Chaabo & Altaylıgil (2026) provide annual time-series data for seven variables related to agricultural greenhouse gas emissions in Türkiye from 1990 to 2022. The dataset includes agricultural GHG emissions, livestock production, a composite input-price index, producer support, mechanization, precipitation, and temperature. All series are harmonized and log-transformed for use in an Autoregressive Distributed Lag (ARDL) bounds-testing framework.
Use Cases
- Modeling the relationship between input prices and agricultural emissions based on the composite feed-fertilizer-energy price index.
- Assessing the impact of policy measures like the OECD Producer Support Estimate on emission trends.
- Analyzing the effect of climate variables on agricultural emissions using annual precipitation and temperature data.
- Investigating the role of agricultural mechanization, measured as tractors per 1,000 hectares, on production-side emissions.
Strengths
- Covers a 33-year time series from 1990 to 2022.
- Includes seven harmonized variables, with construction details provided for the composite input-price index.
- Provides four alternative weighting schemes for the price index for robustness checks.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
Provenance
- Source
- Harvard Dataverse, authored by Nasser Chaabo.
- Collection Method
- Data compiled from sources including FAO/IPCC AR5 and World Bank WDI, with a constructed composite input-price index.
- Time Range
- 1990–2022
- Freshness
- Last updated 2026-05-15 22:06:17; freshness should be verified.
- Geography
- Türkiye