Designing an investment model and developing irrigation systems for sustainable management of water resources using a dynamic systems approach

Yousefi, Saied; Mirdamadi, S M; Hosseini, S. J. F.; Lashgarara, Farhad

doi:10.1007/s13762-022-04469-1

Cited by 2 publications

(1 citation statement)

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“…The above algorithms are mostly used in the field of dynamic and stable operation of power systems, and more effective algorithms need to be explored for the sustainable development management and investment benefit evaluation of power enterprises. To study the sustainable development benefits of enterprises and guide the investment decisions of enterprises, the literature [ 13 ] uses the dynamic system method to design the investment model and develop the irrigation system to realize the sustainable management of water resources, which is helpful to improve the environmental benefits in the ESG indicators of enterprises. In the literature [ 14 ], a genetic neural network model was developed using a genetic algorithm with global optimization, which has a good predictive power for the financial distress of listed companies and has a great advantage in predicting the economic benefits of corporate ESG performance.…”

Section: Introductionmentioning

confidence: 99%

ESG Investment Scale Allocation of China’s Power Grid Company Using System Dynamics Simulation Modeling

Bi-rong

Wang

2023

IJERPH

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In recent years, with the global recognition of the concept of sustainable development, the international market attaches great importance to the Environment, Society, and Governance (ESG) investment performance of enterprises. The “carbon peaking and carbon neutrality” goal puts forward requirements for Chinese enterprises to carry out ESG investment. As a large state-owned enterprise in China, power grid companies need to take the lead in ESG investment. Based on the System Dynamics (SD) theory, this paper establishes the simulation model of ESG-responsible investment of power grid companies, including the environmental investment sub-module, social investment sub-module, and governance investment sub-module. Taking a provincial Power Grid Company as an example, the numerical simulation of ESG investment of power grid companies is carried out. The actual input-output efficiency of ESG investment of power grid companies is reflected through the mapping relationship between key indicators and investment amount, and the ESG investment scale and investment weight of the Power Company in the coming years are predicted. Compared with the traditional static analysis method, this model can provide a theoretical basis for power grid companies to carry out ESG investment decisions.

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Section: Introductionmentioning

confidence: 99%