development Goals

Research background: rural tourism is an economic and environmental activity that fits harmoniously into the concept of sustainable and inclusive development. In Ukraine, it is called rural green tourism, but in practice not all aspects of it can meet the Sustainable Development Goals 2030. Purpose of the article: to analyze the relationship between the structures of the rural tourism goals and the SDGs, to demonstrate the evolution, possibilities of the development on the example of Ukraine’s rural tourism, especially in the framework of the European Green Deal. Methods: factor analysis – when studying the structure of the rural tourism goals and the factors that affect it, as well as when comparing it with the structure of other sustainable activities; elements of graph theory – in the graphical analysis of the Sustainable Development Goals decomposition in their projection into the plane of rural tourism. Findings & Value added: the structure of the rural green tourism goals in Ukraine have been harmonized with the Sustainable Development Goals 2030. Sustainability factors have been identified that allow the tourism and recreation sphere in the medium and long term perspective not only to form a competitive market for relevant services, but also to serve as an important component of the inclusive development. Factors of tourism sphere transformation due to the coronavirus pandemic are taken into consideration. The concept of the phased programming in sphere of rural tourism in Ukraine within the framework of the European Green Deal 2030 and 2050 has been improved.

A Paradigm of Constructing Industrial Symbiosis and Coupling in China’s County-Region Economic Sustainable Development

2013 ◽  
pp. 1218-1231
Author(s):  
Guangming Li
Keyword(s):  
Sustainable Development ◽  
Local Government ◽  
Value Added ◽  
Economic Incentives ◽  
Environmental Cost ◽  
Ecological Environment ◽  
Industrial Symbiosis ◽  
The Sustainable Development ◽  
Industrial Chain ◽  
Recycle Economy

This chapter introduces the sustainable development of county-region economy under the constraint of natural resources and environment in China when parts of classic industries along the south-eastern coast are shifting to the poorer mountain areas and middle-western areas. It argues that the county regional economic development at the stage should focus on the agricultural growing and breeding their processing sectors, natural resource exploitation and its processing, manufacturing, tourism, and ecological industrial (shift) park, according to the resource endowment. The local government should guide the scientific planning of county-region industries’ layout, structure, symbiosis, and coupling relationships. By means of environmental cost internalization, region industries’ symbiosis and coupling size, roles of social network, cultivation of innovative culture, guidance of government subsidy, pressure from public monitoring, the market mechanism, and economic incentives will play roles in resource allocation. In practice, the local government or industrial authority can design the “lack in” value chain parts and package them into some feasible and profitable projects open to the market investors, encourage firms to participate regional industrial symbiosis and coupling, and construct a complete industrial chain or network, in order to realize the integration of closed-circuit industry, higher value-added ecological agriculture, tourism and related service sectors, creative economic industrial park, urbanization, and ecological environment. This will avoid the heavy-damage from traditional industrialization and urbanization on county-regional ecological environment, and then realize the harmony development of county-regional recycle economy, society, and environment.

scholarly journals Applying the Analytical Hierarchy Process (AHP) into the effects assessment of river training works

2017 ◽  
Vol 35 (1) ◽  
pp. 63-72 ◽  
Author(s):  
Justyna Hachoł ◽  
Mateusz Hämmerling ◽  
Elżbieta Bondar-Nowakowska
Keyword(s):  
Decision Making ◽  
Sustainable Development ◽  
Optimal Solution ◽  
River Regulation ◽  
Analytic Hierarchy ◽  
The Sustainable Development ◽  
River Bed ◽  
River Training ◽  
The One ◽  
Hierarchy Process

AbstractThe aim of the following study was to compare a few methods of river regulations and indicate the one which fully meets technical regulative standard and concurrently ensures protection of the watercourse ecosystem. According to the sustainable development rules it is of the most importance in every human activity to compromise between developmental and environmental needs of current and future generations. Therefore, both technical criteria related to flood safety and environmental ones were taken into consideration in the analysis. Field study was conducted in vegetation stage between 2008 and 2014 in small and medium lowland watercourses in Lower Silesia. The research comprised of measurements and descriptions of selected technical and environmental elements of a complex system of the watercourse river bed. Basing on obtained results a multicriterial assessment of the effects of the works was conducted. In order to assess the results an Analytic Hierarchy Process (AHP) was used in the study. It facilitated the creation of linear ranking of river beds and indicate the most optimal solution in terms of sustainable development. Such methods have not been applied in solving problems connected with river regulation. That’s why this study aims also at checking the utility of this method in decision making in both planning and regulation works realization. Results of the study indicate high usefulness of AHP method in the decision-making process.

scholarly journals Reproduction Forms of Sustainable Development Policy in Russia

2020 ◽  
Vol 174 ◽  
pp. 04020
Author(s):  
Sergey Zhironkin ◽  
Juraj Janocko ◽  
Svetlana Demchenko ◽  
Yulia Suslova ◽  
Olga Zhironkina
Keyword(s):  
Sustainable Development ◽  
Alternative Energy ◽  
Industrial Development ◽  
Manufacturing Industry ◽  
Raw Materials ◽  
Point Of View ◽  
Green Economy ◽  
The Sustainable Development ◽  
Goods And Services ◽  
Production Complex

The objective meaning of the sustainable development process in relation to the neo-industrialization of the economy is to create conditions for the restoration of the ecological identity of the national economy as a multi-industry production complex. We consider the neo-industrial development of the economy as the re-establishment of a competitive manufacturing complex in it, capable of saturating the domestic market avoiding increasing the burden on the environment with the innovative development of raw materials production, creating the material basis of national competitiveness in the environmental plan. From sustainable development point of view, neo-industrialization means conducting a comprehensive structural policy, the object of which should be national reproduction, and the subject is deep transformations of the processes that form the complex of human impact on nature, its institutional and technological structure, increasing the reproductive role of the green economy based on the potential of the internal market. At the same time, the history of greening industry, which dates back to the 1990s, testifies to the positive experience of replacing global production chains of raw materials, in particular, energy carriers, with the benefits of a fundamentally new type – alternative energy sources, biomaterials. Therefore, the development of technologically advanced manufacturing industry based on technologies of the green economy is possible as a result of the formation of production of goods and services that are maximally focused on meeting the environmental needs of society.

IDENTIFICATION OF MAJOR LEAN WASTE AND ITS CONTRIBUTING FACTORS USING THE FUZZY ANALYTICAL HIERARCHY PROCESS

2016 ◽  
Vol 40 (3) ◽  
pp. 371-382 ◽  
Author(s):  
P. Arunagiri ◽  
A. Gnanavelbabu
Keyword(s):  
Fuzzy Ahp ◽  
Value Added ◽  
Binary Logistic Regression ◽  
Manufacturing Industries ◽  
Fuzzy Analytical Hierarchy Process ◽  
Contributing Factors ◽  
Analytic Hierarchy ◽  
Significant Challenge ◽  
Component Manufacturing ◽  
Hierarchy Process

Lean refers to the reduction of non-value added activities in industries. It focuses on seven types of lean waste. The significant challenge is to identify and reduce the major lean waste. With this objective, a survey was conducted in an international exhibition in India using a questionnaire. The collected data were analyzed using Analytic Hierarchy Process (AHP) software template to check consistency. Finding consistent results obtained in AHP satisfactory, ranking was carried out to find the major lean waste using fuzzy AHP. After the identification of the major lean waste, the major contributing factors for the waste were ranked using the Binary Logistic Regression (BLR). These contributing factors were further investigated for the waste elimination in the automobile component manufacturing industries.

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