Browsing by Author "Prakash Singh Badal"

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Analysing Absenteeism in Agriculture: A Dialogue-Based Study using Phi(Φ) Correlation Coefficients
(Indian Society of Agricultural Economics, 2025) Sachin Rathour; Sonal Pandey; Prakash Singh Badal; Virendra Kamalvanshi; Saket Kushwaha; S. R. Devegowda
This study examines absentee landlordism within the agricultural sector and explores the sentiments of farmers regarding this phenomenon. Employing descriptive analysis, TextBlob sentiment analysis, topic modeling, and Phi (Φ) correlation coefficients, the study uncovers significant interdependencies among these factors. Topic modeling analysis reveals farmers’ key concerns and aspirations, shedding light on their perspectives toward agriculture. While notable hardships persist, farmers maintain a constructive outlook. Drawing on responses from samples, the research identifies key factors driving declining engagement in farming, such as stable alternative income sources, wildlife threats, and high agricultural input costs. Results indicate strong correlations between absenteeism and economic stability, rural-to-urban migration, urbanization, and wildlife-related challenges. The findings highlight that off-farm income opportunities, environmental uncertainties, and inadequate rural infrastructure are primary drivers of absenteeism, prompting rural populations to seek urban livelihoods. Challenges like land fragmentation and poor living standards further impede agricultural sustainability, whereas modern agricultural technologies exhibit minimal influence. © 2025 Indian Society of Agricultural Economics. All rights reserved.
Forecasting Potato Prices: Application of ARIMA Model
(AESSRA, 2022) Prakash Singh Badal; V. Kamalvanshi; Abha Goyal; Pramod Kumar; Biswajit Mondal
Price fluctuations in potatoes (Solanum tuberosum L.) concern consumers, farmers, and policymakers, and its accurate price prediction is important for all the stakeholders. In India, out of a total of 5.34 million ha of land under vegetables, potato occupies nearly 20.8 per cent of area. India produces 12.3 per cent of world potato production (around 45.34 million tons) and is next only to China. The major potato-producing states are highly concentrated in the Indo-gangetic plains of the country. Uttar Pradesh, West Bengal and Bihar account for 32.4, 26.9 and 14.6 per cent of national production of potato. The present study was designed to forecast the prices of potato in these three major potato-producing states of the country. Autoregressive Integrated Moving Average forecasting models - ARIMA (1,0,1) for Varanasi market, ARIMA (2,0,1) for Kolkata market, and the ARIMA (3,0,1) for Patna market were applied. The performance of the ARIMA models produced reliable forecast of prices of potatoes for all three major producing states. © 2022 AESSRA. All Rights Reserved.
Protected cultivation of horticultural crops in uttarakhand: An economic analysis
(MDPI, 2021) Pramod Kumar; Amit Kar; Dharam Raj Singh; Anbukkani Perumal; Satish Gowda Chirathahalli Shivamurthy; Krishna Viswanatha Reddy; Prakash Singh Badal; Ankush Lala Kamble; Virendra Kamalvanshi; Girish Kumar Jha; Manjeet Singh Nain; Prakash Pachiyappan; Abed Alataway; Ahmed Dewidar; Hosam O. Elansary
In recent times, with the globalization of markets, shrinking of land and climate change, food basket diversification, increase in demand for nutrient-rich food, the protected cultivation of high-value crops (HVCs) have assumed a pivotal role in augmenting higher crop productivity and profitability and enhancing nutritional security of the growing population. In this context, a study was undertaken to analyze the impact of protected cultivation in horticultural crops in the districts of Almora and Dehradun in the Uttarakhand state. It was mainly based on primary data obtained through a primary survey and focus group discussion with the 96 farmers practicing protected cultivation by using a well-structured and pre-tested questionnaire. In economic analysis, the project analysis tools were used to assess the feasibility of the protected cultivation. The study clearly demonstrated that the cultivation of vegetables and flowers under protected cultivation is a highly profitable enterprise. However, the findings of the study indicated that the subsidy scheme needs to be continued to encourage maximum farmers to adopt protected cultivation and farmers need to be encouraged to form farmers producers organizations (FPOs), which would help them in seeking better quality of inputs and enhancing negotiating power in the market to realize maximum returns for their farm produce. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
Resource use efficiency and yield determinants in rapeseed-mustard cultivation: an integrated approach using Cobb-Douglas, Monte Carlo, and sensitivity analysis
(Frontiers Media SA, 2025) Sachin Rathour; Meera Kumari; Prakash Singh Badal; Virendra Kamalvanshi; Saket Kushwaha; H. S. Jatav; S. R. Devegowda
Rapeseed-mustard (Brassica spp.) is one of the most significant oilseed crops globally, with India being a major contributor, accounting for 11% of world production. Despite advancements in mustard cultivation practices, there remains a lack of comprehensive analysis integrating resource efficiency and input interactions to optimize yields sustainably. Furthermore, limited studies have employed advanced methodologies to assess the impacts of input uncertainties on yield stability and risk management. Therefore, the study evaluated the resource use efficiency in mustard cultivation through the Cobb-Douglas production function, Monte Carlo simulations, offering insights into input utilization and yield variability under uncertain conditions and sensitivity analysis for specific inputs’ contribution to yield. Results revealed imbalances in resource utilization; land and soil qualities are underutilized, while labor, plant protection chemicals, and machinery are overutilized. Fertilizer and seed inputs emerged as significant positive influencers of yield, with sulphur and fertilizer identified as critical factors through sensitivity analysis. Monte Carlo demonstrates yield stability, predicting a 100% probability of achieving at least 6 quintals per acre (1483 Kg/ha) under current input conditions. Policymakers can design targeted interventions to reduce regional productivity disparities and foster sustainable growth in the rapeseed-mustard sector. Findings also underscore the need for optimizing input utilization to balance economic, agronomic, and environmental outcomes, as well as adopting better practices for India’s oilseed sector. © © 2025 Rathour, Kumari, Singh Badal, Kamalvanshi, Kushwaha, Jatav and Devegowda.