scholarly journals Emission trading systems and the optimal technology mix

SERIEs ◽  
2021 ◽  
Author(s):  
Gregor Zoettl
Keyword(s):  
Emission Trading ◽  
Investment Incentives ◽  
Cap And Trade ◽  
Production Decisions ◽  
Trading Systems ◽  
Lump Sum ◽  
Optimal Technology ◽  
Environ Resour Econ ◽  
The Impact ◽  
Shed Light

AbstractCap and trade mechanisms enjoy increasing importance in environmental legislations worldwide. One of the important aspects of designing cap and trade mechanisms is the possibility of authorities to grant emission permits for free. Unlike analyzed in the seminal contributions on cap and trade systems, in reality free allocations are not made lump sum, but are updated contingent on firms’ actions, i.e., contingent on production decisions and contingent on facilities entering the market or retiring (see IEA, https://www.oecd-ilibrary.org/content/publication/b7d0842b-en, 2020). As it has already been shown in the literature, such updating yields distorted production decisions of firms (see e.g., Böhringer and Lange in Eur Econ Rev 49(8):2041–2055, 2005, Mackenzie et al. in Environ Resour Econ 39(3):265–282, 2008, or Damon et al. in Rev Environ Econ Policy 13(1):23–42, 2019). The impact of updating on firms’ investment and retiring decisions and the resulting technology mix has received much less attention up to now, however. It is the purpose of the present article to shed light on this aspect and to study the impact of a cap and trade mechanism not only on firms’ output decisions, but also on their investment incentives in different technologies and to analyze the optimal design of emission trading systems in such an environment.

Examining the Impact and Influencing Channels of Emission Trading Pilot Markets in China

2020 ◽  
Vol 11 (1) ◽  
pp. 136-136
Author(s):  
Qiong Wu ◽  
Kanittha Tambunlertchai ◽  
Pongsa Pornchaiwiseskul
Keyword(s):  
Total Factor Productivity ◽  
Co2 Emission ◽  
Carbon Emission ◽  
Emission Trading ◽  
Chinese Government ◽  
Synergy Effect ◽  
Factor Productivity ◽  
Plan Period ◽  
Carbon Emission Trading ◽  
The Impact

The global warming has become a serious issue in the world since the 1980s. The targets for the first commitment period of the Kyoto Protocol cover emissions of the six main greenhouse gasses (GHGs). China is the world's largest CO2 emitter and coal consumer and was responsible for 27.3 percent of the global total CO2 emission and 50.6 percent of the global total coal consumption in 2016 (BP, 2017). As China plays an important role in the global climate change, China has set goals to improve its environmental efficiency and performance. In 2011, the Chinese government for the first time announced an intent to establish carbon emission trading market in China. Eight regional emission trading schemes have been operating since 2013 (seven pilot markets during the 12th Five Year Plan period and one pilot market during the 13th Five Year Plan period) including provinces of Guangdong, Hubei, and Fujian, and cities of Beijing, Tianjin, Shanghai, Shenzhen, and Chongqing. The goal of these regional emission trading pilot markets is to help the government establish an efficient carbon emission trading scheme at national level. Some researchers have been focused on examining the impact of emission trading schemes in China using CGE model by constructing different scenarios and ex-ante analysis using data prior to emission trading pilot markets implementation. While this paper tries to conduct an ex-post analysis with data of 2005-2017 to evaluate the impact of emission trading pilot markets in China at provincial level using difference-in-difference (DID) model. By including both CO2 and SO2 as undesirable outputs to calculate Malmquist-Luenberger (ML) Index to measure green total factor productivity, this paper plans to evaluate the impact of carbon emission trading pilot markets in China via emission reduction, regional green development, synergy effect and influencing channels. This paper tries to answer the following research questions: (1) Do emission trading pilot markets reduce CO2 emission and increase regional green total factor productivity? (2) Is there any synergy effect from emission trading pilot markets? (3) What are the influencing channels of emission trading pilot markets? Keywords: Emission trading, CO2 emissions, Different-in-difference

It Is More Than Language

2020 ◽  
pp. 79-98
Author(s):  
Dianne Toe ◽  
Louise Paatsch ◽  
Amy Szarkowski
Keyword(s):  
Specific Area ◽  
Cooperative Interaction ◽  
Social And Emotional Development ◽  
Children And Young People ◽  
Social And Emotional ◽  
The Social ◽  
Pragmatic Skills ◽  
Social Use ◽  
The Impact ◽  
Shed Light

Deaf and hard-of-hearing (DHH) children who use spoken language face unique challenges when communicating with others who have typical hearing, particularly their peers. In such contexts, the social use of language has been recognized as an area of vulnerability among individuals in this population and has become a focus for research and intervention. The development of pragmatic skills intersects with many aspects of child development, including emotional intelligence and executive function, as well as social and emotional development. While all these areas are important, they are beyond the scope of this chapter, which highlights the impact of pragmatics on the specific area of cognition. Cognitive pragmatics is broadly defined as the study of the mental processes involved in the understanding of meaning in the context of a cooperative interaction. This chapter explores how DHH children and young people construe meaning in the context of conversations and expository interactions with their peers. The chapter aims to examine the role played by the cognitive processes of making inferences and comprehending implicature, within the overall display of pragmatic skills. Further, the authors use this lens in the analysis of interactions between DHH children and their peers in order to shed light on the development of pragmatic skills in children who are DHH.

Does a carbon emissions trading scheme spur urban green innovation? Evidence from a quasi-natural experiment in China

2021 ◽  
pp. 0958305X2110153
Author(s):  
Chao Li ◽  
Xiangyou Li ◽  
Deyong Song ◽  
Meng Tian
Keyword(s):  
Energy Conservation ◽  
Alternative Energy ◽  
Positive Impact ◽  
Emission Trading ◽  
Green Innovation ◽  
Urban Green ◽  
Carbon Emissions Trading ◽  
The Government ◽  
Trading Scheme ◽  
The Impact

Based on the panel data of 277 cities between 2003 and 2017 and a unique city-level dataset of green patent applications, this study employs the difference-in-differences (DID) method to evaluate the effect of China’s carbon emission trading scheme (ETS) pilots on urban green innovation. The findings indicate that China’s ETS pilots have a positive impact on urban green innovation, and that impact is more significant for municipalities than for prefecture-level cities. Furthermore, the impact on different categories of urban green innovation is heterogeneous. More specifically, China’s ETS pilots have significantly spurred urban green innovation that is closely related to energy conservation and emission reduction, including alternative energy production, transportation, energy conservation and so forth. Moreover, the facilitating effect of China’s ETS pilots on urban green innovation suffers from a lagging effect, which began to show a significant positive effect in 2016. Overall, this paper identifies the effect of China’s ETS pilots on urban green innovation, and suggests that the government should consider the heterogeneity of urban green innovation when designing national ETS policies.

scholarly journals Investment Incentives in Competitive Electricity Markets

2018 ◽  
Vol 8 (10) ◽  
pp. 1978 ◽  
Author(s):  
Jaber Valinejad ◽  
Taghi Barforoshi ◽  
Mousa Marzband ◽  
Edris Pouresmaeil ◽  
Radu Godina ◽  
...  
Keyword(s):  
Electricity Markets ◽  
Electricity Market ◽  
Planning Horizon ◽  
Optimization Method ◽  
Design Criterion ◽  
Mixed Integer ◽  
Investment Incentives ◽  
Mixed Integer Linear Program ◽  
Interconnected Power System ◽  
The Impact

This paper presents the analysis of a novel framework of study and the impact of different market design criterion for the generation expansion planning (GEP) in competitive electricity market incentives, under variable uncertainties in a single year horizon. As investment incentives conventionally consist of firm contracts and capacity payments, in this study, the electricity generation investment problem is considered from a strategic generation company (GENCO) ′ s perspective, modelled as a bi-level optimization method. The first-level includes decision steps related to investment incentives to maximize the total profit in the planning horizon. The second-level includes optimization steps focusing on maximizing social welfare when the electricity market is regulated for the current horizon. In addition, variable uncertainties, on offering and investment, are modelled using set of different scenarios. The bi-level optimization problem is then converted to a single-level problem and then represented as a mixed integer linear program (MILP) after linearization. The efficiency of the proposed framework is assessed on the MAZANDARAN regional electric company (MREC) transmission network, integral to IRAN interconnected power system for both elastic and inelastic demands. Simulations show the significance of optimizing the firm contract and the capacity payment that encourages the generation investment for peak technology and improves long-term stability of electricity markets.

The effect of Medicare Part D on prescription drug composition and demand

2015 ◽  
Vol 42 (2) ◽  
pp. 170-185 ◽  
Author(s):  
David Zimmer
Keyword(s):  
Prescription Drug ◽  
Medicare Part D ◽  
Medicare Part ◽  
Part D ◽  
Content Type ◽  
The Us ◽  
Upper Respiratory ◽  
Nationally Representative ◽  
The Impact ◽  
Shed Light

Purpose – The US Medicare Modernization Act of 2003 introduced optional prescription drug coverage, beginning in 2006, widely known as Medicare Part D. This paper uses up-to-date nationally representative survey data to investigate the impact of Part D not only on drug spending and consumption, but also on the composition of drug consumption. The paper aims to discuss these issues. Design/methodology/approach – Specifically, the paper investigates whether Part D impacted the number of therapeutic classes for which drugs were prescribed, and also whether Part D lead to increased usage of drugs for specific medical conditions that typically receive drug-intensive therapies. Findings – In addition to confirming findings from previous studies, this paper shows that Part D increased the number of therapeutic classes to which seniors receive drugs by approximately four classes. Part D also lead to increased usage of drugs used to treat upper respiratory disease, hypertension, and diabetes. Originality/value – While mostly concurring with previous studies on the spending impacts of Part D, this paper is the first to shed light on other impacts of Part D, specifically with respect to its impact on therapeutic classes for which drugs are prescribed.

scholarly journals Optimality of index policies for stochastic scheduling with switching penalties

1992 ◽  
Vol 29 (04) ◽  
pp. 957-966 ◽  
Author(s):  
Mark P. Van Oyen ◽  
Dimitrios G. Pandelis ◽  
Demosthenis Teneketzis
Keyword(s):  
Optimal Policy ◽  
Time Delays ◽  
Stochastic Scheduling ◽  
Optimal Scheduling ◽  
Scheduling Policies ◽  
Parallel Queues ◽  
Lump Sum ◽  
Index Policies ◽  
Service Policy ◽  
The Impact

We investigate the impact of switching penalties on the nature of optimal scheduling policies for systems of parallel queues without arrivals. We study two types of switching penalties incurred when switching between queues: lump sum costs and time delays. Under the assumption that the service periods of jobs in a given queue possess the same distribution, we derive an index rule that defines an optimal policy. For switching penalties that depend on the particular nodes involved in a switch, we show that although an index rule is not optimal in general, there is an exhaustive service policy that is optimal.

Publishing Productivity in Sport Psychology 1970–2000: An Exploratory Examination of the Lotka-Price Law

2003 ◽  
Vol 25 (4) ◽  
pp. 477-483 ◽  
Author(s):  
Joseph Baker ◽  
Jennifer Robertson-Wilson ◽  
Whitney Sedgwick
Keyword(s):  
Sport Psychology ◽  
Scientific Productivity ◽  
Eminent Scientist ◽  
Research Papers ◽  
Limited Support ◽  
The Impact ◽  
Published Research ◽  
Shed Light

The current study examined whether the distribution of published research papers in the field of sport psychology followed the Lotka-Price Law of scientific productivity. All authors who had published articles in five sport psychology journals from 1970 to 2000 were considered. The impact of those authors was determined by the total number of published papers in all journals. Results provided limited support for the Lotka-Price Law; however, it appeared that the field of sport psychology was less elitist than other fields. Although these findings suggest that productivity in this field is similar to that in other fields of science, more research is needed to shed light on the role of the eminent scientist and the average researcher in the advancement of knowledge in sport psychology.

scholarly journals Benznidazole Treatment following Acute Trypanosoma cruzi Infection Triggers CD8+ T-Cell Expansion and Promotes Resistance to Reinfection

2002 ◽  
Vol 46 (12) ◽  
pp. 3790-3796 ◽  
Author(s):  
Bianca Perdigão Olivieri ◽  
Vinícius Cotta-de-Almeida ◽  
Tania Araújo-Jorge
Keyword(s):  
T Lymphocytes ◽  
Trypanosoma Cruzi ◽  
Immune Regulation ◽  
Immune Dysregulation ◽  
Direct Role ◽  
Parasite Replication ◽  
The Impact ◽  
Shed Light ◽  
Cruzi Infection

ABSTRACT Many studies have shed light on the mechanisms underlying both immunoprotection and immune dysregulation arising after Trypanosoma cruzi infection. However, little is known about the impact of benznidazole (N-benzyl-2-nitroimidazole acetamide), the drug available for clinical treatment of the infection, on the immune system in the infected host. In the present study we investigated the effect of benznidazole therapy on the lymphoid compartment during the course of experimental T. cruzi infection. Although amelioration of a variety of clinical and parasitological signs was observed in treated mice, amelioration of splenocyte expansion was not detected. Interestingly, this sustained splenomegaly observed in benznidazole-treated mice showed a preferential expansion of CD8+ T lymphocytes. Moreover, although benznidazole treatment blocked the expansion of recently activated CD4+ and CD8+ T cells seen in infected hosts, benznidazole treatment led to a selective expansion of effector and memory CD8+ T lymphocytes in association with a lower rate of apoptosis. In addition, the surviving treated animals were protected from reinfection. Together, these data suggest that, in addition to its well-known direct role in blocking parasite replication in vivo, benznidazole appears to directly affect immune regulation in T. cruzi-infected hosts.

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