Research on financing strategy of low-carbon supply chain based on cost-sharing contract

Environmental Science and Pollution Research - The paper considers a low-carbon supply chain which consists of a capital constrained manufacturer and a retailer. We consider the retailer takes part...     

Waste converting through by-product synergy: an insight from three-echelon supply chain

By-product synergy (BPS) is an innovative method to convert waste into valuable by-products effectively. Based on a three-echelon supply chain composed of an upstream manufacturer, a processing plant with limited processing capacity, and a downstream manufacturer, this study derives the production quantity and waste disposal decisions of the upstream and downstream manufacturers as well as the optimal transfer price decision of the processing plant. Moreover, we assess the environmental performance of BPS. Analytical results suggest that the upstream manufacturer’s production quantity and waste disposal decisions and the processing plant’s transfer price decision are threshold dependent on the processing plant’s capacity, whereas the downstream manufacturer’s production quantity decision is threshold dependent on the processing plant’s capacity and price of raw materials. BPS is beneficial for all members of the supply chain to increase profit. The production promotion and cost-saving effects ensure that the supply chain members maximize their profit. However, BPS does not always have a positive effect on the environment; when the processing plant’s capacity and price of raw materials are below the threshold, implementing BPS results in a win-win situation of economic and environmental benefits.

     

Could China’s long-term low-carbon energy transformation achieve the double dividend effect for the economy and environment?

Exploring the low-carbon energy transformation pathway is vital to coordinate economic growth and environmental improvement for achieving China’s carbon peak target. Three energy-target scenarios are developed in this paper, considering the targets of energy structure, electrification rate, and carbon mitigation towards 2030 announced by the Chinese government. A dynamic multi-sectoral computable general equilibrium model, CHINAGEM, is employed to examine the economic and environmental effects under different pathways of long-term low-carbon transformation. It detects that China’s energy structure would substantially transfer to the low-carbon and clean one, whereas CO₂, SO₂, and NO_X emissions in 2020–2030 would vastly abate along with all three energy-target scenarios. Different pathways would produce varying positive impacts on China’s macro-economy and achieve the different extent of double dividend effects. It is highly conceivable for China to peak its carbon emission at 12.4 GtCO₂ by 2028 if it serves the comparatively more stringent low-carbon transformation pathways.

     

The impact of network externalities and altruistic preferences on carbon emission reduction of low carbon supply chain

Environmental Science and Pollution Research - This paper explores the manufacturer’s carbon emission reduction in the presence of network externalities and altruistic preferences. Existing...     

Influence of creating an oligopoly through government intervention to improve partner collaboration intentions in the context of green supply chains

Pollution from supply chains can be controlled through the high level of efficiency realized by green supply chains. However, realizing a green supply chain depends on partners’ collaboration intentions. The purposes of this study are to explore the influence of oligopolies created through government intervention and how they can promote supply chain partners’ collaboration intentions in the context of green supply chains. Spearman’s correlation analysis, partial least squares, and the Sobel test are the main approaches adopted to evaluate the theoretical framework and hypotheses of this study. Our findings indicate that, in addition to a few leaders of the supply chain obtaining market order distribution authority, oligopolies created through government intervention guide consumers to more fully scrutinize these supply chain leaders and their partners. When their partners exhibit a lower collaboration intention in green supply chain improvement and increase the pollution emission risk, it is easy to induce and increase social pressure from consumers and thus pressure these leaders to reduce or even cancel the order distribution of these partners. To avoid order profit loss, these partners will continue to actively maintain their collaboration intentions in the green supply chain. In addition, environmental risk audits by supply chain leaders’ interventions are a common approach to improve green supply chains. However, partners are usually unwilling to cooperate with leaders’ audit interventions and show lower collaboration intentions. However, social pressure can threaten partners’ order profits and thus drive partners to show positive collaboration intentions and further accept leaders’ reasonable interventions in environmental risk audits and will have a positive effect on green supply chain improvement. Based on the above, to expedite the improvement of the green supply chain, oligopolies created through government intervention are not only an important external force but also an important national strategy in green environmental improvement.

     

A market modeling review study on predicting Malaysian consumer behavior towards widespread adoption of PHEV/EV

With the rising concern about climate change, there has been an increased public awareness that has resulted in new government policies to support scientific research for mitigating these problems. Malaysia is among the major energy-intense countries and is under an excessive burden to advance its energy efficiency and to also work towards the reduction of its carbon emission. Plug-in hybrid electric vehicles (PHEVs) have the potential to lessen the carbon emission and gasoline consumption in order to alleviate environmental problems. Most of the energy problems linked to the increasing transportation pollution are now being reduced with the solution of the adoption of PHEVs. PHEVs are seen as a solution to cut carbon emission, which prevents environmental damages. Furthermore, PHEVs’ driving range and performance can be comparable to the other hybrid vehicles as well as the conventional IC engines that have gasoline and diesel tanks. Thus, many efforts are being initiated to promote the use of PHEVs as an innovative and affordable transportation system. In order to achieve making the consumers aware of the adoption of PHEVs, we used a model which is based on the extended theory of planned behavior (TPB). This review is based on the factors affecting the adoption of PHEVs among Malaysian consumers. The model takes into account the ten key features that influence the adoption of PHEVs, such as environmental concern, personal norm, attitude, vehicle ownership costs, driving range, charging time, intention, subjective norm, perceived behavioral control, and personal norm. All these constructs are drivers towards the adoption of PHEVs. These factors affect the relationship between the adoption of PHEVs and how consumers intend to protect the environment. This review is based on improving how the “attitude-action” gap is understood as it is an important element for further studies on PHEVs. The aim of the research is to come up with a framework that examines how to modify the consumer’s environmental concerns in acquiring PHEVs. This will pave the way for more academic research and future works that can emphasize how to obtain empirical results. The authors’ recommendation is that, before a consumer’s behavior is assessed and considered, an observation of the current technology is needed with methods and knowledge of the existing technology adoption aspect.     

Panel Calls Beneficiation-FGD Combination “Most Economical,Best Ail-Around Choice”

The Commerce Technical Advisory Board (CTAB) Panel on Sulfur Oxide mission Control Technology was established in the spring of_1975 by the Secretary of Commerce in response to the urgent need for the use of coal to meet the Nation’s energy requirements, while maintaining the SO₂ emission standards resulting from the Clean Air Act of 1970.

The Panel’s 20 members and 11 consultants, drawn broadly from industry, government, and academia are highly qualified in the diverse fields pertinent to SO_x control technologies. They committed themselves to make an objective analysis of how soon, at what cost, and with what trade-offs commercially available SO₂ continuous emissions controls can be installed, with arrangements for waste disposal, in all coal-fifed electricity generating plants in the populous Northeastern quadrant of the United States.

In its final report, submitted on September 10, 1975 to Dr. Betsy Ancker-Johnson, Assistant Secretary for Science and Technology, U. S.Department of Commerce, and Chairman of the Commerce Technical Advisory Board, the Panel concludes that installation and operation of continuous SO_x emission controls on all Northeastern coal-fired electricity generating plants cannot be met until the early 1980’s, and then only with a maximum effort beginning immediately. Specific site and market constraints will determine the most economical and practical control technology for any given plant. The Panel believes that coal beneficiation, alone where it meets standards, or combined with lime/limestone flue gas desulfurization, often represents the lowest cost control technique.     

Evaluation of carbon emission reductions promoted by private driving restrictions based on automatic fare collection data in Beijing,China

Public transportation automatic fare collection (AFC) systems are able to continuously record large amounts of passenger travel information, providing massive, low-cost data for research on regulations pertaining to public transport. These data can be used not only to analyze characteristics of passengers’ trips but also to evaluate transport policies that promote a travel mode shift and emission reduction. In this study, models combining card, survey, and geographic information systems (GIS) data are established with a research focus on the private driving restriction policies being implemented in an ever-increasing number of cities. The study aims to evaluate the impact of these policies on the travel mode shift, as well as relevant carbon emission reductions. The private driving restriction policy implemented in Beijing is taken as an example. The impact of the restriction policy on the travel mode shift from cars to subways is analyzed through a model based on metro AFC data. The routing paths of these passengers are also analyzed based on the GIS method and on survey data, while associated carbon emission reductions are estimated. The analysis method used in this study can provide reference for the application of big data in evaluating transport policies.

Implications: Motor vehicles have become the most prevalent source of emissions and subsequently air pollution within Chinese cities. The evaluation of the effects of driving restriction policies on the travel mode shift and vehicle emissions will be useful for other cities in the future. Transport big data, playing an important support role in estimating the travel mode shift and emission reduction considered, can help related departments to estimate the effects of traffic jam alleviation and environment improvement before the implementation of these restriction policies and provide a reference for relevant decisions.     

Variations in the Emissions of Volatile Organic Compounds from the Toner for a Specific Photocopier

ABSTRACT

A laboratory thermal desorption apparatus was used to measure emissions from a number of nominally identical photocopier toners—manufactured to meet the specifications of one specific model copier—when these toners were heated to fuser temperature (180-200 °C). The objective was to assess how potential volatile organic compound (VOC) emissions from the toner for a given copier can vary, depending upon the production run and the supplier. Tests were performed on a series of toner (and associated raw polymer feedstock) samples obtained directly from a toner manufacturer, representing two production runs using a nonvented extrusion process, and on toner cartridges purchased from two local retailers, representing three different production lots (histories unknown). The results showed that the retailer toners consistently had up to 350% higher emissions of some major compounds (expressed as |ig of compound emit-ted/g of toner), and up to 100% lower emissions of others, relative to the manufacturer toners (p ≤ 0.01). The manufacturer toners from one production run had emissions of certain compounds, and of total VOCs, that were modestly higher (13-18%) than those from the other run (p ≤ 0.01). The emission differences between the retailer and manufacturer toners are probably due to differences     

Influencing factors of carbon emissions and their trends in China and India: a machine learning method

China and India are the largest coal consumers and the most populated countries in the world. With industrial and population growth, the need for energy has increased, which has inevitably led to an increase in carbon dioxide (CO₂) emissions because both countries depend on fossil fuel consumption. This paper investigates the impact of energy consumption, financial development (FD), gross domestic product (GDP), population, and renewable energy on CO₂ emissions. The study applies the long short-term memory (LSTM) method, a novel machine learning (ML) approach, to examine which influencing driver has the greatest and smallest impact on CO₂ emissions; correspondingly, this study builds a model for CO₂ emission reduction. Data collected between 1990 and 2014 were analyzed, and the results indicated that energy consumption had the greatest effect and renewable energy had the smallest impact on CO₂ emissions in both countries. Subsequently, we increased the renewable energy coefficient by one and decreased the energy consumption coefficient by one while keeping all other factors constant, and the results predicted with the LSTM model confirmed the significant reduction in CO₂ emissions. Finally, this study forecasted a CO₂ emission trend, with a slowdown predicted in China by 2022; however, CO₂ emission’s reduction is not possible in India until 2023. These results suggest that shifting from nonrenewable to renewable sources and lowering coal consumption can reduce CO₂ emissions without harming economic development.

     

Understanding consumer participation in managing ICT waste: Findings from two-staged Structural Equation Modeling–Artificial Neural Network approach

Environmental Science and Pollution Research - For environmental management, the role of consumers is extremely important in the settings of reverse logistics. Though it is a manufacturer’s...     

Full-Scale Evaluation of Mercury Control with Sorbent Injection and COHPAC at Alabama Power E.C. Gaston

Abstract

The overall objective of this project was to determine the cost and impacts of Hg control using sorbent injection into a Compact Hybrid Particulate Collector (COHPAC) at Alabama Power’s Gaston Unit 3. This test is part of a program funded by the U.S. Department of Energy’s National Energy Technology Laboratory (NETL) to obtain the necessary information to assess the costs of controlling Hg from coal-fired utility plants that do not have scrubbers for SO₂ control. The economics will be developed based on various levels of Hg control.

Gaston Unit 3 was chosen for testing because COHPAC represents a cost-effective retrofit option for utilities with existing electrostatic precipitators (ESPs). COHPAC is an EPRI-patented concept that places a high air-to-cloth ratio baghouse downstream of an existing ESP to improve overall particulate collection efficiency. Activated carbons were injected upstream of COHPAC and downstream of the ESP to obtain performance and operational data.

Results were very encouraging, with up to 90% removal of Hg for short operating periods using powdered activated carbon (PAC). During the long-term tests, an average Hg removal efficiency of 78% was measured. The PAC injection rate for the long-term tests was chosen to maintain COHPAC cleaning frequency at less than 1.5 pulses/bag/hr.     

Exploring the influencing factors of carbon neutralization in Chinese manufacturing enterprises

One of the key issues facing the government in achieving carbon neutrality is what methods can be used to effectively reduce carbon emissions. Taking manufacturing enterprises as an example, this paper studies the carbon emission reduction effects of green technology innovation subsidy (GIS), carbon tax (CT), and carbon emission trading (CET). Under the background of social welfare and carbon emission reduction efficiency, we get the results of optimal carbon emission reduction measures in different environments. The results are as follows: (1) In the initial and mature stage of green technology innovation, GIS is the best choice to improve the degree of green manufacturing and maximize social welfare. CT and CET are the best choice to obtain the highest SE (carbon emission reduction efficiency). (2) In the transitional stage, CET and CT can promote the maturity of green technology. However, with the maturity of green technology, the promotion of green technology has weakened. CT is the best choice to achieve the highest SE. (3) When the carbon tax or carbon trading price is at a high or low level, raising the tax rate or carbon trading price can increase the income of enterprises. Therefore, the government should take measures according to the objectives of different stages. When the goal is to maximize social benefits, GIS is the best choice in the initial stage and transition stage, and CET or CT is the best choice in the transition stage. In the initial stage and fertilization stage, when the highest SE, CT, or CET is the best choice, while in the transition stage, CT is the best choice.

     

Cooperative carbon emission reduction through the Belt and Road Initiative

Environmental Science and Pollution Research - Carbon emission reduction under the Belt and Road Initiative has great significance on China’s goal of carbon peak. To better promote carbon...     

Estimating Innovative Technology Costs for the SITE Program

Among the objectives of the EPA’s Superfund Innovative Technology Evaluation (SITE) Program are two which pertain to the issue of economics: 1. That the program will provide a projected cost for each treatment technology demonstrated.

2. That the program will attempt to identify and remove impediments to the development and commercial use of alternative technologies.¹

The SITE Program has fostered a special relationship between elements of the public and private sector. In turn, this has created a unique set of problems. These problems are most apparent where objectives of the public and private sector conflict, as in the area of cost economics. One concern of the SITE Program is to provide the public with an impartial analysis of each technology’s cost. Just as important is the need to be sensitive to the demands of the competitive economic environment which face every firm selling innovative technology (especially when the goal is to promote the commercial use of new technologies).

An early concern of the SITE Program was to design a methodology for projecting and reporting costs which tried to balance the needs of these two groups. Toward this end, four issues were identified which were thought to have a significant impact on the SITE Program's ability to generate useful cost projections. An analysis of these issues led to the creation of a simple five-part cost methodology. This paper will review the nature of these problems and will describe the methodology which addresses them. Finally, a review of cost data gathered from the first nine demonstrations will be presented.     

Changes in carbon emission performance of energy-intensive industries in China

Environmental Science and Pollution Research - As the major energy consumers, energy-intensive industries are the key players in achieving carbon emission reduction targets. The paper builds a...     

New Jersey Repair Project: Tune-Up at Idle

Idle hydrocarbon and carbon monoxide measurements have been made on over 2500 cars at a New Jersey Inspection Station. These studies have shown that the idle test can be integrated into the present periodic motor vehicle inspection system with a minimum cost, testing time, and ease of operation.

Instrumentation at a low cost has recently become available, test procedures have been developed and potential emission reductions have been demonstrated for idle testing. High emissions indicate a car malfunction and the need for a tune-up. Effective low cost tune-ups can be made with exhaust instrumentation and garage training.

In the New Jersey REPAIR Project, preliminary idle cut-off levels were selected at 6% carbon monoxide and 1000 ppm hydrocarbon for pre-68 cars, 4% and 500 ppm for 1968–69 cars, and 3% and 300 ppm for later years. Volunteered vehicles which exceeded these levels were further tested at the New Jersey laboratory. Federal hot cycles, ACID mass cycles, Key Mode, and Idle tests were conducted before and after maintenance.

At idle, uncontrolled pre-1968 vehicles had an average reduction from 8.2 to 3.3% carbon monoxide and 2153 to 459 ppm hydrocarbons as hexane. Average mass reductions from the ACID-cycle were 45 g/mi CO and 6.3 g/mi hydrocarbons. Carbon monoxide idle reductions obtained for emission controlled 1968, 1969, and 1970 cars were about equal to those obtained for the pre-emission controlled vehicles, but hydrocarbon reductions were lower. Reductions obtained in federal hot cycles were from 4.1 to 2.1% CO and 1418 to 580 ppm hydrocarbons for pre-1968 cars, and 2.6 to 0.7% and 502 to 308 ppm for 1968–1969 cars.

Idle adjustments lower emissions in the idle, deceleration, and cruise modes up to 30 mph, thus urban driving areas should show the greatest reduction. Total motor vehicle emission reduction in New Jersey would be about 920,000 ton/yr of CO and 101,000 ton/yr of hydrocarbon; a 20 and 32% reduction.     

Research on influencing factors of carbon information disclosure quality in China’s power industry

Environmental Science and Pollution Research - High-quality carbon information disclosure is required with the development of China’s national carbon emission trading market. It is still...     

Industrialization,urbanization, and carbon emission efficiency of Yangtze River Economic Belt—empirical analysis based on stochastic frontier model

Carbon emission efficiency directly determines the level of green economic development. Based on the panel data of China’s Yangtze River Economic Belt (YEB) from 2008 to 2017, this paper uses the stochastic frontier analysis (SFA) model to analyze the overall carbon emission efficiency level, influencing factors, and changing trends, with a view to discussing the relationship between economic development and carbon emission efficiency. The results suggest, first, the overall carbon emission efficiency of the YEB is on an upward trend, but there is still much room for improvement. Second, the impact of industrialization and urbanization on carbon emission efficiency follows a U-shaped. As industrialization and urbanization progress, the impact on carbon emission efficiency shows a downward and then upward trend. Third, due to the rebound effect, technological progress has a slight negative impact on carbon emission efficiency. Energy consumption structure, government intervention, and foreign trade are all negative incentive factors. Therefore, efforts to improve carbon emission efficiency in the YEB should focus on transforming the economic growth model, adjusting the industrial structure, improving the energy consumption structure, and innovating green technology. The research results can provide a reference for the government policymakers to develop a green economy.

     

Variations in the emissions of volatile organic compounds from the toner for a specific photocopier

A laboratory thermal desorption apparatus was used to measure emissions from a number of nominally identical photocopier toners--manufactured to meet the specifications of one specific model copier--when these toners were heated to fuser temperature (180-200 degrees C). The objective was to assess how potential volatile organic compound (VOC) emissions from the toner for a given copier can vary, depending upon the production run and the supplier. Tests were performed on a series of toner (and associated raw polymer feedstock) samples obtained directly from a toner manufacturer, representing two production runs using a nonvented extrusion process, and on toner cartridges purchased from two local retailers, representing three different production lots (histories unknown). The results showed that the retailer toners consistently had up to 350% higher emissions of some major compounds (expressed as microgram of compound emitted/g of toner), and up to 100% lower emissions of others, relative to the manufacturer toners (p < or = 0.01). The manufacturer toners from one production run had emissions of certain compounds, and of total VOCs, that were modestly higher (13-18%) than those from the other run (p < or = 0.01). The emission differences between the retailer and manufacturer toners are probably due to differences in the manufacturing processes and/or feedstocks used to produce the toners from these different sources.