Practice 4.7 Sustainable Development with authentic IB Economics exam questions for both SL and HL students. This question bank mirrors Paper 1, 2, 3 structure, covering key topics like microeconomics, macroeconomics, and international trade. Get instant solutions, detailed explanations, and build exam confidence with questions in the style of IB examiners.
Nepal is a landlocked country in South Asia with an estimated population of 29 million. Agriculture remains central to the economy, accounting for about 27% of gross domestic product (GDP) and employing a sizeable proportion of the workforce. However, the country also relies heavily on tourism and remittances from migrant workers abroad, which make up more than 25% of Nepal’s total GDP. Nepal has been seeking to diversify its economy through foreign direct investment (FDI) in energy, infrastructure, and services.
In 2020, Nepal’s GDP stood at US$29.3 billion. By 2021, it had increased to US$30.5 billion, partly due to post-pandemic economic recovery and continued growth in the tourism sector. Official unemployment figures in Nepal are relatively low, but underemployment remains a major issue, especially in rural areas. The country’s Gini coefficient is estimated at 0.32, indicating moderate income inequality, though rural–urban disparities still persist. Nepal’s tax system includes both direct and indirect taxes; the highest marginal rate for personal income tax is approximately 30%.
The tourism sector is vital. Trekking permits, especially for the Annapurna, Everest, and Langtang regions, represent a key source of government revenue. Due to recent changes in permit fees and fluctuations in tourism numbers, local businesses have experienced varying levels of income from trekking-related services.
Table 1: Labour market data in Nepal (2021)
| Population (millions) | Labour force (millions) | Employed (millions) | Unemployed (millions) |
|---|---|---|---|
| 29 | 16.0 | 15.6 | 0.4 |
Table 2: Trekking permit data for Nepal
| Year | Average permit price (USD) | Number of permits sold |
|---|---|---|
| 2021 | 50 | 150 000 |
| 2022 | 60 | 120 000 |
Using the information in Table 1, calculate the official unemployment rate in Nepal for 2021.
Using the data provided in the text, calculate Nepal’s real GDP growth rate from 2020 to 2021. Show your working.
Using information from Table 2, calculate the price elasticity of demand for trekking permits in Nepal when the average permit price increases from US$50 to US$60.
Using information from Table 2, calculate the change in total revenue from trekking permit sales between 2021 and 2022.
Define the term “Keynesian multiplier.”
Using an AD/AS diagram, explain how an increase in foreign direct investment might affect real output in Nepal in the short run.
Using information from Table 1, calculate the labour force participation rate in Nepal for 2021.
Using information from the text, explain how income inequality could act as a constraint on Nepal’s economic growth.
Using the text/data provided and your knowledge of economics, recommend a policy which could be implemented by the government of Nepal in order to promote sustainable economic growth.
Over the past decade, Iceland’s economy has experienced both rapid growth and sudden declines. Tourism surged from fewer than 1 million visitors in 2012 to over 2 million visitors in 2019. However, fishing remains one of Iceland’s most significant export sectors, accounting for around 20% of national exports. The COVID-19 pandemic and associated travel restrictions led to a sharp decrease in tourism revenues and posed challenges for Iceland’s open economy.
Although Iceland has one of the lowest levels of income inequality among OECD countries, its policymakers remain vigilant about potential inequalities. Corporate and personal income taxes help fund a comprehensive social welfare system. Indirect taxes, such as a value-added tax (VAT) of 24%, also contribute significantly to government revenue. Recent exchange rate fluctuations have influenced the competitiveness of Icelandic fish products abroad.
Table 1: Real GDP in Iceland
| Year | Nominal GDP (ISK billions) | GDP Deflator (Base year 2017=100) |
|---|---|---|
| 2017 | 2,600 | 100 |
| 2018 | 2,730 | 102 |
| 2019 | 2,800 | 105 |
| 2020 | 2,650 | 106 |
Table 2: Hypothetical Demand for Icelandic Cod Exports
| Price per kg (ISK) | Quantity Demanded (tonnes per month) |
|---|---|
| 800 | 15,000 |
| 840 | 14,200 |
Table 3: Income Distribution in Iceland (2020)
| Quintile | Share of National Income (%) |
|---|---|
| Lowest 20% | 10 |
| Second 20% | 14 |
| Third 20% | 19 |
| Fourth 20% | 24 |
| Highest 20% | 33 |
Figure 1 (not to scale) illustrates the growth in tourist arrivals in Iceland from 2017 to 2020:
• 2017: 2.2 million visitors
• 2018: 2.3 million visitors
• 2019: 2.0 million visitors
• 2020: 0.5 million visitors
Additionally, Iceland’s current corporate income tax rate is 20%. Personal income taxes range from 20% to 31%, depending on income brackets. VAT on goods such as tourism-related services is 11%, while it is 24% for most other goods. Policymakers in Iceland are debating how to sustain economic growth in the post-pandemic period by encouraging both a more diversified export sector and a stronger tourism industry.
Using the information provided in Table 1, calculate the real GDP for Iceland in 2020 (in ISK billions).
Suppose that an increase in government spending of ISK 30 billion led to an overall increase in real GDP of ISK 60 billion. Using the concept of the Keynesian multiplier, calculate the multiplier for Iceland.
Using the information from Table 2, calculate the price elasticity of demand (PED) when the price of cod increases from ISK 800 per kg to ISK 840 per kg.
If indirect tax revenue from VAT on various goods rises by ISK 8 billion as a result of higher consumption, calculate the total additional amount spent on these goods by consumers (assuming a uniform 24% VAT on those goods).
Define the term “income inequality.”
Using an AD/AS diagram, explain how a significant decline in tourist arrivals (as shown in Figure 1) might affect Iceland’s real output and price level in the short run.
Using the income distribution data from Table 3, calculate the cumulative income share held by the bottom 60% of Icelandic households.
Using the information in the text and Table 3, explain two ways in which Iceland’s relatively low income inequality might support further economic development.
Using the text/data provided and knowledge of economics, recommend a policy that could be implemented by the Icelandic government in order to sustain economic growth while maintaining low inequality.
Nepal is a landlocked country in South Asia with a population of approximately 29.3 million people. Agriculture remains crucial, contributing about 27% of gross domestic product (GDP). Tourism and remittance inflows (estimated at around 24% of GDP) are also major components of Nepal’s economy. Nepal’s main trading partner is India, accounting for the largest share of both exports and imports. Nepal’s government applies a 13% Value Added Tax (VAT) on many goods and services, including coffee sales in the domestic market.
Table 1: Key Macroeconomic Indicators for Nepal (2019–2021)
| Year | Real GDP (billion NPR) | Real GDP growth (%) |
|---|---|---|
| 2019 | 4000 | 7.0 |
| 2020 | 4160 | 4.0 |
| 2021 | 4290 | 3.5 |
Table 2: Labour Market Data for Nepal (2021)
| Indicator | Value |
|---|---|
| Population | 29,300,000 |
| Employed | 10,400,000 |
| Unemployed | 1,100,000 |
Table 3: Income Distribution (Nepal and Selected Countries)
| Country | Gini Coefficient | Proportion of Population below National Poverty Line (%) |
|---|---|---|
| Nepal | 0.33 | 18.7 |
| India | 0.35 | 21.9 |
| Bhutan | 0.38 | 8.2 |
Figure 1: Market for Nepali Coffee
Using the information from Table 1, calculate the average annual real GDP growth rate for Nepal over the period 2019–2021.
Using the data in Figure 1, and applying the midpoint method, calculate the price elasticity of demand for Nepali coffee when its price rises from 400 NPR/kg to 440 NPR/kg.
Using the information provided in Table 2, calculate the unemployment rate in Nepal for 2021.
From the information on VAT in the text above, calculate the total amount of VAT revenue the government collected from domestic coffee sales in 2022.
Define the term “Keynesian multiplier.”
Using an AD/AS diagram, explain how a decrease in personal income tax could affect real GDP in Nepal.
A coffee shop in Nepal sells coffee worth 1,232,000 NPR in 2022. Given the 13% VAT mentioned in the case study, calculate the amount of VAT revenue included in this total.
Using information from Table 3, explain how income inequality could act as a barrier to economic development in Nepal.
Using the text/data provided and knowledge of economics, recommend one policy the government of Nepal could implement to reduce dependence on remittances and stimulate sustainable economic growth. Justify the recommendation.
Vietnam is one of the fastest-growing economies in Southeast Asia. Over the past two decades, it has transformed from a primarily agrarian society to a bustling hub for manufacturing and high-tech industries. Despite this rapid growth, Vietnam’s economy still depends heavily on primary commodities such as coffee and rice for foreign exchange earnings. Global coffee prices, fluctuations in supply, and shifts in consumer preferences affect Vietnam’s farmers and exporters significantly.
At the same time, Vietnam has made considerable progress in reducing poverty. Yet income inequality has been gradually rising, posing new challenges for policymakers. The government is also reviewing its tax policies and infrastructure expenditure. Part of the government’s long-term strategy includes upgrading road networks to facilitate trade and encouraging domestic firms to move into higher value-added segments.
Below are several tables presenting data on Vietnam’s coffee market, its macroeconomic performance, and its tax system.
Table 1: Vietnam’s Coffee Market
| Price (VND/kg) | Quantity Demanded (thousand tonnes/year) | Quantity Supplied (thousand tonnes/year) |
|---|---|---|
| 30,000 | 1,500 | 1,200 |
| 33,000 | 1,450 | 1,250 |
Table 2: Macroeconomic Indicators for Vietnam (2019–2022)
| Year | Real GDP (billions of US$, 2015 prices) | Population (millions) | Gini Coefficient |
|---|---|---|---|
| 2019 | 245 | 96 | 0.36 |
| 2020 | 252 | 97 | 0.37 |
| 2021 | 261 | 98 | 0.37 |
| 2022 | 275 | 99 | 0.38 |
Table 3: Vietnam’s Current Tax Rates
| Type of Tax | Rate |
|---|---|
| Corporate Income Tax | 20% |
| Personal Income Tax | Progressive up to 35% |
| Value-Added Tax (VAT) | Standard rate: 10% |
| (some goods at 5% or 0%) |
Recently, a domestic firm in Ho Chi Minh City purchased manufacturing equipment for 220,000 VND (the price paid, inclusive of VAT, at the standard 10% rate). Vietnam’s government has also announced major highway construction projects in the central and southern regions to improve the flow of goods and workers.
Meanwhile, economists note that an increase in the concentration of coffee exports in Vietnam’s revenue mix may expose the economy to volatility in global commodity prices. Measures to move into higher-value agricultural products, processing and branding, and improved farmer education are considered as long-term strategies to reduce reliance on primary commodities.
Using the information from Table 1, calculate the price elasticity of demand (PED) for coffee in Vietnam when the price increases from VND 30,000 per kg to VND 33,000 per kg. Show your working.
Using the data from the text and Table 3, calculate how much VAT (at the standard 10% rate) is contained in the purchase price of 220,000 VND for the manufacturing equipment. Show your working.
Using the data from Table 2, calculate Vietnam’s real GDP growth rate from 2021 to 2022. Show your working.
From Table 2, calculate the approximate real GDP per capita in 2022. Assume the population for 2022 is 99 million. Show your working.
Define the term “progressive tax.”
Explain why dependence on primary commodity exports (such as coffee) may pose challenges for a rapidly developing economy like Vietnam.
Using information from Table 2, calculate the percentage change in Vietnam's Gini coefficient between 2019 and 2022. Show your working.
With reference to the data in Table 2, explain how rising income inequality (as indicated by changes in the Gini coefficient) might affect Vietnam’s long-term economic growth.
Using the text/data provided and your knowledge of economics, recommend one policy that the government of Vietnam could implement to reduce its reliance on primary commodity exports (like coffee) while promoting sustainable economic development.
Indonesia’s Path to Economic Reform
Indonesia is undergoing a period of economic transformation, with ambitious reforms aimed at fostering long-term growth. The government has prioritized infrastructure expansion, streamlining regulations, and reducing corruption to attract investment. Additionally, tax incentives are being introduced to boost emerging industries such as transportation, telecommunications, metal production, and agricultural processing.
To fund infrastructure projects, which are projected to cost USD 22 billion, the government has reduced fuel subsidies, despite their role in making energy affordable for low-income households. While this move is expected to free up government funds, it has contributed to inflation, which has surged to 7.26%, exceeding the central bank’s target of 3–5%.
Indonesia’s economy also faces external challenges. Falling global prices of coal, gold, and palm oil, its major exports, have put downward pressure on export revenue. Meanwhile, economic growth has slowed, leading to declining consumer confidence. The Gini coefficient, which measures income inequality, has risen in recent years, reflecting concerns about income distribution.
To strengthen its economic foundation, the government is focusing on education and vocational training, aiming to reduce unemployment by upskilling its youthful workforce. Moreover, efforts to support small businesses include expanding access to micro-credit and making loans more accessible to entrepreneurs.
In response to economic pressures, Indonesia has also introduced trade protection measures, including tariffs and import restrictions, to shield domestic industries and encourage local production. However, critics argue that such policies may reduce efficiency and competitiveness in the long run.
Figure 1: Indonesian Development Statistics
| Year | Relative Poverty (% of population) | Absolute Poverty (millions) | Gini Coefficient | Human Development Index (HDI) |
|---|---|---|---|---|
| 2007 | 16.6 | 37 | 0.35 | -* |
| 2008 | 15.4 | 35 | 0.35 | 0.654 |
| 2009 | 14.2 | 33 | 0.37 | -* |
| 2010 | 13.3 | 31 | 0.38 | 0.671 |
| 2011 | 12.5 | 30 | 0.40 | 0.678 |
| 2012 | 11.7 | 29 | 0.41 | 0.681 |
| 2013 | 11.5 | 29 | 0.41 | 0.684 |
| 2014 | 11.0 | 28 | -* | -* |
Figure 2: Indonesia’s Economic Growth and Trade Statistics
| Year | GDP Growth (%) | Export Revenue (USD billion) | Trade Balance (USD billion) |
|---|---|---|---|
| 2010 | 6.2 | 210 | 18.5 |
| 2011 | 6.5 | 230 | 15.2 |
| 2012 | 6.0 | 215 | 9.8 |
| 2013 | 5.8 | 200 | 3.4 |
| 2014 | 5.1 | 185 | -1.2 |
Define the term "inflation".
List two factors that may contribute to income inequality in an economy.
Using information from Figure 1, calculate the percentage decrease in absolute poverty between 2007 and 2014.
Draw a Lorenz curve diagram to illustrate the concept of income inequality in Indonesia.
Using a tariff diagram, explain how trade protection measures can support domestic industries.
Using an AD-AS diagram, explain how reducing fuel subsidies may affect Indonesia’s inflation rate.
Using a PPC diagram, explain how investment in education and vocational training can contribute to Indonesia’s long-term economic growth.
Using information from the text and your knowledge of economics, evaluate the Indonesia's current measures' effectiveness in achieving economic growth and development.
Austria is a landlocked country in Central Europe with a population of approximately 9 million. It has a high-income economy, diversified across manufacturing, services, and a thriving tourism sector. During 2022, tourism alone contributed about 15% of Austria’s gross domestic product (GDP), fueled by both winter sports and year-round cultural tourism.
Austria’s real GDP growth rate moderately improved between 2019 and 2022, assisted by strong consumer demand, increasing trade with neighboring economies (most notably Germany), and an expansionary fiscal stance. Government spending on infrastructure has grown, although policy makers closely watch any inflationary pressures that could arise from such fiscal expansion.
Despite relatively low inequality levels compared to many other developed nations, Austria’s Gini coefficient has inched upward from 0.26 a decade ago to around 0.28 in 2022. Debates on whether to reform personal income tax rates or strengthen social welfare programs have gained attention.
In terms of taxation, Austria uses a progressive personal income tax system with a top marginal rate of 55%. Corporate income taxes for resident firms currently stand at 25%, although there have been proposals to reduce this rate to 22%. To stimulate the economy further, the government allocated €5 billion in 2022 toward infrastructure projects, anticipating that the Keynesian multiplier would raise overall economic activity significantly.
Table 1 below shows simplified data on the Austrian ski package market, while Tables 2–4 provide additional macroeconomic and distribution information that will be referred to in the questions.
Table 1: The Market for Austrian Ski Packages (2021–2022)
| Year | Average Price per Package (EUR) | Quantity Demanded (millions) | Quantity Supplied (millions) |
|---|---|---|---|
| 2021 | 900 | 4.0 | 3.8 |
| 2022 | 960 | 3.6 | 4.0 |
Table 2: Nominal GDP and Price Index in Austria (2019–2022)
| Year | Nominal GDP (billion EUR) | Price Index (2015=100) |
|---|---|---|
| 2019 | 390 | 104 |
| 2020 | 382 | 105 |
| 2021 | 400 | 106 |
| 2022 | 425 | 108 |
Table 3: Selected Economic Indicators (2022)
| Government Infrastructure Spending (billion EUR) | Marginal Propensity to Consume (MPC) | Proposed Corporate Tax Rate (%) | Current Personal Income Tax Rate (progressive, top rate) |
|---|---|---|---|
| 5 | 0.75 | 25 | 55% |
Table 4: Income Distribution Data in Austria (2022)
| Income Group | Average Annual Income (EUR) | Population Share (%) |
|---|---|---|
| Highest quintile (Q5) | 65,000 | 20 |
| Fourth quintile (Q4) | 50,000 | 20 |
| Third quintile (Q3) | 35,000 | 20 |
| Second quintile (Q2) | 25,000 | 20 |
| Lowest quintile (Q1) | 15,000 | 20 |
Using information from Table 1, calculate the price elasticity of demand (PED) for Austrian ski packages between 2021 and 2022.
Using the information in Table 3, calculate the total potential change in GDP if the government spends €5 billion on infrastructure and there is no crowding out.
Using data from Table 2, calculate Austria’s real GDP in 2022.
Using data from Table 1, calculate the price elasticity of supply (PES) for ski packages between 2021 and 2022.
Define the term “Keynesian multiplier.”
Explain why an economy that relies heavily on tourism might encounter risks to its macroeconomic stability.
Using information from Table 4, calculate the ratio of average annual income between the highest quintile (Q5) and lowest quintile (Q1). Show your working.
Using information from Table 4 (and the text above), explain how Austria’s relatively low Gini coefficient might influence its long-term economic growth and social outcomes.
Using the text/data provided and knowledge of economics, recommend one policy that the Austrian government could implement to diversify its economy beyond tourism while ensuring sustainable, long-term economic growth.
Country Q, a developing economy, has been experiencing significant economic challenges over the past decade. With a GDP per capita of $4,000 and a relatively low Human Development Index (HDI), the government has been focusing on policies to improve living standards, increase economic growth, and boost international trade.
Table 1: Key Economic Indicators (2022)
| Indicator | Value |
|---|---|
| GDP per capita (US$) | 4,000 |
| Life expectancy (years) | 65 |
| Literacy rate (%) | 78 |
| Access to clean water (%) | 60 |
| Unemployment rate (%) | 12 |
| Inflation rate (%) | 6.5 |
| Government expenditure (US$ billion) | 50 |
Table 2: Demand and Supply Data for Wheat Market in Country Q
| Price per Ton (US$) | Quantity Demanded (tons) | Quantity Supplied (tons) |
|---|---|---|
| 200 | 5,000 | 2,000 |
| 250 | 4,000 | 3,000 |
| 300 | 3,500 | 3,500 |
| 350 | 3,000 | 4,000 |
| 400 | 2,500 | 4,500 |
Table 3: Income Distribution and Tax Revenue
| Income Group | Percentage of Population (%) | Average Income (US$) | Tax Revenue Contribution (%) |
|---|---|---|---|
| Low-income | 40 | 2,000 | 10 |
| Middle-income | 50 | 6,000 | 50 |
| High-income | 10 | 20,000 | 40 |
Figure 1: Government Expenditure Breakdown (US$ Billion)
Education: 10
Healthcare: 15
Infrastructure: 12
Welfare: 8
Other: 5
Using information from Table 2, calculate the price elasticity of demand (PED) when the price of wheat increases from 350.
Explain why increasing access to clean water could positively impact economic development in Country Q.
Using data from Table 3, calculate the Gini coefficient given that the Lorenz curve has an area of 0.35.
Using the data from Table 1, calculate the real GDP growth rate if the previous year’s GDP per capita was $3,800.
Define the term progressive taxation.
Using the data in Table 3, calculate the total tax revenue collected from all income groups.
Draw a demand and supply diagram to illustrate the effect of a government subsidy on the wheat market in Country Q.
Using the data provided in Figure 1, explain how the allocation of government expenditure could influence long-term economic growth in Country Q.
Using the text/data provided and your knowledge of economics, recommend a policy that the government of Country Q could implement to reduce income inequality while maintaining economic growth.
Inequality in China
As China’s economy first began to use market-oriented policies in the 1970s, it was famously suggested that some citizens, particularly through hard work, “should be allowed to get rich before others”. The government still plays a dominant role in the allocation of resources and benefits, keeping most of the gains for itself and its employees. Civil servants, who are assigned government housing, have benefited more and accumulated more wealth than the private sector employees.
Income inequality is a politically sensitive issue in China and the government has not reported on it for 26 years. In 1988, the Gini coefficient was 0.38 and the next set of figures released in 2014 give a value of 0.47.
According to research by the China Reform Foundation (CRF), “hidden income” amounts to more than US$1.4 trillion, or the equivalent of Australia’s annual gross domestic product (GDP). “Hidden incomes” refer to money gained from bribery or other corrupt behaviour, for example, bribes for officials or corrupt payments for doctors.
Low-income households are stuck with an outdated tax system that fails to address the inequality issue. They carry the burden of tax payments while the rich and powerful operate largely outside the tax system. Low-income households also have difficulty accessing credit.
Although the Chinese government expenditure is high, there tends to be inadequate spending on social protection programmes relating to health and old age. The lack of social protection has resulted in a high marginal propensity to save (MPS) amongst the low-income households as they put money away to provide for future health, education and retirement needs. The high savings result in a low marginal propensity to consume at 37 % of household income (compared to an average of more than 50 % of household income in more developed-market economies). The low marginal propensity to consume and the associated high savings rate have received significant attention in domestic and international policy circles and are viewed as a key barrier to China’s continuing road to development.
Table 1: Gini Coefficient and Marginal Propensity to Consume (MPC) for Low-Income Households in China (1988-2014)
Table 2: Income, Tax Payments, and Marginal Propensity to Save (MPS) for Low and High-Income Groups in China
Define the term Market-oriented policies.
List two factors contributing to income inequality in China.
Using information from Table 1, calculate the percentage increase in the Gini coefficient between 1988 and 2014.
Draw a diagram to show the relationship between income inequality and the Gini coefficient.
Using a market failure diagram, explain how public sector inefficiencies and corruption contribute to the under-provision of merit goods like healthcare and pensions.
Using a fiscal policy diagram, explain how government expenditure in China impacts inequality and economic growth.
Using a consumption and savings behavior diagram, explain the impact of a high marginal propensity to save (MPS) among low-income households on domestic demand.
Using Table 1, explain the difference in marginal propensity to consume (MPC) between China and developed-market economies.
Using information from the case study and your knowledge of income distribution and taxation, evaluate the impact of China's taxation system on income inequality and the efficiency of the economy.
Explain the multidimensional nature of economic development.
Using real-world examples, discuss the challenges and trade-offs that developing countries might face when pursuing sustainable development and economic growth.
Explain the relationship between sustainability and poverty.
Using real-world examples, evaluate the view that interventionist policies might be ineffective in promoting economic development.