Technology adoption by small-scale full-time and part-time family farm households in the subtropics of Jammu &amp; Kashmir

Peshin, Rajinder; Sharma, Rakesh Kumar; Kumar, Raj; Sharma, Laxmi Kant; Dwivedi, Sudhakar; Nanda, Rakesh; Gupta, Ved Prakash; Risam, K. S.

doi:10.5958/0974-0279.2018.00043.5

Cited by 4 publications

(3 citation statements)

References 9 publications

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“…[23] Agricultural development with narrow urban land is believed to be a solution to food problems due to the decline in the number of farmers, urbanization, and limited land. However, the results of this study are not in line with the results of research by Peshin et al [24] that in order to increase the household income of small farmers, nonagricultural economic employment opportunities must be created, where small-scale agriculture in the subtropical region of Jammu&Kashmir (J&K) cannot provide economic prosperity.…”

Section: Acceptance Of Farmer Groups In the Activity Of Demplot Tagrinovcontrasting

confidence: 99%

Accelerating innovation adoption in the “Tagrinov” program in Bali Province

Mahaputra¹,

Rinaldi²,

Arya³

et al. 2021

E3S Web Conf.

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One of the natural resources that has the potential to improve the performance of rural farmers is the use of yards. Various efforts have been made by the Ministry of Agriculture, one of which is the Agricultural Innovation Gardens (Tagrinov), which has been a model for government offices. This research was conducted in Bengkel Village, Buleleng Regency, in October-December 2019. The number of respondents was set at 30 farmers implementing the program. The study aim is to identify the level of group adoption of disseminated technological innovations that are profit-oriented farmer groups. The basic research method is descriptive method, using survey technique. The classification of the level of farmer adoption of the technology is divided into 3 categories (high, medium and low) using intervals. The adoption rate analysis for the herd level used the formula N = SA x IA. Followed by analysis of farm income using the following approach: Pd = TR - TC. The results showed the effectiveness of increasing farmers’ knowledge by 64.68% (quite effective), farmers’ attitudes towards the material increased by 3.86 (good category), group adoption rate by 88.11% (high adoption) and as a whole can provide additional income for farmer groups of Rp.752.556,-/month.

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Section: Acceptance Of Farmer Groups In the Activity Of Demplot Tagrinovcontrasting

confidence: 99%

Accelerating innovation adoption in the “Tagrinov” program in Bali Province

Mahaputra¹,

Rinaldi²,

Arya³

et al. 2021

E3S Web Conf.

View full text Add to dashboard Cite

show abstract

“…Furthermore, the results in table 7 reveal that income obtained from government services was higher than that from other non-farm activities. Empirical evidences from the sub tropics of Jammu and Kashmir shows that more than 70% of the farm households are involved in nonfarm economic activities (Peshin et al 2013;Bano et al 2016;Peshin et al 2018).…”

Section: Resultsmentioning

confidence: 99%

Factors affecting non-farm diversification among farm households in Jammu and Kashmir

Nanda¹,

Peshin²,

Singh³

et al. 2019

Agri. Econ. Rese. Revi.

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This article assesses the importance of non-farm activities and identifies factors that influence farm households' participation in these activities in the Indian state of Jammu and Kashmir on the basis of a survey of 630 farm households in 2016-2017. The findings show that a majority of farm households are simultaneously engaged in non-farm activities, particularly in labour market and government services. Furthermore, the participation in non-farm activities is found to be positively influenced by education, family size, and dependency ratio, but negatively by farm size.

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“…Several interrelated factors proposed in various literatures are considered to influence farmers’ decisions to adopt agricultural innovations. For instance, farmers’ age [ 41 , 42 ], education and gender [ 43 , 44 ], household size [ 45 , 46 ], farm size [ 38 , 47 , 48 ], land ownership [ 49 ], farming experience [ 50 , 51 ], farm and non-farm income [ 22 , 52 – 54 ], types of farm land [ 55 , 56 ], family labor [ 57 ], livestock ownership [ 58 ], market distance [ 46 , 59 ], irrigation facilities [ 60 ], information [ 61 ], cost-effectiveness [ 62 ], the role of extension services [ 63 ], friends and neighbors’ influence [ 64 ], credit availability [ 65 ], infrastructure [ 65 ], learning by doing [ 66 ], and application timing and methods [ 67 – 69 ] affect farmers’ decision to accept or reject a technology.…”

Section: Methodsmentioning

confidence: 99%

What influences Bangladeshi Boro rice farmers’ adoption decisions of recommended fertilizer doses: A case study on Dinajpur district

Sunny

Rahman

et al. 2022

PLoS ONE

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Due to the combined effect of biotic and abiotic constraints, rising population pressure, and inelastic demand in the crop and horticulture sector, Bangladesh has had to adopt heavily subsidized and intensified fertilizer policies to enhance crop productivity, achieve and sustain self-sufficiency in food production, and food security provision. Although the initiative has played a vital role in boosting production, it has also invigorated the unbalanced amount of fertilizer application practices raising questions about maintaining biodiversity and ecosystem services while feeding the nation’s population. Further research in this area must thus be applied to monitor and improve this sector. This study attempts to understand the issue by investigating the factors influencing Boro rice farmers’ adoption decisions of recommended fertilizer doses. The study employs an ordered probit model with a sample selection approach. The investigation is based on collected data from 405 randomly selected farmers using a face-to-face interview method. The farmers were classified into low, middle, high and non-adopter groups. The study revealed that farmers’ age, land typology, soil water retention, knowledge, and availability of cow dung significantly influenced farmers’ decision to apply fertilizers. However, farmers’ carry an aversion to following recommendations for fertilizer application due to their ambiguity about the whole system, their current fertilizer application-seeking behavior, and the lack of understanding of the environmental benefits of adoption. These issues urge policy interventions to initiate village-based demonstration programs that synthesize better synergies between recommended dose adoption, yield amelioration, sustainable soil care, and economics.

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Technology adoption by small-scale full-time and part-time family farm households in the subtropics of Jammu & Kashmir

Cited by 4 publications

References 9 publications

Accelerating innovation adoption in the “Tagrinov” program in Bali Province

Accelerating innovation adoption in the “Tagrinov” program in Bali Province

Factors affecting non-farm diversification among farm households in Jammu and Kashmir

What influences Bangladeshi Boro rice farmers’ adoption decisions of recommended fertilizer doses: A case study on Dinajpur district

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