Fostering linking social capital for successful agricultural development projects in South Africa

Taruvinga, Bridget; Ndou, Portia; Hlerema, Igenicious N.; Maraganedzha, Thetshelesani Lesly; Plooy, C. P. du; Venter, S.L.

doi:10.1080/03031853.2017.1283243

Cited by 12 publications

(7 citation statements)

References 15 publications

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“…'Communication within the CBP' is another organizational factor that was statistically significant at the 5% level and had a β-value of 0.174. Effective communication within a cooperative has always been advocated for increased participation among members (Taruvinga et al, 2017;Österberg & Nilsson, 2009). Effective communication embraces the channels, timeliness, language and quality of information, and the ability to raise concerns and receive feedback.…”

Section: Binary Logistic Regression Resultsmentioning

confidence: 99%

Group Cohesion for Enhanced Operation of Agricultural Community-Based Projects in Gauteng Province, South Africa

Taruvinga¹,

Ndou²,

Plooy³

et al. 2021

JAS

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Collective operation of smallholder farmers and cooperatives has been attributed to many mishaps and malfunctions. Such knowledge creates misperceptions regarding agricultural cooperatives and their usefulness in development. This study investigated member commitment, group cohesion and membership retention in agricultural production cooperatives. The main aim was to identify possible practical measures for enhanced performance and increased sustainability in farmer organizations. Data was collected from 92 participants that were currently operating as cooperative members. A combination of descriptive statistics, Perceived Cohesion (PC) and Binary Logistic Regression methods were employed for analysis. Results of the study indicate that group cohesion is influenced by trust among members, internal communication, financial performance of the cooperative, involvement of members in decision making, and role of the organization in the community. Strategies for increased group cohesion that were recommended in the study include information sharing and transparency at all levels of operation, and collective decision making and planning in organizations.

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Section: Binary Logistic Regression Resultsmentioning

confidence: 99%

Group Cohesion for Enhanced Operation of Agricultural Community-Based Projects in Gauteng Province, South Africa

Taruvinga¹,

Ndou²,

Plooy³

et al. 2021

JAS

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“…O capital social é importante neste processo de evolução das fases do ciclo de vida do TBC, pois fornece os recursos, redes sociais, além de normas, necessárias para construir parcerias, relações de confiança entre os diversos atores nas esferas pública e privada. De forma mais ampla, oferece resultados em nível micro e macro que são benéficos para a comunidade (Taruvinga et al, 2017).…”

Section: Considerações Finaisunclassified

Proposta de integração do capital social ao ciclo de vida do turismo de base comunitária

Alves,

Gómez

2021

Rev. Tur. Anál.

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O turismo de base comunitária enquanto modelo alternativo ao turismo de massa tem alcançado visibilidade principalmente por direcionar seus benefícios para a comunidade. Mas, como qualquer produto, também passa por um ciclo de vida composto de seis fases, que sofrem influência de fatores que podem ser compreendidos por meio do conceito de capital social. Desta maneira, este artigo propõe uma integração entre o capital social e o ciclo de vida do turismo de base comunitária a partir da relação entre seus diversos elementos. A literatura apontou que os elementos desse ciclo de vida são: capacitação dos membros da comunidade, infraestrutura turística, benefícios à comunidade, modelo de desenvolvimento, participação da comunidade e envolvimento de atores externos. Por outro lado, os elementos do capital social são: capital social de ligação, de ponte e de conexão. Em suma, enquanto o capital social de ligação permite que as iniciativas se sustentem, o capital social de ponte e conexão pode ajudá-las a avançar para fases posteriores no ciclo de vida. Ao mesmo tempo, deve-se buscar a melhor otimização desses tipos, já que em excesso o efeito pode ser negativo.

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“…As observed by Aldrich (2012), linking capital improves adaptation through the provision of information that is otherwise unavailable. Through vertical relations with organizations external to the community, linking social capital improves access to information that is very important for enhancing adaptation to climate change (Taruvinga et al 2017;Babaei et al 2012). Information that communities may access through linking social capital includes improved varieties, yield robustness of such varieties, baskets of adaptation technologies, research results, and opportunities for exchange visits.…”

Section: Hierarchical Linear Regression Model With Random Intercept Amentioning

confidence: 99%

“…It refers to the linkages between communities and organizations that are external to it. Scholars argue that communities that have better resilience are those that have higher linking social capital compared to bonding capital (Aldrich 2012;Taruvinga et al 2017). This chapter measures linking capital as a village-level variable and use it as a level 2 covariate in the hierarchical linear regression model.…”

Section: Introductionmentioning

confidence: 99%

Drivers of Level of Adaptation to Climate Change in Smallholder Farming Systems in Southern Africa: A Multi-Level Modelling Approach

Zamasiya¹,

Nyikahadzoi²,

Mukamuri³

2020

African Handbook of Climate Change Adaptation

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Climate change is a major development challenge affecting developing countries that rely on rain-fed agricultural production for food and income. Smallholder farmers in these countries are using multiple adaptation practices to manage the effects of climate change. This chapter examines household and community-level factors that influence smallholder farmers’ level of adaptation to climate change in the Hwedza District in Zimbabwe. Data for this study were collected from 400 randomly selected smallholder farmers, using a structured questionnaire, focus group discussions, and key informant interviews. The study used a multilevel modeling approach to examine the factors that influence smallholder farmers’ level of adaptation to climate change. Results from the study show that smallholder farmers’ level of adaptation to climate change is conditioned by access to extension services, access to remittances, family labor, household education (household level factors), and linking capital (community-level factor). This chapter therefore concludes that smallholder farmers that have higher levels of adaptation to climate change are those that are well linked to external organizations and have access to agricultural extension services. The chapter recommends that adaptation to climate change can be enhanced by improving access to agricultural extension services and promoting linkages with external organizations that provide information on agricultural adaptation practices.

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Fostering linking social capital for successful agricultural development projects in South Africa

Cited by 12 publications

References 15 publications

Group Cohesion for Enhanced Operation of Agricultural Community-Based Projects in Gauteng Province, South Africa

Group Cohesion for Enhanced Operation of Agricultural Community-Based Projects in Gauteng Province, South Africa

Proposta de integração do capital social ao ciclo de vida do turismo de base comunitária

Drivers of Level of Adaptation to Climate Change in Smallholder Farming Systems in Southern Africa: A Multi-Level Modelling Approach

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