Research on the impact of financial transmission rights on transmission expansion: A system dynamics model

Energy ◽  
2022 ◽  
Vol 239 ◽  
pp. 121893
Author(s):  
Zhongqun Wu ◽  
Ruijin Zheng
2019 ◽  
Vol 11 (14) ◽  
pp. 3995 ◽  
Author(s):  
Roberto Pasqualino ◽  
Irene Monasterolo ◽  
Aled Jones

In 1972, The Limits to Growth, using the World3 System Dynamics model, modeled for the first time the long-term risk of food security, which would emerge from the complex relation between capital and population growth within the limits of the planet. In this paper, we present a novel system dynamics model to explore the short-term dynamics of the food and energy system within the wider global economic framework. By merging structures of the World3, Money, and Macroeconomy Dynamics (MMD) and the Energy Transition and the Economy (ETE) models, we present a closed system global economy model, where growth is driven by population growth and government debt. The agricultural sector is a general disequilibrium productive sector grounded on World3, where capital investment and land development decisions are made to meet population food need, thus generating cascade demands for the energy and capital sector. Energy and Capital Sectors employ a more standard economic approach in line with MMD and ETE. By taking into account the role of financial, real, and natural capital, the model can be used to explore alternative scenarios driven by uncertainty and risk, such as climate extreme events and their impacts on food production. The paper presents scenario analysis of the impact of an exogenous price, production, and subsidies shock in the food and/or energy dimensions on the economic system, understanding the sources of potential cascade effects, thus providing a systemic risk assessment tool to inform global food security policies.


2019 ◽  
Vol 11 (21) ◽  
pp. 6045 ◽  
Author(s):  
Qiang Yan ◽  
Simin Zhou ◽  
Xiaoyan Zhang ◽  
Ye Li

In this paper, we build a causal interaction diagram between the factors that may influence the sales and profits of online stores. An online store’s real operation data were used to help determine the causal relationship between variables. Finally, we proposed a system dynamics model and conducted a simulation of the operation of an online store. In this model, we focused on the impact of promotion and positive/negative electronic word of mouth (e-WOM) on the sales and profits of the online stores. The simulation results showed a similar trend to the real data and the main research finding showed that promotion is not a long-term measure for the sustainable development of online stores. Excessive promotion effort may lead to consumers’ dissatisfaction leading the increase of negative e-WOM. The systematic simulation can help us understand better the long-term effect of promotion and e-WOM on the operation of online stores. Finally, we gave some management suggestions for online stores’ sustainable operations.


2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Zili Tai ◽  
Ji Guo ◽  
Yeli Guan ◽  
Qingquan Shi

Since the end of 2019, the outbreak of COVID-19 has severely affected port production and operation. There is little research on the systematic impact assessment. This study took Shanghai Port as an example and evaluated the impact under different scenarios through establishing a System Dynamics model. It is found that the epidemic mainly has a greater impact on passenger transport, but less on cargo transport. The ports with the function of transportation in highway, railway, and waterway were the key nodes in the international logistics network. More attention should be paid to the impact assessment of COVID-19 on ports’ production and operation. It is necessary to strengthen the port’s collection and distribution capabilities, improve port production efficiency, and further strengthen port modernization. This research method proposed in this paper can provide a reference for the impact assessment of similar events, and the empirical results can provide a reference for handling the epidemic shock for the port and shipping departments.


2020 ◽  
Vol 12 (16) ◽  
pp. 6511
Author(s):  
Mudhafar Alefari ◽  
Mohammed Almanei ◽  
Konstantinos Salonitis

Employee performance is dynamic and can have great impact on the overall performance of any company and its sustainability. A number of factors that can be controlled by the company can affect the employees’ performance. The present paper starts with a thorough literature review for identifying these key driving in order to develop a system dynamics models that will be able to assess different improvement scenarios and initiatives. Based on causal loop diagrams, stock and flow diagrams are developed and solved using system dynamics theory. The model developed can be used for organizations to assess the impact of different improvement initiatives.


2014 ◽  
Vol 587-589 ◽  
pp. 171-175
Author(s):  
Jian Ping Li ◽  
Han Ming Duan ◽  
Min Qiu

A system dynamics model of urban sustainable development is provided, and the impact of different development modes on the city system is explored. Statistical data of Yinchuan, a city in northwest China, is utilized to build the model which shows the population-economy- environment relationship. Four development modes are proposed, and they are maintaining the status quo, developing secondary industry, developing tertiary industry, developing economy and society together. The system dynamics model is employed to analyze the interaction between population, economy and environment. According to simulation of the system dynamics model, impact of development modes on the city system is predicted. Furthermore, suggestions on improving the sustainability of urban development are put forward. In a word, the paper presents a new idea for the study on urban sustainable development in northwest China.


Author(s):  
Farah Hanim Abdul Rahim ◽  
Nurul Nazihahhawari ◽  
Norhaslinda Zainal Abidin

The Malaysian government had targeted for the rice industry in the country to achieve 100% rice self-sufficiency where Malaysia’s rice self-sufficiency level (SSL) is currently at 65% to 75%. Thus, the government had implemented few policies to increase the rice production in Malaysia to meet the growing demand of rice. This paper focus on analyzing the impact of price subsidy on the rice production system in Malaysia using a system dynamics modelling approach. Scenario analysis was conducted using the developed system dynamics model by making changes on the price subsidy and observe the impact of the changes on the rice production and rice SSL. The developed system dynamics model offers better understanding of the effect of price subsidy on the rice self-sufficiency level. Based on the scenario analysis, the result shows that a 50% increase in the price subsidy leads to a substantial increase in demand as the rice price drops. Accordingly, the local production increases by 15%. However, the SSL slightly decreases as the local production is insufficient to meet the large demand.


2016 ◽  
Vol 43 (6) ◽  
pp. 511-522 ◽  
Author(s):  
Roozbeh Rashedi ◽  
Tarek Hegazy

Sustaining acceptable service in large facility networks is a complex task, particularly under limited budgets, rapid deterioration, and increasing service demands. Policy-makers are, therefore, challenged to make efficient balance between the construction of new facilities and the renewal of existing ones to suit both the short and the long-term needs. To support policy-makers, this paper proposes an efficient decision support system using the system dynamics simulation technique to analyze the impact of various budget allocation policies and to optimize policy decisions. The proposed system dynamics model was tested using a case study from the Toronto District School Board involving more than 400 schools. It can find the optimum budgeting strategy that minimizes the overall facility condition index and total life cycle cost over a long-term strategic plan. The system dynamics model proved its ability to find a budget allocation policy with much better results than the typical enrolment-based approach.


2019 ◽  
Vol 2019 ◽  
pp. 1-8
Author(s):  
Bulim Choi ◽  
Su-il Park ◽  
Kang-Dae Lee

Over the past decade, intermodal transport focused on reducing external cost, congestion, and carbon dioxide emissions, which have been caused by road transportation. Many policy measures for the modal shift from road to rail have been introduced to address these problems. This study aims at examining the impact of policy measures on promoting modal shift. In line with the previous research on modal shift, a system dynamics model, which can calculate both expected and real modal share, was developed. The proposed model was applied to the steel industry for steel rolled coils transport in South Korea. Under our analysis conditions, the modal shift by the containerization occurred more rapidly than taxations. The major contributions of this paper are as follows: (1) supporting the model to anticipate the modal shift from road to rail and (2) suggesting new insight to promote the modal shift using containerization.


2018 ◽  
Vol 10 (10) ◽  
pp. 3391 ◽  
Author(s):  
Renzheng Xue ◽  
Fengbin Zhang ◽  
Feng Tian

China, as the largest electronic waste producer in the world, is facing a critical challenge to manage its negative impacts on the environment. Hence, e-waste management is crucial for sustainable Chinese economic development. In this paper, a system dynamics model is adopted to identify the effects of retailer-led recycling based on closed-loop dual chains competition. The influence of contracts made by manufacturers on different retail modes is also discussed. From the aspects of total revenue (TR), market share (MS) and market competitiveness (MC), this paper analyzes the impact of e-waste recycling coefficient (ERC) on supply chain and analyzes the equilibrium solution of total supply chain return. The research results show that the contract incentive mechanism can improve the retailer’s recycling enthusiasm, and the effect on the retail mode of executive shop is more obvious. When the ERC is adjusted to 44.3%, the TR of supply chain is optimal, and the MS and MC occupy an obvious advantage.


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