Evaluating and Optimizing Transnational
Grid Construction Based on Input-Output Analysis
under the Background of Global Energy
Interconnection

Li, Jinying; Jing, Xiang

doi:10.15244/pjoes/114256

Cited by 4 publications

(4 citation statements)

References 18 publications

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“…If it is found that the institutional environment of the host country is less than the threshold, it can significantly promote OFDI, and if it exceeds this threshold, it is not significant. Yang Hongen and others pointed out that the promotion effect of signing bit between China and the host country on investment is obviously different due to the differences between the host countries [12]. Compared with regions with better economic development, signing bit has no significant effect on local investment promotion.…”

Section: Related Workmentioning

confidence: 99%

Risks and Strategies of China’s Direct Investment in Central Asia from the Perspective of Big Data

Huang

2022

Advances in Multimedia

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With the growth of Chinese economy and the improvement of its international status, Chinese enterprises foreign direct investment has ushered in new development opportunities. Although scale foreign investment continues to expand and has broad development prospects, it also faces huge risks that domestic investment has never had. China and Central Asia are highly complementary economically. Strengthening direct investment in the Central Asian countries can effectually drive China’s economic development. Based on the quantitative evaluation and analysis from the perspective of big data, this paper uses a variety of methods to evaluate and explore the risks of China’s direct investment in Central Asian countries, and gives some policy suggestions. The research shows that the motivation of Chinese foreign investment cooperation is different from the marginal industry transfer in the traditional international investment theory. The problem of country risks in Central Asia is prominent. Chinese government must rely on the build of the Belt and Road to strengthen intergovernmental communication and exchanges, and establish a good cooperation mechanism to deal with the increasingly prominent problem of country risks. Further we will improve trade facilitation and expand the trade openness of Central Asian countries to China. To avoid risks, Chinese companies should invest under the guidance of the government and establish a complete investment chain for large projects. At the same time, we also need to seize the opportunity of the development of digital economy, and gradually establish a scientific and efficient investment model to effectively avoid the risk of direct investment.

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Section: Related Workmentioning

confidence: 99%

Risks and Strategies of China’s Direct Investment in Central Asia from the Perspective of Big Data

Huang

2022

Advances in Multimedia

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“…From Equation (7) through Equation ( 10), the Euclidean distance, the correlation coefficient matrix, and total correlation degree are displayed. In Equation (11), they receive treatment that is dimensionless.…”

Section: The Methods For Measuring Energy Security Levelmentioning

confidence: 99%

“…Li et al (2016) analyzed the North East Asian electricity demand and suggests connecting the region's power grids [10]. In terms of input-output interactions, Li and Xiang (2020) evaluated the effectiveness of cross-border grid projects in China, Central Asia, and South Asia [11]. After the commencement of the changes, Liao (2022) focused on the "One Belt, One Road" program while discussing the evolution of China-ASEAN environmental and energy cooperation since 2010 [12].…”

Section: Literature Review 21 a Brief Review Of Studies On Energy Coo...mentioning

confidence: 99%

Measuring the Bilateral Energy Security Cooperation Sustainability between China and Its Neighboring Countries Based on the National Energy Security Level

2023

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Strengthening bilateral energy security cooperation is crucial in the process of fostering the sustainable growth of China and neighboring Asian nations. Using data chosen from China and 25 adjacent nations between 2010 and 2019, this article first assesses the level of energy security using the TOPSIS (Technique of Ranking Preference with Similarity to Ideal Solution) and GRA (Grey Relational Analysis) methodologies. Additionally, based on the level of energy security, this article analyzes the coupling degree of bilateral capacity structure and, in the end, suggests a theoretical model to assess the stability of bilateral energy security cooperation. The findings demonstrate that China and its neighboring countries share the energy trilemma, which is the inability of these nations to simultaneously achieve the needs of energy supply security, energy justice, and environmental sustainability. The report also makes the case that Thailand, Kazakhstan, and the Philippines all have theoretically stronger sustainability of bilateral energy security cooperation with China. This study also offers some recommendations for improving bilateral collaboration between China and its neighbors on energy security.

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“…Te power industry is a complex system with countless uncertainties, which is unlikely to meet the basic needs of econometric models [6]. Te DEA model is suitable for complex distribution network systems with multiple input and output indexes and can be better applied to evaluate power distribution network investment efciency in various directions, such as distribution network operation, economic efciency, and social and environmental efciency [7][8][9][10]. However, the DEA method has higher requirements on data and mainly focuses on the relative efciency of the evaluation object.…”

Section: Introductionmentioning

confidence: 99%

Investment Efficiency Assessment of Distribution Network for the High Proportion of Renewable Energy: A Hybrid Multiattribute Decision-Making Method

Lijia

Guo-dong

Keyao

et al. 2022

Mathematical Problems in Engineering

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To cope with the high proportion of renewable energy connected to the grid under the carbon peak and neutrality goal, the investment in distribution network construction will account for more than 50% of the power grid companies’ investment direction in distribution networks in China. According to the characteristics of distribution network investment under the high proportion of renewable energy, a new evaluation index system of distribution network investment efficiency is constructed from the three dimensions of power supply guarantee capacity, total carrying capacity and value creation capacity. Besides, it put forward the game theory combined weighting method based on fuzzy BWM (F-BWM) method and anti-entropy weight method (a-EWM) and the multi-attribute decision-making method of MARCOS based on Pearson coefficient instead of the covariance matrix and improved weighted Mahalanobis distance (I-M-MARCOS). Finally, eight typical distribution network projects in a province of China are selected for empirical analysis. The results show that the model has good applicability in the evaluation of distribution network investment efficiency, and expanding the scale of distribution network and flexibly adjusting resources are the key ways to improve the investment efficiency of distribution networks.

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Evaluating and Optimizing Transnational Grid Construction Based on Input-Output Analysis under the Background of Global Energy Interconnection

Cited by 4 publications

References 18 publications

Risks and Strategies of China’s Direct Investment in Central Asia from the Perspective of Big Data

Risks and Strategies of China’s Direct Investment in Central Asia from the Perspective of Big Data

Measuring the Bilateral Energy Security Cooperation Sustainability between China and Its Neighboring Countries Based on the National Energy Security Level

Investment Efficiency Assessment of Distribution Network for the High Proportion of Renewable Energy: A Hybrid Multiattribute Decision-Making Method

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