Technical-and-allocative inefficiency index of Indian sugarcane farms- A primal system approach

Felix, K. Thomas; Kumar, P. Naveen; Arivarasan, S.

doi:10.1016/j.indic.2021.100133

Cited by 7 publications

(5 citation statements)

References 17 publications

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“…The results are in line with the results of Asif Ali Abro (2012). The farmers who are having less landholding are risk taker comparing to the farmers have large landholding (Calle et al, 2022;Felix et al, 2021). The small land holding farmers are diversifying their cultivation to minimize the risk may be a reason for the negative coefficient value.…”

Section: Resultssupporting

confidence: 83%

An economic analysis of crop diversification and dynamics of cropping pattern in Karnataka, India

Felix,

Ramappa

2023

Humanit Soc Sci Commun

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The extent and nature of crop diversification and dynamics of cropping pattern in Karnataka state has been analyzed using secondary data collected from different publish sources of Directorate of Economics and Statistics (DES), Bangalore, Karnataka from a period of 1998–99 to 2020–21 (i.e., 23 years). Composite Entropy Index (CEI), double log model and Markov chain analysis were applied to assess the determinants of crop diversification and dynamics of cropping pattern in Karnataka. Results of C.E.I indicates that Kodagu, Dakshina kannada, Yadgir, Udupi and Shivamogga has low crop diversification. Although Karnataka’s crop diversification values show a positive trend but its coefficient value is almost zero. It shows that there is a threat for Karnataka’s crop diversification. The transition probability matrix diagram indicated that although cereals and millet groups occupied a larger share in terms of area under crops, it has a negative net gain in the probability of area retention. Double log model results revealed that the variable like MSP of coarse cereal, percentage of gross irrigated area to net irrigated area, credit inflow in to agricultural sector by the scheduled commercial bank and length of national highways are influencing the crop diversification positively. Therefore, the establishment of fundamental infrastructure, such as reliable irrigation water supply, access to credit, and well-developed transportation networks, is a crucial prerequisite for creating favorable conditions to promote agricultural development and crop diversification. These parameters have been identified as influential factors that shape the nature and extent of crop diversification. By addressing these infrastructure needs, it becomes possible to foster an environment conducive to agricultural growth and facilitate the process of diversification.

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Section: Resultssupporting

confidence: 83%

An economic analysis of crop diversification and dynamics of cropping pattern in Karnataka, India

Felix,

Ramappa

2023

Humanit Soc Sci Commun

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“…Each farmer uses different types and quantities of chemical fertilizers, so this study was categorized as chemical fertilizers. In line with previous studies by Felix et al (2021), 1% increase in fertilizer use will increase sugarcane production by 0.187% in India. Zainuddin and Wibowo (2018) showed that adding 1% chemical/inorganic fertilizer could increase sugarcane production by 0.056% at PTPN X Kediri Region.…”

Section: Respondent Characteristicssupporting

confidence: 90%

Sugarcane Production Efficiency: A Case Study on PTPN X Partner Farmers

Rosidah¹,

Irham

Masyhuri

et al. 2023

jma

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The low production and productivity of sugarcane is a problem for the sugar industry in Indonesia, while the demand for sugar increases yearly. One of the efforts to increase sugarcane productivity is improving the efficiency of sugarcane farming. Appropriate farming efficiency and identification of inefficient resources can increase farming productivity. PTPN X, as a company engaged in the sugarcane plantation and sugar industry, obtains most raw materials from partner farmers. This study aimed 1) to determine the technical, allocative, and economic efficiency of sugarcane farming and 2) to analyze the managerial characteristics of farmers that affect the technical inefficiency of sugarcane farming. This study uses the stochastic frontier Cobb-Douglas production function approach and the dual frontier cost function. The results show that the average level of sugarcane farming's technical, allocative, and economic efficiency are 0.762; 1.315; and 0.976, respectively. The average level shows that sugarcane farming has been technical, allocative, and economically efficient. Farmers' managerial characteristic that affects technical inefficiency is the farmer's education level. The study suggests reducing the effect of inefficiency by taking higher education. Farmers with a low technical efficiency value can adopt the use of inputs by farmers with a higher value.

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“…The mechanization index in sugarcane cultivation of semi-medium farmers was about The results show the mechanization index of marginal farmers in sugarcane cultivation was minimal in selected regions, this may be due to small land holdings farmers preferring animal and human labours rather than mechanical power. As per the previous and present studies the mechanization index was increased like some of researchers mentioned in their works Felix et al [11], Ashraf et al [12].…”

Section: Mechanization Index In Sugarcane Cultivation Based On Type O...supporting

confidence: 86%

Assessment of Mechanization Index of Sugarcane Cultivation in Mandya District, Karnataka, India

T N,

Ramappa

et al. 2024

ACRI

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Farm mechanization is the development and introduction of mechanized assistance of all forms and at any level of sophistication in agricultural production to improve the efficiency of human time and labour. Mandya District is one of the most agriculturally prosperous districts in Karnataka. Sugarcane is the major commercial crop in the district. Farmers used to grow in all seasons. This study was carried out to assess the mechanization index in sugarcane cultivation in selected regions. Respondents from the selected region were selected randomly and collected information regarding types of machinery availability and usage in sugarcane cultivation. The overall mechanization index found 50.5 per cent in sugarcane cultivation in selected regions. The findings indicate that the process of laying seed beds had the highest mechanisation index (98.46 per cent), followed by irrigation (97.37 per cent) and weeding/spraying operations (57.81 per cent). Semi medium farmers found high mechanization index followed by medium, small and marginal farmers. The mechanization index was not uniform in selected region for all operations in sugarcane cultivation. Seedbed preparation found higher mechanization index followed by irrigation and weeding operation and zero per cent mechanization index for planting and harvesting operations of sugarcane. The results clearly depicted the importance of the farm mechanization in realizing additional profit to the farmers.

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Technical-and-allocative inefficiency index of Indian sugarcane farms- A primal system approach

Cited by 7 publications

References 17 publications

An economic analysis of crop diversification and dynamics of cropping pattern in Karnataka, India

An economic analysis of crop diversification and dynamics of cropping pattern in Karnataka, India

Sugarcane Production Efficiency: A Case Study on PTPN X Partner Farmers

Assessment of Mechanization Index of Sugarcane Cultivation in Mandya District, Karnataka, India

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