The Impact of Government Digital Transformation on Land Use Efficiency: Evidence from China DOI Creative Commons
Yan Jiang, Lun Yang, Xiaokun Wei

и другие.

Land, Год журнала: 2024, Номер 13(12), С. 2080 - 2080

Опубликована: Дек. 3, 2024

Digital transformation has become a prominent trend in both the private and public sectors. Different from studies focusing on of sector, this study aims to investigate impact sector digitalization, i.e., government digital (GDT), land use efficiency (LUE). Utilizing introduction Big Data Bureau (BDB) as quasi-natural experiment GDT, employs staggered difference-in-differences method (DID) finds that GDT is significantly positively related LUE, denoting cities undergoing exhibit increased LUE relative non-participants. These findings are robust after performing parallel tests, conducting instrumental variable propensity score matching methods or entropy balance, considering heterogeneous treatment effects, using other robustness checks. Furthermore, heterogeneity analysis shows stronger among eastern cities, with greater degree marketization, advanced Internet infrastructure. Finally, rationale behind effect upgrades industrial structures promotes innovation activities, thereby increasing LUE. This adds literature by providing novel insights into effects digitalization its role improving

Язык: Английский

Analysis of the Dynamic Changes and Driving Mechanism of Land Green Utilization Efficiency in the Context of Beijing–Tianjin–Hebei Synergistic Development DOI Creative Commons

Huizhen Cui,

Linlin Cheng, Yang Zheng

и другие.

Land, Год журнала: 2025, Номер 14(2), С. 222 - 222

Опубликована: Янв. 22, 2025

Studying the development of land green utilization efficiency and factors that influence it in Beijing–Tianjin–Hebei region can improve distribution resources among regions reinforce interregional integrated planning. By constructing a super-efficiency SBM model, calculating Malmquist–Luenberger index, Tobit this study explores spatial features temporal variations use from 2010 to 2022. It also examines mechanism drives context synergistic development. According research, Beijing has consistently had highest usage strong strength, whereas Baoding, Xingtai, Handan, other cities Hebei Province have lower efficiency. geographical dimension, research area’s exhibits pattern “high middle low surroundings”, with Cangzhou, Langfang, Tangshan standing out terms both industrial transformation ecological building. Based on results driving efficiency, is evident while degree urbanization population concentration negative effect economic development, synergy, opening up outside world, environmental regulation, output all positive promoting associations it. In summary, increasing optimization structure, bolstering technological innovation policy coordination, attaining harmonious coexistence economy ecology are essential steps process increase area when attempting achieve goal sustainable region.

Язык: Английский

Процитировано

0

Spatial-Temporal Evolution and Influencing Factors of Urban Land Use Structure Efficiency: Evidence from 282 cities in China DOI

Wen Luge,

Tianjiao Zhang,

Shen Tiyan

и другие.

Journal of Cleaner Production, Год журнала: 2025, Номер unknown, С. 145275 - 145275

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0

Analysis of sustainable spatial structure of cities under the framework of “Economy-Society- Environment”: A case study Beijing-Tianjin-Hebei urban agglomeration DOI Creative Commons
Haonan Chen, Zhi Li, Xiaoning Cui

и другие.

Ecological Indicators, Год журнала: 2025, Номер 173, С. 113416 - 113416

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0

Local Sustainability Assessment of the Wonogiri Multipurpose Reservoir Catchment Area in Central Java Province, Indonesia DOI Creative Commons
Bunga Ludmila Rendrarpoetri, Ernan Rustiadi, Akhmad Fauzi

и другие.

Land, Год журнала: 2024, Номер 13(11), С. 1938 - 1938

Опубликована: Ноя. 17, 2024

The sustainability of watershed management is a crucial issue that must be addressed to guarantee the persistence services including agriculture, food production, and energy supply. This has also been in Presidential Regulation No. 18/2020 concerning National Medium-Term Development Plans for 2020–2024, which stipulate restoration priority watersheds, Upstream Bengawan Solo Watershed. study seeks address this information gap by assessing local from temporal dynamics perspective calculating Local Sustainability Index (LSI), Moran Index, spatial associations. Measuring sustainable development indices locally essential because each location different characteristics, using specific indicators at level rarely done. enactment national law on village autonomy Indonesia necessitates formulation level. These serve as metrics frameworks government policies initiatives. Our results show social economic dimensions increased 2007 2021, especially urban activity center areas facilities. seems environmental dimension, where value decreased 2021. concentration low values ecological conditions occurred pocket areas. Environmental problems were indicated land-use conversion disaster

Язык: Английский

Процитировано

1

The Impact of Government Digital Transformation on Land Use Efficiency: Evidence from China DOI Creative Commons
Yan Jiang, Lun Yang, Xiaokun Wei

и другие.

Land, Год журнала: 2024, Номер 13(12), С. 2080 - 2080

Опубликована: Дек. 3, 2024

Digital transformation has become a prominent trend in both the private and public sectors. Different from studies focusing on of sector, this study aims to investigate impact sector digitalization, i.e., government digital (GDT), land use efficiency (LUE). Utilizing introduction Big Data Bureau (BDB) as quasi-natural experiment GDT, employs staggered difference-in-differences method (DID) finds that GDT is significantly positively related LUE, denoting cities undergoing exhibit increased LUE relative non-participants. These findings are robust after performing parallel tests, conducting instrumental variable propensity score matching methods or entropy balance, considering heterogeneous treatment effects, using other robustness checks. Furthermore, heterogeneity analysis shows stronger among eastern cities, with greater degree marketization, advanced Internet infrastructure. Finally, rationale behind effect upgrades industrial structures promotes innovation activities, thereby increasing LUE. This adds literature by providing novel insights into effects digitalization its role improving

Язык: Английский

Процитировано

0