Operational indicators for measuring agricultural sustainability in developing countries

Environ Manage. 2003 Jul;32(1):34-46. doi: 10.1007/s00267-003-2881-1.

Abstract

This paper reviews relevant literature on the sustainability indicators theoretically proposed and practically applied by scholars over the past 15 years. Although progress is being made in the development and critical analysis of sustainability indicators, in many cases existing or proposed indicators are not the most sensitive or useful measures in developing countries. Indicator selection needs to meet the following criteria: relative availability of data representing the indicators, sensitivity to stresses on the system, existence of threshold values and guidelines, predictivity, integratability and known response to disturbances, anthropogenic stresses, and changes over time. Based on these criteria, this paper proposes a set of operational indicators for measuring agricultural sustainability in developing countries. These indicators include ecological indicators involving amounts of fertilizers and pesticides used, irrigation water used, soil nutrient content, depth to the groundwater table, water use efficiency, quality of groundwater for irrigation, and nitrate content of both groundwater and crops. Economic indicators include crop productivity, net farm income, benefit-cost ratio of production, and per capita food grain production. Social indicators encompass food self-sufficiency, equality in food and income distribution among farmers, access to resources and support services, and farmers' knowledge and awareness of resource conservation. This article suggests that the selection of indicators representing each aspect of sustainability should be prioritized according to spatial and temporal characteristics under consideration.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Agriculture* / economics
  • Conservation of Natural Resources* / economics
  • Cost-Benefit Analysis
  • Developing Countries*
  • Food Supply
  • Forecasting
  • Humans
  • Income
  • Models, Theoretical*