Process-Control Systems Impact Assessment in Tanzanian Agriculture: A Difference-in-Differences Approach

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Hauptverfasser: Msangi, Kamija, Muhindo, Mwiraria
Format: Recurso digital
Sprache:Englisch
Veröffentlicht: Zenodo 2005
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author Msangi, Kamija
Muhindo, Mwiraria
author_facet Msangi, Kamija
Muhindo, Mwiraria
contents <p>Agriculture in Tanzania faces challenges such as low productivity and climate variability. Process-control systems (PCS), when implemented correctly, can enhance efficiency and yield, although their impact varies across different settings. A DID approach was employed to assess the impact of PCS implementation. The study compared treated and untreated farms over time, accounting for potential confounders such as climate variability and farmer practices. The analysis indicated that PCS led to an average yield increase of around 15% in treated farms relative to untreated ones, with significant variation observed across different regions and crop types. While the results suggest substantial potential for yield improvement through PCS implementation, further research is needed to understand regional-specific adaptations and scalability. Future studies should explore how to tailor PCS design to local conditions and assess their long-term sustainability in Tanzanian agricultural settings. Agriculture, Tanzania, Process-Control Systems, Difference-in-Differences, Yield Improvement The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.</p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_18814426
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language eng
publishDate 2005
publisher Zenodo
record_format zenodo
spellingShingle Process-Control Systems Impact Assessment in Tanzanian Agriculture: A Difference-in-Differences Approach
Msangi, Kamija
Muhindo, Mwiraria
Tanzania
African agriculture
econometrics
yield gap analysis
process-control systems
randomized controlled trials
intervention evaluation
<p>Agriculture in Tanzania faces challenges such as low productivity and climate variability. Process-control systems (PCS), when implemented correctly, can enhance efficiency and yield, although their impact varies across different settings. A DID approach was employed to assess the impact of PCS implementation. The study compared treated and untreated farms over time, accounting for potential confounders such as climate variability and farmer practices. The analysis indicated that PCS led to an average yield increase of around 15% in treated farms relative to untreated ones, with significant variation observed across different regions and crop types. While the results suggest substantial potential for yield improvement through PCS implementation, further research is needed to understand regional-specific adaptations and scalability. Future studies should explore how to tailor PCS design to local conditions and assess their long-term sustainability in Tanzanian agricultural settings. Agriculture, Tanzania, Process-Control Systems, Difference-in-Differences, Yield Improvement The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.</p>
title Process-Control Systems Impact Assessment in Tanzanian Agriculture: A Difference-in-Differences Approach
topic Tanzania
African agriculture
econometrics
yield gap analysis
process-control systems
randomized controlled trials
intervention evaluation
url https://doi.org/10.5281/zenodo.18814426