scholarly journals Sustainability in Material Purchasing: A Multi-Objective Economic Order Quantity Model under Carbon Trading

2018 ◽  
Vol 10 (12) ◽  
pp. 4438 ◽  
Author(s):  
Daria Battini ◽  
Martina Calzavara ◽  
Ilaria Isolan ◽  
Fabio Sgarbossa ◽  
Francesco Zangaro

Sustainability in material purchasing is a growing area of research. Goods purchasing decisions strongly affect transportation path flows, vehicle consolidation, inventory levels, and related obsolescence costs. These choices have an economic impact on the supply chain, in terms of different logistic costs, and an environmental impact, in terms of the carbon emissions produced during goods transportation, storage and final recovery. In this paper, we initially analyze and compare the environmental economic policies established by the International Governments in relation to the carbon trading systems adopted. Then, we overcome a traditional single objective formulation, by developing a bi-objective lot-sizing model in which costs and emissions are kept separated and analyzed by using a Pareto frontier subject to a Cap and Trade mitigation policy. The model is useful in practice to support managers in understanding the Pareto frontier shape linked to a specific purchasing problem, defining the cost-optimal and emission-optimal solutions and identifying a sustainable quantity to purchase when a Cap and Trade mitigation policy is present. We further analyze the model behavior according to variation in market carbon price and we finally analytically demonstrate that today carbon prices are still far too low to motivate managers towards sustainable purchasing choices: there is still a gap of about 79%.

Author(s):  
Daria Battini ◽  
Martina Calzavara ◽  
Ilaria Isolan ◽  
Fabio Sgarbossa ◽  
Francesco Zangaro

Sustainability in material purchasing is a growing area of research. Goods purchasing decisions strongly affect transportation path flows, vehicle consolidation, inventory levels and related obsolescence costs. Within a global sourcing context, companies experience the need of new decision making approaches capable to consider a large variety of factors, also linked with society and environment. Environmental impact assessment has become a key requirement for materials purchasing and transportation decisions since global warming is a rising concern both in academic and industrial researches. In fact, it is well known that the freight transport industry is responsible for large amounts of carbon emissions contributing to global warming. In this paper, we initially analyse and compare the environmental economic policies established by the International Governments in relation to the carbon trading systems adopted. Then, we develop a multi-objective lot sizing approach useful in practice to define the sustainable quantity to purchase when a Cap and Trade mitigation policy is present. We further analyse the model behaviour according to different carbon price values by demonstrating that carbon prices are still far too low to motivate managers towards sustainable purchasing choices.


2013 ◽  
Vol 330 ◽  
pp. 889-893
Author(s):  
Li Teh Lu ◽  
Tai Yi Yu ◽  
Yu Jie Chang ◽  
Che Ri E Lu

This study investigates carbon emission inventory from the local civil aviation industrys aircrafts, airport ground service vehicles and power consumption within an airport. With the existing data of five years, the operating costs probably added into civil aviation industrys operating costs are estimated and sensitivity of six variables are evaluated with Monde Carlo simulations herein to construct a basis for the policy of carbon trading. The dominant two factors contributing to variation in the cost of carbon trading per takeoff & landing at the Taoyuan Airport and the Taipei Airport are carbon price (71.1%) and number of takeoffs & landings (14.4%) as well as number of takeoffs & landings (38.7%) and carbon price (35.3%), respectively.


2018 ◽  
Vol 15 (1) ◽  
pp. 7-15
Author(s):  
Clifford O. Odimegwu ◽  
Emmanuel O. Olamijuwon

Abstract The demographic changes occurring in Mali, evident in high fertility but declining mortality rates have raised optimism about the prospects of reaping demographic dividend. However, it remains unclear how soon and what policy scenario would yield the largest demographic dividend in the country. We used a demographic-economic model “DemDiv” to assess the prospects of reaping a demographic dividend in Mali by 2050. We illuminate this further by examining the cost and implications of different combination of education, family planning and economic policies. The results show that by increasing access to education, family planning services coupled with strong economic reforms, Mali’s GDP per capita will be $27,044 by 2050. This high per capita GDP is almost thrice the benefit of prioritising only economic reforms. Mali would also have a GDP of $977 billion. These findings highlight the need for sound demographic and market-oriented economic policies for Mali to reap a large demographic dividend by 2050.


Energies ◽  
2021 ◽  
Vol 14 (5) ◽  
pp. 1328
Author(s):  
Jianguo Zhou ◽  
Shiguo Wang

Carbon emission reduction is now a global issue, and the prediction of carbon trading market prices is an important means of reducing emissions. This paper innovatively proposes a second decomposition carbon price prediction model based on the nuclear extreme learning machine optimized by the Sparrow search algorithm and considers the structural and nonstructural influencing factors in the model. Firstly, empirical mode decomposition (EMD) is used to decompose the carbon price data and variational mode decomposition (VMD) is used to decompose Intrinsic Mode Function 1 (IMF1), and the decomposition of carbon prices is used as part of the input of the prediction model. Then, a maximum correlation minimum redundancy algorithm (mRMR) is used to preprocess the structural and nonstructural factors as another part of the input of the prediction model. After the Sparrow search algorithm (SSA) optimizes the relevant parameters of Extreme Learning Machine with Kernel (KELM), the model is used for prediction. Finally, in the empirical study, this paper selects two typical carbon trading markets in China for analysis. In the Guangdong and Hubei markets, the EMD-VMD-SSA-KELM model is superior to other models. It shows that this model has good robustness and validity.


2021 ◽  
Vol 13 (2) ◽  
pp. 642
Author(s):  
Shuangxi Zhou ◽  
Zhenzhen Guo ◽  
Yang Ding ◽  
Jingliang Dong ◽  
Jianming Le ◽  
...  

Buildings consume many resources and generate greenhouse gases during construction. One of the main sources of greenhouse gases is carbon emission associated with buildings. This research is based on the computing rule of carbon emission at the materialization stage. By taking the features of green construction into consideration, quantitative analysis on construction carbon emission was undertaken via Life Cycle Assessment (LCA). Making use of Vensim (a system dynamics software package), we analyzed the amount of carbon emission at the materialization stage and determined the major subsystems affecting the carbon emission, then took into comprehensive consideration the differences of each subsystem’s carbon emission under different construction technologies. Under the mechanism of carbon trade at the materialization stage, the total price of carbon trades remains unchanged, while the trading price of each subsystem is adjusted. Under these conditions, a coefficient for step-wise increases in carbon price was proposed. By establishing such a system of gradient prices, construction companies are encouraged to adopt high-efficiency emission reduction technologies. Meanwhile, the system also provides a reference for the formulation of price-based policies about buildings’ carbon trading, and accelerates the process of energy conservation and emission reduction in China and the world at large.


2021 ◽  
Vol 73 (05) ◽  
pp. 8-8
Author(s):  
Pam Boschee

Carbon credits, carbon taxes, and emissions trading systems are familiar terms in discussions about limiting global warming, the Paris Agreement, and net-zero emissions goals. A more recent addition to the glossary of climate policy is “carbon tariff.” While the concept is not new, it recently surfaced in nascent policymaking in the EU. In 2019, European Commission President Ursula von der Leyen proposed a “carbon border adjustment mechanism (CBAM)” as part of a proposed green deal. In March, the European Parliament adopted a resolution on a World Trade Organization (WTO)-compatible CBAM. A carbon tariff, or the EU’s CBAM, is a tax applied to carbon-intensive imports. Countries that have pledged to be more ambitious in reducing emissions—and in some cases have implemented binding targets—may impose carbon costs on their own businesses. Being eyed now are cross-border or overseas businesses that make products in countries in which no costs are imposed for emissions, resulting in cheaper carbon-intensive goods. Those products are exported to the countries aiming for reduced emissions. The concern lies in the risk of locally made goods becoming unfairly disadvantaged against competitors that are not taking similar steps to deal with climate change. A carbon tariff is being considered to level the playing field: local businesses in countries applying a tariff can better compete as climate policies evolve and are adopted around the world. Complying with WTO rules to ensure fair treatment, the CBAM will be imposed only on high-emitting industries that compete directly with local industries paying a carbon price. In the short term, these are likely to be steel, chemicals, fertilizers, and cement. The Parliament’s statement introduced another term to the glossary of climate policy: carbon leakage. “To raise global climate ambition and prevent ‘carbon leakage,’ the EU must place a carbon price on imports from less climate-ambitious countries.” It refers to the situation that may occur if businesses were to transfer production to other countries with laxer emission constraints to avoid costs related to climate policies. This could lead to an increase in total emissions in the higher-emitting countries. “The resolution underlines that the EU’s increased ambition on climate change must not lead to carbon leakage as global climate efforts will not benefit if EU production is just moved to non-EU countries that have less ambitious emissions rules,” the Parliament said. It also emphasized the tariff “must not be misused to further protectionism.” A member of the environment committee, Yannick Jadot, said, “It is a major political and democratic test for the EU, which must stop being naïve and impose the same carbon price on products, whether they are produced in or outside the EU, to ensure the most polluting sectors also take part in fighting climate change and innovate towards zero carbon. This will give us the best chance of remaining below the 1.5°C warming limit, whilst also pushing our trading partners to be equally ambitious in order to enter the EU market.” The Commission is expected to present a legislative proposal on a CBAM in the second quarter of 2021 as part of the European Green Deal.


Author(s):  
Erick Lachapelle

In debates surrounding policy options for mitigating greenhouse gas (GHG) emissions, economists of various political stripes are near unanimous in their advocacy of putting a price on carbon, whether through a tax or emissions trading program. Due to the visible costs imposed on industry and consumers, however, these policies have been resisted by carbon-intensive industries and by an ideologically divided public, producing incentives for vote-seeking politicians to avoid implementing comprehensive and stringent carbon prices within their own borders. In this highly politicized environment, and considering the more recent diffusion of market-based instruments across political jurisdictions around the world, researchers have sought to identify the conditions most favorable to implementing carbon taxes and cap-and-trade programs, the correlates of public support for these policies, and the extent to which different communication strategies may help build public support. How do experts, political leaders, and members of the public understand these policy instruments, and what specific approaches have been most successful in persuading policy makers and the public to support a price on carbon? In places that have yet to implement a carbon price, what can communication strategists learn from existing research and the experience of other jurisdictions where such policies have been successfully implemented? In places where carbon taxes or carbon cap-and-trade programs exist, how are the benefits of these policies best communicated to ensure the durability of carbon pricing policies over time?


Author(s):  
Lihong Wang ◽  
Kedong Yin ◽  
Yun Cao ◽  
Xuemei Li

In recent years, the study of the factors affecting the carbon trading price plays an important role in promoting the carbon trading markets and the sustainable development of green economy. However, due to the short establishment time of China’s carbon trading market, the carbon trading price data of the pilot markets were not complete and have the typical characteristics of poor information. The traditional grey correlation model cannot effectively identify the volatility and the grey correlation coefficient of trading data. In this paper, an inscribed cored grey relational analysis model (IC-GRA) is constructed by extracting the values of the triangle inscribed center of the time series sample. Through numerical examples and empirical analysis, it is verified that IC-GRA not only satisfies the four axioms of traditional grey correlation but also avoids the influence of outliers of time series fluctuation and improves the discriminability of the grey correlation coefficient. The empirical results of the IC-GRA model in China’s seven pilot carbon trading markets show that: 1. among international carbon trade factor, the biggest influence factor carbon trade price is different in pilot markets. The price of natural gas has a greater correlation with the carbon price of carbon trading markets in Shenzhen, Guangzhou, and Chongqing. The futures price of Certified Emission Reduction (CER) has a strong correlation with the carbon price of Shanghai and Beijing carbon trading markets; the price of Hubei carbon trading market is the largest related to crude oil future price in the New York Mercantile Exchange ( NYMEX). 2. Air Quality Index (AQI) is most relevant to the market carbon price of carbon trading, followed by the trading turnover and trading volume of the carbon trading market. Therefore, studying the carbon trading price of the carbon trading market plays a positive role in improving the sustainable development in those areas.


Author(s):  
Wenzhu Liao ◽  
Lin Liu ◽  
Jiazhuo Fu

In order to explore the impact of using electric vehicles on the cost and environment of logistics enterprises, this paper studies the optimization of vehicle routing problems with the consideration of carbon trading policies. Both the electric vehicle routing model and the traditional fuel vehicle routing model are constructed aiming at minimizing the total costs, which includes the fixed costs of vehicles, depreciation costs, penalty costs for violating customer time window, energy costs and carbon trading costs. Then a hybrid genetic algorithm (HGA) is proposed to address these two models, the advantages of greedy algorithm and random full permutation are combined to set the initial population, at the same time, the crossover operation is improved to retain the excellent gene fragments effectively and the hill climbing algorithm is embedded to enhance the local search ability of HGA. Furthermore, a case data is used with HGA to carry out computational experiments in these two models and the results indicate that first using electric vehicles for distribution can indeed reduce the carbon emissions, but results in a low customer satisfaction compared with using fuel vehicles. Besides, the battery capacity and charge rate have a great influence on total costs of using electric vehicles. Second, carbon price plays an important role in the transformation of logistics companies. As the carbon price changes, the total costs, carbon trading costs, and carbon emissions of using electric vehicles and fuel vehicles are affected accordingly, yet the trends are different. The changes of carbon quota have nothing to do with the distribution scheme and companies’ transformation but influence the total costs of using electric and fuel vehicles for distribution, and the trends are the same. These reasonable proposals can support the government on carbon trading policy, and also the logistics companies on dealing the relationship between economic and social benefits.


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