Economic and Agricultural Geography: Spatial Organisation of Economic Activities, Natural Resources and Energy Crises, Land Capability, Crop Combination, Von Thünen and Agricultural Productivity

Unit VI has five named blocks, and this platform gives it four chapters: this one joins the first two — economic geography and agricultural geography — because the economic-geography block is short and its resource themes lead straight into land. From economic geography it takes the factors affecting the spatial organisation of primary, secondary, tertiary and quaternary activities (the document spells the last "quarternary"), natural resources (classification, distribution, problems and management) and world energy crises. From agricultural geography it takes land capability classification and land-use planning, the crop-combination methods of Weaver, Doi and Rafiullah, crop diversification, von Thünen's model (the document writes "Von Thunen"), the measurement and determinants of agricultural productivity, and the agricultural systems of the world. The quantitative methods are worked through.

1. Spatial organisation of economic activities and natural resources

Economic activities are grouped into sectors. Primary activities extract from nature — agriculture, forestry, fishing, mining. Secondary activities transform materials — manufacturing and construction. Tertiary activities provide services — trade, transport, administration. Quaternary activities (the correct spelling of the document's "quarternary") handle knowledge and information — research and development, finance, consultancy, information technology; some geographers add a quinary tier of top-level decision-makers. The Clark–Fisher model (A.G.B. Fisher, Colin Clark, 1940) describes how, as income rises, employment shifts from primary to secondary to tertiary. The spatial organisation of all of them depends on physical factors (resources, climate, relief, soils), economic factors (markets, capital, labour, transport cost and the friction of distance, and agglomeration economies), political and institutional factors (policy, tariffs, property rights), social and cultural factors, and history — an initial advantage tends to cumulate.

Erich Zimmermann (World Resources and Industries, 1933) gave the functional definition: "Resources are not, they become." A substance is only "neutral stuff" until human wants and abilities — technology, capital, institutions — make it useful; petroleum was not a resource before the internal-combustion engine. Resources are classified by origin (biotic and abiotic), by renewability (continuous flow resources such as solar and wind energy; renewable biotic resources such as forests and fisheries, which can be exhausted if over-used; and non-renewable stock resources — fossil fuels, which are consumed, and metals, which can be recycled), by distribution (ubiquities available everywhere, such as air; commonalities found widely; rarities; and uniquities found at one or two places), by ownership and by stage of development (potential, developed, reserve and stock). Their uneven distribution — the Middle East holds close to half the world's proven oil reserves — creates dependence, geopolitical conflict and, in some producers, the resource curse, in which mineral wealth coincides with slow growth and weak institutions (Richard Auty, 1993).

Natural resources management ranges from Gifford Pinchot's utilitarian wise use to John Muir's preservation, and today rests on sustainable yield (harvesting no more than regrowth, as in the maximum sustainable yield of fisheries), integrated watershed management, the recycling of the circular economy, and community-based management — India's Joint Forest Management (1990) made village committees partners of the forest department. The world energy crises show how resource geography becomes world politics. In 1973 the Arab oil producers (OAPEC) embargoed supplies to countries backing Israel in the October war and the price of crude roughly quadrupled; in 1979 the Iranian revolution doubled it again; prices spiked in the Gulf crisis of 1990, reached a record near 147 dollars a barrel in 2008, and in 2022 Russia's invasion of Ukraine set off a European gas crisis. For developed countries the crisis is one of energy security and import dependence, driving diversification, efficiency and the shift to renewables; for developing countries it is also energy poverty — about 685 million people, most in sub-Saharan Africa, still lacked electricity in 2022, and some two billion lacked clean cooking fuel. M. King Hubbert's 1956 peak-oil forecast framed the long-run debate over depletion.

2. Land capability classification, land-use planning and crop combination

The land capability classification of the US Soil Conservation Service (Klingebiel and Montgomery, 1961) grades land by the degree of its limitations for sustained use without degradation. Classes I to IV are suitable for cultivation, with limitations that increase from none (I) to very severe, requiring careful management (IV); classes V to VIII are generally unsuitable for cultivation — V is wet or stony but not erodible and suits pasture, VI and VII have severe limitations and suit grazing or forestry, and VIII is fit only for wildlife, recreation, water supply or aesthetic purposes. Subclasses name the limitation: e erosion, w wetness, s soil in the root zone, c climate. Land-use planning matches use to capability; in India it starts from the nine-fold land-use classification of the land records — forest, land put to non-agricultural uses, barren and unculturable land, permanent pastures, land under miscellaneous tree crops, culturable waste, current fallows, other fallows and net sown area.

A crop-combination region is defined by the group of crops that together dominate its cropped area. J.C. Weaver (1954, for the American Midwest) compared the actual percentage shares of the leading crops with theoretical curves — 100 per cent for monoculture, 50–50 for two crops, 33.3 each for three, and so on — and chose the combination with the lowest variance, σ² = Σd² ÷ n, where d is the difference between actual and theoretical shares and n the number of crops. Worked example: wheat 60 per cent, rice 30 per cent, maize 10 per cent. One crop: (60 − 100)² ÷ 1 = 1,600. Two crops: [(60 − 50)² + (30 − 50)²] ÷ 2 = (100 + 400) ÷ 2 = 250. Three crops: [(60 − 33.3)² + (30 − 33.3)² + (10 − 33.3)²] ÷ 3 ≈ 1,266.7 ÷ 3 ≈ 422. The minimum is 250, so the region is a wheat–rice combination. K. Doi (1959, Japan) simplified the procedure, using Σd² with a ready-reckoner table of critical values so that the combination can be read off without computing every variance. S.M. Rafiullah (1956) proposed the maximum positive deviation method, which treats positive and negative deviations separately and selects the combination with the largest positive value, to avoid Weaver's tendency to yield combinations with too many or too few crops in some settings.

Crop diversification is the opposite of specialisation — the number of crops grown and the evenness of their shares. It is commonly measured by the Gibbs–Martin index (1962), 1 − Σx² ÷ (Σx)², where x is the area under each crop: 0 means monoculture and values approaching 1 mean many crops in similar proportions; Bhatia (1965) used the share of cropped area under crops each occupying at least 10 per cent, divided by their number. Diversification spreads risk and supports soil health; specialisation raises efficiency and market income.

3. Von Thünen's model of agricultural land use

Johann Heinrich von Thünen, a Mecklenburg landowner, published Der isolierte Staat (The Isolated State) in 1826. He imagined a single city at the centre of a uniform, fertile plain cut off from the outside world, with farmers who carry produce to the city by horse and cart at a cost proportional to distance and who maximise profit. The key quantity is locational (economic) rent per unit of land: R = Y(p − c) − Y f k, where Y is yield per unit of land, p the market price per unit of produce, c the production cost per unit, f the freight rate per unit per kilometre and k the distance to market. Rent falls with distance, and each crop has its own rent line; at every distance the land goes to the use with the highest rent. Example: Y = 10 tonnes a hectare, p = 100, c = 50, f = 2 per tonne-kilometre and k = 10 km give R = 10 × 50 − 10 × 2 × 10 = 500 − 200 = 300; rent falls to zero at k = 500 ÷ 20 = 25 km, the margin of cultivation for that crop.

Ring (from the city outward)Land useWhy here
1Free-cash cropping: market gardening and dairyingPerishable produce, high value per hectare
2Forestry for fuel and timberHeavy, bulky and needed in large quantities, so costly to haul
3Intensive crop rotation without fallowGrain and root crops, intensively worked
4Crop rotation with pasture (improved system)Grain alternating with grass and livestock
5Three-field systemLess intensive, with a fallow year
6Livestock ranchingAnimals walk to market; lowest rent per hectare
🎯 Why forestry sat so close to the city
In an early nineteenth-century town, wood was the main fuel and building material, used in great bulk, and hauling it by cart was ruinously expensive. So forestry could outbid grain near the city. Modern fuels removed that logic, which is the standard example of how the model's pattern depends on its transport technology, not on crops as such. Von Thünen himself showed that a navigable river would stretch the rings along it and a second town would create its own set.

The model survives as a way of thinking about distance and rent. Olof Jonasson (1925) found von Thünen-like zones around the industrial core of north-western Europe at a continental scale; Robert Sinclair (1967) argued that around growing modern cities the pattern is reversed, because land near the urban edge is held for speculation and farmed extensively. Around Indian cities, belts of vegetable, flower and milk production are the recognisable first ring.

4. Agricultural productivity and agricultural systems of the world

Agricultural productivity is output per unit of input — usually per hectare, sometimes per worker. Because regions grow different crops, geographers use composite indices. M.G. Kendall's ranking coefficient (1939) ranks each areal unit by its yield of each crop and averages the ranks — the lower the average rank, the higher the productivity. Other indices were proposed by Enyedi (1964), Jasbir Singh and Mohammad Shafi, among others, many weighting yields by the share of area under each crop. The determinants are physical (soil, water, climate, relief), technological (high-yielding varieties, irrigation, fertilisers, mechanisation), institutional (land tenure, size of holdings, credit, extension, markets and prices) and infrastructural (roads, storage, power). Regional variations in India follow them closely: productivity is highest in the irrigated north-west (Punjab, Haryana, western Uttar Pradesh) and in the deltas, and lowest in the rainfed plateaux.

The classic classification of agricultural systems of the world is Derwent Whittlesey's (1936). He used five criteria — the crop and livestock combination, the intensity of land use, the processing and marketing of farm produce, the degree of mechanisation, and the types and associations of farm buildings — to define thirteen types: nomadic herding; livestock ranching; shifting cultivation; rudimental sedentary tillage; intensive subsistence tillage with rice dominant; intensive subsistence tillage without paddy rice; commercial plantation crop tillage; Mediterranean agriculture; commercial grain farming; commercial livestock and crop farming (mixed farming); subsistence crop and stock farming; commercial dairy farming; and specialised horticulture.

Key takeaways

  • Primary, secondary, tertiary and quaternary (the document's "quarternary") sectors; Clark–Fisher sectoral shift; location shaped by physical, economic (friction of distance, agglomeration), institutional, social and historical factors.
  • Zimmermann: "resources are not, they become"; classified by origin, renewability, distribution (ubiquities to uniquities), ownership and development; the energy crises of 1973, 1979 and 2022 and energy poverty mark the divide between developed and developing countries.
  • USDA land capability: classes I–IV cultivable, V–VIII not; subclasses e, w, s, c; India's nine-fold land-use classification underlies land-use planning.
  • Weaver (1954): the combination with the least variance Σd² ÷ n; Doi (1959) simplified it; Rafiullah (1956) used the maximum positive deviation; Gibbs–Martin measures diversification.
  • Von Thünen (1826): R = Y(p − c) − Yfk; rings of market gardening, forestry, rotations, three-field system and ranching; Kendall's ranking coefficient measures productivity; Whittlesey (1936) defined thirteen world agricultural systems.

Practice questions (11)

Attempt each one before opening the answer. Every explanation names the tempting wrong option as well as the right one, because that is where marks are lost.

  1. "Resources are not, they become" is the functional view of resources associated with:

    1. Gifford Pinchot
    2. Richard Auty
    3. Erich Zimmermann
    4. M. King Hubbert
    Show answer

    Answer: C — Erich Zimmermann

    Zimmermann argued that substances become resources only when human wants and capabilities make them useful. Hubbert forecast peak oil, Auty named the resource curse, and Pinchot advocated the wise use of forests.
  2. Research and development, financial analysis and information-technology services belong to which sector of economic activity?

    1. Quaternary
    2. Primary
    3. Secondary
    4. Tertiary transport
    Show answer

    Answer: A — Quaternary

    The quaternary sector — spelled "quarternary" in the official syllabus — handles knowledge and information. Tertiary covers general services such as trade and transport; secondary is manufacturing; primary is extraction.
  3. The oil crisis of 1973 was set off by:

    1. Russia's invasion of Ukraine
    2. The Iranian revolution
    3. Iraq's invasion of Kuwait
    4. An embargo by Arab oil producers during the October (Yom Kippur) war
    Show answer

    Answer: D — An embargo by Arab oil producers during the October (Yom Kippur) war

    OAPEC's embargo against countries supporting Israel in October 1973 roughly quadrupled crude prices. The Iranian revolution caused the 1979 shock, Iraq's invasion of Kuwait the 1990 spike, and the Ukraine war the 2022 gas crisis.
  4. Which of the following are non-renewable stock resources? Select all that apply.

    1. Forests
    2. Coal
    3. Natural gas
    4. Solar energy
    Show answer

    Answer: B — Coal; C — Natural gas

    Coal and natural gas are fossil fuels formed over geological time and consumed in use. Solar energy is a continuous flow resource, and forests are renewable biotic resources — exhaustible only if cut faster than they regrow.
  5. In the USDA land capability classification, land suitable for regular cultivation falls in:

    1. Classes VI and VII only
    2. Classes I to IV
    3. Classes V to VIII
    4. Class VIII only
    Show answer

    Answer: B — Classes I to IV

    Classes I–IV can be cultivated, with limitations rising from none to very severe; classes V–VIII are generally unsuited to cultivation and are used for pasture, grazing, forestry or, in class VIII, wildlife and recreation.
  6. A region's cropped area is 60 per cent wheat, 30 per cent rice and 10 per cent maize. Using Weaver's method (variance = Σd² ÷ n), what is the variance for the two-crop combination? Type a number.

    Numerical answer — type the value.

    Show answer

    Answer: 250

    For two crops the theoretical shares are 50 and 50: d = 60 − 50 = 10 and 30 − 50 = −20, so Σd² = 100 + 400 = 500 and variance = 500 ÷ 2 = 250. This is lower than for one crop (1,600) or three (about 422), so the region is a wheat–rice combination.
  7. K. Doi's method of delineating crop-combination regions (1959) is best described as:

    1. A measure of locational rent by distance
    2. A ranking of yields across areal units
    3. A simplification of Weaver's method using Σd² and a table of critical values
    4. A classification of land by its limitations
    Show answer

    Answer: C — A simplification of Weaver's method using Σd² and a table of critical values

    Doi kept Weaver's logic of comparing actual with theoretical shares but used Σd² with a ready-reckoner of critical values, avoiding repeated variance calculations. Ranking of yields is Kendall's productivity method; limitation classes are land capability.
  8. In von Thünen's original model, the ring immediately beyond market gardening and dairying was devoted to:

    1. Livestock ranching
    2. Commercial grain farming
    3. The three-field system
    4. Forestry
    Show answer

    Answer: D — Forestry

    The second ring was forest for fuel and timber, because wood was bulky, heavy and in constant demand, so hauling it far was prohibitively costly. Ranching occupied the outermost ring.
  9. Using von Thünen's rent equation R = Y(p − c) − Y f k, find the locational rent when yield Y = 10 t/ha, price p = 100 per t, production cost c = 50 per t, freight f = 2 per t per km and distance k = 10 km. Type a number.

    Numerical answer — type the value.

    Show answer

    Answer: 300

    R = 10 × (100 − 50) − 10 × 2 × 10 = 500 − 200 = 300 per hectare. Setting R = 0 gives the margin of cultivation for this crop at k = 500 ÷ 20 = 25 km.
  10. The classification of the world's agricultural systems into thirteen types, using five criteria including intensity of land use and degree of mechanisation, was made by:

    1. Derwent Whittlesey
    2. Olof Jonasson
    3. J.C. Weaver
    4. M.G. Kendall
    Show answer

    Answer: A — Derwent Whittlesey

    Whittlesey's 1936 scheme, from nomadic herding to specialised horticulture, remains the standard world classification. Weaver delineated crop combinations, Kendall ranked productivity, and Jonasson applied von Thünen's rings to Europe.
  11. Assertion (A): In von Thünen's model, forestry occupied the ring next to market gardening, close to the city. Reason (R): Wood was heavy and bulky and was needed in large quantities for fuel and building, so it was costly to transport. Choose the correct option.

    1. Both A and R are true, and R is the correct explanation of A
    2. Both A and R are true, but R is not the correct explanation of A
    3. A is true, but R is false
    4. A is false, but R is true
    Show answer

    Answer: A — Both A and R are true, and R is the correct explanation of A

    Both are true and R explains A: high transport cost per unit of value gave forestry a steep rent line, so it outbid grain close to the city. The pattern belongs to horse-and-cart transport and wood fuel.