AP Syllabus focus:
‘Intensive and extensive farming patterns are influenced in part by land costs, as explained by bid-rent theory.’
Land costs shape where different agricultural activities occur, and bid-rent theory helps explain how distance from markets influences farming intensity, land value, and production choices.
Land Costs and Agricultural Location
Agriculture is deeply influenced by the economic geography of land, especially the variation in land prices across space. Near urban centers, where accessibility is greatest, land values rise sharply because many users compete for limited space. Farther from the market, land becomes cheaper as transportation access declines and fewer economic activities can profitably locate there.
Farmers must therefore balance production costs, potential revenue, and transportation expenses, making land price a determining factor in what types of agriculture can operate in different zones.
Bid-Rent Theory
Bid-rent theory is a geographic model describing how land users are willing to pay different amounts for land depending on distance from the central market. Because some activities profit more from proximity while others can function at a distance, this creates spatial patterns of land use.
Bid-Rent Theory: A model explaining how the price and demand for land change with distance from a central market, based on users’ willingness to pay.
The theory assumes a single market center, uniform land quality, and rational decision-making—conditions rarely met exactly in reality but still useful for understanding why farming systems display particular spatial patterns. Between areas of high, medium, and low land cost, agriculture must adjust its strategies to remain profitable.
Bid-rent theory is an economic-geography model that explains how the price and demand for land change as distance from the market or city center increases.

This diagram shows bid-rent curves for different land users, illustrating how willingness to pay for land decreases with distance from the market center. Each downward-sloping curve represents a distinct land-use type, helping explain why intensive uses cluster near the core. The labeled land-use bands at the bottom extend beyond agricultural categories but demonstrate the same economic principle. Source.
How Distance Affects Land Value
Land value typically shows an inverse relationship with distance: the greater the distance from a city's core, the lower the cost of land. This occurs because transportation costs increase with distance, reducing the revenue farmers retain after delivering goods to market.
As a result, only agricultural systems capable of generating enough profit to offset high land prices can locate near the urban center. Less profitable or more land-intensive activities gravitate toward cheaper peripheral regions.
Farming Intensity and Land Costs
Farming intensity refers to how much labor, capital, and technology are applied per unit of land. Land cost is one of the strongest factors pushing farmers toward either intensive agriculture or extensive agriculture.
Intensive Farming Near the Market
High land costs near markets encourage agricultural practices that maximize production per acre. These include:
Market gardening, which uses high labor and capital inputs to produce perishable fruits and vegetables
Dairy farming, centered close to consumers due to perishability and high transport costs
Specialty crops requiring rapid delivery to maintain quality
Such systems apply greater investment in labor, machinery, fertilizers, and greenhouses to extract the maximum possible yield from limited and costly land.
Intensive Agriculture: Farming that uses large amounts of labor and capital relative to land area to achieve high yields.
Because intensive methods require significant inputs, they only make economic sense where land prices justify maximizing productivity.
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Extensive Agriculture: Farming that uses low labor and capital inputs per unit of land, relying on large areas to maintain output.
Extensive agriculture becomes viable only when land is cheap enough that farmers can cultivate or graze across broad spaces without excessive cost.
Intensive agriculture uses high inputs of labor, capital, or technology to produce high yields from a relatively small area of land.

These rice terraces show intensive farming, where steep terrain is reshaped to maximize productivity on limited land. The tight stacking of terraces highlights high labor and capital inputs. The regional context exceeds AP requirements but effectively illustrates land-intensifying strategies. Source.
Extensive Farming in Lower-Cost Zones
Farther from the market center, extensive systems dominate, including:
Ranching, where livestock roam across wide stretches of land
Nomadic herding, practiced where land has low economic value and productivity
Large-scale grain farming, which depends on mechanization rather than high labor inputs
These activities are profitable only where land prices are low, and transportation costs can be managed for goods that are non-perishable or easier to ship long distances.
Extensive agriculture uses lower inputs per unit of land and spreads production over large areas, including ranching, pastoral nomadism, and some grain farming.

This ranching scene illustrates extensive agriculture, with livestock dispersed across a broad landscape and low labor density per unit of land. The wide valley and distant settlement underscore the reliance on cheap, expansive land. Historical details exceed syllabus scope but enhance understanding of extensive land-use patterns. Source.
Bid-Rent Curves and Agricultural Decisions
Bid-rent theory can be represented using a bid-rent curve, which shows how much each land user is willing to pay at different distances from the market. Farmers producing highly perishable goods or those with high market value bid the most for land closest to consumers. As distance increases, the willingness to pay drops sharply.
Different agricultural systems therefore occupy different zones around the market, each optimizing the balance between land cost and transportation expenses.
= Price a farmer can afford to pay for land
= Cost of moving one unit of goods
= Miles or kilometers from the market
This formula highlights how transportation expenses directly reduce the amount farmers can allocate to land costs, shaping their feasible location.
Linking Bid-Rent to Farming Intensity
Farming intensity ultimately reflects a strategic response to varying land costs:
High-cost land → intensive farming with high yields per acre
Low-cost land → extensive farming using large land areas
Medium-cost land → mixed systems balancing labor, capital, and transport costs
Because intensive systems generate more revenue per unit of land, they can afford expensive land close to market centers. Extensive systems cannot, so they spread outward into cheaper regions.
FAQ
Technological improvements, particularly in transport efficiency, tend to flatten bid-rent curves by reducing the penalty of distance. As transport becomes faster or cheaper, farmers farther from the market retain more revenue after delivery.
This allows some intensive practices to spread outward and lowers the competitive advantage of being close to the market.
However, highly perishable crops may still maintain steep bid-rent gradients because technological change cannot fully remove spoilage risks.
Some high-value crops are grown far from markets because they require specific climates or soils unavailable near urban centres.
In these cases, natural suitability outweighs transport cost considerations, allowing distant locations to remain profitable.
Producers often compensate through:
Long-distance cold-chain logistics
Processing crops before shipment
Coordinated export infrastructure
Urban sprawl tends to increase land prices at the fringe, pushing farmers either to intensify production or to relocate.
Some farmers adopt transitional uses such as:
High-value niche crops
Greenhouse horticulture
Agritourism ventures
Others sell their land for development, reducing agricultural activity close to cities and shifting production outward.
Perishable goods lose value quickly during transport, making proximity to markets essential.
As a result, farmers growing perishable crops:
Use intensive methods to maximise yield on expensive land
Invest in rapid transport and storage systems
Crops with low perishability can tolerate distance, supporting more extensive practices on cheaper land.
Subsidies, tax incentives, and zoning rules can artificially raise or lower land values, altering where specific farming types can operate.
Policies may:
Encourage intensive production near cities by supporting high-value crops
Preserve farmland at the urban fringe through land-use restrictions
Promote extensive systems by offering grants for grazing or conservation land
These interventions modify the economic logic of bid-rent theory by reducing the influence of pure market forces.
Practice Questions
Question 1 (1–3 marks)
Explain how land values influence the location of intensive agricultural practices near a central market.
Mark scheme:
1 mark for identifying that high land values occur close to the market.
1 mark for stating that intensive agriculture requires maximising output per unit of land.
1 mark for explaining that farmers use intensive methods near the market because they must generate high returns to cover expensive land costs.
Question 2 (4–6 marks)
Using bid-rent theory, analyse why extensive farming systems are typically located farther from urban centres than intensive systems.
Mark scheme:
1 mark for defining or accurately describing bid-rent theory as relating land price or willingness to pay to distance from the market.
1 mark for stating that land values decline with distance from urban centres.
1 mark for explaining that extensive farming requires large areas of low-cost land.
1 mark for linking extensive farming’s lower labour and capital inputs to its need for cheaper peripheral land.
1 mark for contrasting this with intensive systems that can operate on expensive land due to higher yields and revenue per unit.
1 mark for overall analysis showing how bid-rent theory predicts the spatial separation of intensive and extensive systems.
