E-Mail Alert

Add your e-mail address to receive forthcoming issues of this journal:

Journal Browser

Journal Browser

Special Issue "Low Carbon Development for Emerging Markets"

A special issue of Sustainability (ISSN 2071-1050).

Deadline for manuscript submissions: closed (31 December 2016)

Special Issue Editors

Guest Editor
Prof. Dr. Guowei Hua

School of Economics and Management, Beijing Jiaotong University, Shangyuancun 3, Beijing 100044, China
Website | E-Mail
Interests: operations and supply chain management; sustainability; dual supply chain; inventory management; facility location
Guest Editor
Prof. T.C. Edwin Cheng

Department of Logistics and Maritime Studies, Hong Kong Polytechnic University, Hung Hom, Kowloon
Website | E-Mail
Interests: low carbon supply chain management, innovation and technology for carbon reduction; information systems management in low carbon transportation; e-business and e-commerce
Guest Editor
Prof. Feng Chen

Vice-president and professor of Beijing jiaotong university, Beijing, China
E-Mail
Interests: energy conservation; low carbon building; green building
Guest Editor
Prof. Shouyang Wang

National Center for Mathematics and Interdisciplinary Sciences, CAS, Beijing, China
Website | E-Mail
Interests: low carbon energy; low carbon logistics and supply chain management; decision analysis; economic forecasts

Special Issue Information

Dear Colleagues,

Emerging markets, especially big emerging market, such as  BRIC countries, i.e., Brazil, Russia, Chinaand India are presently important forces of global economic growth, which are not only huge commodity supplier and sales markets, but also of great importance for global capital inflow. The accelerated development in the last decade, however, leads to the burning of large amount of fossil fuel energy resources and a considerable contribution to global carbon emissions. In particular, according to the data of International Energy Agency (IEA), only the BRIC countries account for more than 30% of global carbon emissions, in fact, these countries and other emerging markets countries have big potential to curb carbon emission. The Paris climate change conference, held in November 2015, proposed to control the rise of surface temperature within two degrees centigrade, which is a big challenge for energy saving and emission reduction in emerging countries. In this way, it is of great urgency to make efforts to study the low-carbon issues for emerging markets.

This Special Issue will mainly encompass original research referring to low-carbon energy, low-carbon policy, low-carbon technologies, low-carbon industry, and carbon finance. A low- carbon energy system is aimed at developing clean energy, including wind energy, solar energy, nuclear energy, geothermal energy and biomass energy instead of coal, oil, and other fossil energy. Low-carbon policies include mandatory, cap and trade, carbon tax, carbon offsets, and so on. Low-carbon technologies are composed of clean coal technology (IGCC), energy efficiency and renewable energy technologies and carbon dioxide capture and storage technology (CCS), and so on. Low-carbon industry system is made up of a low carbon supply chain, thermal power reduction, new energy vehicles, energy saving building, circular economy, recycling, environmental protection equipment, energy-saving materials, and so on. Carbon finance, namely the carbon trading market, refers to allowance-based transactions and project-based transactions.

Comprehensive reviews, case studies, or research articles that focus on scientific methods and innovatively statistical analyses are invited for submission to this Special Issue. We thank for your contribution.

Prof. Guowei Hua
Prof. T.C.Edwin Cheng
Prof. Feng Chen
Prof. Shouyang Wang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Emerging countries
  • Low carbon policy
  • Low carbon energy
  • Low-carbon technologies
  • Low-carbon industry
  • Low carbon supply chain

Published Papers (8 papers)

View options order results:
result details:
Displaying articles 1-8
Export citation of selected articles as:

Research

Open AccessArticle Impact of Energy Conservation and Emissions Reduction Policy Means Coordination on Economic Growth: Quantitative Evidence from China
Sustainability 2017, 9(5), 686; doi:10.3390/su9050686
Received: 8 December 2016 / Revised: 7 April 2017 / Accepted: 22 April 2017 / Published: 26 April 2017
PDF Full-text (274 KB) | HTML Full-text | XML Full-text
Abstract
To understand the general relationship between Energy Conservation and Emissions Reduction (ECER) policy means coordination (PMC) and economic growth, this paper quantitatively investigates the impact on economic growth of differing PMCs. ECER policies from 1978 to 2013 in China are quantified across two
[...] Read more.
To understand the general relationship between Energy Conservation and Emissions Reduction (ECER) policy means coordination (PMC) and economic growth, this paper quantitatively investigates the impact on economic growth of differing PMCs. ECER policies from 1978 to 2013 in China are quantified across two dimensions of policy power and policy means, and then, PMC degrees are designed as independent variables and incorporated into a modified Cobb−Douglas production model. While determining the cointegration relationships by using a unit root test, a cointegration test and a stability test, cointegration equation is conducted by using quantitative data to explore the economic growth effects of PMC in China. The government’s use of PMC in China is also analyzed and ranked. The empirical results show that there is a long-term cointegration relationship among the variables from 1978 to 2013. Additionally, the effects of the different PMCs on economic growth show significant discrepancies and each PMC usage ranking is also found to be significantly different, thereby implying that the use of different PMCs by the Chinese government needs to be further perfected. Full article
(This article belongs to the Special Issue Low Carbon Development for Emerging Markets)
Open AccessArticle A Framework of Sustainable Service Supply Chain Management: A Literature Review and Research Agenda
Sustainability 2017, 9(3), 421; doi:10.3390/su9030421
Received: 8 December 2016 / Revised: 25 February 2017 / Accepted: 7 March 2017 / Published: 12 March 2017
Cited by 1 | PDF Full-text (3043 KB) | HTML Full-text | XML Full-text | Supplementary Files
Abstract
In recent years, the interdisciplinary research of supply chains and sustainability has received extensive, yet gradual, attention; when compared to the rapid economic growth of the service industry, however, sustainable supply chain management has not been systematically explored yet. It has not only
[...] Read more.
In recent years, the interdisciplinary research of supply chains and sustainability has received extensive, yet gradual, attention; when compared to the rapid economic growth of the service industry, however, sustainable supply chain management has not been systematically explored yet. It has not only great theoretical significance, but also positive practical significance to provide a framework for the operation of a sustainable service supply chain from a sustainable development point of view. Based on the triple bottom line (TBL), we have analyzed related sustainable supply chain management research between 2006 and 2015, reviewed papers involving two or three bottom lines as well, and then introduced some classical frameworks for manufacturing supply chain management and service supply chain management. Afterward, by analyzing the differences between the manufacturing and service industries, we propose a framework of sustainable service supply chain management (SSSCM). Based on the impacts of sustainable development TBL on service supply chain participants, we have finally made a framework for sustainable operation facing triads service supply chain and proposed a future research agenda. Full article
(This article belongs to the Special Issue Low Carbon Development for Emerging Markets)
Figures

Figure 1

Open AccessArticle An Evaluation of the Low-Carbon Effects of Urban Rail Based on Mode Shifts
Sustainability 2017, 9(3), 401; doi:10.3390/su9030401
Received: 4 January 2017 / Revised: 14 February 2017 / Accepted: 27 February 2017 / Published: 8 March 2017
PDF Full-text (1485 KB) | HTML Full-text | XML Full-text
Abstract
Urban rail is widely considered to be a form of low-carbon green transportation, but there is a lack of specific quantitative research to support this. By comparing the mode, distance, and corresponding energy consumption of residents before and after the opening of rail
[...] Read more.
Urban rail is widely considered to be a form of low-carbon green transportation, but there is a lack of specific quantitative research to support this. By comparing the mode, distance, and corresponding energy consumption of residents before and after the opening of rail transit, this paper establishes a carbon reduction method for rail transit. A measurement model takes the passenger carbon emissions before the line is opened as the baseline and compares them with the standard after the opening, determining the carbon emissions reduction. The model requires a combination of a large amount of research data, transit smart card data, and GIS network measurement tools as measured data and parameters. The model is then applied to rail transit lines that have opened in Beijing in recent years. The emissions reductions of four different routes are estimated and the carbon emissions reduction effect of rail transit is evaluated. Full article
(This article belongs to the Special Issue Low Carbon Development for Emerging Markets)
Figures

Figure 1

Open AccessArticle Low Carbon-Oriented Optimal Reliability Design with Interval Product Failure Analysis and Grey Correlation Analysis
Sustainability 2017, 9(3), 369; doi:10.3390/su9030369
Received: 31 December 2016 / Revised: 19 February 2017 / Accepted: 27 February 2017 / Published: 4 March 2017
Cited by 1 | PDF Full-text (583 KB) | HTML Full-text | XML Full-text
Abstract
The problem of large amounts of carbon emissions causes wide concern across the world, and it has become a serious threat to the sustainable development of the manufacturing industry. The intensive research into technologies and methodologies for green product design has significant theoretical
[...] Read more.
The problem of large amounts of carbon emissions causes wide concern across the world, and it has become a serious threat to the sustainable development of the manufacturing industry. The intensive research into technologies and methodologies for green product design has significant theoretical meaning and practical value in reducing the emissions of the manufacturing industry. Therefore, a low carbon-oriented product reliability optimal design model is proposed in this paper: (1) The related expert evaluation information was prepared in interval numbers; (2) An improved product failure analysis considering the uncertain carbon emissions of the subsystem was performed to obtain the subsystem weight taking the carbon emissions into consideration. The interval grey correlation analysis was conducted to obtain the subsystem weight taking the uncertain correlations inside the product into consideration. Using the above two kinds of subsystem weights and different caution indicators of the decision maker, a series of product reliability design schemes is available; (3) The interval-valued intuitionistic fuzzy sets (IVIFSs) were employed to select the optimal reliability and optimal design scheme based on three attributes, namely, low carbon, correlation and functions, and economic cost. The case study of a vertical CNC lathe proves the superiority and rationality of the proposed method. Full article
(This article belongs to the Special Issue Low Carbon Development for Emerging Markets)
Figures

Figure 1

Open AccessArticle Sustainability Analysis and Buy-Back Coordination in a Fashion Supply Chain with Price Competition and Demand Uncertainty
Sustainability 2017, 9(1), 25; doi:10.3390/su9010025
Received: 23 October 2016 / Revised: 27 November 2016 / Accepted: 21 December 2016 / Published: 26 December 2016
Cited by 1 | PDF Full-text (676 KB) | HTML Full-text | XML Full-text
Abstract
Supply chain sustainability has become significantly important in the fashion industry, and more and more fashion brands have invested in developing sustainable supply chains. We note that dual channel system comprising a brand-owned direct channel and retail outsourcing channel is quite common in
[...] Read more.
Supply chain sustainability has become significantly important in the fashion industry, and more and more fashion brands have invested in developing sustainable supply chains. We note that dual channel system comprising a brand-owned direct channel and retail outsourcing channel is quite common in the fashion industry, and in the latter, buy-back contract is popular between brands and retailers. Therefore, we build a stylized dual channel model with price competition and demand uncertainty to characterize the main properties of a fashion supply chain. Our foci are the sustainability analysis and the channel coordination mechanism. We first design a buy-back contract with return cost to coordinate the channel. We then study supply chain sustainability and examine the effect of two key influencing factors, i.e., price competition and demand uncertainty. Interestingly, we find that a fiercer price competition will lead to a more sustainable supply chain. From the perspective of supply chain managers, we conclude that (1) if managers care about environmental sustainability, fierce price competition is not a suggested strategy; (2) if managers care about economic sustainability, fierce price competition is an advantageous strategy. We also find that high demand uncertainty results in a less sustainable supply chain, in both an environmental and economic sustainability sense. Full article
(This article belongs to the Special Issue Low Carbon Development for Emerging Markets)
Figures

Figure 1

Open AccessArticle Natural Gas Consumption of Emerging Economies in the Industrialization Process
Sustainability 2016, 8(11), 1089; doi:10.3390/su8111089
Received: 9 July 2016 / Revised: 10 October 2016 / Accepted: 18 October 2016 / Published: 25 October 2016
Cited by 2 | PDF Full-text (1021 KB) | HTML Full-text | XML Full-text
Abstract
Natural gas has become more and more important in the world energy market with the change of energy consumption structure and consumption subjects. This paper applies the panel smooth transition regression (PSTR) model to study the nonlinear relationship between natural gas consumption and
[...] Read more.
Natural gas has become more and more important in the world energy market with the change of energy consumption structure and consumption subjects. This paper applies the panel smooth transition regression (PSTR) model to study the nonlinear relationship between natural gas consumption and economic variables of emerging economies, and the empirical results show that: (1) There is a non-linear relationship among natural gas consumption, GDP per capita, industrialization and urbanization rate; (2) The optimal PSTR model is a two-regime model by using the lagged industrialization as a transition variable, and the impact of GDP per capita and of industrialization on natural gas consumption shows incomplete symmetry in low and high regime, respectively; (3) The result of time-varying elasticity analysis indicates that natural gas consumption is inelastic to GDP per capita, but elastic to both industrialization and urbanization. The elasticity of GDP per capita generally decrease with fluctuation, the elasticity of industrialization tends to rise, and the elasticity of urbanization is linear at high level; (4) Regional difference shows that there are 10 emerging economies are in first regime (below industrialization of 43.2%), and the remaining 6 are in second regime. This provides reference for countries in different transformation periods to make economic policies adapting to energy saving, energy structure optimization and other sustainable development strategies. Full article
(This article belongs to the Special Issue Low Carbon Development for Emerging Markets)
Figures

Figure 1

Open AccessArticle The Non-Linear Effect of Chinese Financial Developments on Energy Supply Structures
Sustainability 2016, 8(10), 1021; doi:10.3390/su8101021
Received: 4 June 2016 / Revised: 28 September 2016 / Accepted: 5 October 2016 / Published: 13 October 2016
PDF Full-text (2287 KB) | HTML Full-text | XML Full-text
Abstract
Currently, oversupply coal and coal-based power in China poses a great challenge to energy structure optimization and emissions reduction. The energy industry, however, is closely linked to the financial sector. In view of this, using a non-linear Panel Smooth Transition Regression (PSTR) model,
[...] Read more.
Currently, oversupply coal and coal-based power in China poses a great challenge to energy structure optimization and emissions reduction. The energy industry, however, is closely linked to the financial sector. In view of this, using a non-linear Panel Smooth Transition Regression (PSTR) model, this paper examines the threshold effects of financial developments on energy supply structures for 17 energy supply provinces in China observed over 2000–2014. The main results are: (1) The ratio of coal supply (LCSR) specification is seen to be a four-regime PSTR model with added value in the financial industry/GDP (LFIR) as the threshold variable. The LFIR and LCSR show a positive correlation, and the elastic coefficients change between 0.02 and ~0.085; the impact of financial institutions’ loan balance/GDP (LLAN) on LCSR takes on an inverse U-shaped curve: first positive, then negative, and again positive with the financial crisis in 2008 as the turning point; (2) The ratio of thermal power generation (LTPG) specification is seen to be a two-regime PSTR model with investment in the coal industry/GDP (LCIR) as the threshold variable. Results show that LFIR has a negative effect on LTPG, and the coefficients in the low regime tend to be 0.344%, then gradually decrease to 0.051% in the high regime. The influence of LLAN on the LTPG is positive before and negative after the financial crisis. The influence of the foreign direct investment GDP proportion (LFDI, the degree of financial openness) on the LCSR and LTPG both remain negative. Therefore, in the process of formulating energy conservation policies and adjusting energy-intensive industrial structures, the government should fully consider the effect of financial developments. Full article
(This article belongs to the Special Issue Low Carbon Development for Emerging Markets)
Figures

Figure 1

Open AccessArticle Low-Carbon Based Multi-Objective Bi-Level Power Dispatching under Uncertainty
Sustainability 2016, 8(6), 533; doi:10.3390/su8060533
Received: 1 April 2016 / Revised: 29 May 2016 / Accepted: 1 June 2016 / Published: 4 June 2016
Cited by 4 | PDF Full-text (1182 KB) | HTML Full-text | XML Full-text
Abstract
This research examines a low-carbon power dispatch problem under uncertainty. A hybrid uncertain multi-objective bi-level model with one leader and multiple followers is established to support the decision making of power dispatch and generation. The upper level decision maker is the regional power
[...] Read more.
This research examines a low-carbon power dispatch problem under uncertainty. A hybrid uncertain multi-objective bi-level model with one leader and multiple followers is established to support the decision making of power dispatch and generation. The upper level decision maker is the regional power grid corporation which allocates power quotas to each follower based on the objectives of reasonable returns, a small power surplus and low carbon emissions. The lower level decision makers are the power generation groups which decide on their respective power generation plans and prices to ensure the highest total revenue under consideration of government subsidies, environmental costs and the carbon trading. Random and fuzzy variables are adopted to describe the uncertain factors and chance constrained and expected value programming are used to handle the hybrid uncertain model. The bi-level models are then transformed into solvable single level models using a satisfaction method. Finally, a detailed case study and comparative analyses are presented to test the proposed models and approaches to validate the effectiveness and illustrate the advantages. Full article
(This article belongs to the Special Issue Low Carbon Development for Emerging Markets)
Back to Top