Log in

Assessing and prioritizing biogas barriers to alleviate energy poverty in Pakistan: an integrated AHP and G-TOPSIS model

  • Research Article
  • Published:
Environmental Science and Pollution Research Aims and scope Submit manuscript

Abstract

Biogas is a promising renewable technology to alleviate energy poverty. Pakistan has a capacity of 5 million bio digesters that can be installed in different farming areas. However, this target has never been achieved because many barriers hamper the biogas industry development. In previous studies, some researchers have indicated these barriers in different geographical contexts: however, these barriers are rarely examined in Pakistan. To fulfill the research gap, this study prioritizes potential barriers. Using a literature review and a modified Delphi technique, we identify 25 sub-barriers and catalog them into 5 main categories. The analytical hierarchy process (AHP) prioritizes the main barriers and sub-barriers based on potential. Grey Technique for Order Preference by Similarity to Ideal Solution (G-TOPSIS) ranks the practical alternatives to combat these barriers. The study findings specify that the “financial barrier” is the top-ranked barrier among the main categories, followed by technical, socio-cultural, institutional and administrative, and environmental barriers. The overall ranking shows that the “high starting price tag” is ranked first among all sub-barriers in all categories. It has been proposed that “appropriate financial incentives” and “promotion of customized technology” would be feasible alternative solutions to combat the issues. Based on the research findings, some policy recommendations were suggested for biogas uptake in Pakistan. This study may assist policymakers, stakeholders, and government institutions in accelerating the potential of biogas energy to alleviate energy poverty in rural areas of Pakistan.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11

Similar content being viewed by others

Data availability

The datasets used and/or analyzed during the current study are available from the first author on reasonable request.

Abbreviations

AHP:

Analytical Hagiarchy Process

CI:

Consistency Index

CR:

Consistency ratio

AEDB:

Alternative Energy Development Board

AZRI:

Arid Zone Research Institution

GOP:

Government of Pakistan

G-TOPSIS:

Grey Technique for Order Preference by Similarity to Ideal Solution

IAEA:

International Atomic Energy Agency

IEA:

Inter-national Energy Agency

PCAT:

Pakistan Council of Appropriate Technology

PBI:

Punjab Bioenergy Institute

PCRET:

Pakistan Council of Renewable Energy Technology

R&D:

Research & Development

REAP:

Renewable & Alternative Energy Association of Pakistan

RETs:

Renewable Energy Technology

SWOC:

Strength-Weakness-Opportunity-Challenge

SWOT:

Strength-Weakness-Opportunity-Threat

UN:

United Nations

References

Download references

Funding

No funding was received for conducting this study.

Author information

Authors and Affiliations

Authors

Contributions

All authors contributed to the study conception and design. Material preparation, data collection, and analysis were performed by Kiran Batool, Zhen-Yu Zhao, Naila Nureen, and Muhammad Irfan. The first draft of the manuscript was written by Kiran Batool and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Muhammad Irfan.

Ethics declarations

Ethics approval

This research study was conducted according to the Declaration of Helsinki guidelines. The Institutional Review Board of North China Electric Power University has approved the study (protocol code 39715-4).

Consent to participate

Informed consent was obtained from all respondents belonging to this research study.

Consent for publication

Consent for publication is provided.

Competing interests

The authors declare that they have no competing interests.

Additional information

Responsible Editor: Ta Yeong Wu

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

ESM 1

Appendix 1: Table A. Experts' demographic information. Appendix 2: Table B1. Please rank the opinion's significance on a Saaty 1–9 scale. Table B2. Pairwise comparison matrix of financial sub-barriers. Table B3. Pairwise comparison matrix of technical sub-barriers. Table B3. Pairwise comparison matrix of technical sub-barriers. Table B5. Pairwise comparison matrix of institutional & administrative sub-barriers. Table B6. Pairwise comparison matrix of environmental sub-barriers.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Batool, ., Zhao, ZY., Nureen, N. et al. Assessing and prioritizing biogas barriers to alleviate energy poverty in Pakistan: an integrated AHP and G-TOPSIS model. Environ Sci Pollut Res 30, 94669–94693 (2023). https://doi.org/10.1007/s11356-023-28767-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11356-023-28767-4

Keywords

Navigation