科研成果
张金亭的论文在SUSTAINABILITY 刊出
发布时间:2021-03-05 08:44:13     发布者:易真     浏览次数:

标题: Partial Correlation Analysis of Association between Subjective Well-Being and Ecological Footprint

作者: Zhang, JT (Zhang, Jinting); Zhan, FB (Zhan, F. Benjamin); Wu, X (Wu, Xiu); Zhang, DJ (Zhang, Daojun)

来源出版物: SUSTAINABILITY  : 13  : 3  文献号: 1033  DOI: 10.3390/su13031033  出版年: FEB 2021  

摘要: A spatial-temporal panel dataset was collected from 101 countries during 2006-2016. Using partial correlation (PC) and ordinary correlation (OR) analyses, this research examines the relationship between ecological footprint (EF) and subjective well-being (SWB) to measure environmental impacts on people's happiness. Gross domestic product (GDP), urbanization rate (UR), literacy rate (LR), youth life expectancy (YLE), wage and salaried workers (WSW), political stability (PS), voice accountability (VA) are regarded as control variables. Total bio-capacity (TBC), ecological crop-land footprints (ECL), ecological grazing-land footprint (EGL), and ecological built-up land footprint (EBL) have significant positive influences on SWB, but ecological fish-land (EFL) has significant negative influences on SWB. Ecological carbon footprint (ECF) is significantly negatively related to SWB in developed countries. An increase in the amount of EF factors is associated with a country's degree of development. Political social-economic impacts on SWB disguised environmental contribution on SWB, especially CBF impacts on SWB. The use of PC in examining the association between SWB and EF helps bridge a knowledge gap and facilitate a better understanding of happiness.

入藏号: WOS:000615601700001

语言: English

文献类型: Article

作者关键词: partial correlation; subjective well-being; ecological footprint; sustainability

地址: [Zhang, Jinting] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.

[Zhan, F. Benjamin; Wu, Xiu] Texas State Univ, Dept Geog, San Marcos, TX 78666 USA.

[Zhang, Daojun] Northwest A&F Univ, Coll Econ & Management, Xianyang 712100, Peoples R China.

通讯作者地址: Wu, X (通讯作者)Texas State Univ, Dept Geog, San Marcos, TX 78666 USA.

电子邮件地址: whuzjt@whu.edu.cn; zhan@txstate.edu; x_w10@txstate.edu; cugzdj@gmail.com

影响因子:2.576


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