Determinants of sustainable innovation performance by smallholder dairy farmers in Malawi

Chindime, S.; Kibwika, Paul; Chagunda, M. G. G.

doi:10.1080/23311932.2017.1379292

Cited by 12 publications

(14 citation statements)

References 9 publications

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“…In contrast to a previous study by (Chindime et al, 2017), information sharing among pig producers had no significant effect on their innovation behaviour. (Chindime et al, 2017) reported that information sharing among farmers through networking had a positive significant effect on their innovation behaviour. This discrepancy is perhaps because the previous study did not consider the quality and utilisation of the information being shared.…”

Section: Discussioncontrasting

confidence: 99%

“…H 5 : Information sharing mediates the relationship between market information quality and innovation behaviour (Chindime et al, 2017) argue that information sharing enhances the innovation performance of farmers. Therefore, information sharing is expected to positively impact pig producers' innovation behaviour.…”

Section: H 4 : Market Information Quality Positively Affects Information Sharingmentioning

confidence: 99%

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Effect of market information quality, sharing and utilisation on the innovation behaviour of smallholder pig producers

Mugonya

Kalule

Ndyomugyenyi

2021

Cogent Food & Agriculture

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Although pig farming can accelerate Uganda's economic development, the value chain is undeveloped with poorly organized informal markets. Buyers take advantage of farmers paying low prices, pointing to the poor quality of pigs and pork. Farmer innovation can remedy this situation by enabling farmers to reduce costs, improve pig productivity and quality of pigs and pork. Leveraging farmer innovation behaviour calls for appropriate agricultural information. However, the effect of market information quality, sharing, and utilization on the innovation behaviour of pig producing farmers is not fully known. This study sought to determine the effect of information quality, sharing, and utilisation on the innovation behaviour of pig producing farmers in Northern Uganda. A cross-section survey of 239 respondents selected through multiple stages of purposive and random sampling was done. Data were analysed by Structural Equation Modeling (SEM). The results show that information quality contributes significantly to innovation behaviour directly (β = 0.247; P < 0.01) as well as indirectly through the partial mediation of information utilization (β = 0.176; 95% CI = 0.040 0.349). Therefore, interventions that seek to enhance smallholder farmer innovation should provide quality information and support farmers to utilise it.

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Section: Discussioncontrasting

confidence: 99%

Section: H 4 : Market Information Quality Positively Affects Information Sharingmentioning

confidence: 99%

Effect of market information quality, sharing and utilisation on the innovation behaviour of smallholder pig producers

Mugonya

Kalule

Ndyomugyenyi

2021

Cogent Food & Agriculture

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“…Similarly, variables such as access to information, irrigation and improved seeds, manure usage, and frequency of extension visits have significant positive effects on farmers' participation in agricultural innovation activities. The results of this study are in line with the findings of Chindime et al (2017) who found positive relationships between access to inputs and farmers' innovation practices.…”

Section: Econometric Resultssupporting

confidence: 90%

Risk induced farmers’ participation in agricultural innovations: evidence from a field experiment in eastern Ethiopia

Lemessa

Yismaw

Watabaji

2019

Development Studies Research

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It is widely accepted that agricultural innovations are vital to ensure food security and economic development. While farmers are among the key sources of agricultural innovations, many studies conducted in the past conceived them as adopters of externally generated technologies. They regarded farmers only as adopters of induced technologies. This study is designed to analyze farmers' participation in agricultural innovation activities using survey and experimental data. Both descriptive and econometric techniques were employed to analyze the data. It appears that risk attitudes and time preferences are variables that enhance farmers' participation in agricultural innovation activities. Wealth and socioeconomic variables such as access to information and irrigation facilities, input usage and age of household head are significantly correlated with farmers' participation in agricultural innovation activities. The findings comply with the induced innovation hypothesis, which recognizes the importance of threats and opportunities to triggering farmers' participation in agricultural innovation activities.

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“…Lumu et al (2013) observed that in urban and peri-urban areas, livestock farmers usually rely on markets for feeds in form of conventional feeds or crop residues that are usually available throughout the year. Access to input markets including livestock feeds has been shown to improved farmers overall innovativeness (Chindime et al, 2017). According to Tatwangire (2014), improving market access to smallholder pig farmers leads to better access to productive inputs.…”

Section: Institutional Factorsmentioning

confidence: 99%

An assessment of pig feed diversity amongst smallholder pig farmers in Northern Uganda

Okello

Odongo

Aliro

et al. 2021

Cogent Food & Agriculture

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Pig production has a high potential for increasing household incomes of both rural and urban smallholder farmers. However, this opportunity is constrained by the high cost of feeds and its scarcity. As such, farmers usually feed pigs on multiple feed resources within their reach. Although the diversity of pig feeds is important in overcoming the challenges, there is limited information on how this can be achieved, and the factors influencing it. Using a cross-section of 240 pig farming households, this study assessed how socio-demographic, technical and institutional factors influenced household pig feed diversity. Statistical analysis was performed at p < 0.1, p < 0.05 and p < 0.01), respectively. Results showed that marital status (p = 0.012), household size (p = 0.085), number of crop (p = 0.008) and other livestock enterprises (p = 0.055), ownership of mobile phone (p = 0.091), buying feeds (p = 0.005), and use of radio (p = 0.032) and friend as sources (p = 0.002) of agricultural information had a positive significant influence on household pig feed diversity. Additionally, age (p = 0.042), land size owned (p = 0.085) and breed [rearing local (p = 0.009) and crosses (p = 0.000) as opposed to exotic breeds] had a negative significant influence on household pig feed diversity.The study recommends that focus should be placed on improving access to farm inputs, agricultural and market information for smallholder pig farmers so as to

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Determinants of sustainable innovation performance by smallholder dairy farmers in Malawi

Cited by 12 publications

References 9 publications

Effect of market information quality, sharing and utilisation on the innovation behaviour of smallholder pig producers

Effect of market information quality, sharing and utilisation on the innovation behaviour of smallholder pig producers

Risk induced farmers’ participation in agricultural innovations: evidence from a field experiment in eastern Ethiopia

An assessment of pig feed diversity amongst smallholder pig farmers in Northern Uganda

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