Research on Green and Low-Carbon Rural Development in China: A Scientometric Analysis Using CiteSpace (1979–2021)

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作者信息关键词期刊信息基础信息归属信息摘要

成果类型：

期刊论文

作者：

Liu, Bin;Lu, Chan;Yi, Chun

通讯作者：

Chan Lu

作者机构：

[Liu, Bin] Hunan Normal Univ, Sch Geog Sci, Changsha 410081, Peoples R China.

[Liu, Bin; Yi, Chun] Hunan City Univ, Coll Architecture & Urban Planning, Yiyang 413000, Peoples R China.

[Liu, Bin; Yi, Chun] Key Lab Digital Urban & Rural Spatial Planning Hun, Yiyang 413000, Peoples R China.

[Lu, Chan] Cent South Univ, Sch Architecture & Art, Changsha 410075, Peoples R China.

[Lu, Chan] Hunan Univ Technol, Sch Urban & Environm, Zhuzhou 412007, Peoples R China.

通讯机构：

[Chan Lu] S

School of Architecture and Art, Central South University, Changsha 410075, China<&wdkj&>School of Urban and Environment, Hunan University of Technology, Zhuzhou 412007, China<&wdkj&>Author to whom correspondence should be addressed.

语种：

英文

关键词：

green and low-carbon;research hotspot;research stage;content system;China;rural area

期刊：

Sustainability

ISSN：

2071-1050

年：

2023

卷：

期：

页码：

1907-

DOI：

10.3390/su15031907

基金类别：

This study was supported by the Hunan Provincial Philosophy and Social Science Foundation of China (19JD22) and Key Project of Scientific Research Project of Hunan Provincial Department of Education (19A090) and Hunan Provincial Natural Science Foundation Project (2022JJ50279).

机构署名：

本校为其他机构

院系归属：

建筑与城市规划学院

摘要：

Green and low-carbon rural development (GLRD) is becoming an important way to explore sustainable development in rural areas of China. It is significant for the sustainable development of the rural economy and of society to build a rural carbon sink system, advocate low-carbon emissions in rural areas, and promote the development of rural green industries and rural transformation. In this study, the existing knowledge system of GLRD was analyzed using CiteSpace. Keywords related to GLRD and their occurrence frequency were identified using keywo...

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Research on Green and Low-Carbon Rural Development in China: A Scientometric Analysis Using CiteSpace (1979–2021)

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