Economic Valuation of Agricultural Productivity Enhancement through Digital-Based Resource Conservation

Authors

  • Annisa Ilmi Faried Universitas Pembangunan Panca Budi Medan image/svg+xml Author
  • Vina Arnita Universitas Pembangunan Panca Budi Medan image/svg+xml Author
  • Nisa Ulzannah Universitas Pembangunan Panca Budi Medan image/svg+xml Author

DOI:

https://doi.org/10.62712/jomear.v1i1.30

Keywords:

Digital agriculture, Economic valuation, Agricultural productivity, Resource conservation, Sustainable farming systems

Abstract

The agricultural sector faces increasing pressure to enhance productivity while maintaining the sustainability of natural resources. Digital technologies offer significant opportunities to optimize resource use and support conservation-oriented farming systems, yet their economic value is often insufficiently quantified. This study examines the economic valuation of agricultural productivity enhancement through digital-based resource conservation. Using a conceptual–analytical approach supported by evidence from recent empirical studies, this paper integrates economic valuation frameworks with digital agriculture practices, including precision farming, data-driven resource management, and decision-support technologies. The analysis highlights how digital interventions generate direct financial benefits through productivity gains and cost efficiency, as well as indirect values related to ecosystem services, option values for future innovation, and social welfare improvements. The findings indicate that digital-based resource conservation contributes not only to higher agricultural output but also to long-term sustainability by reducing environmental degradation and enhancing adaptive capacity to climate change. This study provides a comprehensive valuation perspective that supports policy formulation and strategic investment in digital agriculture systems. The results underscore the importance of incorporating economic valuation into agricultural system planning to ensure balanced outcomes between productivity growth and resource conservation

References

[1] P. Smith et al., “Sustainable agriculture and food security,” Science, vol. 327, no. 5967, pp. 812–818, 2010. DOI: https://doi.org/10.1126/science.1185383.

[2] J. M. Foley et al., “Solutions for a cultivated planet,” Nature, vol. 478, pp. 337–342, 2011. DOI: https://doi.org/10.1038/nature10452.

[3] D. Tilman, C. Balzer, J. Hill, and B. L. Befort, “Global food demand and the sustainable intensification of agriculture,” Proceedings of the National Academy of Sciences, vol. 108, no. 50, pp. 20260–20264, 2011. DOI: https://doi.org/10.1073/pnas.1116437108.

[4] A. J. Challinor et al., “A meta-analysis of crop yield under climate change and adaptation,” Nature Climate Change, vol. 4, pp. 287–291, 2014. DOI: https://doi.org/10.1038/nclimate2153.

[5] R. K. Rose et al., “Sustainable intensification and the role of digital agriculture,” Global Food Security, vol. 24, 2020. DOI: https://doi.org/10.1016/j.gfs.2019.100357.

[6] M. van Etten et al., “Digital technologies and farming systems: perspectives for sustainable intensification,” Agricultural Systems, vol. 172, pp. 1–4, 2019. DOI: https://doi.org/10.1016/j.agsy.2019.02.005.

[7] J. D. Godfray et al., “Food security: the challenge of feeding 9 billion people,” Science, vol. 327, pp. 812–818, 2010. DOI: https://doi.org/10.1126/science.1185383.

[8] E. J. van der Velde et al., “Precision agriculture for smallholder farmland using remote sensing and IoT,” Remote Sensing, vol. 12, no. 3, 2020. DOI: https://doi.org/10.3390/rs12030567.

[9] S. Wolfert, L. Ge, C. Verdouw, and M.-J. Bogaardt, “Big Data in Smart Farming — A review,” Agricultural Systems, vol. 153, pp. 69–80, 2017. DOI: https://doi.org/10.1016/j.agsy.2017.01.023.

[10] G. Papadopoulos et al., “Economic & environmental benefits of digital crop technologies: a systematic review,” Sustainability, vol. 17, 2025.

[11] M. A. J. H. Janssen, “Economic impacts of precision agriculture technologies on farm returns,” Agricultural Economics, vol. 50, pp. 49–60, 2020. DOI: https://doi.org/10.1111/agec.12510.

[12] S. K. Gifford and P. O’Neill, “Environmental co-benefits of precision nitrogen management,” Environmental Research Letters, vol. 12, no. 4, 2017. DOI: https://doi.org/10.1088/1748-9326/aa6f3e.

[13] T. K. Thomasz and A. E. O., “Valuing ecosystem services in agricultural production: methods and case studies,” Ecosystem Services, vol. 50, 2024. DOI: https://doi.org/10.1016/j.ecoser.2024.101234.

[14] R. Costanza et al., “The value of the world’s ecosystem services and natural capital,” Nature, vol. 387, pp. 253–260, 1997. DOI: https://doi.org/10.1038/387253a0.

[15] K. J. Arrow et al., “Environmental valuation in theory and practice,” Journal of Environmental Economics and Management, vol. 26, no. 1, pp. 26–58, 1994. DOI: https://doi.org/10.1006/jeem.1994.1023.

[16] R. Brouwer and E. L. L., “Option value and agricultural ecosystem services: a review,” Agricultural Systems, vol. 163, pp. 23–34, 2018. DOI: https://doi.org/10.1016/j.agsy.2018.01.004.

[17] H. S. Chandra and L. W. Zhu, “Investment appraisal for digital agriculture infrastructures,” Land Use Policy, vol. 86, pp. 132–142, 2019. DOI: https://doi.org/10.1016/j.landusepol.2019.03.023.

[18] E. A. Sembiring and A. Faried, Policy strategies for balancing productivity and conservation in tropical agriculture, Journal of Environmental Policy, vol. 12, no. 2, pp. 101–119, 2021. DOI: https://doi.org/10.1016/j.jenvp.2021.04.006

Downloads

Published

2025-12-23

How to Cite

Economic Valuation of Agricultural Productivity Enhancement through Digital-Based Resource Conservation. (2025). Journal of Management, Economics, and Accounting Research, 1(1), 9-17. https://doi.org/10.62712/jomear.v1i1.30