Intra-household decision-making among smallholder agroforestry farmers in the eastern highlands of Uganda

Kalanzi, Fred; Isubikalu, P.; Kyazze, Florence Birungi; Orikiriza, Lawrence J. B.; Kiyingi, Isaac; Assefa, Habtemariam

doi:10.33687/ijae.008.02.3251

Cited by 4 publications

(10 citation statements)

References 30 publications

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“…More detailed information on farmers' social conditions is shown in Table 1. Agroforestry farmers around Tahura WAR are dominated by men, which is similar to conditions in other places in Lampung, elsewhere in Indonesia, and several other countries (Desalgne et al 2022;Fauziyah 2018;Gebrehiwot et al 2018;Kalanzi et al 2020;Manginsela et al 2021;Susanti et al 2021). The age of agroforestry farmers around Tahura WAR is also dominated by the older farmers, with a few young farmers (≤ 30 years), that was similar to several areas in Indonesia and other countries (Burano and Siska 2019;Dewi et al 2021;Pujiono et al 2021;Rozaki et al 2021;Sauvadet et al 2020).…”

Section: Farmers' Social Conditionssupporting

confidence: 75%

Clusterization of Agroforestry Farmers using K-Means Cluster Algorithm and Elbow Method

Santoso¹,

Darmawan²,

Sari³

et al. 2023

J. Sylva Lestari

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Proper policy is crucial to support the development of forest areas. Therefore, good planning based on supporting data is crucial. All information considering farmers’ conditions and interests in Talang Mulya Village, situated around Wan Abdul Rachman Forest Park, is urgently needed. So far, policies and programs launched have only been general and inappropriate to implement for the whole farmers. The main objective of this research was to perform fast agroforestry farmers clustering with differences in the main characters to each other using the K-means clustering algorithm and Elbow method based on 10 variables of social and land cultivation conditions. Results showed that agroforestry farmers in Talang Mulya Village could be best divided into 4 clusters with the proportion of 30%, 40%, 23.3%, and 6,67% for clusters 1, 2, 3, and 4, respectively. Agroforestry farmers were dominated by farmers with the specific characteristics of the lowest number of families working on the land and the cultivated main plant species with a sufficient level of formal education, family dependents, farming experience, household members that help in the farm, size of land area, expenditure and income from land cultivation, and maintenance activities. The research results could be used as a consideration for determining specific and targeted activity programs to increase the cultivation capabilities and welfare of farmers in Talang Mulya Village. Keywords: Agroforestry, Elbow Method, K-means Clustering, Tahura Wan Abdul Rachman, Talang Mulya Village

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Section: Farmers' Social Conditionssupporting

confidence: 75%

Clusterization of Agroforestry Farmers using K-Means Cluster Algorithm and Elbow Method

Santoso¹,

Darmawan²,

Sari³

et al. 2023

J. Sylva Lestari

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“…Such disagreements were also reported by Kalanzi et al. (2020) among smallholder agroforestry farmers in Uganda. However, these cases are few in our data (about one in every five couples), and robustness checks that exclude these cases in the analysis essentially give similar results.…”

Section: Limitationssupporting

confidence: 70%

Family‐type public goods and intra‐household decision‐making by co‐resident South African couples

Guvuriro

Booysen

2021

Review Development Economics

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The current study examines sources of bargaining power that inform financial decision‐making processes within co‐resident couples and determines how bargaining power and decision‐making impact on family‐type public goods expenditure. The study uses South Africa's National Income Dynamics Study, which offers a direct measure of financial decision‐making responsibility. In terms of analysis, probit regression models are used to establish socioeconomic determinants of decision‐making for female partners in co‐resident couples, while ordinary least squares linear regression models are employed to determine the extent to which financial decision‐making responsibility and power influence expenditure on family‐type public goods by households. There is evidence of the relevance of economic factors in explaining financial decision‐making as postulated by the resource theory. Households with wives who gain a decision‐making role spend more on family‐type public goods. The findings suggest that policy has to focus on gender mainstreaming and empowerment, which would enhance the decision‐making role of women within co‐resident couples.

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“…Men and women play complementary roles such as weeding and harvesting of crops, but with some gendered variations (Manginsela, 2016). With regard to decision-making over the crops to be grown, women dominate the decision-making over the type of crops to be cultivated due to the genderascribed roles of women: to prepare food for members of their households (Kalanzi et al,2020). Moreover, men and women engage not only in the grazing of livestock within forested lands but also in the collection of livestock fodder from forests (Manginsela, 2016;Sithole et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

“…Both men and women have rights over wild fruits and vegetables located within forested areas (Gurung et al, 2013;Kalanzi et al, 2020;Manginsela, 2016;Matiku et al, 2013;Rotich, 2019). In relation to collection spaces of fruits and vegetables, men have access to wild fruits and vegetables growing in the deeper parts of the forest, while women collect fruits and vegetables growing at the edge of the forest (Manginsela, 2016).…”

Section: Introductionmentioning

confidence: 99%

“…In relation to collection spaces of fruits and vegetables, men have access to wild fruits and vegetables growing in the deeper parts of the forest, while women collect fruits and vegetables growing at the edge of the forest (Manginsela, 2016). Moreover, both men and women engaged in the collection of wild fruits from the forested lands for domestic consumption (Kalanzi et al, 2020;Rotich, 2019).…”

Section: Introductionmentioning

confidence: 99%

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Gendered Sharing of Decision-making Powers, Responsibilities and Rights over Non-Timber Forest Resources in Cherangany Hills Forest, Kenya

Juma

Omondi

Kareri

2023

East Afr. j. environ. nat. resour.

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Building on the Theory of Feminist Political Ecology (FPE), this paper examines the gendered sharing of intra-household decision-making powers, responsibilities, and rights over the exploitation of non-timber forest resources within Cherangany Hills Forest, Kenya. A cross-sectional survey research design was adopted, semi-structured questionnaires were administered to 280 Community Forest Association (CFA) members (140 male and 140 female) that were randomly sampled, and in-depth interviews were conducted among 35 key respondents (20 CFA members, 7 CFA leaders, 2 village elders, 2 assistant chiefs, 2 forest guards, and 2 forest officers) that were purposively sampled. Quantitative data was analysed in the form of mean and standard deviation and presented in the form of percentages and graphs. This paper highlights that husbands and wives shared the decision-making powers over the use of forest land for crop farming to a ‘Great Extent’. There was substantial gendered sharing of intra-household decision-making over the use of forest land for livestock feeding. However, there was minimal gendered sharing of intra-household decision-making with regard to the collection of firewood, herbal plants, indigenous vegetables, and fruits from the forest as well as beekeeping within the forest. The husbands and wives shared the responsibilities and rights over crop farming to a ‘Great Extent’. There was substantial gendered sharing of responsibilities and rights over the collection of fodder and grazing of livestock and collection of herbal plants from the forest. But there was minimal gendered sharing of responsibilities and rights over the collection of firewood, beekeeping and honey harvesting, collection of wild vegetables and picking of indigenous fruits from the forest. There is a need to enlighten, encourage and support both men and women living adjacent to forested areas to understand forest rights, embrace on-farm forestry, and use forest resources sustainably

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Intra-household decision-making among smallholder agroforestry farmers in the eastern highlands of Uganda

Cited by 4 publications

References 30 publications

Clusterization of Agroforestry Farmers using K-Means Cluster Algorithm and Elbow Method

Clusterization of Agroforestry Farmers using K-Means Cluster Algorithm and Elbow Method

Family‐type public goods and intra‐household decision‐making by co‐resident South African couples

Gendered Sharing of Decision-making Powers, Responsibilities and Rights over Non-Timber Forest Resources in Cherangany Hills Forest, Kenya

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