Significance of drone technology for achievement of the United Nations sustainable development goals

H. Kitonsa and Sergei Kruglikov

R-Economy, 2018, vol. 4, issue 3, 115-120

Abstract: The drone technology, which originated in military applications, is now widely used for commercial, professional, industrial and private purposes. Applications of Unmanned Aerial Vehicles (UAVs), commonly known as drones, include different sectors of economy, for example, agriculture, transport, infrastructure, entertainment, and telecommunications. Not only are drones eco-friendly gadgets that allow to reduce the amount of carbon dioxide emissions, but they are also time- and cost-efficient. Thus, drones can prove to be a major force for good as they hold massive potential for being used to meet the sustainable development goals (SDGs) set by the United Nations Organization and adopted in 2015. Developing countries, for instance those of Sub-Saharan Africa, are facing famine, epidemic diseases, poverty and other challenges. All these problems can be addressed with the help of the drone technology. The main objective of this paper is to identify the sectors that are most likely to be influenced by the drone technology and to highlight the scenarios in which this technology can infl uence the achievement of the SDGs. One of the most promising spheres in this respect is the usage of drones as delivery vehicles in agriculture, e-commerce, and health care. Moreover, drones can be effective for monitoring and surveillance in international and domestic law enforcement, wildlife preservation and scientific research.

Keywords: DRONE TECHNOLOGY; UNMANNED AERIAL VEHICLES; SUSTAINABLE DEVELOPMENT GOALS; UNITED NATIONS; AGRICULTURAL DRONES; DRONE APPLICATIONS; DRONE RISKS (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://hdl.handle.net/10995/65197 (application/pdf)

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:aiy:journl:v:4:y:2018:i:3:p:115-120

DOI: 10.15826/recon.2018.4.3.016

Access Statistics for this article

R-Economy is currently edited by Irina Turgel

More articles in R-Economy from Ural Federal University, Graduate School of Economics and Management Contact information at EDIRC.
Bibliographic data for series maintained by Irina Turgel ().