Impact of farmer education on farm productivity under varying technologies: case of paddy growers in India

Paltasingh, Kirtti Ranjan; Goyari, Phanindra

doi:10.1186/s40100-018-0101-9

Cited by 118 publications

(89 citation statements)

References 38 publications

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“…Well educated farmers first are capable of using available information more competently, second, they have better access to required information and, third, they are more likely to adopt new technologies or products earlier since they have superior access to related information, are more capable of distinguishing between promising and unpromising innovations, and are more willing to adopt riskier production technologies if these technologies provide higher expected returns. Education is usually proxied by years of schooling or a dummy variable showing a minimum threshold level [44], as both these approaches measure the quantity of schooling and hence the level of education [45]. In this paper we control for both general and agricultural specific education.…”

Section: Data and Descriptive Analysismentioning

confidence: 99%

The Impact of Non-Agricultural Diversification on Financial Performance: Evidence from Family Farms in Italy

Salvioni

Henke²,

Vanni³

2020

Sustainability

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Diversification has been increasingly recognized as a rewarding farm strategy through which farmers produce on-farm non-agricultural goods and services. In doing so, farmers employ farm inputs (capital, labor, and land) in products other than agricultural goods, with the aim to sell them in the market and increase their income. While a significant body of literature has explored the drivers affecting the adoption of diversification activities, so far little attention has been given to the impact of such adoption on the technical and financial performance of farms. This article intends to provide empirical evidence on the impact of on-farm non-agricultural diversification on the financial performance of family farms in Italy, by using a nation-wide sample of agricultural holdings based on the Farm Accountancy Data Network (FADN) data. We estimated a fixed effects-instrumental variable panel model to deal with two potential sources of bias: self-selection in the diversification strategy and simultaneity, due to the fact that farmers often decide to diversify with outcome expectations in mind. Our findings show that in Italy the diversification strategy has a positive impact on the financial performance of family farms, which is second in magnitude only to that of land growth strategy. Our results also confirm the positive impact of efficiency and clarify that education has a positive return to investment when it is specialized in agriculture.

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Section: Data and Descriptive Analysismentioning

confidence: 99%

The Impact of Non-Agricultural Diversification on Financial Performance: Evidence from Family Farms in Italy

Salvioni

Henke²,

Vanni³

2020

Sustainability

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“…Increasing formal and informal education would increase the ability to handle chicken and to apply the management practice of the chicken rearing business. Thus, the farmers who completed minimum education at the secondary level are most likely to adopt new technology and experience the yield augmenting effects of education (Paltasingh and Goyari, 2018).…”

Section: Resultsmentioning

confidence: 99%

Production and Marketing System of Kampong Chicken in Batang Regency, Central Java, Indonesia

Setiadi

Santoso

Nurfadillah

et al. 2020

Caraka Tani J. Sustain. Agric.

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Kampong chicken is an indigenous chicken that gains popularity among consumers andit has good potentialsas a livestock commodity. But, the problem is most kampong chicken were kept in free range system without any standard of the rearing procedure and time. The farmers will sell their chickens by market’s requests. The study aims to determine the agribusiness production and marketing sub-system of kampong chickens. A hundred kampong chicken farmers from 9 sub-districts in Batang Regency were interviewed. Respondents were chosen by simple random sampling. Each farmer owned 4-120 kampong chickens with average number of 6.76 heads per farm. The poultry production sub-system consisted of six constituent variables, namely administration/bookkeeping, location, maintenance technology, maintenance system, business continuity and sanitation. Each constituent variable produced score of 1.44; 1.75; 1.68; 2.77; 1.55 and 2.03 respectively with the average value of 1.87. These results indicated that the applications of agribusiness production sub-systems were in the moderate category. The assessment of the marketing sub-system application included five variables namely marketing scale, marketing objectives, marketing technology, market information and pricing with the following scores 1.52, 1.76, 1.41, 1.85 and 1.18 respectively; or have an average value of 1.54. This result showed that the marketing sub-system has a moderate category. Improving the production system which consisted of the bookkeeping record, increase the number of rearing scale and sanitation process would improve farm productivity. Increasing marketing systems such as the application of electronic marketing would improve market efficiency. The results showed that the improvement of production and marketing agribusiness sub-systems are needed in order to increase farmers’ income.

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“…Owuor et al (2020) reported that education impacts agricultural output through supporting farmer adoption of new productivity enhancing technologies. Paltasingh and Goyari (2018) found that a minimum threshold level of education is significantly influencing the adoption of modern varieties of paddy and thereby the farm productivity of adopters only. Weir (1999) reported that education enhances the farming skills and productive capabilities of the farmers.…”

Section: Socio -Demographic Characteristics Of Respondentsmentioning

confidence: 99%

Drivers and restrictions of range pasture improvement by agro-pastoralists in Kiruhura District, Uganda

Robert¹,

Sarah²,

Okello³

2020

Afr. J. Agric. Res.

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Range pastures provide the basic ruminant feeds resource for livestock production in semi-arid areas despite ruminant nutrition remaining a challenge affecting productivity. Different livestock development interventions have been promoted to improve livestock nutrition with low farmer adoption rate. A cross sectional exploratory study was conducted between March and July 2018 to identify the drivers of range pastures improvement technologies adoption in rangelands with specific objectives as: (a) Assessing the knowledge, attitudes and practices of pastoralists in regard to range pasture improvement practices and technologies; (b) identifying the forage species planted by pastoralists and strategies for their sustainable utilization; (c) identifying the incentives for the adoption and maintenance of range pasture improvement practices and; (d) identifying the key players and their roles in range pasture improvement promotion and constraints faced in attempt to improve rangeland pastures. A structured questionnaire guided interview was conducted with 294 agro pastoralists while qualitative data was obtained using, KII. Results revealed that farmers had knowledge on range pasture improvement technologies, although adoption rate was low (19.5%). The range pasture improvement practices, included: Pasture establishment, bush clearing, paddocking, conservation, reseeding and over-sowing and water development. However, results also revealed knowledge gaps in silage and hay making, reseeding and understanding principles of range management. The level of education, household income, off farm activities, access to laborers and credit, agriculture exhibitions, farmers' meetings and on-farm demonstrations influenced farmers' adoption of fodder production technologies. Farm gate milk prices, sensitization, financial support, farm output of adopters and inputs support seemed to drive farmers to improve their range pastures. These findings underline the importance of farm-gate milk prices and institutional support as drivers for farmer decision for investment in pasture improvement. Therefore, policy and development interventions should emphasize improvement of milk farm gate prices and farm support systems.

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Impact of farmer education on farm productivity under varying technologies: case of paddy growers in India

Cited by 118 publications

References 38 publications

The Impact of Non-Agricultural Diversification on Financial Performance: Evidence from Family Farms in Italy

The Impact of Non-Agricultural Diversification on Financial Performance: Evidence from Family Farms in Italy

Production and Marketing System of Kampong Chicken in Batang Regency, Central Java, Indonesia

Drivers and restrictions of range pasture improvement by agro-pastoralists in Kiruhura District, Uganda

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