A dissipative structure theory-based investigation of a construction and demolition waste minimization system in China

Yuan, Hongping; Wang, Zheng; Shi, Yongwei; Hao, Jian Li

doi:10.1080/09640568.2021.1889484

Cited by 55 publications

(23 citation statements)

References 66 publications

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“…China is also the world's largest producer of energy and the second-largest global energy user. It has high carbon levels and their reduction is extremely necessary (Chien et al 2021c;Purba et al 2021;Yuan et al 2021). A key method adopted by China to maintain its position as a major power is strongly encouraging savings in electricity, reduction in emissions, and a low carbon economy.…”

Section: Introductionmentioning

confidence: 99%

RETRACTED ARTICLE: How do environmental regulations affect carbon emission and energy efficiency patterns? A provincial-level analysis of Chinese energy-intensive industries

Ngo

2021

Environ Sci Pollut Res

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This study measures the environmental regulation effect and pattern of carbon emission and energy efficiency through data envelopment analysis and econometric estimation. One of the most important ways to achieve a green transition is promoting technical progress through environmental regulation. Though China has witnessed rapid economic growth over the last two decades, the country can improve it further through adopting sustainable green energy and establishing more energy-efficient industries to strike a good balance between economic and social developments. The oil and carbon dioxide emission perfor-mances form the most important metrics. This study uses panel data from 30 Chinese provinces from 2008 to 2017 to assess the effect of environmental regulation on energy production. The nonradial directional distance function (NDDF) is used to measure the total factor energy efficiency index (TFEEI). The panel system GMM model, which can effectively address endogenous problems and regional variability, is utilized to research the nonlinear relationship between environmental regulations and EEI under various environmental regulations to study it. The findings reveal a considerably modest total average EEI amount for energy-intensive industries, averaging between 0.55 and 0.58, which is way below the ideal value (i.e., 1). Furthermore, the results of the dynamic panel data model revealed a significant U-shaped relationship between China'sEEI andenvironmental regulation. The results show that as the values of market-based environmental regulations (MERs) and command and control environmental regulations (CCERs) exceed the corresponding levels, the impact of environmental regulation on the TFEEI increases gradually. This study will aid policymakers in better understanding the efficacy of different levels of environmental regulations to make more educated decisions.

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Section: Introductionmentioning

confidence: 99%

RETRACTED ARTICLE: How do environmental regulations affect carbon emission and energy efficiency patterns? A provincial-level analysis of Chinese energy-intensive industries

Ngo

2021

Environ Sci Pollut Res

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“…In [105], the choice evaluation for the supplier was carried out by the ANP method for building materials such as cladding and roof constructions. Choosing a supplier as a strategic decision plays a significant role in issues that have attracted the attention of researchers [4,63]. Suppliers are the first part of the chain, and any failure in this tire will continue in the chain, and its effect will be intensified until the end.…”

Section: Green Supply Chain In the Construction Industrymentioning

confidence: 99%

“…e inherent complexity of natural objects and human inability to fully comprehend such things pose significant problems when it comes to making decisions that rely on information [64,111]. Most of the issues and challenges faced by decision makers and planners are multiobjective, which adds to the analytical difficulties [4,65]. Many of the simplifications of the past-for example, that in a given decision only the minimum or maximum cost or benefit is essential-are not acceptable today, and it is necessary to confront the actual situation as much as possible with the methods and utilize more progressive approaches [98,99].…”

Section: Hesitant Fuzzy Setmentioning

confidence: 99%

“…Supply chain management is a serious and fundamental matter to take into account [1][2][3][4]. Companies use SCM to effectively provide reliable, flexible, and cheaper products to maintain their competitiveness [5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

“…Since Iran's construction companies depend on a stable supply chain, implementing a green supply chain is essential [8,[66][67][68]. It is possible to implement green supply chain management in the construction industry to manage their natural resource consumption [4,36,69,70]. Additionally, it can help the construction process as a whole be more efficient.…”

Section: Introductionmentioning

confidence: 99%

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Implementation of MCDM-Based Integrated Approach to Identifying the Uncertainty Factors on the Constructional Project

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Mathematical Problems in Engineering

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Presently, environmental management for companies emphasizing environmental protection has become one of the most critical issues for customers, shareholders, governments, employees, competitors, and global pressures requiring organizations to produce environmentally-friendly products and services. This challenge has created a new concept called green supply chain management in business, which combines environmental thinking with the supply chain. Selection of suppliers by considering risk criteria is a category that has attracted the attention of a large number of researchers in order to select the best suppliers according to uncertain factors. In this research, we aim to select a green supplier considering risk factors using a new MCDM approach under uncertainty. For this selection problem, HF-MAIRCA, a new multicriteria sorting method for many alternatives, has been developed. This is used for sorting the alternatives into predefined, ordered supplier categories. This sorting method can be applied to different environmental problems that have a large number of alternatives. As a result of Iran’s case study, the result shows that materials flexibility and materials quality are essential criteria for green supplier selection.

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Adaptive neuro fuzzy evaluation of energy and non‐energy material productivity impact on sustainable development based on circular economy and gross domestic product

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Circular economy represents a concept for turning of material and energy wastes into resources for other purposes in a closed loop system. The purpose of circular economy is to minimize the energy and material wastes. The effect of energy and nonenergy material productivity on the gross domestic product (GDP) was analyzed in this study. The main contribution of the investigation was to determine which sector of energy or non-energy material productivity has the more relevance on the GDP.Energy productivity represent energy consumption sector while non-energy material productivity represents the sector closely connected to the circular economy. The used database covers OECD members in period 1990-2020. According to the results one can determine the current status of the economic development and what needs to be improved to reduce the energy and material wastes. On the contrary GDP needs to be tracked in order determine which factor has the more influence on the GDP. For such a purpose adaptive neuro fuzzy inference system (ANFIS) was used.The metals consumption represents the most relevant factor for GDP variation and prediction. The results show also the combination of non-energy material productivity and generated municipal waste is the best-case scenario for the GDP prediction.The obtained results could represent the best practices for implementation of circular economy concept.

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A dissipative structure theory-based investigation of a construction and demolition waste minimization system in China

Cited by 55 publications

References 66 publications

RETRACTED ARTICLE: How do environmental regulations affect carbon emission and energy efficiency patterns? A provincial-level analysis of Chinese energy-intensive industries

RETRACTED ARTICLE: How do environmental regulations affect carbon emission and energy efficiency patterns? A provincial-level analysis of Chinese energy-intensive industries

Implementation of MCDM-Based Integrated Approach to Identifying the Uncertainty Factors on the Constructional Project

Adaptive neuro fuzzy evaluation of energy and non‐energy material productivity impact on sustainable development based on circular economy and gross domestic product

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