Environmental Science and Pollution Research, Год журнала: 2023, Номер 30(53), С. 113504 - 113519
Опубликована: Окт. 18, 2023
Язык: Английский
Energy Economics, Год журнала: 2023, Номер 127, С. 107085 - 107085
Опубликована: Окт. 5, 2023
Язык: Английский
Процитировано
89
Ecological Indicators, Год журнала: 2023, Номер 154, С. 110660 - 110660
Опубликована: Июль 15, 2023
The carbon storage service of terrestrial ecosystems has an veritable impact on the global cycle and, in turn, climate change. Hence, both assessing and predicting land use changes are necessary to reduce emissions mitigate Therefore, using integrated valuation ecosystem services tradeoffs (InVEST) model with remote sensing data, this study systematically analyzes use/cover change (LUCC) response characteristics types Henan Province, China 1990–2020 period. also uses patch-generating simulation (PLUS) predict LUCC Province from 2023 2050 under different scenarios, including Business as Usual (BAU), Ecological Conservation (EC), Urban Development (UD) scenarios. following results noted: (1) mainly comprises conversion farmland construction land. Presently, Province's is found have decreased by 339.72 Tg due LUCC, which characterized "high west low east." (2) Regarding three aforementioned province's predicted increase its greatest extent UD scenario. Under EC scenario, woodland areas will be effectively protected. highest level reserves likely followed that BAU while lowest should seen 312.07 Tg, 233.43 394.49 lower than 2020 BAU, EC, respectively. In sum, provides scientific basis decisions aimed at facilitation low-carbon development, optimal utilization spaces, development ecological civilization Province.
Язык: Английский
Процитировано
52
Environmental Science and Pollution Research, Год журнала: 2024, Номер 31(22), С. 31752 - 31770
Опубликована: Апрель 24, 2024
Язык: Английский
Процитировано
28
Energy Economics, Год журнала: 2024, Номер 136, С. 107762 - 107762
Опубликована: Июль 10, 2024
Язык: Английский
Процитировано
25
Energy Policy, Год журнала: 2024, Номер 195, С. 114344 - 114344
Опубликована: Сен. 19, 2024
Язык: Английский
Процитировано
16
Journal of Cleaner Production, Год журнала: 2024, Номер 460, С. 142547 - 142547
Опубликована: Май 13, 2024
Язык: Английский
Процитировано
13
Energy Strategy Reviews, Год журнала: 2024, Номер 52, С. 101347 - 101347
Опубликована: Фев. 28, 2024
Digitalization is a driving force behind the ongoing energy industrial revolutions, catalyzing China's pursuit of carbon neutrality and sustainable development. Leveraging provincial data annual reports from enterprises in China, this study constructs comprehensive analytical framework that encompasses benchmark regression models, mediating effect threshold spatial econometric models. These models are utilized to investigate multi-faceted impacts digitalization on productivity (CP). The aim furnish micro-level evidence policy guidance for advancing transformation fostering low-carbon development enriched with digital elements. This research employs natural language processing machine learning techniques compute an Energy Index, examining two critical dimensions: industry investment inclination toward transformation. following key findings emerge: firstly, (ED) exhibits statistically significant ability enhance regional CP, phenomenon marked by temporal variations. Secondly, analysis confirms transmission mechanisms associated technology innovation, structure, utilization efficiency, as revealed through Logarithmic Mean Divisia Index (LMDI) decomposition method. Furthermore, optimal economies materializes settings characterized mature market conditions, modest environmental regulations, advanced infrastructure, reduced resource dependency. Additionally, Markov chain unveils conspicuous distribution pattern termed "club convergence" accompanied pronounced "Matthew effect." According Durbin model, generates favorable spillover effects, primarily peripheral regions, more short-term influence. Building upon these insights, paper presents pertinent recommendations encompassing national "digital energy" strategy, differentiation policies, initiatives stimulate innovation among enterprises. Our robust empirical constructive empowering governments forge smarter cleaner ecosystem. offer valuable other developing nations seeking implement effective strategies.
Язык: Английский
Процитировано
10
Journal of Environmental Management, Год журнала: 2024, Номер 367, С. 121972 - 121972
Опубликована: Июль 29, 2024
Язык: Английский
Процитировано
10
IEEE Transactions on Engineering Management, Год журнала: 2024, Номер 71, С. 5706 - 5719
Опубликована: Янв. 1, 2024
In this paper, we explore whether and how circular economy policies stimulate green innovation. At the dawn of century, China launched pilot policy (CEPP). Using panel data 284 Chinese prefectures, estimate effect on patent applications. Our findings indicate a significant positive CEPP applications, including invention patents utility model patents. Mechanism analysis shows that significantly increases government attention science technology promotes economic agglomeration, which further provides more conducive environment for market entities to innovate through open Further heterogeneous reveals impact innovation is greater in southern developed cities, cities with education resources, are less dependent natural resource endowments.
Язык: Английский
Процитировано
9
Energy, Год журнала: 2025, Номер unknown, С. 135003 - 135003
Опубликована: Фев. 1, 2025
Язык: Английский
Процитировано
1