• https://publications.iadb.org/en/informe-mercosur-ndeg-20-2014-2015-segundo-semestre-2014-primer-semestre-2015

Inter-American Development Bank (2016). Data associated with: Informe MERCOSUR N° 20 (2014-2015). IDB Open Data. https://doi.org/10.60966/zw5ygfi9

1. Spanish

What economic indicators are covered in this dataset?

The dataset includes trade flows, investment data, macroeconomic indicators, and policy-related measures reported across MERCOSUR countries for 2014–2015.

Which countries are included in the MERCOSUR dataset?

It covers Argentina, Brazil, Paraguay, Uruguay, and Venezuela, along with selected comparisons to extra-regional partners such as China.

How does the dataset relate to urban population density and municipal service?

While the primary focus is on macroeconomic, trade, and investment flows, the dataset can provide context for research on urban population density and municipal service delivery by linking macroeconomic conditions to local development challenges.

Can this dataset help analyze urban growth and municipal expenditure?

Yes. The report's public finance and expenditure data allow researchers to explore the relationship between urban growth and municipal expenditure, particularly in the context of MERCOSUR’s development policies.

Does the dataset provide evidence of scale economies in urban public service delivery?

Although not specifically designed for municipal-level analysis, the dataset can complement studies on evidence of scale economies in urban public service delivery by framing national fiscal trends and their influence on local government efficiency.

What period does the dataset cover?

The dataset covers the period July 2014–July 2015, as analyzed in MERCOSUR Report No. 20, with some indicators drawing on longer historical series for context.

What is the connection between this dataset and MERCOSUR’s relationship with China?

A special chapter of the report focuses on trade and investment between MERCOSUR countries and China, and the dataset includes figures supporting that analysis.

How can policymakers and researchers use this dataset?

The dataset is a valuable resource for analyzing trade patterns, fiscal conditions, and macroeconomic contexts across MERCOSUR, with broader implications for infrastructure, urban services, and development.

How is economic integration measured in the Southern Common Market?

The dataset measures integration through intra-bloc trade flows, origin regime thresholds (maximum imported input content), and Common External Tariff (CET) exceptions. For example, Uruguay’s original regime allowed up to 50% imported inputs until 2021, later reduced to 40% by 2023, showing gradual harmonization.

What are the historical data on MERCOSUR intra-regional trade share?

The report tracks intra-bloc trade intensity by country and sector. Between 2010 and 2014, Brazil’s exports to MERCOSUR partners fluctuated, with manufactured goods dominating but showing volatility due to macroeconomic shocks. Paraguay and Uruguay’s shares remained smaller but more stable.

What is the impact of macroeconomic volatility on MERCOSUR integration?

The dataset highlights GDP variation and current account balances. Argentina’s GDP growth fell from +8.9% in 2010–2011 to -0.2% in 2012, directly affecting trade stability. Volatility in Brazil’s export values to China (from $30.8B in 2010 to $40.6B in 2014) also influenced intra-bloc cohesion.

What is the MERCOSUR Common External Tariff (CET) schedule dataset?

The dataset documents CET exceptions and origin rules. Paraguay applied a 60% maximum imported input content until 2025, while Uruguay reduced its threshold to 40% by 2023. These variations illustrate how CET schedules and exceptions evolve across member states.

Why has intra-bloc trade in Mercosur fluctuated compared to the ASEAN bloc?

The dataset shows intra-bloc trade volatility driven by macroeconomic instability. For example, Argentina’s exports to China dropped from $6.2B in 2011 to $4.4B in 2014, reflecting external demand shocks. ASEAN comparison is not included, but MERCOSUR’s dependence on commodities explains higher volatility.

What are the primary institutional barriers to a full single market in Mercosur?

The dataset highlights disparities in origin regimes and CET exceptions. Different thresholds for imported input content (40–60%) and varying expiration dates (2021–2025) show institutional fragmentation that prevents a fully harmonized single market.

How do GDP growth rates and inflation correlation among Mercosur member states compare?

The dataset provides GDP variation data. Argentina’s GDP growth was +8.9% in 2010–2011 but fell to -0.2% in 2012. Brazil’s exports to China rose sharply in 2011 (+44% year-on-year) but contracted in 2012 (-7%). Inflation correlation is not directly included.

What is the Mercosur statistical bulletin No. 20 summary and key findings?

The report analyzes macroeconomic outlook and trade flows for 2014–2015. Key findings include volatility in Argentina’s GDP, Brazil’s export surge to China in 2011, followed by contraction in 2012, and CET origin regime adjustments across member states.

Why was Mercosur N°20 published, and what indicators does it measure?

The bulletin was published to provide policymakers with updated macroeconomic and trade indicators. It measures GDP variation, current account balances, intra-bloc trade flows, CET origin regimes, and bilateral trade with China.

What is Mercosur N°20 metadata and methodology (variables, units, collection dates)?

The dataset includes variables such as GDP variation (%), export/import values (USD millions), and origin regime thresholds (% of imported inputs). Data sources include BID-INTAL and UNCOMTRADE, covering 2010–2014 with country-level disaggregation.

How to interpret column names and codes in Mercosur N°20 (HS codes, country codes)?

Columns include indicators (e.g., “Exportaciones (mill. de U$S)”), sub-indicators (e.g., “Var i.a, %”), country names, year, and value fields. HS codes are referenced in CET exception tables, while country codes align with the standard ISO naming conventions.

What are the discrepancies and reconciliation of Mercosur N°20 trade data vs UN Comtrade for the same period?

The dataset notes that Venezuela’s trade data with China comes from UNCOMTRADE, while Argentina and Brazil’s data are BID-INTAL-based. Differences arise from reporting standards, but reconciliation is possible by aligning units and collection dates.