Search results

Despite the susceptibility of cotton crops to pest attacks in the Malwa Region of Indian Punjab, no crop insurance policy has been implemented there– not even the Pradhan Mantri Fasal Bima Yojana (PMFBY), which is a central scheme. Therefore, this paper attempts to gauge the likely impact of the PMFBY on Punjab cotton farmers and assess the changes needed for greater uptake and effectiveness of PMFBY.

The authors have conducted a primary survey to conduct this study. Initially, the authors compared the costs of cotton production with the returns in two scenarios (with and without insurance). Additionally, the authors have applied a logistic regression framework to examine the determinants of the willingness of farmers to participate in the crop insurance market.

The study finds that net returns of cotton crops are conventionally small and insufficient to cope with damages from crop failure. Yet, PMFBY will require some modifications in the premium rate and the level of indemnity for its greater uptake among Punjab cotton farmers. Additionally, using the logistic regression framework, the authors find that an increase in awareness about crop insurance and farmers' perceptions about their crop failure in the near future reduces the willingness of the farmers to participate in the crop insurance markets.

The present study looks for the viability of PMFBY in Indian Punjab for the cotton crop, which can also be extended to other crops.

Punjab could also use crop insurance to encourage diversification in agriculture. There is a need for special packages for diversified crops under any crop insurance policy. Crops susceptible to volatility due to climate-related factors should be identified and provided with a special insurance package.

There exist very scant studies that have discussed the viability of a central crop insurance scheme in the agricultural-rich state of India, i.e. Punjab. Moreover, they do not also focus on crop losses accruing due to pest and insect attacks.

This paper attempts to understand how the interaction of natural disasters and human behaviour during wartime led to famines in three regions under imperial control around the Indian Ocean. The socio-economic structure of these regions had been increasingly differentiated over the period of imperial rule, with large proportions of their populations relying on agricultural labour for their subsistence.

Before the war, food crises in each of the regions had been met by the private importation of grain from national or overseas surplus regions: the grain had been made available through a range of systems, the most complex of which was the Bengal Famine Code in which the able-bodied had to work before receiving money to buy food in the market.

During the Second World War, the loss of control of normal sources of imported grain, the destruction of shipping in the Indian Ocean (by both sides) and the military demands on internal transport systems prevented the use of traditional famine responses when natural events affected grain supply in each of the regions. These circumstances drew the governments into attempts to control their own grain markets.

The food crises raised complex ethical and practical issues for the governments charged with their solution. The most significant of these was that the British Government could have attempted to ship wheat to Bengal but, having lost naval control of the Indian Ocean in 1942 and needing warships in the Atlantic and Mediterranean in 1943 chose to ignore the needs of the people of Bengal, focussing instead on winning the war.

In each of the regions governments allowed/encouraged the balkanisation of the grain supply – at times down to the sub-district level – which at times served to produce waste and corruption, and opened the way for black markets as various groups (inside and outside government ranks) manipulated the local supply.

People were affected in different ways by the changes brought about by the war: some benefitted if their role was important to the war-effort; others suffered. The effect of this was multiplied by the way each government ‘solved’ its financial problems by – in essence – printing money.

Because of the natural events of the period, there would have been food crises in these regions without World War II, but decisions made in the light of wartime exigencies and opportunities turned crises into famines, causing the loss of millions of lives.

Since 1980, the principal form of crop loss assistance in the United States has been provided through the Federal Crop Insurance Program. The Federal Crop Insurance Act of 1980 was intended to replace disaster programs with a subsidized insurance program that farmers could depend on in the event of crop losses. Crop insurance was seen as preferable to disaster assistance because it was less costly and hence could be provided to more producers, was less likely to encourage moral hazard, and less likely to encourage producers to plant crops on marginal lands. Despite substantial growth in the program, the crop insurance program has failed to replace other disaster programs as the sole form of assistance. Over the past 20 years, producers received an estimated $15 billion in supplemental disaster payments in addition to $22 billion in crop insurance indemnities.

Agriculture insurance is the panacea for the farming community. Many policy interventions were implemented for stimulating agriculture insurance access to farmers in India. However, access to agriculture insurance constantly remained one of the major challenges to Indian policy planners. The goal of the present paper is to explore current policy interventions in the area of agriculture insurance in India.

The present paper reviews and analyzes the evidence literature through a content analysis method on development and performance analysis perspective of existing agriculture insurance schemes in India.

Agriculture insurance is a significant risk management policy, but this is not easily reachable to the majority of farmers in India. The government of India introduces a novel agriculture scheme every decade, but every crop insurance scheme was inconsistent and ineffective owing to operational defects. Agriculture insurance in India is still developing in terms of coverage, scope, and exposure, but farmers' dissatisfaction about agriculture insurance turned out to be a negative word of mouth. Insurance illiteracy and farmers' preference for agriculture relief payments are the main reasons for limited access to agriculture insurance. The current crop insurance schemes are improperly operated because of implementation issues at the state level.

This paper will be useful for researchers and academicians to analyze the past and present status of crop insurance in India.

The paper is the unique work of the authors as it has attempted to present India's journey with agriculture insurance. An effort is made in the present study to provide a comprehensive and holistic developmental and performance analysis perspective of agriculture insurance in India.

With the shifting patterns of rain and dry periods as a result of global climate change, the people of Gunungkidul have to deal with extreme conditions, such as crop failure, ponds and artificial lakes drying up at an alarming rate due to high evaporation. The paper aims to discuss these issues.

Participatory disaster and risks assessment and action planning were carried out to identify how communities perceive risks and identify priorities of actions. Farmers agreed to implement climate adaptive farming which combines organic farming, biological pest control and drought-resistant seedlings from local varieties.

The processes to adaptation required collective actions, paradigm shift and it also constitutes trial and error processes. Acceptance to innovation is mostly one of the major challenges. Working with “contact” farmers and “advance” farmers is the key to the community organizing strategy for innovation and adaptation.

This case study is limited to the adaptation program funded by Indonesia Climate Change Trust Fund in four farmer groups in Purwosari Sub-District, GunungKidul district and Yogyakarta province, Indonesia.

Trainings and direct assistance to climate adaptive farming have benefitted the farmers that they are able to increase the farming production and reduce the risk of crop failure.

The demonstration plot has strengthened farmer groups’ social modalities by working together to shift from traditional into adaptive farming.

This case study described how farmers have shifted from traditional practice into climate adaptive farming.

Purpose – The globally controversial genetically modified (GM) cotton has been adopted widely by Indian farmers. Claiming the adoption to be a success of the GM technology, the GM proponents call for a large-scale introduction of GM crops in Indian agriculture. Opposition to GM crops is largely constructed in terms of the environmental risks that GM technologies pose to crop and forest biodiversity. This chapter examines the economic and political context in which these seeds were adopted to see if adequate support mechanisms were available to farmers to facilitate adoption of the new technology.

Design/methodology/approach – A field study was conducted in Vidharbha, Eastern Maharashtra. In addition, government reports and newspaper articles were reviewed and interviews were conducted in Maharashtra and Delhi.

Findings – This chapetr finds that the problems faced by farmers are much deeper than what technology can solve or which have been addressed in the GM debate. Cotton farmers face persistent problems in the agricultural production process that increase their production costs. A spate of farmer's suicides in Vidharbha and other rain-fed regions of India epitomizes the dire conditions farmers are in. This chapter asserts that state-supported policies transformed India from a food importing to a food surplus country in the 1960s during the green revolution. However, GM cotton has been introduced without a supportive infrastructure for technology transfer in Maharashtra and most cotton-growing states. The lack of support makes the gain of cotton farmers in Vidharbha from the new technology highly uncertain.

Originality/value – This analysis shows the need to examine the role of government programs in helping farmers implement technological advances in agriculture.

The purpose of this paper is to assess the agricultural practices in a drought-prone region of India in an effort to find out how science, technology and innovation (STI) measures can address the existing problems and help achieve sustainable solutions. This study has been planned with two specific objectives: to study the agricultural practices of small and marginal-holding farmers in a drought-prone region and to examine the opportunities for suitable interventions to mitigate the impacts of droughts. The study is based on primary survey conducted in Banda district of Bundelkhand region, Uttar Pradesh, India.

Empirical survey was done in eight different blocks of a drought-prone region of India using structured questionnaire. The questionnaire was pre-tested with a group of 12 farmers during a workshop through a pilot survey conducted during April 2017. Stratified sampling based on land holdings (small farmers having 1–2 ha of land, medium farmers having 2.1–5 ha of land and large farmers having more than 5 ha of land) and irrigation types (canals and tube wells) were utilised in different blocks of the district for selecting farmers in the surveyed villages.

Findings suggest that due to various reasons like change in climatic conditions, frequent crop failure, crop diseases and high cost of production, farmers have adopted certain crops which are not suited to their agro-climatic conditions. The paper recommends that farmer’s school or “on-farm training school” have to be initiated to integrate farmers’ traditional knowledge with modern knowledge systems with amalgamation of STI tools.

Uttar Pradesh is divided into nine agro-climatic zones; however, this study is focused on Bundelkhand and may be region specific, though the findings are important for other drought-prone areas.

The paper links the existing agricultural practices and further linking them with farmers’ socio-economic, cultural and environmental settings. Only 17.5 per cent of respondents owned any agricultural equipment due to high cost of farm tools, difficulty in taking equipements on rental basis and lack of sharing tools among the farmers.

This paper targets small and marginal farmers in the drought-prone region of India who face the dual shock of climate impacts and poverty. Adoption of modern agricultural practices and use of technology is inadequate which is further hampered by ignorance of such practices, high costs and impracticality in the case of small land holdings.

This paper has advocated for well-organised, efficient and result-oriented STI system to mitigate the adverse impacts of drought-prone agriculture. Farming community in drough-prone areas needs adequate investment, local-specific technology, better quality inputs, real-time information on weather and most importantly latest know-how for sustaining commercial and cost effective sustainable agriculture.

The purpose of this paper is to optimize the preventive maintenance based on fault tree (FT)–Bayesian network (BN) reliability for sugarcane harvester machine as a fundamental machine in the sugar industry that must be operated failure-free during a given period of the harvesting process.

To determine machine reliability using the algorithm developed based on mapping FTs into BNs, the common failures of 168 machines were carefully investigated over 12 years (2007–2019). This algorithm was then used to predict the harvester reliability, estimate delays by machine downtimes and their consequences on white sugar production losses that can be reduced by optimizing the preventive maintenance scheduling.

The optimization of preventive maintenance scheduling based on estimated reliability of sugarcane harvester machines using FT–BNs can reduce white sugar production losses, the operation-stopping breakdowns and the downtime costs as a crisis that the sugar industry is facing.

Machine reliability gradually decreased by 31.08% approximately, which resulted in a working time loss of 26% in the 2018–19 harvesting season. In total, the white sugar losses were estimated as 204.17 tons for burnt canes and 114.53 tons for green canes. The losses of the 2018–19 harvesting season have been 11.85 times greater than the first harvesting season. The proposed maintenance interval for critical subsystems including the hydraulic, chopper and base cutter were obtained as 1.815, 1.12 and 1.05 h, respectively.

In this study, a new approach was used to optimize preventive maintenance to reduce delays and their implications upon costs in time, inconvenience and white sugar losses. The FT–BNs algorithm was found a useful tool that was over-fitting of failure occurrence probabilities data for sugarcane harvester machine.

The purpose of this paper is to analyze how farmers are reducing vulnerability of rain‐fed agriculture to drought through indigenous knowledge systems (IKS) in the Atankwidi basin, north‐eastern Ghana.

This paper draws on combined qualitative and quantitative research methods and data. First, the paper draws on qualitative data generated from in‐depth interviews and focus group discussions from purposively sampled farmers in the Atankwidi basin. It also draws on a survey conducted on 131 systematically and randomly sampled households in three communities of the basin, namely Yua, Pungu and Mirigu.

The results show that farmers are planting multiple indigenous drought resilient crop varieties and employing different rounds of seeding and or staggering planting between multiple farms. They are also applying indigenous forms of organic manure, checking soil erosion through grass strips and stone terracing and adopting paddy farming for improving soil and water conservation towards enhancing plant adaptation to drought. The paper therefore, asserts that through conscientious effort, farmers are reducing vulnerability of rain‐fed agriculture to drought through indigenous knowledge systems of drought risk management.

The paper recommends that capacity for managing vulnerability to drought at the local level, including the Atankwidi basin, can be enhanced by incorporating IKS into District Development Planning (DDP) and giving priority to the strategic role of IKS in climate change adaptation planning.

This paper fulfills a need for researching the relevance of IKS for reducing vulnerability of rain‐fed agriculture to drought in particular, and enhancing adaptation to climate change in general in the quest for promoting Endogenous Development (ED) in Africa.

The purpose of this paper is to analyze smallholder farmers’ perceptions of climate change and its adverse effects, identify major adaptation strategies used by farmers and analyze the factors that influence the choice of adaptation strategy by smallholder farmers in eastern Ethiopia.

The study was based on a cross-sectional survey of 296 sample households selected from three districts in east Ethiopia. Data were collected with the aid of a semi-structured questionnaire and review of literature, documents and databases.

The study provides empirical evidence that majority of farmers in the study area are aware of climate change patterns and their adverse effect on income, food security, diversity, forest resources, food prices and crop and livestock diseases. In response to these adverse effects, major adaptation strategies used by farmers include cultivating different crops, planting different crop varieties, changing planting dates, use of soil and water conservation techniques, conservation agriculture practices and engaging in non-farm income activities. Choice of adaptation strategies are influenced by gender of household head, household size, farm size, distance from market and number of farm plots.

The study suggests that developing more effective climate change adaptation strategies need support from the government. Such an effort needs provision of the necessary resources such as credit, information and extension services on climate change adaptation strategies and technologies, and investing in climate smart and resilient projects.

The study adopts multivariate probit model that models farmers’ simultaneous adaptation choice behavior which has been rarely addressed by previous researches.