scholarly journals Measuring Carbon Market Transaction Efficiency in the Power Industry: An Entropy-Weighted TOPSIS Approach

Entropy ◽  
2020 ◽  
Vol 22 (9) ◽  
pp. 973
Author(s):  
Jin Zhu ◽  
Huaping Sun ◽  
Nanying Liu ◽  
Dequn Zhou ◽  
Farhad Taghizadeh-Hesary
Keyword(s):  
Trading Volume ◽  
Power Industry ◽  
Carbon Market ◽  
Carbon Markets ◽  
Low Carbon ◽  
Transaction Efficiency ◽  
Order Preference ◽  
Market Transaction ◽  
Topsis Approach ◽  
Entropy Weighted

Carbon emission control is an urgent environmental issue that governments are paying increasing attention to. Improving carbon market transaction efficiency in the context of China’s power industry is important for green growth, low carbon transmission, and the realization of sustainable development goals. We used the entropy-weighted Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) method in this empirical study to analyze the carbon market transaction efficiency of China’s power industry. The results showed that the Beijing carbon market has the highest transaction efficiency, followed by those of Guangdong Province and Shenzhen City. Hubei Province also has a relatively high carbon market transaction volume and turnover; its transaction efficiency ranks fourth. Shanghai, Tianjin, and Chongqing are the lowest-ranked regions, having carbon markets with relatively low trading volume and turnover. We, therefore, recommend that to develop a unified national carbon market, governmental agencies at all levels should equitably allocate carbon; strict regulations and penalties are also needed.

scholarly journals Adopt or Innovate: Understanding Technological Responses to Cap-and-Trade

2020 ◽  
Vol 12 (3) ◽  
pp. 170-201
Author(s):  
Raphael Calel
Keyword(s):  
Carbon Emissions ◽  
Pollution Control ◽  
Carbon Market ◽  
Carbon Intensity ◽  
Carbon Markets ◽  
Low Carbon ◽  
Cap And Trade ◽  
Short Term ◽  
Regulated Firms ◽  
Control Technologies

One important motivation for creating cap-and-trade programs for carbon emissions is the expectation that they will stimulate much-needed low-carbon innovation. I construct a new panel of British firms to investigate this hypothesis, finding that the European carbon market has encouraged greater low-carbon patenting and R&D spending among regulated firms without necessarily driving short-term reductions in carbon intensity of output. This stands in contrast to past cap-and-trade programs, which have primarily spurred adoption of existing pollution control technologies, with little effect on innovation. I discuss how to reconcile these contrasting findings and implications for the future of carbon markets. (JEL D22, O32, O34, Q52, Q54, Q58)

scholarly journals Identifying the Strategic Priorities of the Technical Factors for the Sustainable Low Carbon Industry Based on Macroeconomic Conditions

SAGE Open ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 215824402110163
Author(s):  
Haiyang Shang ◽  
Fang Su ◽  
Serhat Yüksel ◽  
Hasan Dinçer
Keyword(s):  
Decision Making ◽  
Research And Development ◽  
Fuzzy Topsis ◽  
Fuzzy Decision Making ◽  
Low Carbon ◽  
Macroeconomic Conditions ◽  
Order Preference ◽  
Technical Factors ◽  
Topsis Approach ◽  
Economic Criteria

This study aims to find out the strategic priorities of the technical factors to have sustainable low carbon industry. For this purpose, a hybrid multi-criteria decision-making (MCDM) is proposed that contains three different stages. First, the economic criteria required for sustainable development and the technical needs of the low carbon industry are defined by making a comprehensive literature review. After that, economic criteria are weighted by using the fuzzy decision-making trial and evaluation laboratory (DEMATEL) methodology. Finally, technical factors are ranked with the help of the fuzzy technique for order preference by similarity to ideal solution (TOPSIS) approach. Moreover, another analysis is also performed by considering fuzzy Vise Kriterijumska Optimizacija I Kompromisno Resenje (VIKOR) to evaluate the consistency of the analysis results. The main motivation of this study is to define the primary technical factors to minimize carbon emission problem by proposing a hybrid MCDM model. The findings indicate that research and development for renewable sources has the greatest importance for low-carbon industry. In addition, the analysis results of fuzzy TOPSIS and fuzzy VIKOR are quite similar. This situation demonstrates the consistency and coherency of the ranking results. Hence, it is recommended that countries should mainly give importance to the research and development investments so that the costs of renewable energy problems can be minimized. This situation can attract the attentions of the companies to invest in these projects. In this way, it will be possible to use a cleaner energy in industrial production.

Corporate sustainability assessment through fuzzy TOPSIS

2018 ◽  
Author(s):  
Eleonora Bottani ◽  
Marta Rinaldi ◽  
Federico Solari
Keyword(s):  
Sustainability Assessment ◽  
Corporate Sustainability ◽  
Reference Value ◽  
Fuzzy Topsis ◽  
Analysis And Evaluation ◽  
Sustainability Performance ◽  
Order Preference ◽  
Pros And Cons ◽  
Topsis Approach ◽  
Corporate Level

"The aim of this paper is to propose a decisionmaking methodology that enables the analysis and evaluation of sustainability at the corporate level. The proposed methodology grounds on two tools, namely the technique for order preference by similarity to ideal solution (TOPSIS) approach and fuzzy logic. The integration of these tools offers an effective way to deal with two typical issues of sustainability assessment, i.e.: 1) the fact that the company’s performance should be frequently evaluated against qualitative key performance indicators; and 2) the fact that to be meaningful, the company’s sustainability performance needs to be compared to a reference value, e.g. a threshold or benchmark, to evaluating how the company is distant from a target. The proposed approach has been applied to a real firm, operating in the food machinery industry, for testing purpose. The main pros and cons of the approach are described."

scholarly journals Environmental Efficiency Evaluation of China’s Power Industry Based on the Two-Stage Network Slack-Based Measure Model

2021 ◽  
Vol 18 (23) ◽  
pp. 12650
Author(s):  
Wei Wei ◽  
Shuangying Ding ◽  
Silin Zheng ◽  
Jingjing Ma ◽  
Tong Niu ◽  
...  
Keyword(s):  
Power Generation ◽  
Power Industry ◽  
Environmental Efficiency ◽  
Evaluation Index System ◽  
Efficiency Evaluation ◽  
Low Carbon ◽  
Generation Efficiency ◽  
Two Stage ◽  
Transmission And Distribution ◽  
Distribution Efficiency

How to achieve the continuous improvement of the environmental performance level of the power industry within the requirements of clean and low-carbon energy development is the fundamental requirement and inevitable choice for the construction of ecological civilization and sustainable development. From the perspective of environmental protection, based on the Data Envelopment Analysis (DEA) method and the internal mechanism of power system production and supply, the power industry environmental efficiency evaluation index system was constructed, and the two-stage Network Slack-based Measure (NSBM) model considering undesired output was used to calculate China’s 30 provinces and municipalities from 1998 to 2019. The environmental efficiency is divided into two links: power generation efficiency and transmission and distribution efficiency. The study found that, within the research interval, the overall environmental efficiency of China’s 30 provinces is low, and the differences between provinces and cities are large, but they have gradually developed in a better direction after 2015. The power generation efficiency of the first link in most provinces and municipalities is higher than the transmission and distribution efficiency of the second link, and the low transmission and distribution efficiency is an important reason for the low comprehensive level of environmental efficiency. The overall evolution trend of environmental efficiency in the six regions of China is roughly the same, but the regional differences are obvious, showing a trend of “high in the southeast and low in the northwest”. The economic and natural resource differences in different provinces and cities in each region have led to varying degrees of redundancy in five aspects, including investment in power assets, installed power generation capacity, and length of transmission lines, which seriously affect the environmental efficiency of the power industry. This research attempts to open the “black box” of the environmental efficiency conversion process of the power industry, which can provide directions and strategic suggestions for the improvement of the efficiency of the power industry in China.

scholarly journals Considerations for Chinese power industry to participate in carbon market

2019 ◽  
Vol 227 ◽  
pp. 052025
Author(s):  
Su Yang ◽  
Tian Zhao ◽  
Zechen Wu ◽  
Xiaoxuan Zhang ◽  
Li Ma
Keyword(s):  
Power Industry ◽  
Carbon Market

Vendor rating system for an Indian start-up: a combined AHP & TOPSIS approach

2018 ◽  
Vol 22 (3) ◽  
pp. 220-241 ◽  
Author(s):  
Rohit Kumar Singh ◽  
Surendra Kansara ◽  
Niraj Kumar Vishwakarma
Keyword(s):  
Relevant Literature ◽  
Three Dimensional ◽  
Pairwise Comparison ◽  
Content Type ◽  
Three Dimensional Printing ◽  
Start Up ◽  
Order Preference ◽  
Topsis Approach ◽  
Rating Model ◽  
Vendor Rating

Purpose The aim of this paper is to identify the criteria that are used for vendor or supplier rating, prioritize these criteria based on the industry inputs and develop a vendor rating model. The data were collected from an Indian start-up working in product development using three-dimensional printing (3DP). Design/methodology/approach Factors of importance for vendor rating were identified through industry visits, and interacting with the industry experts from the start-up under consideration, substantiated by extensive review of relevant literature. A questionnaire-based survey was carried out to further narrow down the factors important to the industry, prioritizing them with a pairwise comparison analysis as envisaged in the analytical hierarchy process (AHP) technique along with the calculation of consistency ratios. Technique for order preference by similarity to ideal solution (TOPSIS) methodology was further used for data aggregation. Findings This research brought forward the criteria that are useful for rating vendors or suppliers with reference to 3DP sector. Originality/value This paper integrates AHP and TOPSIS to solve a multi-criteria vendor rating problem. The attempt was made to make vendor rating process universal so that it can encompass all the vendors of the firm.

scholarly journals Will Southern Agriculture Play a Role in a Carbon Market?

2000 ◽  
Vol 32 (2) ◽  
pp. 235-248 ◽  
Author(s):  
Kimberly A. Zeuli ◽  
Jerry R. Skees
Keyword(s):  
Land Use ◽  
Transaction Costs ◽  
Regional Differences ◽  
Conservation Tillage ◽  
Carbon Market ◽  
Institutional Arrangements ◽  
Perverse Incentives ◽  
Market Transaction ◽  
The Government ◽  
The Right

AbstractWhile a carbon market offers substantial opportunities for US agriculture, regional differences in such a market are often ignored. This paper focuses on the advantages and challenges for agriculture in the South. The potential of two promising options are analyzed: conversion from cropland to forests and greater use of conservation tillage. It is argued that the right institutional arrangements can overcome three fundamental challenges to an efficient carbon market: transaction costs, risk, and perverse incentives. Some examples are given, such as the use of a farmer-owned organization and the provision of land use and carbon information by the government.

scholarly journals PRICING CARBON EMISSIONS IN CHINA

2018 ◽  
Vol 13 (03) ◽  
pp. 1850014
Author(s):  
CHIA-LIN CHANG ◽  
TE-KE MAI ◽  
MICHAEL MCALEER
Keyword(s):  
Carbon Emissions ◽  
National Development ◽  
Clean Energy ◽  
Northern China ◽  
Carbon Market ◽  
Energy Structure ◽  
Carbon Markets ◽  
Hydroelectric Power ◽  
Coal Consumption ◽  
Regional Markets

The review paper provides a strategy for determining carbon emissions pricing in China to guide how carbon emissions might be mitigated to reduce fossil fuel pollution. China has promoted the development of clean energy, including hydroelectric power, wind power, and solar energy generation. In order to involve companies in carbon emissions control, regional and provincial carbon markets have been established since 2013. As China’s carbon market is organized domestically, and not necessarily using market principles, there has been little research on China’s carbon price and volatility. This paper provides an introduction to China’s regional and provincial carbon markets, proposes how to establish a national market for pricing carbon emissions, discusses how and when these markets might be established, how they might perform, and the subsequent prices for China’s regional and national carbon markets. Power generation in manufacturing consumes more than other industries, with more than 40% of total coal consumption. Apart from manufacturing, the northern China heating system relies on fossil fuels, mainly coal, which causes serious pollution. In order to understand the regional markets well, it is necessary to analyze the energy structure in these regions. Coal is the primary energy source in China, so that provinces that rely heavily on coal receive a greater number of carbon emissions permits. In order to establish a national carbon market for China, a detailed analysis of eight important regional markets is presented. The four largest energy markets, namely, Guangdong, Shanghai, Shenzhen, and Hubei, traded around 82% of the total volume and 85% of the total value of the seven markets in 2017, as the industry structure of the western area is different from that of the east. The China National Development and Reform Commission has proposed a national carbon market, which can attract investors and companies to participate in carbon emissions trading.

Measuring the maturity of carbon market in China: An entropy-based TOPSIS approach

2019 ◽  
Vol 229 ◽  
pp. 94-103 ◽  
Author(s):  
Xianfeng Liu ◽  
Xinxing Zhou ◽  
Bangzhu Zhu ◽  
Kaijian He ◽  
Ping Wang
Keyword(s):  
Carbon Market ◽  
Topsis Approach
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