CUET UG Geography Booster Test 1-Economic Drivers and Land Changes

As an economy scales up, demographic expansion and technological capabilities increase the aggregate demand for food and spatial infrastructure. This mounting pressure forces communities to clear or cultivate less fertile, low-yield marginal fields that were previously left untouched (Statement I is correct). Population growth acts as a direct driver of this expanding economic output, boosting both labor supply and consumer demand (Statement III is correct). Conversely, statement II is false because land pressure is highly dynamic and increases directly with economic scale, confirming option C.

The sequence follows a clear economic cause-and-effect chain. Growth begins with demographic expansion and rising income levels (2). These factors fuel a broader expansion in the scale and output of the economy (4). As economic activities grow, they place heavier demands on finite resources, increasing pressure on existing land (1). Finally, to meet these demands, communities are forced to cultivate lower-quality, peripheral marginal fields (3). This establishes the sequence 2 to 4 to 1 to 3, validating option A.

When an economy shifts from primary agriculture to secondary manufacturing and tertiary services, its land requirements change. Industrial and service operations require built infrastructure like factories, corporate offices, warehouses, transport corridors, and housing developments. This infrastructure expansion converts surrounding agricultural fields into built environments, driving a shift from agricultural to non-agricultural land use, validating option B.

The textbook explains that changes in land use are closely linked with economic development. The tertiary sector includes service activities such as trade, transport, communication, and administration, which require commercial spaces, shops, and infrastructure (1 matches with Shops and infrastructural facilities). The primary sector mainly involves agriculture and depends on cultivated land, making Net Sown Area the appropriate match (2 matches with Net sown area). The secondary sector requires industrial plots for manufacturing activities, while urban growth leads to expansion of built-up land. Therefore, the correct matching is option A.

Statement I is incorrect because the conversion of land from agricultural to non-agricultural use is most visible and pronounced around large urban peripheries due to rapid suburban expansion. Statement II is correct because building or expanding physical settlements—whether urban housing or rural residential plots—directly increases the total land allocated to the non-agricultural category. This combination confirms option B.

The conversion of agricultural land into built real estate occurs most rapidly along the outer edges of expanding cities. As urban populations grow, developers buy up surrounding agricultural fields to build suburban housing, factories, highways, and retail centers. This makes the urban fringe a clear focal point for rapid land-use conversion, validating option A.

In developing economies like India, agriculture's share of total GDP drops quickly as the industrial and service sectors grow. However, the percentage of the population that relies on farming for employment declines at a much slower rate. Because millions of rural households remain dependent on a fixed amount of farmland for their livelihoods, the pressure on agricultural land remains intense even as its share of national income shrinks, validating option B.

During economic development, the contribution of agriculture to national income decreases rapidly because manufacturing and service sectors grow faster (1 matches with Declines fast). However, a large population continues to depend on agriculture for employment and livelihood, so the shift of workers to other sectors happens gradually (2 matches with Declines slowly). At the same time, the expansion of industries increases the contribution of the secondary sector (3 matches with Increases), while economic growth encourages urbanisation and increases the urban population share (4 matches with Increases). Therefore, the correct matching is option B.

Even though agriculture contributes less to national GDP over time, population growth means the total number of consumers who rely on it for food continues to rise. This growing demand requires available farmland to maintain high production levels to ensure food security for the country, validating option B.

Statement I is correct because population growth drives a continuous need for food production, keeping pressure high on available farmland. Statement II is false because the share of the population working in agriculture declines much more slowly than the sector's share of GDP, rather than dropping instantaneously. Statement III is false because marginal lands face direct pressure and are brought into active cultivation as regular fields become scarce. Therefore, only statement I is correct, validating option A.

Land utilization statistics are calculated using the total reporting area compiled by state revenue surveys. It is important to recognize this baseline because the reporting area differs slightly from the physical geographical area (measured by the Survey of India) due to incomplete cadastral surveys in certain regions. Because the total reporting area remains relatively constant over time, it creates a stable baseline where an increase in one land category must be balanced by a decline in another, validating option B.

The sequence follows a logical cause-and-effect progression within a closed statistical framework. First, the physical construction of the factory takes place on an open plot (2). This construction directly increases the total land classified under non-agricultural uses (1). Because the total reporting area is fixed and remains exactly the same (3), this expansion must be balanced by a trade-off elsewhere. As a result, the open land category—such as wasteland or agricultural land—registers a corresponding decline (4). This links the steps in the order 2 to 1 to 4 to 3, validating option A.

Statement I is correct because long-term land utilization data (from 1950–51 to 2019–20) shows that the area under non-agricultural uses grew faster than any other category due to rapid industrialization. Statement II is correct because this expansion operates within a fixed reporting area, meaning that building cities and factories converts surrounding agricultural fields and open wastelands into built environments. Since both statements are correct, option C is the right choice.

As an economy develops and shifts toward services, it requires built infrastructure like corporate offices, communication hubs, retail banks, highways, and residential developments. The land-use framework places all human settlements, industrial plots, and infrastructure lines under the category "land put to non-agricultural uses." Therefore, service sector expansion directly expands this category, validating option C.

Current fallow land consists of regular cropland left idle for one year or less to allow the soil to rest. Because Indian agriculture depends heavily on seasonal monsoons, the total area in this category fluctuates from year to year based on rainfall variability. A drought year will cause current fallow totals to spike, while a good monsoon year will reduce them. This annual fluctuation means that comparing just two distant points in time cannot capture the underlying trend, validating option B.

Current fallow lands consist of active fields left uncultivated for a year or less to allow the soil to rest. This category does not show a steady linear trend because it is shaped by two highly variable factors: annual weather patterns and rainfall anomalies (Statement I is correct) and changing crop rotation decisions made by farmers (Statement II is correct). Statement III is false because current fallow is an operational choice made by individual farmers rather than being fixed by government mandate. This confirms option A.

The first sentence of the provided passage states: "CPRs can be defined as community's natural resource, where every member has the right of access and usage... without anybody having property rights over them." This text confirms that the defining difference between common property and private land is that no single individual can claim exclusive ownership to restrict shared community access, validating option B.

The second sentence of the provided passage states: "...public spaces where a group larger than a household or family unit exercises rights of use and carries responsibility of management are examples of CPRs." This text confirms that management responsibility belongs to the broader community collective rather than single households or outside agencies, validating option C.

Land owned and controlled by a single individual is classified as Private Land (1 matches with Private land). Resources such as village grazing areas, forests, and lands used for collecting fuel and fodder without individual ownership are classified as Common Property Resources (2 matches with CPR). Government-owned land used for public purposes falls under Government Land, while resources collectively managed and used by communities are considered Community Resources. Therefore, the correct matching is option B.

Common Property Resources (CPRs) provide essential economic support to the weaker sections of rural society, including landless laborers, marginal farmers, and resourceful households. Because these families lack sufficient private landholdings, they depend on shared pastures and community forests to graze their livestock and gather firewood for cooking fuel, validating option B.