EconPapers    
Economics at your fingertips  
 

The Impact of Smart Prepaid Metering on Non-Technical Losses in Ghana

Gideon Otchere-Appiah, Shingo Takahashi, Mavis Serwaa Yeboah and Yuichiro Yoshida
Additional contact information
Gideon Otchere-Appiah: Engineering Services Department, Northern Electricity Distribution Company, P.O. Box TL 77 Tamale, Ghana
Shingo Takahashi: Department of Development Policy, Graduate School for International Development and Cooperation, Division of Development Science, Hiroshima University, Higashihiroshima 739-8511, Japan
Mavis Serwaa Yeboah: Department of Computer Science, Faculty of Applied Science and Technology, Sunyani Technical University, P.O. Box 206 Sunyani, Ghana

Energies, 2021, vol. 14, issue 7, 1-16

Abstract: The high incidence of electricity theft, meter tampering, meter bypassing, reading errors, and defective and aged meters, among others, increases utility losses, especially non-technical losses (NTL). A utility in Ghana piloted a non-technical loss reduction program in 2019 to replace postpaid meters with anti-tamper, anti-fraud, and anti-theft smart prepaid meters. By using customer-level residential billing panel data from 2018 to 2019 obtained from the utility, we assess the effectiveness of this program using the difference-in-differences fixed-effect approach. On average, the results indicated that the reported amount of customers’ monthly electricity consumption increases by 13.2% when any tampered postpaid meter is replaced with a smart prepaid meter, indicating the NTLs by customers. We further employed quantile difference-in-differences regression and observed that reported energy consumption has increased for all households except those at the lower quantile (25th quantile). We conclude that smart prepaid metering could be a remedy to reduce NTLs for the electricity distribution sector in areas where electricity theft is rampant.

Keywords: smart meters; electricity theft; non-technical losses; difference-in-differences; quantile regression (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://www.mdpi.com/1996-1073/14/7/1852/pdf (application/pdf)
https://www.mdpi.com/1996-1073/14/7/1852/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:14:y:2021:i:7:p:1852-:d:524927

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-04-07
Handle: RePEc:gam:jeners:v:14:y:2021:i:7:p:1852-:d:524927