Technical efficiency analysis of coffee production

In the international economy, coffee is one of the most important cash crops. But, because of socioeconomic and technical restrictions, it is defined by poor productivity. Modern technology integration with more efficiency is becoming increasingly vital in resolving this challenge. To fill the gap, this study was conducted to measure the level of technical inefficiency and identify its determinants. We develop one dependent variable and two independent variables. The technical efficiency of coffee production in the study area was measured by considering the output obtained per household head as the dependent variable, as well as two independent variable sets. Those are:
1. The set of variables to measure the elasticity of coffee production in the study area.
2. The set of variables identifies factors that may contribute to the technical inefficiency of coffee producers in the study area. Cross-sectional data were acquired from 285 randomly chosen households as part of the study's basic..., The study used both primary and secondary data as well as quantitative and qualitative data. The primary data was collected using a structured questionnaire. For this study, a structured questionnaire was designed and pre-tested. The feedback from the pretest was used to refine and modify the questionnaire. The process of primary data collection was held by the enumerator, the district’s development agents, and the researcher. The enumerators were trained on data collection procedures. In the study, cross-sectional household data from the 2021 main harvest cropping season were used. Data for input (such as land, human labor, fertilizer, coffee plants, and herbicides) was used, and the output of coffee production was collected from the specified period of time. Data on input use and outputs were collected in local units and converted into standard units. In addition, primary data was collected by interviewing the selected coffee producers’ farmers and variables that cause variation in pr..., , # Technical efficiency analysis of coffee production

Dataset DOI: [10.5061/dryad.5mkkwh7fp](10.5061/dryad.5mkkwh7fp)

## Description of the data and file structure

*Principal Investigator Contact Information*

Name: Alemu Olika

Institution: Wollega University ^ Development Bank of Ethiopia

email: [[e-mail]](mailto:[e-mail]) / [[e-mail]](mailto:[e-mail])

*Alternate Contact Information*

Name: Gemechu Mulatu

Institution: Wollega University

email: [[e-mail]](mailto:[e-mail])

**Dataset Overview**

These data were collected from the coffee producers’ farmers in the study area. A few kebeles were chosen for the research. Before data collection, the following considerations were done:

• The purpose & the importance of the study were explained for the participants of the study. Then, the respondents were orally informed that they have the right to participate or not in the filling the ..., To the greatest extent feasible, this data has undergone thorough de-identification. Names, addresses, email addresses, and other direct identifiers have all been permanently deleted, along with all other personally identifiable information (PII). Furthermore, even with the use of easily accessible information, the data has been processed to remove any chance of reasonably determining an individual's identity.
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