Browsing by Author "Kundu, Ranjan Kumar"

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Factors Affecting The Technical Efficiency Of Boro Rice Producers Of Northern Rigion In Bangladesh
(University of Rajshahi, Rajshahi, 2021) Kundu, Ranjan Kumar; Karmokar, Provash Kumar
Because of its significant contribution to the development of various economic-related activities and self-sufficiency in food production, agricultural production needs to increase under the existing challenges so far. Despite increased rice production, it is evident that among all varieties, Boro rice is contributing the largest share of Bangladesh as well. The satisfactory contribution in the production of Boro rice has been unearthed for the Northern regions of the country in this respect. As therefore, investigation of determinants of production risk and efficiency and /or inefficiency may have an important role based on the stochastic production framework. According to the objectives, an attempt has been made to examine the contributory impact of the assigned input variables using frontier modelling. Firm-level primary data of 350 Boro farmers have collected from Rangpur, Dinajpur, Bogura, and Natore districts using an appropriate sampling technique and choice of functional form, distributional assumptions of models. Together with different preliminary statistics related to the research, technical efficiency has computed using Stochastic Frontier Modelling for selected Upazilas and districts. Small unit efficiencies have been computed for the eight Upazilas. The Farmers' Performance Indicators on the integrated management in the efficiency ground has been investigated under the Half-Normal assumption of errors of districts as well as the pooled data.
Investigating the Trend and Impact of Some Variables on HYV Boro Rice Production in Northern Region of Bangladesh
(University of Rajshahi, 2011) Kundu, Ranjan Kumar; Karmokar, Provash Kumar
Boro rice is playing a significant role in the total rice production of Bangladesh. High yielding variety (HYV) Boro rice is grown enormously in the Northern region of Bangladesh. On the basis of per hector production, three HYV Boro rice producing districts have been selected by Simple Random Sampling for the present study. The selected three districts are Rajshahi, Rangpur and Dinajpur. To fulfill the objectives of the present study Trend Analysis and Factor Analysis have been anticipated. Suitability of commonly used trend models like Linear, Compound and Quadratics trend models for the selected districts were checked by Mann-Kendall and Spearman non parametric statistical tests and parameters of these models were estimated by OLS technique. The DW statistics are obtained by OLS technique shows the evidence of autocorrelation in the data sets. To overcome this problem we have used CochraneOrcutt technique to estimate of parameter of the trend models. The Cochrane-Orcutt technique minimizes the autocorrelation problem. The JB test shows the normality assumption of errors for all the models. Although the R2 and adjusted R2 have increased for all the models it is remarkable of about 17%-18% increasing of these values for Rajshahi districts in both the Linear and Compound models. The HYV Boro productions of the selected districts have been forecasted up to year 2021 for three trend models using the data from 1971 to 2003 by Cochrane-Orcutt technique and the results are given in detailed in Chapter Three. It is seen from the result that the Compound Trend model performs better maintaining the growth rate 1.009 for Rajshahi, 1.012 for Rangpur, 1.008 for Dinapur and its forecasting performance is the best among the trend models. Production of HYV Boro rice may depend on several climatic and non climatic variables like, rainfall, temperature, wind speed, humidity, cloud coverage, CO2 emission, fertilizer use and tractor use. In this study, we are also interested to identify the factors whose impacts are influential to the HYV Boro production of the selected districts of northern region of Bangladesh. Factor analysis, a data reduction technique have been used to identify the impact such variables on HYV Boro rice production in northern region of Bangladesh. Our analysis has identified five influential factors for the HYV Boro rice production for each of the districts. Therefore it is shown that the selected factors account for 82.33% of the total variance for Rajshahi district, 75. 71 % of the total variance for Rangpur district and 71.57% of the total variance for Dinajpur districts. The findings of this study convey a message to the agriculturist, concerned authorities and policy makers that keep watching of climatic factors and proper handling of other relevant factors in Boro rice production of northern region that would be significant in food supplying in this region and enhance the food security of Bangladesh.