Methodological Assessment of Regional Monitoring Networks in Kenya: Estimating Yield Improvements Using Panel Data Techniques
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| Format: | Recurso digital |
| Sprache: | Englisch |
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2009
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| _version_ | 1866901105680580608 |
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| author | Agano, Oluoch Muthuri, Mwangi Kinyanjui, Karugu |
| author_facet | Agano, Oluoch Muthuri, Mwangi Kinyanjui, Karugu |
| contents | <p>Regional monitoring networks in Kenya are pivotal for assessing yield improvements in agricultural practices. Panel data analysis will be employed to assess the impact of these networks on agricultural productivity across different regions. A preliminary analysis suggests a significant positive correlation between network coverage and reported yield improvement trends, with an estimated coefficient of 0.75 (95% CI: 0.62-0.88). The assessment highlights the effectiveness of regional monitoring networks in enhancing agricultural yield, particularly in regions with higher network density. Enhanced data collection and analysis should be prioritised to ensure more accurate and comprehensive yield improvement estimates. Agricultural yield improvement, panel data, regional monitoring networks, Kenya The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18889842 |
| institution | Zenodo |
| language | eng |
| publishDate | 2009 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Methodological Assessment of Regional Monitoring Networks in Kenya: Estimating Yield Improvements Using Panel Data Techniques Agano, Oluoch Muthuri, Mwangi Kinyanjui, Karugu African agroecology panel data analysis spatial econometrics stochastic frontier analysis agricultural extension effectiveness regional monitoring systems yield decomposition methods <p>Regional monitoring networks in Kenya are pivotal for assessing yield improvements in agricultural practices. Panel data analysis will be employed to assess the impact of these networks on agricultural productivity across different regions. A preliminary analysis suggests a significant positive correlation between network coverage and reported yield improvement trends, with an estimated coefficient of 0.75 (95% CI: 0.62-0.88). The assessment highlights the effectiveness of regional monitoring networks in enhancing agricultural yield, particularly in regions with higher network density. Enhanced data collection and analysis should be prioritised to ensure more accurate and comprehensive yield improvement estimates. Agricultural yield improvement, panel data, regional monitoring networks, Kenya The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.</p> |
| title | Methodological Assessment of Regional Monitoring Networks in Kenya: Estimating Yield Improvements Using Panel Data Techniques |
| topic | African agroecology panel data analysis spatial econometrics stochastic frontier analysis agricultural extension effectiveness regional monitoring systems yield decomposition methods |
| url | https://doi.org/10.5281/zenodo.18889842 |