Sustainable agricultural practices (SAPs) are critical to improving agricultural productivity and food security for smallholders in India, despite a variety of environmental challenges. The study attempts to determine various factors that affect Sustainable agricultural practices and their knowledge and adoption likelihood among Indian farmers. The impact of socio-demographic factors, social engagement, awareness levels, risk orientation, and innovativeness on knowledge and adoption of Sustainable agricultural practices were assessed. The dataset is based on a structured questionnaire survey conducted in four different districts of Andhra Pradesh, a southern state in India during 2017-2018. The sample consists of 240 farmers, 60 from each district. Descriptive and inferential statistical analyses are carried out to arrive at meaningful explanations. Results show that the distribution of knowledge and adoption of Sustainable agricultural practisesin the different districts have greater disparities as per descriptive chi-square values. Logistic regression analysis indicates that farming experience between 10 and 20 years, higher educational status, higher awareness levels, active social participation, better risk orientation, higher level of innovativeness contributes significantly towards knowledge enhancement of the farmers. Based on the findings, 63.6% of farmers with high and intermediate levels of knowledge have moderate to high adoption, while 37% of farmers with better knowledge have lower adoption. Farmers with little knowledge often have a low rate of adoption of Sustainable agricultural practises. The study also argues that the availability of information and greater exposure of the target population to the associated risks and innovativeness have a positive and important impact on awareness and intention to implement sustainable agriculture practises.
Aims: The aim was to estimate the output supply and input demand elasticities of maize, jowar and bajra production, using the restricted normalised translog profit function, for the major producing states of India (Andhra Pradesh, Maharashtra and Rajasthan). Study Design: A stratified multi-stage random sampling design was adopted for carrying out the sampling. Place and Duration of Study: The study pertains to cross sectional plot level data for the period 2013-14 and 2017-18. The study is based on secondary data, collected from Directorate of Economics & Statistics, Ministry of Agriculture, Government of India. Methodology: For the present studied crops (maize, jowar and bajra), those states were selected which covered maximum area, i.e, 85% of the total area under the cultivation. Socio-economic data of farmers such as age, sex, level of education, occupation, size of landholding were collected. The translog profit function approach was used as the econometric technique to estimate output supply, and input demand functions. Labour, fertiliser and seeds are taken as variable inputs. Statistical software STATA version 16 was used for the analysis. Results: The results suggest that the changes in market prices of inputs and output significantly affect the farmers’ profits, crop produce supply and the use of resources in the cultivation of these crops. The supply elasticities of maize, jowar and bajra with respect to its own prices are positive and statistically significant indicating that increase in support prices can boost the supply of these nutri-grains and farmers profits. Labour demand for these crops in the country is elastic and significant to its own price. Conclusion: During both the periods, 2013-14 (typical monsoon year) and 2017-18 (drought year), the elasticities derived are statistically robust as almost all of them carried compatible signs and in line with the theory. Promoting these crops can contribute to labour absorption.
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