Journal of Rural Studies

Newspapers documenting MRCS between 1984 and 2018

The data of this data set were collected in July and August 2018 in Turkana County. It entails results from a trust game and a short household survey of 402 respondents.

This data was developed to measure the different dimensions of transparency and citizen participation in fisheries institutions of the Mexican state. The data correspond to an evaluation to the National Commission of Fisheries and Aquaculture in the years 2015 and 2017 and to the Fisheries and Aquaculture Councils in 2017.

Data_dairy_Spaciality: data used to perform factorial and cluster analysis. Results_dairy_Spaciatity: results of factorial and cluster analysis Clusters_muncipios: Maps generated from factorial and clusters analysis. Used to analyze the displacement of dairy activity

The Feed the Future Innovation Lab on Small-Scale Irrigation (FTF-ILSSI) is a cooperative agreement funded by USAID under the Feed the Future program to undertake research aimed at increasing food production, improving nutrition, accelerating economic development, and contributing to the protection of the environment. The project pursues these objectives by identifying, testing, and demonstrating technological options in small-scale irrigation and irrigated fodder, supported by a continual dialogue approach with stakeholders and capacity development toward sustained use of research approaches and evidence.

Collaborators on this project include Texas A&M University, the International Water Management Institute (IWMI), the International Food Policy Research Institute (IFPRI), the International Livestock Research Institute (ILRI), North Carolina A&T State University (NCAT), and Texas A&M AgriLife Research (TAMUS). As part of this project, IFPRI is undertaking a study of irrigating and non-irrigating households in Ethiopia, Tanzania, and Ghana to investigate the connections between irrigation, gender, nutrition, and health. The survey explores these linkages through an in-depth household questionnaire with questions on agricultural production, nutrition and health, a WEAI module, and a community questionnaire. This work is part of the CGIAR Research Program on Water, Land, and Ecosystems (WLE).

The project-level Women’s Empowerment in Agriculture Index for market inclusion (pro-WEAI+MI) is a modified version of the pro-WEAI that captures empowerment across commodity value chains (VC), VC actors, and beneficiaries of VC/training interventions. This dataset from the Philippines is the first of four country case studies that developed additional market inclusion (+MI) indicators to complement the pro-WEAI.

The Philippines case study focused on women and men working in production, processing, trading, and marketing in the abaca, coconut, seaweed, and swine VCs. Using a purposive sampling design, survey data were collected in March–August 2017 in six provinces in the Bicol and Visayas regions of the Philippines. Data on each VC was collected in two provinces, selected based on presence of production and processing activities. Abaca and coconut data were collected initially in Sorsogon and Leyte, and additional survey areas were added in Albay and Southern Leyte to reach target sample sizes. Seaweed and swine data were collected in Bohol and Cebu. This data package includes the pro-WEAI+MI questions implemented in the Philippines, basic household and demographic information, and constructed pro-WEAI and +MI indicators.

The Feed the Future Innovation Lab on Small-Scale Irrigation (FTF-ILSSI) is a cooperative agreement funded by USAID under the Feed the Future program to undertake research aimed to increase food production, improve nutrition, accelerate economic development and contribute to the protection of the environment. The project seeks these objectives through identifying, testing and demonstrating technological options in small-scale irrigation and irrigated fodder, supported by a continual dialogue approach with stakeholders and capacity development toward sustained use of research approaches and evidence.

Collaborators on this project include Texas A&M University, the International Water Management Institute (IWMI), the International Food Policy Research Institute (IFPRI), the International Livestock Research Institute (ILRI), North Carolina A&T State University (NCAT) and Texas A&M AgriLife Research (TAMUS). As part of this project, IFPRI is undertaking a study of irrigating and non-irrigating households in Ethiopia, Tanzania and Ghana to investigate the connections between irrigation, gender, nutrition and health. The survey explores these linkages through an in-depth household questionnaire with questions on agricultural production, nutrition and health, a WEAI module and a community questionnaire. This work forms part of the CGIAR Research Program on Water, Land and Ecosystems (WLE).

The project-level Women’s Empowerment in Agriculture Index for market inclusion (pro-WEAI+MI) is a modified version of the pro-WEAI that captures empowerment across commodity value chains (VC), VC actors, and beneficiaries of VC/training interventions. This dataset from Malawi is one of four country case studies that developed additional market inclusion (+MI) indicators to complement the pro-WEAI.

The Malawi case study was conducted as part of the Agricultural Technical Vocational Education and Training for Women (ATVET4W) Program, a gender-sensitive approach to technical training and market linkages in priority agricultural value chains led by the African Union Development Agency-New Partnership for Africa’s Development (AUDA-NEPAD) and Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ). To compare program beneficiaries versus non-beneficiaries, a household survey was collected from September to October 2019 in five districts where ATVET4W has (1) started some activities, (2) shown initial commitment from a community college, and (3) shown a high likelihood to continue with the program. These districts cover different regions (North, Central, South), agroecological zones, and socioeconomic profiles. This data package includes the pro-WEAI+MI questions implemented in Malawi, basic household and demographic information, and constructed pro-WEAI and +MI indicators.

The data contains good governance and poverty measures at the grassroots level, rural Indonesia. The presence of good governance captures perceptions of participation in the local election (PD), transparency (TD), accountability (AG), controlling corruption (CC), public administration (PA), public services (PS), and e-government (EG), while poverty refers to the poverty line (minimum expenditure/consumption per capita per day) and perceived well-being, such as income, housing, clothing, health care, and education.

This dataset contains survey data including the codebook for an online survey conducted in German and French in Switzerland in spring 2021. With this survey, we aimed to find out what students learn and what teachers teach in this course about digital technologies in agriculture.