External orderliness-synergy of electric power industry in Yangtze River Delta during energy transition period

Zhao

Han

2023

Preprint

In recent years because of the one-sided interpretation of the nexus between the green & low-carbon energy transition and the high-quality economic-social growth, some over-idealized due-oriented judgments have led to failures in theories or deviations from practices. It is necessary and typical to select the panel data of 30 provinces in China from 2010 to 2020 to demonstrate that nexus, since China plays a different role in both climate change and global energy security. This paper defines and measures both the high-quality economic-social growthand the green & low-carbon energy transition efficiency. After analyzing the structure characteristics of energy transition, it also discusses the impact of the transition efficiency on the high-quality growth. The results indicate that: The inflection point from quantitative to qualitative change in the regional high-quality growth has not yet arrived, while the developed regions and the developing regions are still grappling with pronounced problems of imbalance and insufficiency. As far as now, the energy transition efficiency in the energy resource centers is much higher than that in the energy load centers. The provinces with a characteristic of energy supply-demand equilibrium have seamlessly shifted from the Introduction stage of green & low-carbon development to the Growth stage. Both the decrease in energy intensity and the increase in renewables share are able to promote the high-quality economic-social development obviously, however, the reduction of per capita carbon emission cannot yield the expected positive externality in a short run.

Section: Nevertheless Thementioning

confidence: 92%

“…(i) Fixed input of energy transition, mainly referring to rule design and institutional arrangements in the given period, can be expressed as the institutional lock-in (Liu et al 2021).…”

Section: Indicator Selection For Green and Low-carbon Energy Transiti...mentioning

confidence: 99%

See 1 more Smart Citation

Assessing the influence of energy transition on economic-social growth: Case of China

Zhao

Han

2023

Preprint

“…The synergy degree of the composite system is a useful method for studying mutual influences and restraints (Bai et al, 2018). It has been widely used in various fields to measure and analyze synergistic relationships (Pingkuo et al, 2021). The synergy degree is employed to quantitatively measure the strength of synergistic relationships among factors.…”

Section: Assessment Of Synergistic Relationshipsmentioning

confidence: 99%

Analysis of factors influencing project portfolio benefits with synergy considerations

Bai

Xue

et al. 2022

ECAM

PurposeRealizing project portfolio benefits (PPBs) is considered a key challenge faced by enterprises. This challenge can largely be attributed to an unclear understanding of the factors influencing PPBs. However, synergistic relationships create complexity for the management of influencing factors. In response to this dilemma, the objective of this study is to quantitatively investigate the factors influencing PPBs while considering the synergistic effect among factors to provide guidelines for benefits management.Design/methodology/approachThrough an integration of the synergy degree of the composite system model and social network analysis (SNA), a refined model is proposed to explore the factors influencing PPBs. First, a list that includes financial and nonfinancial influencing factors is clarified. Then, the corresponding network links, which represent the synergistic relationships among the factors, are innovatively assessed based on the synergy degree of the composite system. Finally, the influencing factor network is analyzed using both individual and overall indicators of SNA.FindingsThe resulting evidence demonstrates that four critical influencing factors exist, namely, “project managers,” “purchasers,” “development capacity” and “tangible resources.” These factors are relatively important and should be prioritized. Furthermore, the factors are divided into three subgroups: participant, resource and governmental factors. A general observation from the results is that factors that share the same subgroup are more likely to have a synergistic effect advantage, which leads to an increase in PPBs.Originality/valueThe value of this paper lies in its proposition of a quantitative model that can be used to measure and analyze the factors influencing PPBs with synergy considerations. This research contributes to the body of knowledge on benefits management by linking synergy with PPBs. It presents new insights for managers on how PPBs may be effectively managed and promoted from the perspective of influencing factors.

“…As the large emitter of carbon dioxide, the energy consumption has increased fivefold since its reform and opening up in 1978 (Jiang et al, 2018). The Yangtze River Delta is the most comprehensive economic center in China and plays the key role in energy transition (Pingkuo et al, 2021). China's rapid economic growth has been accompanied by the deterioration in air quality (Hu et al, 2021a).…”

Section: Literature Reviewmentioning

confidence: 99%

Panel Data Analysis of Energy Conservation and Emission Reduction On High-Quality Development of Logistics Industry in Yangtze River Delta of China

Fan

Shao

et al. 2021

Preprint

With the implementation of China's carbon neutrality policy, the Yangtze River Delta region, as a benchmark for the development of China's logistics industry, calls for great concern, accompanying the energy consumption and environmental problems. In order to explore how China's logistics industry can achieve both energy conservation and emission reduction (ECER) and high-quality development in the context of carbon neutrality, this study analyzes the relationship between the development of logistics industry and the economy, energy together with environment in the Yangtze River Delta region based on the data of China Statistical Yearbook from 2001 to 2019, by means of the Entropy method and PVAR model. The main findings are summarized as follows: firstly, the economy, industrial structure, energy and environment all have significant impact on the development of logistics industry in Yangtze River Delta region. Secondly, the development of logistics industry in Yangtze River Delta region is not balanced, and the provinces including Jiangsu, Shanghai, Zhejiang and Anhui have great differences in economy, industrial structure, demographic dividend, energy consumption and environmental protection, and the possibility of complementary advantages. Thirdly, the economic development and energy consumption are two-way effects. Environmental protection is relevant to economic development, industrial structure, energy consumption and logistics supply. Finally, in the context of carbon neutrality, this paper gives some suggestions on how to realize the high-quality development of logistics industry in Yangtze River Delta region while considering energy consumption and environmental protection.