Household Survey Data on Cost Benefit Analysis of Climate-Smart Soil Practices in Western Kenya
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This household survey was conducted among 88 respondents by CIAT in three counties of western Kenya (Bungoma, Kakamega, and Siaya) in 2016. The main aim of the project was to conduct a cost benefit analysis of eight climate-smart soil (CSS) practices, as a step toward understanding whether they were beneficial or not both from a private and social point of view. This knowledge could then be potentially used to enlighten farmers, policy makers and development practitioners about soil protection and rehabilitation practices that are most cost-effective when implemented on farms. Such knowledge also provides a rationale that can be used as a basis for promoting selected CSS practices. Farm practices were considered as “climate smart” if they could improve the soil-nitrogen cycle, enhance soil fertility, improve crop productivity, improve s' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Africa","Agrobiodiversity - AGBIO","Climate-smart soil practices","Cost benefit analysis","Decision and Policy Analysis - DAPA","Farm production","Kenya","Soil","Soils"]} <|eot_id|>
 Here is the Description of a dataset. Description:'This household survey was conducted among 88 respondents by CIAT in three counties of western Kenya (Bungoma, Kakamega, and Siaya) in 2016. The main aim of the project was to conduct a cost benefit analysis of eight climate-smart soil (CSS) practices, as a step toward understanding whether they were beneficial or not both from a private and social point of view. This knowledge could then be potentially used to enlighten farmers, policy makers and development practitioners about soil protection and rehabilitation practices that are most cost-effective when implemented on farms. Such knowledge also provides a rationale that can be used as a basis for promoting selected CSS practices. Farm practices were considered as “climate smart” if they could improve the soil-nitrogen cycle, enhance soil fertility, improve crop productivity, improve s' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
This household survey was conducted among 88 respondents by CIAT in three counties of western Kenya (Bungoma, Kakamega, and Siaya) in 2016. The main aim of the project was to conduct a cost benefit analysis of eight climate-smart soil (CSS) practices, as a step toward understanding whether they were beneficial or not both from a private and social point of view. This knowledge could then be potentially used to enlighten farmers, policy makers and development practitioners about soil protection and rehabilitation practices that are most cost-effective when implemented on farms. Such knowledge also provides a rationale that can be used as a basis for promoting selected CSS practices. Farm practices were considered as “climate smart” if they could improve the soil-nitrogen cycle, enhance soil fertility, improve crop productivity, improve s
Africa; Agrobiodiversity - AGBIO; Climate-smart soil practices; Cost benefit analysis; Decision and Policy Analysis - DAPA; Farm production; Kenya; Soil; Soils