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Briefing Rooms

Global Resources and Productivity: Questions and Answers

Q. How does resource quality affect agricultural productivity worldwide?

A. Most differences in agricultural productivity, whether across countries or over time, can be attributed to differences in the quantity of conventional inputs used in agricultural production, such as land, labor, fertilizer, and machinery. But agricultural productivity also depends critically on the quality of inputs used, including land. Nevertheless, resource quality has received insufficient attention in the past because appropriate data have been scarce. Recent advances in data and analytical methods allow improved understanding of the ways in which land quality affects agricultural productivity, both directly and through other inputs and factors.

Land Quality

Land—embodying soils, climate, and other characteristics—is one of the most basic resources used in agricultural production. Based on assessments by USDA's Natural Resources Conservation Service of the suitability of soils and climate for agricultural production, land quality varies widely both between countries and within countries. Annual rainfall also varies both geographically and over time. Poor soils and climate do not preclude agricultural production, but they do tend to raise costs of production and reduce yields and net returns relative to those realized in more favorable environments.

Satellite data on land cover compiled by the U.S. Geological Survey show that crop production areas correspond closely to areas of high land quality, although other physical and economic characteristics (such as market proximity) are also important in determining the location of crop production. Combining this information on soils, climate, and land cover allows us to compare the quality of cropland by country and region. Cropland quality is highest, on average, in Eastern Europe and lowest in sub-Saharan Africa.

Agricultural Productivity

Not surprisingly, econometric analysis of data from 110 countries over 1961-97 reveals that, after taking into account other factors such as input levels, differences in the quality of cropland soils and climate are significantly related to differences in agricultural productivity.

  • In sub-Saharan Africa, the productivity of agricultural land is 28 percent higher, on average, in countries with high land quality than it is in countries with poor land quality.
  • In Asia, the productivity gain attributable to high land quality is 34 percent.
  • In high-income countries (including the United States), the productivity gain attributable to high land quality is 22 percent.
  • In Latin America, where most countries lie above the global median in terms of land quality, only the best soils and climate are significantly associated with increased agricultural productivity.

Conventional Inputs and Other Factors

Land quality also affects the impact on agricultural productivity of more conventional inputs, such as quantities of land, labor, and fertilizer. In sub-Saharan African countries with good soils and climate, agricultural land productivity rises significantly with increases in labor, livestock, tractors, fertilizer, and annual rainfall. Productivity also improves with irrigation, labor quality (as measured by longer life expectancy and higher literacy rates), and transportation infrastructure, and falls significantly with the occurrence of armed conflict. In sub-Saharan African countries with poor soils and climate, productivity responds even more strongly to fertilizer application, irrigation, and political instability, but is not sensitive to improvements in tractors, labor quality, or infrastructure.

Overall, the results suggest a land quality-related hierarchy of constraints limiting agricultural productivity in sub-Saharan Africa. In countries poorly endowed with soils and climate, basic inputs such as fertilizer, water (in the form of irrigation), and institutional stability are more important than they are in countries that are relatively well endowed. The evidence suggests that only when these land quality constraints have been overcome do factors such as labor quality, road density, and mechanization become significantly associated with improvements in agricultural productivity—as they are in countries with better soils and climate.

Similar patterns characterize other developing regions. In Latin America, increases in labor, fertilizer, and irrigation are associated with increased productivity of agricultural land in countries with poor soils and climate, but not in countries with good soils and climate. Improvements in literacy and transportation infrastructure are associated with increased productivity in countries with good soils and climate, but not in those that are poorly endowed.

In Asia, additional land, labor, and roads increase agricultural productivity in countries with good soils and climate, but not in those that are poorly endowed, where productivity is relatively more sensitive to increased irrigation. In the Middle East and North Africa, agricultural productivity is sensitive to levels of labor, tractors, and literacy in well-endowed countries, but not in countries with poor soils and climate, where (as in Asia) productivity is relatively more sensitive to increased irrigation.

Land Degradation

Analysis of differences in land quality across countries and regions also provides an initial indication of the potential impact on agricultural productivity of changes in land quality, such as land degradation, over time. Data on land degradation rates and impacts remain even more scarce than data on land quality, but most studies to date find that productivity losses due to processes such as soil erosion, nutrient depletion, and salinization are small (around 0.1 - 0.2 percent per year) in relation to historic gains in productivity (around 2 percent per year) due to improvements in technology and input use. Nevertheless, in some areas characterized by poor or fragile soils and inappropriate agricultural management practices, productivity losses could be significantly higher.

For more information, contact: Keith Fuglie

Web administration: webadmin@ers.usda.gov

Updated date: November 19, 2002