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This study aims to investigate the landscape of family-based organic farm businesses in the Kashmir Valley, India, analyzing the factors that either facilitate or hinder their adoption. The research also intends to uncover sources of information seeking. The primary purpose is to provide qualitative evidence to address existing knowledge gaps and offer insights for promoting sustainable farm practices in the region.

The research employs a qualitative approach, drawing on focus group interviews. The study thoroughly explores the background and relevant literature, utilizing a comprehensive research framework. Data is collected from family based farmers engaged in organic farming practices in the Kashmir Valley. The data is analyzed using content analysis ensuring a robust and thorough exploration of the subject matter.

This study reveals a notable transition in the agricultural landscape of the Kashmir Valley, showcasing a widespread adoption of organic farming on considerable land. The study reveals that key facilitators for organic farming among family-based farms are farm productivity, entrepreneurial intention, governance, environmental consciousness, and health concerns. The exchange of information, both through formal and informal channels, is found to be a crucial factor influencing the adoption of organic farming. The study also unveiled significant inhibitors that hinder the adoption of organic farming on commercial scales, including on-farm challenges such as difficulties in acquiring inputs and facing reduced yields, market-related concerns, and a lack of support and assistance from government agencies.

This research contributes significantly to the existing literature by advancing the understanding of organic farm business and agri-entrepreneurship. It unveils key factors that either support or hinder family-based organic farms, identifying crucial information sources and presenting valuable insights for policymakers. Furthermore, this study provides practical guidance for overcoming obstacles, enhancing infrastructure, and translating identified facilitators into successful agri-ventures in the Kashmir region.

The purpose of this paper is to carry out an empirical investigation of the role of various factors such as economics, social, marketing, cultivation and government in adoption of organic farming. Further, this study examines the factors that influence farmers’ choice of adopting organic farming, based on their demographic classification such as education level, farm size, farming experiences and land ownership of the organic farmers.

To address the research objectives, the primary data were collected with the help of a structured questionnaire from 200 respondents. In this study, the QUAL–QUAN sequence of mixed method design was used. Four focus groups were conducted to identify the factors of organic farming adoption. Further, multinomial regression analysis was applied to analyze the differential impact of these factors in relation to the farmers’ demographic classification.

The study found five major factors that affect the adoption of organic farming (economic, social, marketing, cultivation, government policy) in India. The study also observed that marketing and government policy factors were most crucial in influencing all types of farmers irrespective of their educational level. The farmers with more farming experience were more concerned about social factors. Similarly, the farmers using lease farms were found to be concerned about the economic viability of organic farming.

This study suggests that without government support, the adoption of organic agriculture seems to be a highly challenging task in a situation, where majority of the farmers fall under the small and marginal category. Hence, to promote organic farming in a developing country like India, the government has to invest more in schemes where farmers should get exclusive training and support to strengthen their intention behind the adoption of the organic farming.

Based on the collective insights from the studies, the different stakeholders with interest in organic agriculture may frame necessary strategies to promote organic farming.

The purpose of this paper is to examine the relationship between US farmers’ adoption of organic farming and direct marketing, both of which are increasingly important practices in the US agricultural and food sector. In addition, the effects of the two practices on farm income are evaluated.

The research uses the Agricultural and Resource Management Survey from the US Department of Agriculture. Farmers’ adoption of the two practices is modeled with a simultaneous linear probability model, which accounts for the possible linkage between the adoption of the two practices in farmers’ decision-making process. Farm income is modeled with a linear regression model, accounting for the possible endogeneity of the adoption of the two practices.

The main finding is that farmers’ adoption of organic farming decreases their probability of adopting direct marketing, whereas the reverse effect is insignificant. In addition, organic farming helps to improve gross farm income, whereas the effect of direct marketing is insignificant.

These results facilitate better coordination among numerous government programs aimed at promoting organic farming or direct marketing in the US.

This paper extends previous literature by specifically accounting for the possible linkage between farmers’ adoption of organic farming and direct marketing, and demonstrates that farmers do not make the decision to adopt one particular practice in isolation.

The purpose of this study is to investigate factors that affect smallholders' adoption of organic rice production in the Hai Lang district of Vietnam.

This study employed a cross-sectional survey research design. A sample size of 215 was drawn from a total of 455 smallholders. Descriptive and inferential statistics, including a binary logistic regression, were used to analyse the data.

The study concludes that younger female smallholders participating in credit/training programs and community-based organisations, who have a high level of education, a large household size and more experience in rice farming, and who grow mixed crops, have a greater tendency to adopt organic rice production.

A combination of demographic, socio-economic and institutional characteristics of rice smallholders should be considered when promoting organic rice farming practices by smallholders and when choosing organic agricultural development strategies for smallholders in developing countries.

This research provides significant understanding of the determinants of organic rice adoption by smallholder farmers and highlights factors that need to be considered when designing policies to enhance the uptake of organic farming in developing countries.

Sustainable agriculture implies the ability of agro‐ecosystems to remain productive in the long‐term. It is not easy to point out unambiguously whether or not current production systems meet this sustainability demand. A priori thinking would suggest that organic crops are environmentally favourable, but may ignore the effect of reduced productivity, which shifts the potential impact to other parts of the food provision system. The purpose of this paper is to assess the ecological sustainability of conventional and organic leek production by means of life cycle assessment (LCA).

A cradle‐to‐farm gate LCA is applied, based on real farm data from two research centres. For a consistent comparison, two functional units (FU) were defined: 1ha and 1 kg of leek production.

Assessed on an area basis, organic farming shows a more favourable environmental profile. These overall benefits are strongly reduced when the lower yields are taken into account. Related to organic farming it is therefore important that solutions are found to substantially increase the yields without increasing the environmental burden. Related to conventional farming, important potential for environmental improvements are in optimising the farm nutrient flows, reducing pesticide use and increasing its self‐supporting capacity.

The research is a cradle‐to‐farm gate LCA, future research can be expanded to comprise all phases from cradle‐to‐grave to get an idea of the total sustainability of our present food consumption patterns. The research is also limited to the case of leek production. Future research can apply the methodology to other crops.

To date, there is still lack of clear evidence of the added value of organic farming compared to conventional farming on environmental basis. Few studies have compared organic and conventional food production by means of LCA. This paper addresses these issues.

The new programming period of 2021–2027 of the European Union (EU) Common Agricultural Policy requires reconsidering the policy measures. In the new period, the European Commission is to allow each member state (MS) developing eco-schemes to support and/or incentivise farmers to observe agricultural practices beneficial for the climate and the environment beyond their mandatory requirements. The purpose of this paper is to compare the performance of organic and conventional family farms.

Organic farming under the organic farming measure of the Rural Development Programme is one of the most widely applied sustainable farming practices in the EU as well as in Lithuania. By assessing the ex post economic impact of the organic farming measure on farm performance indicators, the authors seek to reveal possibilities and obstacles for the implementation of sustainable farming practices. A counterfactual ex post impact assessment method – propensity score matching (PSM) analysis – was used to evaluate ex post economic impact of the organic farming measure on the performance of farming indicators.

The application of the PSM allowed assessing both the effectiveness of the implemented measure and possibilities for applying this measure in the future. The research has revealed that organic farming is less profitable and the gap between farm income in organic and conventional farms has increased during the period of 2007–2013.

The most comprehensive economic information about the farm activities from the Farm Accountancy Data Network (FADN) was used for the ex post economic impact evaluation of the organic farming measure in Lithuania. The matched groups of Lithuanian family farms (organic and conventional) were compared. The results of the research provide a new knowledge about the effectiveness of the organic farming measure in Lithuania and suggest the ways of their improvement in the future. The results can also be generalised to other countries with similar agricultural structure.

This article intends to explore critical factors that affect the adoption of organic farming in emerging economies. The authors respond to the calls from policymakers, non-government organizations, business firms and scholars to improve the farmers' awareness of the negative impact of synthetic chemical pesticides, phosphorus, potassium fertilizers and mineral nitrogen used in traditional farming.

Through self-administered survey questionnaires, responses were obtained from 397 farmers (conventional) regarding organic farming adoption in Haryana (India). The survey responses were collected between October 2022 and December 2022. The authors apply the “partial least squares structural equation modeling” (PLS-SEM) to test the framed hypotheses.

The present article demonstrates six critical determinants of organic farming adoption, i.e. behavioral, cultivation, economic, governmental, marketing, and social factors. These six factors drive 71.0% (R²) variation in organic farming adoption. Governmental factors have a positive but insignificant influence on organic farming adoption. Interestingly, the impact of behavioral and cultivation factors is crucial per path coefficient values.

For the first time, the authors conducted a study on organic farming adoption in Haryana that lies in its context-specific implementation, utilization of localized knowledge and expertise, regional policy support, agricultural diversification and community participation. Future research can build upon by adding agriculture scientists to the study to respond to the cost, quality of the crop and impact of socio-economic policies as moderators/mediators on adoption decisions.

Teaching objective 1: To flourish and explore the current business model to get socioeconomic benefits from organic farming compared to conventional farming; in the context of hill farming. Teaching objective 2: To explore and design innovative entrepreneurship opportunities in the field of organic farming and how these opportunities can be seized by using managerial skills. Teaching objective 3: To analyze the economic benefits of organic farming compared to conventional farming.

Manj Gaon is a small village in the Tehri Garhwal district of Uttarakhand. This village serves as the Uttarakhand Organic Commodity Board’s training facility. Organic farming was the primary source of income for farmers in the late 1970s, but the Green Revolution in India had a negative impact on agriculture, the environment and the economy of the country. After the Green Revolution, the agriculture sector was completely dominated by conventional farming, and the use of chemical fertilizers, pesticides and insecticides affected the village to some extent. But farmers like Bhagchand Ramola paved the way for other farmers to grow and shine through organic farming. The organic farming model developed by Ramola was helping farmers and society in several aspects, such as the economy, health and the environment. A self-developed organic farming model had been generating fair revenue for the farmers and uplifting their socioeconomic status as compared to conventional farming. Complete adoption of organic farming in the village requires an analysis in terms of sustainable economic growth. However, there was a certain dilemma that was stifling the growth of the newly adopted business model because farmers were dependent only on Japanese buyers and input providers. So, there was a huge need to tie up with other consulates across the country. Secondly, expanding a business model requires more input and output in terms of manpower and revenue, so persuading conventional farmers to adopt the organic farming model was quite a challenge for Ramola.

The case can be taught to the MBA-level students.

Teaching notes are available for educators only.

CSS 11: Strategy.

This study investigates the economic outcomes of organic farming controlling for the four major aspects of a cropping system, including climate, genotypes, management and soil. Considering possible variations in treatment responses, this study also presents empirical evidence of heterogeneous treatment effects associated with spatial agglomeration or farm covariates.

Rice farm households data taken from the 2015 Agriculture Census is merged with township-level seasonal weather data, crop suitability index and average income per capita in Taiwan. To address the selection bias problem, the authors apply the Probit-2SLS instrumental variable (IV) method in the binary treatment model under homogeneous and heterogeneous assumptions.

It is found that organic farming leads to a significantly positive effect on rice farms' economic performances in terms of cost reduction and profit growth. This positive treatment effect is more sizable with spatial agglomeration. Furthermore, the treatment effect of organic farming is found to vary with the farm characteristics such as farmland area and the number of hired workers.

Two important implications for the promotion of sustainable agri-food production are inferred: (1) establishing organic agriculture specialized zones may benefit rural development; (2) providing economic incentives to small farms to expand their scale may be a more effective policy means to promote sustainable agri-food production.

The findings in this study complement the body of knowledge by drawing insights from the agriculture census data and providing profound evidence of the heterogeneous outcomes of organic farming due to spatial clustering and farm covariates.

This paper aims to perform a meta‐analysis of the literature comparing the environmental impacts of organic and conventional farming and linking these to differences in management practises. The studied environmental impacts are related to land use efficiency, organic matter content in the soil, nitrate and phosphate leaching to the water system, greenhouse gas emissions and biodiversity.

The theoretic framework uses the driver‐state‐response framework and literature data were analysed using meta‐analysis methodology. Meta‐analysis is the statistical analysis of multiple study results. Data were obtained by screening peer reviewed literature.

From the paper's meta‐analysis it can conclude that soils in organic farming systems have on average a higher content of organic matter. It can also conclude that organic farming contributes positively to agro‐biodiversity (breeds used by the farmers) and natural biodiversity (wild life). Concerning the impact of the organic farming system on nitrate and phosphorous leaching and greenhouse gas emissions the result of the analysis is not that straightforward. When expressed per production area organic farming scores better than conventional farming for these items. However, given the lower land use efficiency of organic farming in developed countries, this positive effect expressed per unit product is less pronounced or not present at all.

Given the recent growth of organic farming and the general perception that organic farming is more environment friendly than its conventional counterpart, it is interesting to explore whether it meets the alleged benefits. By combining several studies in one analysis, the technique of meta‐analysis is powerful and may allow the generation of more nuanced findings and the generalisation of those findings.