Farmers’ Willingness to Continue Landscape Integrated Pest Management Programs in Central Java and East Java Indonesia

Abstract

Integrated Pest Management (LIPM) is an innovation of Integrated Pest Management program to achieve effective sustainable agriculture in a wide area. This program has been implemented in some regions as the Indonesia's food storages including Central Java, East Java and West Java. Research on the application of LIPM is generally related to economic aspects. This study examines farmers' willingness to continue LIPM and the factors that influence it. The research was conducted by surveying 109 farmers in Banyumas and Bojonegoro regencies who are still performing the program and the analysis was done by multinomial logit model. Based on the results of the research, it is revealed that the level of the willingness was 44.65 %, meaning that farmers are still hesitant to continue the LIPM. Age, LIPM farmers and friendship predicted the willingness to continue LIPM. In other words, it is indicated that farmers will become more willing to continue LIPM Program if they believe that the program has a positive outcome. Nevertheless, the constraints in implementing the LIPM program, attitudes towards property rights, the contribution of farming income and farming experience make farmers less willing to continue the program due to the fact that the more experienced the farmers, especially those who rented out the land and had high farming income, the more impossible for them to avoid applying pesticides for fear that their rice farming will be at risk.

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“…Description: P = Proportion of farmers' level of willingness X = The number of farmers who are willing to accept and continue the CF program (inhabitant) Y = Total Farmer Respondents (inhabitant) These scores were interpreted by the following criteria (Anwar, 2015): Very low = 0 -20% Low = 21 -40% High enough = 41 -60% High = 61 -80% Very high = 81 -100% The factors of farmers' willingness to continue the CF program were analyzed by using Ordinary Least Square (OLS). The model used based on Perwitasari et al, (2018) is as follows:…”

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