Read **Figure 1** and **Figure 2** before answering Question 16. **Figure 1: Changes in China’s GDP per capita (constant 2015 US$)** **Figure 2: Percentage of population in rural areas, China (1990–2021)**
- (a)With reference to the data in **Figure 1**, describe the trend in China’s GDP per capita between 2000 and 2021.[3]
- (b)With reference to the data in **Figure 2**, describe the trend in the percentage of China’s population in rural areas between 1990 and 2021.[3]
- (c)Examine the possible relationship between the trends in **Figure 1** and **Figure 2**.[6]
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Mark scheme
Marking points from the official mark scheme. The mark or mark type is shown in brackets.
- **(a)** Application 3
- 3 marks for a detailed description that identifies the trend and specific data points:
- - Clear upward trend / general increase (1)
- - From approximately $900 in 2000 to approximately $12,700 in 2021 (1)
- - Calculation of increase, e.g. increase of $11,800 or 1410% (1)
- Or 1 mark for identifying the trend + 1 mark for each data reference (max 2)
- **(b)** Application 3
- 3 marks for a detailed description that identifies the trend and specific data points:
- - Clear downward trend / general decrease (1)
- - From approximately 74% in 1990 to approximately 36% in 2021 (1)
- - Calculation of decrease, e.g. decrease of 38% (1)
- Or 1 mark for identifying the trend + 1 mark for each data reference (max 2)
- **(c)** Knowledge 2, Application 2, Analysis 2
- Knowledge: 2 marks for identification of two relevant relationships or one detailed relationship, e.g. rural-urban migration/urbanisation driven by industrialisation (1), which leads to higher incomes (1)
- Application: 2 marks for applying relevant concepts to the data, e.g. as GDP per capita increased, people moved from rural areas to urban areas (1), seeking better employment opportunities in manufacturing/services (1)
- Analysis: 2 marks for explaining how these trends are linked, e.g. this structural change led to increased productivity and economic growth (1), which further stimulated rural-urban migration (1)
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