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National Spatial Data Infrastructure vs Cadastre System for Economic Development: Evidence from Pakistan

Author

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  • Asmat Ali

    (Institute of Geo-Information & Earth Observation, PMAS-ARID Agriculture University, Rawalpindi 46000, Pakistan)

  • Muhammad Imran

    (Institute of Geo-Information & Earth Observation, PMAS-ARID Agriculture University, Rawalpindi 46000, Pakistan)

Abstract

The growth of Pakistan’s agriculture-based economy depends on elevating agriculture production and raising the per-capita income of rural communities. This paper evaluates the value of two simultaneous initiatives for the economic development of Pakistan, i.e., (i) reforming and modernization of the cadastre system, and (ii) the implementation of national spatial data infrastructure (NSDI). Both can provide crucial frameworks to assemble geographic information necessary for effective agriculture policies in the country. Their execution at the national level requires substantial technical, human, and finical resources. These mega initiatives may become highly challenging, due to the already shrinking economy of the country from COVID-19. The study makes use of an evaluation framework, official documents, such as project proposals, minutes of meetings, in addition to data collected through questionnaire and from ministries, such as the ministry of planning, development, and reforms (commonly known as planning commission), as well as Pakistan bureau of statistics. Our findings indicate that both the projects share some commonalities in terms of benefits, problems, and resources. However, the economic benefits of the NSDI project are high compared to the cadastre for the country, especially for effective agricultural policy-making. The results output will help practitioners from both systems to reduce the overlapping value, cost, and scope of the work involved.

Suggested Citation

  • Asmat Ali & Muhammad Imran, 2021. "National Spatial Data Infrastructure vs Cadastre System for Economic Development: Evidence from Pakistan," Land, MDPI, vol. 10(2), pages 1-17, February.
    • Handle: RePEc:gam:jlands:v:10:y:2021:i:2:p:188-:d:498634
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    References listed on IDEAS

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    1. Sana Khushi & Sajid Rashid Ahmad & Ather Ashraf & Muhammad Imran, 2020. "Spatially analyzing food consumption inequalities using GIS with disaggregated data from Punjab, Pakistan," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 12(6), pages 1283-1298, December.
    2. Yola Georgiadou & Satish K. Puri & Sundeep Sahay, 2005. "The Rainbow Metaphor: Spatial Data Infrastructure Organization and Implementation in India," International Studies of Management & Organization, Taylor & Francis Journals, vol. 35(4), pages 48-70, January.
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    Cited by:

    1. Muhammad Sheraz Ahsan & Ejaz Hussain & Zahir Ali & Jaap Zevenbergen & Salman Atif & Mila Koeva & Abdul Waheed, 2023. "Assessing the Status and Challenges of Urban Land Administration Systems Using Framework for Effective Land Administration (FELA): A Case Study in Pakistan," Land, MDPI, vol. 12(8), pages 1-27, August.
    2. Malgorzata Busko & Michal Apollo, 2023. "Public Administration and Landowners Facing Real Estate Cadastre Modernization: A Win-Lose or Win-Win Situation?," Resources, MDPI, vol. 12(6), pages 1-18, June.

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