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

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

National Spatial Data Infrastructure vs. Cadastre System for Economic Development: Evidence from Pakistan
land; NSDI; cadastre; economic development; agricultural policy-making

Resource information

Date of publication
januari 2021
Resource Language
ISBN / Resource ID
2073-445X
Pages
17

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.

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Authors and Publishers

Author(s), editor(s), contributor(s)

Asmat Ali , Muhammad Imran

Geographical focus