Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Ching‐Cheng Lu"'
Publikováno v:
Water Supply, Vol 24, Iss 4, Pp 1048-1060 (2024)
This study employs the super-efficiency directional distance function (SDDF) to assess the productivity of each administrative region in China over the period 2013–2017. The focus is on exploring variations in gross domestic production and efficien
Externí odkaz:
https://doaj.org/article/7e0f46ea33764a54ab8eaaf2d7dd64b1
Publikováno v:
Energy Science & Engineering, Vol 10, Iss 12, Pp 4447-4465 (2022)
Abstract This study used the superefficiency direction distance function and total factor energy efficiency to evaluate the changes in energy efficiency and total factor energy efficiency of 11 member countries of the Comprehensive and Progressive Ag
Externí odkaz:
https://doaj.org/article/276525ef58684a8fb4268d456a5abaa0
Publikováno v:
Energy Science & Engineering, Vol 10, Iss 8, Pp 2794-2807 (2022)
Abstract The green total factor productivity (GTFP) has become an important index of balancing the energy consumptions, economic development, and environmental protections. This study extends the slacks‐based directional distance function (SDDF) of
Externí odkaz:
https://doaj.org/article/a2dacd874ab94acabf3725c8634c662b
Publikováno v:
Energy Science & Engineering, Vol 9, Iss 8, Pp 1148-1159 (2021)
Abstract According to the Paris Agreement signed on 12 December 2015, forests have great impact on controlling CO2 emissions. This study uses the nonoriented dynamic slack‐based data envelopment analysis model to evaluate the impact of a forestry a
Externí odkaz:
https://doaj.org/article/288dde09ac324830bed889a5d4e71c4d
Publikováno v:
Environmental Research Communications, Vol 5, Iss 10, p 105009 (2023)
According to the October 2021 Glasgow Climate Agreement reaffirming the cooling goals of the Paris Agreement and the Glasgow Leaders Declaration on Forests and Land Use, this research applies the Super-D-DDF model to non-oriented variable returns to
Externí odkaz:
https://doaj.org/article/6417d90a098542d88d9d337ec2f30785
Publikováno v:
Energy Science & Engineering, Vol 7, Iss 3, Pp 943-961 (2019)
Abstract Mankind is constantly pursuing economic growth and social development, and while these bring convenience to people, they involve large amounts of greenhouse gas emissions under the heavy use of energy, which produces quite serious air pollut
Externí odkaz:
https://doaj.org/article/7f7ffb4ce0ba4c1598588b3ff599db23
Publikováno v:
Energies, Vol 15, Iss 15, p 5697 (2022)
The purpose of this study is to explore the impact of pollution control on industrial production efficiency in 31 provinces and cities in the Yellow River and Non-Yellow River basins in China from 2013 to 2017, using the methods of the directional di
Externí odkaz:
https://doaj.org/article/687f790b6ec043afb1a49130a0ad4cd4
Publikováno v:
Inquiry: The Journal of Health Care Organization, Provision, and Financing, Vol 57 (2020)
This study pays more attention to the energy consumption saving, environmental pollution, and health efficiency improvement. We employ the Slack-based measure of Dynamic network Data Envelopment Analysis (DEA) model (DNSBM) to assess the impact of fo
Externí odkaz:
https://doaj.org/article/5d7ed0ea00234304a6c97761d9b33482
Publikováno v:
Energies, Vol 15, Iss 1, p 67 (2021)
In order to have a sustainable economic and social development, it is important to balance economic growth and ecological environmental damage. In this article, we used the resampling model under the triangular distribution to evaluate energy efficie
Externí odkaz:
https://doaj.org/article/682c2cd61b3c4d4a9cb4503199da5264
Publikováno v:
Energies, Vol 14, Iss 14, p 4343 (2021)
This study introduces the translation adjustment model of Seiford and Zhu (2002) into dynamic DEA models to measure and analyze the dynamic energy efficiency of Asia-Pacific Economic Cooperation (APEC) economies from 2010 to 2014. The APEC economies
Externí odkaz:
https://doaj.org/article/514d5e6935f84cefb2059b09243447e9