Determinants of rice farmers’ intention to use pesticides in eastern India: Application of an extended version of the planned behavior theory

Pandi, G. Guru Pirasanna; Gowda, B. J.; Sendhil, R; Adak, Totan; Raghu, S.; Patil, Naveenkumar; Annamalai, Muthukkaruppan; Rath, Prakash Chandra; Kumar, Gak; Damalas, Christos A.

doi:10.1016/j.spc.2020.12.036

Cited by 50 publications

(41 citation statements)

References 36 publications

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“…Several prior research have similarly found that the most significant role has been played by PBC (TPB construct) or PEOU (TAM construct) in influencing farmers' decisions to embrace a new technology (Bagheri et al, 2019;Borges et al, 2014;Daxini et al, 2019;Pappa et al, 2018;Saengavut & Jirasatthumb, 2021). Whereas, in other studies, PBC did not appear as the dominant effect on farmers' willingness to adopt such kind of behavior related to technology and system in agricultural research (Govindharaj et al, 2021;Rezaei et al, 2019;Savari & Gharechaee, 2020;Senger et al, 2017). Other TPB and TAM constructs that show a significant relative intention to adopt geographical indication practices are attitude toward behavior and perceived economic benefit with path coefficients 0.181 and 0.165 respectively.…”

Section: Discussion and Implicationmentioning

confidence: 85%

“…A study conducted by Nyang'au, Mohamed, Mango, Makate, and Wangeci (2021) shows that knowledge is one of the determinants that influence the adoption of climate smart agricultural practice in Kenya along with other factors farmers' perception and attitude. Other studies (Bagheri, Bondori, Allahyari, & Damalas, 2019;Govindharaj et al, 2021;Tama et al, 2021;Tran et al, 2018) had shown that knowledge significantly affects behavioral intention.…”

Section: The Effect Of Socio-demographic Characteristics Of Farmers O...mentioning

confidence: 95%

“…According to Xu and Zhang (2021) the relationship between knowledge, attitude and behavior usage can be described as the following framework where knowledge is the basic understanding of concept, attitude is the motivation and behavior usage is the goal. Prior study such as Govindharaj et al (2021) has J o u r n a l P r e -p r o o f shown that the variable of knowledge significantly affects the variable of SN, PBC, and behavioral intention. In some cases, some studies have shown that knowledge can determine farmers' attitude and influence behavior indirectly (Cao, Xu, Chen, & Wang, 2009;Meijer, Catacutan, Ajayi, Sileshi, & Nieuwenhuis, 2014;Tran, Nguyen, & Kervyn, 2018).…”

Section: The Effect Of Socio-demographic Characteristics Of Farmers O...mentioning

confidence: 98%

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Farmers’ willingness to adopt geographical indication practice in Indonesia: A psycho behavioral analysis

Laksono

Irham

Mulyo

et al. 2022

Heliyon

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Section: Discussion and Implicationmentioning

confidence: 85%

Section: The Effect Of Socio-demographic Characteristics Of Farmers O...mentioning

confidence: 95%

Section: The Effect Of Socio-demographic Characteristics Of Farmers O...mentioning

confidence: 98%

See 1 more Smart Citation

Farmers’ willingness to adopt geographical indication practice in Indonesia: A psycho behavioral analysis

Laksono

Irham

Mulyo

et al. 2022

Heliyon

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“…(2) In livelihood dependence, the proportion of tea income significantly promotes the application of pesticides by farmers, and the farmers with a higher proportion of tea income are more likely to apply pesticides. Farmers are rational people and have strong risk aversion preferences [80,81]. To reduce the loss of crop diseases and insect pests in order to obtain a stable income, farmers tend to use pesticides.…”

Section: Core Variablesmentioning

confidence: 99%

Effects of Market Incentives and Livelihood Dependence on Farmers’ Multi-Stage Pesticide Application Behavior—A Case Study of Four Provinces in China

Ding

Sarkar

et al. 2022

IJERPH

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Improvement in pesticide application and efficiency structure has long been recognized as having great significance in reducing pollution, ensuring food safety, and promoting green agricultural development. Based on theoretical analysis, using the survey data of 766 farmers in key tea areas in Shaanxi, Sichuan, Zhejiang, and Anhui provinces in China, the study empirically analyzes the influence of market incentives and livelihood dependence on farmers’ multi-stage pesticide application behavior. More specifically, the study employed ordered probit analysis to craft its findings. The dependent variable of this study is the multi-stage pesticide application problem of farmers, and the core independent variables are market incentives and livelihood dependence, and the judgment is based on the core variable coefficients of the econometric model of farmers at each stage. The study found the following: (i) Market incentives significantly prompted some farmers to give up synthetic pesticide application and farmers tend to choose green pesticides in the type of pesticide application. (ii) Livelihood dependence meant that the proportion of tea income significantly prompts farmers to apply pesticides, and also creates a tendency for farmers to choose green and low-toxic pesticides in the type of pesticide application. The planting period tends to have a moderate impact on applying green and low-toxic pesticides. (iii) The interaction term of market incentives and the proportion of tea income has no significant impact on farmers’ multi-stage pesticide application behavior. The interaction term of market incentives and planting years has impacted negatively on whether farmers apply pesticides, and has no significant impact on farmers’ choice of pesticide application types, but makes farmers increase the amount of green and low-toxic pesticides. (iv) The education level of the household head significantly promotes farmers to choose green and low-toxic pesticides. Seemingly, the brand effect of pesticides significantly encourages farmers to choose green and low-toxic pesticides. In external support, technical training significantly encourages farmers to choose green and low-toxic pesticides. Furthermore, better infrastructure and local market conditions significantly encourage farmers to reduce the use of conventional pesticides.

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“…The country witnessed a number of epidemics due to these biotic stresses. The level of incidence, quantum of damage has changed over the years [14]. These pests and diseases showed a concomitant shifts from their minor status to major status/intensity depending on the region, varieties grown, environmental conditions and cultivation practices [15].…”

Section: Introductionmentioning

confidence: 99%

Emerging Minor Diseases of Rice in India: Losses and Management Strategies

Shivappa¹,

Navadagi²,

Baite³

et al. 2022

Integrative Advances in Rice Research

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Rice (Oryza sativa L) being one of the imperative food crops of the word contributes immensely to the food and nutritional security of India. The cultivation of rice is changed over the decades from a simple cultivation practices to the advanced cultivation to increase yield. Increased in rice yields especially after 1960s is mainly due to the introduction of high yielding semi-dwarf varieties which requires more inputs like chemical fertilizers, water and other resources. As a result, India achieved self sufficiency in rice and currently producing more than 115 MT of rice to meet country’s demand. Now India is exporting rice to other nations and earning foreign returns. With the change in rice cultivation practices, problems also aroused side by side. A number of biotic and abiotic stresses emerged as major constraints for rice cultivation in diverse agro-climatic conditions and growing ecologies. Diseases are the major biotic constraints to rice which can reduce the yields by 20–100% based on severity. Major diseases like blast, brown spot, bacterial blight, sheath blight and tungro still causing more damage and new minor diseases like bakanae, false smut, grain discoloration, early seedling blight, narrow brown spot, sheath rot have emerged as major problems. The losses due to these diseases may 1–100% based on the growing conditions, varietal susceptibility etc.., At present no significant source of resistance available for any of the above emerging diseases. But looking into the severity of these diseases, it is very important to address them by following integrated management practices like cultural, mechanical, biological and finally chemical control. But more emphasis has to be given to screen gerrmplasm against these diseases and identify stable source of resistance. Finally utilizing these sources in resistance breeding program by employing molecular breeding tools like marker assisted selection (MAS), marker assisted back cross breeding (MABB), gene pyramiding and transgenic tools. The present chapter discusses the importance of these emerging minor diseases of rice, the losses and possible management measures including resistance breeding.

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Determinants of rice farmers’ intention to use pesticides in eastern India: Application of an extended version of the planned behavior theory

Cited by 50 publications

References 36 publications

Farmers’ willingness to adopt geographical indication practice in Indonesia: A psycho behavioral analysis

Farmers’ willingness to adopt geographical indication practice in Indonesia: A psycho behavioral analysis

Effects of Market Incentives and Livelihood Dependence on Farmers’ Multi-Stage Pesticide Application Behavior—A Case Study of Four Provinces in China

Emerging Minor Diseases of Rice in India: Losses and Management Strategies

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