TY - JOUR
T1 - Understanding the power disruption and its impact on community development
T2 - An empirical case of Pakistan
AU - Hussain, Shahid
AU - Xuetong, Wang
AU - Maqbool, Rashid
N1 - Funding Information:
This research work was supported by;
(1) Humanities and Social Sciences Projects of Ministry of Education China (No. 18YJA630113),
PY - 2023/2/1
Y1 - 2023/2/1
N2 - Ensuring safe, affordable, and energy-efficient amenities to the local communities by 2030 are clear objectives well-defined within the United Nation's Sustainable Development Goals. In Pakistan, power disruptions are common; despite the significance of electricity, a limited number of studies have empirically examined the impact of power disruption on community development. To fulfill this gap, this study is attempted to identify power disruption causes and their impact on community development. A quantitative survey method was adopted to collect the data, and a total of 350 public responses were received from Pakistan. The hypothesized relationships were analyzed using the variance-based partial least squares structural equation modeling technique. The findings revealed that government should focus on all aspects of power disruption, with a special focus on government and human related factors that adversely impact sustainable community development. These findings would be valuable for decision makers and project executing agencies in reliable planning and mitigating the power disruption effects in the future.
AB - Ensuring safe, affordable, and energy-efficient amenities to the local communities by 2030 are clear objectives well-defined within the United Nation's Sustainable Development Goals. In Pakistan, power disruptions are common; despite the significance of electricity, a limited number of studies have empirically examined the impact of power disruption on community development. To fulfill this gap, this study is attempted to identify power disruption causes and their impact on community development. A quantitative survey method was adopted to collect the data, and a total of 350 public responses were received from Pakistan. The hypothesized relationships were analyzed using the variance-based partial least squares structural equation modeling technique. The findings revealed that government should focus on all aspects of power disruption, with a special focus on government and human related factors that adversely impact sustainable community development. These findings would be valuable for decision makers and project executing agencies in reliable planning and mitigating the power disruption effects in the future.
KW - Electricity utility industry
KW - Energy
KW - Pakistan
KW - Power disruption
KW - Sustainable community development
UR - https://www.scopus.com/pages/publications/85143832687
U2 - 10.1016/j.seta.2022.102922
DO - 10.1016/j.seta.2022.102922
M3 - Article
AN - SCOPUS:85143832687
SN - 2213-1388
VL - 55
JO - Sustainable Energy Technologies and Assessments
JF - Sustainable Energy Technologies and Assessments
M1 - 102922
ER -
