2022
DOI: 10.1016/j.apenergy.2022.118736
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Planning energy economy and eco-environment nexus system under uncertainty: A copula-based stochastic multi-level programming method

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Cited by 12 publications
(3 citation statements)
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“…Currently, China is facing a period of change in the transformation of its economic system and social structure [1]. In this process, the Chinese "progressive" reform, which starts from shallow to deep, from easy to difficult, and "crossing the river by feeling the stones", has now entered a critical stage [2][3].…”
Section: Introductionmentioning
confidence: 99%
“…Currently, China is facing a period of change in the transformation of its economic system and social structure [1]. In this process, the Chinese "progressive" reform, which starts from shallow to deep, from easy to difficult, and "crossing the river by feeling the stones", has now entered a critical stage [2][3].…”
Section: Introductionmentioning
confidence: 99%
“…In general., the DCC-VaR method is better for measuring investment risk portfolios. Lv et al proposed a copula-based stochastic multilevel planning (CSMP) method as a way to ensure a coordinated relationship between the energy economy and the ecosystem in China [30]. The results show that by the middle of the 21st century, China's tertiary and hightech industries will account for 62.4% and 14.9% of the market, respectively.…”
Section: Introductionmentioning
confidence: 99%
“…Renewable energy technologies for electricity generation such as solar, wind or hydro allow substitution of fossil fuels and can be used to meet energy needs in households, industrial, commercial and transport sectors. The concern on the environment, climate change and energy deprivation rose the political interest in low-carbon cities development in recent years (Griffiths & Sovacool, 2020 ; Hadfield & Cook, 2019 ; Lv et al, 2022 ). The development of low-carbon cities and the performance depend on how new innovative technologies and policy measures are applied and how successful acceptable they will be in the community (Geels et al, 2018 ).…”
Section: Introductionmentioning
confidence: 99%