five

Data Set for the study entitled: Environmental Degradation, Renewable Energy, Global Climate Change, and Economic Growth for Sustainable Development in The Ten Highest Climate Risk Countries

收藏
Figshare2025-10-26 更新2026-04-08 收录
下载链接:
https://figshare.com/articles/dataset/Data_Set_for_the_study_entitled_Environmental_Degradation_Renewable_Energy_Global_Climate_Change_and_Economic_Growth_for_Sustainable_Development_in_The_Ten_Highest_Climate_Risk_Countries/26509681/1
下载链接
链接失效反馈
官方服务:
资源简介:
the highest Global Climate Risk Index (CRI). These countries, referred to as TenHRCC, include The Bahamas, Bangladesh, Haiti, Mozambique, Myanmar, Nepal, Pakistan, the Philippines, Puerto Rico, and Thailand.Annual data from 2005 to 2019 is utilized. The <i>dependent variable</i> is <i>CRI</i>, while the <i>independent variables</i> consist of <i>Ecological Footprint (EF)</i> and <i>Forest Area (FA)</i> provided by the Global Footprint Network as <i>indicators of Environmental Variables</i>, and the <i>ratio of Renewable Energy Consumption to Total Energy Consumption (REC)</i> as the <i>Renewable Energy variable</i>. <i>Economic Growth (EG)</i> is designated as the <i>control variable</i>, given its known influence on climate change according to the literature.

本数据集涵盖全球气候风险指数(Global Climate Risk Index, CRI)最高的十个国家,即TenHRCC,具体包括巴哈马、孟加拉国、海地、莫桑比克、缅甸、尼泊尔、巴基斯坦、菲律宾、波多黎各及泰国。本研究采用2005年至2019年的年度数据。其中,因变量(dependent variable)为CRI;自变量包含由全球足迹网络(Global Footprint Network)提供的、作为环境变量指标的生态足迹(Ecological Footprint, EF)与森林面积(Forest Area, FA),以及作为可再生能源变量的可再生能源消费占总能源消费之比(ratio of Renewable Energy Consumption to Total Energy Consumption, REC)。鉴于已有文献证实经济增长对气候变化存在影响,本研究将经济增长(Economic Growth, EG)设定为控制变量(control variable)。
提供机构:
KESER, Ahmet; EREN, Mehmet Vahit; CUTCU, İbrahim
创建时间:
2025-10-26
二维码
社区交流群
二维码
科研交流群
商业服务