Optimized scheduling of integrated energy systems for low carbon economy considering carbon transaction costs

With the introduction of the“dual carbon”goal and the continuous promotion of low-carbon development,the integrated energy system(IES)has gradually become an effective way to save energy and reduce emissions.This study proposes a low-carbon economic optimization scheduling model for an IES that considers carbon trading costs.With the goal of minimizing the total operating cost of the IES and considering the transferable and curtailable characteristics of the electric and thermal flexible loads,an optimal scheduling model of the IES that considers the cost of carbon trading and flexible loads on the user side was established.The role of flexible loads in improving the economy of an energy system was investigated using examples,and the rationality and effectiveness of the study were verified through a comparative analysis of different scenarios.The results showed that the total cost of the system in different scenarios was reduced by 18.04%,9.1%,3.35%,and 7.03%,respectively,whereas the total carbon emissions of the system were reduced by 65.28%,20.63%,3.85%,and 18.03%,respectively,when the carbon trading cost and demand-side flexible electric and thermal load responses were considered simultaneously.Flexible electrical and thermal loads did not have the same impact on the system performance.In the analyzed case,the total cost and carbon emissions of the system when only the flexible electrical load response was considered were lower than those when only the flexible thermal load response was taken into account.Photovoltaics have an excess of carbon trading credits and can profit from selling them,whereas other devices have an excess of carbon trading and need to buy carbon credits.

TRADE DEPENDENCIES AND TRANSACTION COSTS: THE OC-CUPATION OF DECELEA HIGHLIGHTS BOTH THE BENEFITS AND THE DRAWBACKS OF A MARITIME ECONOMY

Thucydides asserts that the occupation of Decelea by the Spartans in 413 BC made the grain supply for Athens costly by forcing the transport from land onto the sea.This calls into question the well-established consensus that sea transport was far cheaper than land transport.This paper contends that the cost of protecting supply lines-specifically the expenses associated with the warships which escorted the supply ships-rendered the grain transported on the new route exceptionally costly.In this paper,the benefits and drawbacks of a maritime economy,including transaction costs,trade dependencies,and the capabilities of warships and supply ships are discussed.

Optimal proportional reinsurance and dividend payments with transaction costs and internal competition

We study the dividend optimization problem for an insurance company under the consideration of internal competition between different units inside company and transaction costs when dividends occur. The management of the company controls the reinsurance rate, the timing and the amount of dividends paid out to maximize the expected total dividends paid out to the shareholders until ruin time. By solving the corresponding quasi-variational inequality, we obtain the optimal return function and the optimal strategy.

FOREIGN CURRENCY OPTION PRICING WITH PROPORTIONAL TRANSACTION COSTS

The purpose of present work is to examine the financial problem of finding the universal reservation prices of a European call option written on exchange rate when there is proportional transaction costs of trading foreign currency in the market. An approach is suggested to compute the reservation bid-ask price of foreign currency call option based on maximizing the investor＇s expected utility. Option prices are determined from the investor＇s basic portfolio selection problem, without the need to solve a more complex optimization problem involving the insertion of the option payoffs into the terminal value function. Option prices are computed numerically in a Markov chain approximation for the case of exponential utility. Numerical results show that the option price bounds are almost independent of the alternative risk aversion parameter, but the bounds of NT region becomes narrower and the range of values of the initial holding for which the fair price lies within the bid-ask spread is shifted to a lower value when the risk aversion parameter increases.

Transaction Costs in Global Ecology Policy-Making

Global environmental meeting, legislating a reduction in the emission of greenhouse gases for planet earth, is what mankind now hopes for, having realized the enormous dangers in the process of climate change. Global warming is no longer denied by the so-called cornucopians （e.g. Lomberg）, but global policy-making originating in reunions of 190 governments or more stumble on collective action difficulties, spelled out in game theory. Paris will not succeed where Copenhagen failed, namely to arrive at a binding and enforceable global environment policy that will be implemented before it is too late. Instead, there will be massive transaction costs from negotiating and re-negotiating, endless voting, the making of promises exante and reneging ex post, as well as the futile attempts at any enforcement action, given state sovereignty. Mankind will have to learn how to cope with the outcomes of global warming, as resilience is the only hope.

Optimal investment with transaction costs based on exponential utility function:a parabolic double obstacle problem

This paper concerns optimal investment problem with proportional transaction costs and finite time horizon based on exponential utility function. Using a partial differential equation approach, we reveal that the problem is equivalent to a parabolic double obstacle problem involving two free boundaries that correspond to the optimal buying and selling policies. Numerical examples are obtained by the binomial method.

Matrix decomposition and Lagrangian dual method for discrete portfolio optimization under concave transaction costs

In this paper, the discrete mean-variance model is considered for portfolio selection under concave transaction costs. By using the Cholesky decomposition technique, the convariance matrix to obtain a separable mixed integer nonlinear optimization problem is decomposed. A brand-and-bound algorithm based on Lagrangian relaxation is then proposed. Computational results are reported for test problems with the data randomly generated and those from the US stock market.

Transaction costs for collaboration in the watershed management of the Cuyahoga River Area of Concern

This study examines the transaction costs of collaborative watershed management in the Cuyahoga River Area of Concern(AOC)—one of the 43 geographic areas designated by the U.S.and Canada Great Lakes Water Quality Agreement(GLWQA),where significant impairment of beneficial uses has occurred as a result of human activities.The Cuyahoga River is located in Northeast Ohio,the U.S.and flows through the City of Cleveland before draining into Lake Erie—one of the five Great Lakes of North America.The watershed is degraded due to municipal and agricultural discharges,streambank erosion,and contamination from urban and industrial sources.This research explores how a diverse group of stakeholders convened under the Cuyahoga River AOC Advisory Committee to share information,coordinate activities,agree on activities that restore beneficial uses,and support strategic management actions.In this study,23 semi-structured interviews with members of the advisory committee were conducted between January 28,2020 and April 20,2020,with follow-up emails and phone calls as needed to corroborate information.A review of research articles and government documents supported the interviews,including United States Environmental Protection Agency(U.S.EPA)and Ohio Environment Production Agency(OEPA)reports on the GLWQA and Cuyahoga River Remedial Action Plans.A third source of data is from direct participant observation at quarterly meetings of the advisory committee during 2017–2020,binational AOC conferences in 2017 and 2019,and other professional events geared towards restoring the Cuyahoga River AOC in 2016–2020.Results of this study include a set of recommendations to help guide group structure and decision-making processes,including(1)employing best available technology to organize AOC events and disseminate information;(2)supporting new members with an orientation and/or mentor to clearly define formal and informal committee rules;(3)assuring equal access to detailed information on management action plans with a real time dashboard;(4)updating voting procedures and the prioritization of management actions;and(5)better incorporating underrepresented local communities and highlevel decision makers from municipalities,government agencies,and nongovernmental organizations located within the Cuyahoga River AOC.Results help to explain the collaborative process within the advisory committee and measure the institutional performance of the advisory committee in terms of efficiency,equitability,accountability,and adaptability.

EXISTENCE OF EXPECTATION EQUILIBRIUM OF REAL ASSET ECONOMIES WITH TRANSACTION COSTS

To some two\|period economies with countable infinite state spaces, the existence of expectation equilibrium of real asset economies with transaction costs is given. This work extends the researches of Zame in 1993.

Cooperatives on Transaction Costs and An analysis based on a survey of apple-growing farmers

This paper presents an empirical analysis of the effect that participation in an agricultural cooperative has on the transaction costs and net income of apple- growing farmers in Shandong province. Compared with independent farming, agricultural cooperatives reduce transaction costs by 48 yuan/mu and increase farmers＇ net income by 321 yuan/mu. Other factors found to influence transaction costs and farmers＇net income were farmer＇s gender, educational attainment, farm size, the availability of market information, distance to market, and level of government support. Independent farmers＂ most common explanations for not participating in agricultural cooperatives were that doing so would not reduce transaction costs significantly and that the cooperatives would impede the autonomy of their decision-making.

A Probe into Economic Regionalization Theory Analysis Framework of Conflicts Between Scale Expansion and Transaction costs

The economic regionalization practice led by China local governments has gradually evolved into chaos. Local governments compete to declare for higher-leveled and large-scaled economic regions to obtain more economic resources and policy support in the way of policy game. The author argues that the regionalization chaos is attributed to the reason that the present theoretical support for economic regionalization overemphasizes the economic growth brought about by the economic regionalization but ignores the effect of transaction cost, which leads to constraint loss on the economic regionalization theory analysis framework. Then, the introduction of economic regionalization analysis framework based on the conflicts between scale expansion and transaction costs would establish equilibrium conditions to set up a moderate scale development for economic regions. The author hopes that the acceptance of this framework into the economic regionalization decision-making system would give guidance for making more appropriate regionalization decisions.

A variational inequality arising from European option pricing with transaction costs

In this paper we present a method which can transform a variational inequality with gradient constraints into a usual two obstacles problem in one dimensional case.The prototype of the problem is a parabolic variational inequality with the constraints of two first order differential inequalities arising from a two-dimensional model of European call option pricing with transaction costs.We obtain the monotonicity and smoothness of two free boundaries.

Mean-variance Hedging for Pricing European-type Contingent Claims with Transaction Costs

In this paper, a European-type contingent claim pricing problem withtransaction costs is considered by a mean-variance hedging argument. The investor has to paytransaction costs which are proportional to the amount of stock transacted. The writer's hedgingobject is to minimize the hedging risk, defined as the variance of hedging error at expiration, witha proper expected excess return level. At first, we consider the mean-variance hedging problem: forinitial hedging wealth f, maximizing the excess expected return under the minimum hedging risklevel V_0. On the other hand, we consider a mean-variance portfolio problem, which is to maximizethe expected return with initial wealth 0 under the same risk level V_0. The minimum initial hedgingwealth f, which can offset the difference of the maximum expected return of these two problems, isthe writer's price.

Optimization of risk policy and dividends with fixed transaction costs under interest rate

In this paper, we consider the dividend optimization problem for a financial corporation with transaction costs. Besides the dividend control, the financial corporation takes proportional reinsurance to reduce risk and the surplus earns interest at the constant force p 〉 0. Because of the presence of fixed transaction costs, the problem becomes a mixed classical-impulse stochastic control problem. We solve this problem explicitly and construct the value function together with the optimal policy

REAL ESTATE DEVELOPERS’CONCERNS ABOUT UNCERTAINTY IN BUILDING ENERGY EFFICIENCY(BEE)INVESTMENT-A TRANSACTION COSTS(TCS)PERSPECTIVE

Buildings account for 40% of global energy consumption and nearly one-third of global CO_(2) emissions;and the resulting carbon footprint significantly exceeds that of all forms of transportation combined. Attractive opportunities exist to reduce buildings’ energy use at lower costs and higher returns than in other sectors. This paper analyzes the concerns of uncertainty, in terms of transaction costs, to the real estate developers when they make decisions about investing in Building Energy Efficiency (BEE). To solicit views of developers regarding BEE investment, in-depth interviews were conducted with 15 executives and architects who work in big real estate development firms covering 80% of real estate activities in Hong Kong. This research applies transaction cost economics (TCE) to study the underlying reasons resulting from uncertainty that cause market reluctance to accept BEE by choice. It provides a detailed analysis of the current situation and future prospects for BEE adoption through studying the impacts from three aspects: economic, market and policy uncertainties. It delineates the market and suggests possible policy solutions to overcome the uncertainties and to attain the large-scale deployment of energy-efficient building techniques. The findings establish the groundwork for future studies on how to choose a particular policy package and what roles government should play to solve the existing problems in BEE development.

How Fast Does It Diverge? Discrete Hedging Error with Transaction Costs

In the present paper,we focus on the diverging behavior of discrecte hedging error with transaction costs.We added the hedging cost to the error directly.The main idea is to divide the hedging error into two parts:the pure hedging error and transaction cost of rebalance.The later part will be diverged when hedging number n goes to infinity.Firstly we show an upper bound of diverging part,which is O(√n)of rebalancing number n,then we prove both the upper bound and the lower bound of discrete hedging error with transaction costs are of√n order,finally we give an approximation of hedging error to determine the coefficient in front of√n.The main technique in the proof is Itô’s formula,L’Hopital’s rule and three important lemmas in[Yuri,Kabanov,Mher,Safarian.Markets with Transaction Costs.Springer-Verlag,Berlin,Heidelberg,2009].The numerical result support our theoretical conclusion.

CVaR-hedging and its applications to equity-linked life insurance contracts with transaction costs

This paper analyzes Conditional Value-at-Risk(CVaR)based partial hedging and its applications on equity-linked life insurance contracts in a Jump-Diffusion market model with transaction costs.A nonlinear partial differential equation(PDE)that an option value process inclusive of transaction costs should satisfy is provided.In particular,the closed-form expression of a European call option price is given.Meanwhile,the CVaR-based partial hedging strategy for a call option is derived explicitly.Both the CVaR hedging price and the weights of the hedging portfolio are based on an adjusted volatility.We obtain estimated values of expected total hedging errors and total transaction costs by a simulation method.Furthermore,our results are implemented to derive target clients’survival probabilities and age of equity-linked life insurance contracts.

Empirical Study of Mean-entropy Model with the Transaction Costs in Portfolio Selection

Entropy can be as a measurement of the uncertainty and mean-entropy optimization model can help investors to make decisions in the imperfect securities market. In this paper, the transaction costs will be added to the mean-entropy model, which makes the model more rational and objective. The empirical study is done in twenty stocks of Shanghai Stock Exchange A Share to verify the model＇s feasibility and effectiveness.

Optimal Dividend-Equity Issuance Strategy in a Dual Model with Fixed and Proportional Transaction Costs

In this paper, we consider the problem of optimal dividend payout and equity issuance for a company whose liquid asset is modeled by the dual of classical risk model with diffusion. We assume that there exist both proportional and fixed transaction costs when issuing new equity. Our objective is to maximize the expected cumulative present value of the dividend payout minus the equity issuance until the time of bankruptcy,which is defined as the first time when the company＇s capital reserve falls below zero. The solution to the mixed impulse-singular control problem relies on two auxiliary subproblems： one is the classical dividend problem without equity issuance, and the other one assumes that the company never goes bankrupt by equity issuance.We first provide closed-form expressions of the value functions and the optimal strategies for both auxiliary subproblems. We then identify the solution to the original problem with either of the auxiliary problems. Our results show that the optimal strategy should either allow for bankruptcy or keep the company＇s reserve above zero by issuing new equity, depending on the model＇s parameters. We also present some economic interpretations and sensitivity analysis for our results by theoretical analysis and numerical examples.

The Application of Transaction Cost Theory in Supply Chain Management

In the context of globalization and digitalization, the application of transaction cost theory in supply chain management has become increasingly important. As business environments grow more complex, enterprises face challenges in effectively managing supply chain transaction costs. This paper systematically explores the application of transaction cost theory in supply chain management, covering key areas such as supplier selection, supply chain integration, and risk management. The research finds that supplier evaluation models based on transaction costs can help enterprises make more comprehensive selection decisions. In terms of supply chain integration, transaction cost theory provides important guidance for vertical integration decisions and the design of collaboration mechanisms. The application of digital technologies has both reduced traditional transaction costs and introduced new cost considerations. Faced with emerging risks such as cybersecurity and geopolitical issues, enterprises need to adopt dynamic transaction cost management strategies. In the future, the application of transaction cost theory in supply chain management will likely place greater emphasis on interdisciplinary integration and sustainable development, providing theoretical support for enterprises to achieve efficient, flexible, and sustainable supply chain management in the changing global business environment.