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Measuring Sustainable Intensification Using Satellite Remote Sensing Data

Author

Listed:
  • Francisco J. Areal

    (School of Natural and Environmental Sciences, Newcastle University, Newcastle Upon Tyne NE1 7RU, UK)

  • Wantao Yu

    (Roehampton Business School, University of Roehampton, London SW15 5PU, UK)

  • Kevin Tansey

    (School of Geography, Geology and the Environment, University of Leicester, Leicester LE1 7RH, UK)

  • Jiahuan Liu

    (China Agriculture University, No. 2 Old Summer Palace West Road, Haidian District, Beijing 100193, China)

Abstract

Farm-level sustainable intensification metrics are needed to evaluate farm performance and support policy-making processes aimed at enhancing sustainable production. Farm-level sustainable intensification metrics require environmental impacts associated with agricultural production to be accounted for. However, it is common that such indicators are not available. We show how satellite-based remote sensing information can be used in combination with farm efficiency analysis to obtain a sustainable intensification (SI) indicator, which can serve as a sustainability benchmarking tool for farmers and policy makers. We obtained an SI indicator for 114 maize farms in Yangxin County, located in the Shandong Province in China, by combining information on maize output and inputs with satellite information on the leaf area index (from which a nitrogen environmental damage indicator is derived) into a farm technical efficiency analysis using a stochastic frontier approach. We compare farm-level efficiency scores between models that incorporate environmental damage indicators based on satellite-based remote sensing information and models that do not account for environmental impact. The results demonstrate that (a) satellite-based information can be used to account for environmental impacts associated with agriculture production and (b) how the environmental impact metrics derived from satellite-based information combined with farm efficiency analysis can be used to obtain a farm-level sustainable intensification indicator. The approach can be used to obtain tools for farmers and policy makers aiming at improving SI.

Suggested Citation

  • Francisco J. Areal & Wantao Yu & Kevin Tansey & Jiahuan Liu, 2022. "Measuring Sustainable Intensification Using Satellite Remote Sensing Data," Sustainability, MDPI, vol. 14(3), pages 1-13, February.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:3:p:1832-:d:742884
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    References listed on IDEAS

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    1. Lansink, Alfons Oude & Reinhard, Stijn, 2004. "Investigating technical efficiency and potential technological change in Dutch pig farming," Agricultural Systems, Elsevier, vol. 79(3), pages 353-367, March.
    2. Areal, Francisco J. & Tiffin, Richard & Balcombe, Kelvin G., 2012. "Provision of environmental output within a multi-output distance function approach," Ecological Economics, Elsevier, vol. 78(C), pages 47-54.
    3. Areal, Francisco J. & Jones, Philip J. & Mortimer, Simon R. & Wilson, Paul, 2018. "Measuring sustainable intensification: Combining composite indicators and efficiency analysis to account for positive externalities in cereal production," Land Use Policy, Elsevier, vol. 75(C), pages 314-326.
    4. Picazo-Tadeo, Andrés J. & Beltrán-Esteve, Mercedes & Gómez-Limón, José A., 2012. "Assessing eco-efficiency with directional distance functions," European Journal of Operational Research, Elsevier, vol. 220(3), pages 798-809.
    5. S Reinhard & G Thijssen, 2000. "Nitrogen efficiency of Dutch dairy farms: a shadow cost system approach," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 27(2), pages 167-186, June.
    6. Xuejun Liu & Ying Zhang & Wenxuan Han & Aohan Tang & Jianlin Shen & Zhenling Cui & Peter Vitousek & Jan Willem Erisman & Keith Goulding & Peter Christie & Andreas Fangmeier & Fusuo Zhang, 2013. "Enhanced nitrogen deposition over China," Nature, Nature, vol. 494(7438), pages 459-462, February.
    7. Frederic Ang & Simon M. Mortimer & Francisco J. Areal & Richard Tiffin, 2018. "On the Opportunity Cost of Crop Diversification," Journal of Agricultural Economics, Wiley Blackwell, vol. 69(3), pages 794-814, September.
    8. Amani Omer & Unai Pascual & Noel P. Russell, 2007. "Biodiversity Conservation and Productivity in Intensive Agricultural Systems," Journal of Agricultural Economics, Wiley Blackwell, vol. 58(2), pages 308-329, June.
    9. Rolf Färe & Shawna Grosskopf & Carl A Pasurka, Jr., 2001. "Accounting for Air Pollution Emissions in Measures of State Manufacturing Productivity Growth," Journal of Regional Science, Wiley Blackwell, vol. 41(3), pages 381-409, August.
    10. Fare, Rolf & Grosskopf, Shawna & Tyteca, Daniel, 1996. "An activity analysis model of the environmental performance of firms--application to fossil-fuel-fired electric utilities," Ecological Economics, Elsevier, vol. 18(2), pages 161-175, August.
    11. Francisco José Areal & Kelvin Balcombe & Richard Tiffin, 2012. "Integrating spatial dependence into Stochastic Frontier Analysis," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 56(4), pages 521-541, October.
    12. Areal, Francisco Jose & Balcombe, Kelvin & Tiffin, Richard, 2012. "Integrated spatial dependence into Stochastic Frontier Analysis," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 56(4), pages 1-21, December.
    13. Fare, Rolf, et al, 1989. "Multilateral Productivity Comparisons When Some Outputs Are Undesirable: A Nonparametric Approach," The Review of Economics and Statistics, MIT Press, vol. 71(1), pages 90-98, February.
    14. Stijn Reinhard & C.A. Knox Lovell & Geert Thijssen, 1999. "Econometric Estimation of Technical and Environmental Efficiency: An Application to Dutch Dairy Farms," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(1), pages 44-60.
    15. Valerien O. Pede & Francisco J. Areal & Alphonse Singbo & Justin McKinley & Kei Kajisa, 2018. "Spatial dependency and technical efficiency: an application of a Bayesian stochastic frontier model to irrigated and rainfed rice farmers in Bohol, Philippines," Agricultural Economics, International Association of Agricultural Economists, vol. 49(3), pages 301-312, May.
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