scholarly journals Farm Size, Cropping Pattern and Productivity Variation in Punjab: The Analysis of Mansa and Jalandhar Districts

2013 ◽  
Vol 3 (2) ◽  
pp. 22-37
Author(s):  
Jagdeep Singh ◽  
Hanuman Singh Yadav

The present paper analyzes the trend and patterns of farm size, productivity and cropping pattern in districts of Mansa and Jalandhar. The results show that medium and large holdings are increasing in number over the time in both the districts. Increase in size of holdings coupled with other factors like increase in productivity in limited number of crops, minimum support price for wheat and rice as well as higher possibility of use of modern technology in wheat and rice cultivation has lead to wheat rice cycle. The other crops like cotton, maize, potato etc. are more popular among marginal and small farmers. It may be due to easy availability of family labour. Overall, the study points towards specialization in the cropping pattern, stagnation in productivity growth and increasing size of operational holdings.

Author(s):  
Masood Ahmed

The rural population percentage decreased from 82.7% to 68.9% in 2011, even though there is an increase in the total rural population, which stands at 833.7 million, and the rural population were now more than three times compared to the population seven decades ago. Another observation is the decrease in cultivators percentage from 71.9% to 45.1 %, while agriculture labour increase from 28.1% to 54.9% during the same period. Despite the increase in irrigated land and net area sown, the average holdings' size under the farmers is continuously decreasing, and it requires a study to look into the reasons. The research probes the role of Minimum Support Price (MSP) in supporting farmers and measuring market price above MSP needed to help marginal and small farmers remain above the poverty level. It explains how different market rates above MSP have a different impact on different categories of agriculture landholding. The study works on developing a common model that relates the impact of MSP on different farmers categories. The model can be generalized to all crops and regions and useful in designing policies that focus on uplifting the income of agricultural farmers.


2021 ◽  
Author(s):  
Prashant Chintapalli ◽  
Christopher S. Tang

In many developing countries, crop minimum support price (MSP) is a subsidy scheme to (i) improve farmer welfare by safeguarding farmers’ incomes against vagaries in crop price and (ii) improve consumer surplus by ensuring sufficient crop production. Among different mechanisms to operationalize an MSP scheme, we focus on credit-based MSPs under which the government credits farmers should the prevailing market price be below the prespecified MSP. By accounting for the implementation cost of the MSP, we examine the effectiveness of the MSP in terms of net benefit (i.e., farmer’s surplus minus the implementation cost) and net social value (i.e., sum of farmer’s and consumer’s surpluses minus the implementation cost) in a market that consists of risk-averse farmers with heterogeneous production costs. Also, farmers face two types of uncertainties: (1) market and (2) production yield uncertainty. We find that a credit-based MSP can induce crop production, which is intuitive. However, we find some more interesting results: (i) offering a higher MSP may not improve farmer’s surplus, (ii) the net benefit of an MSP can be negative—the cost of offering an MSP can exceed the farmer’s surplus, and (iii) there exists an MSP that maximizes the net social value. We extend our single-crop model to the case of two crops to capture the intercrop MSP interaction. We show that when one crop is more rewarding but riskier than the other crop, then it is sufficient to offer an appropriate MSP for one of the two crops while offering no MSP to the other crop. This paper was accepted by Vishal Gaur, operations management.


In the present study optimal solutions were found for net farm returns using Linear Programming model on the sample farmers of Bidar District.The LINGO 17.0 package was used to get the solutions. The sample was of 120 small and large farmers collected from 15 villages from five Tehsils. From each village eight farmers comprising small and large farmers were selected. A total of EIGHT models were developed. They were classified as small farmers S1, S2, S3, S4 and large farmers L1, L2, L3, and L4. The results were compared with existing cropping pattern of small and large farmers. The model S1, small farmers with existing technology and restricted capital registered an increase of in net returns per hectare by 27%, S2 small farmer with existing technology and relaxed capital, returns increased by 34%, S3 small farmer with recommended technology and restricted capital, returns increased by 55%, S4 small farmer with recommended technology and relaxed capital, the returns increased by 65% per hectare. Similarly the net returns per hectare in case of large farmers L1, L2, L3, L4 increased by 47%, 65%, 49%, 76% respectively. The impact of credit on net farm returns in small farmers was Rs: 8322 and the same in large farmers was Rs: 615276. The impact of credit on employment was seen in large farmers in terms of tractor power which rose to 256% followed by man days labour which was increased to 224 percent. It was noted that credit played an important role in augmenting income of farmers; the credit required was directly related to farm size while credit on income inversely related to farm size


Author(s):  
Sinki Barman ◽  
Nivedita Deka ◽  
Pallavi Deka

Farm mechanization is considered as important pathways of agricultural development. A farming system cannot sustain with the traditional system. The mechanization of farm is also inductive to the diversification of the cropping pattern as it enables farmer to raise a second crop or multi crop ultimately raising cropping intensity. The study was conducted in Central Brahmaputra Valley and Upper Brahmaputra Valley Zone of Assam, India. The objective of the study is to examine the effect of mechanization on cropping pattern and cropping intensity .Primary data were collected with the help of specially design pretested schedule by interview method. Thus, a sample of 240 farmers had been taken for the study. Cropping intensity was higher in case of all mechanize farm than bullock operated farm not only individual size groups but all farm size taken together. Tractor Hired Farm had the highest cropping intensity (162.21 per cent) followed by Power Tiller Hired Farm (161.49 per cent) and Tractor Operated Farm (152.00) per cent) and Power Tiller Operated Farm (154.62 per cent), respectively. In case Bullock Operated Farm  cropping intensity showed positive relationship with farm size but reverse was the in case of each  mechanized farm. Mechanized farm had higher cropping intensity which was confirmed by regression analysis that in all the categories of farm had positive significant relationship with cropping intensity but farm size and cropping intensity had highly significant inverse relationship. Cropping pattern of different categories of mechanized farms slightly shifted to high valued crops while in case of Bullock Operated Farm it was remain sali rice biased as usual. Mechanization showed an impact on increasing cropping intensities in the study area where Tractor Ownership Farm by hiring appeared to be the most important form of mechanization as it depicted a very high significant relationship with the cropping intensity in the study area. Cooperative management of farm machinery, financing of second-hand tractors for small farmers should be given for strengthening mechanization amongst the small farmers in the study area.


2009 ◽  
Vol 18 (3-4) ◽  
pp. 283-301 ◽  
Author(s):  
S. MYYRÄ ◽  
P. PIHAMAA ◽  
T. SIPILÄINEN

In the long term, productivity and especially productivity growth are necessary conditions for the survival of farms and the food industry in Finland. The natural handicap and small farm size are challenges, but farmers are further challenged by the decoupling of supports and their transformation into direct income payments. Additionally, farmers’ actions are limited by some institutional settings that substantially reduce incentives to improve productivity. Technical progress was found to drive the increase in productivity on grain farms in Finland. The scale had only a moderate effect and for the whole study period (1976–2006) the effect was close to zero. Total factor productivity (TFP) increased, depending on the model, by 0.6–1.7% per year. The results demonstrated that the increase in productivity was hindered by the policy changes introduced in 1995. The cumulative increase in TFP over the study period was at the same level as the measured yearly changes in TFP. The results highlight the nature of grain farming in Finland as well as the challenges in simultaneously taking into account the general trend and yearly variation in TFP.;


Author(s):  
Krishna Kumar ◽  
Syed H. Mazhar

Minimum Support Price fixed by the government to protect the farmers against excessive fall in price during bumper production years. Questions, are being raised about the efficacy and effectiveness of the instruments of price policy specifically the Minimum Support Prices. Under these circumstances it assumes greater significance to understand the impact caused by the minimum support prices on small farmers with socio-economic scale. Total of 60 beneficiaries and 60 non-beneficiaries was selected in Teghara block of Bihar district by purposive sampling method. The primary data were collected with the help of interview schedule and the responses were recorded, classified and tabulated and appropriate statistical tools were employed. The results showed that higher percentage of small farmers were middle aged, attained middle school level education and had low income, the beneficiaries who had primary school level education with high farm experience, present near to the market and contacted extension agents had been sought to have more impacted.


Author(s):  
Neha Gupta

Abstract This paper reviews rice procurement operations of Government of India from the standpoints of cost of procurement as well as effectiveness in supporting farmers’ incomes. The two channels in use for procuring rice till 2015, were custom milling of rice and levy. In the first, the government bought paddy directly from farmers at the minimum support price (MSP) and got it milled from private millers; while in the second, it purchased rice from private millers at a pre-announced levy price thus providing indirect price support to farmers. Secondary data reveal that levy, despite implying lower cost of procurement was discriminated against till about a decade back and eventually abolished in 2015 in favor of custom milling, better trusted to provide minimum price support. We analyze data from auctions of paddy from a year when levy was still important to investigate its impact on farmers’ revenues. We use semi-nonparametric estimates of millers’ values to simulate farmers’ expected revenues and find these to be rather close to the MSP; a closer analysis shows that bidder competition is critical to this result. Finally, we use our estimates to quantify the impact of change in levy price on farmers’ revenues and use this to discuss ways to revive the levy channel.


KIRYOKU ◽  
2020 ◽  
Vol 4 (1) ◽  
pp. 7-17
Author(s):  
Yuliani Rahmah

The purpose of this research is to analyze the intrinsic elements found in the short story Kagami Jigoku by Edogawa Rampo. By using structural methods the analysis process  find out the intrinsic elements which builds  the Kagami Jikoku short story. As a result it is known that the Kagami Jikoku is a short story with a mystery theme as the hallmark of Rampo as its author. The characteristic of this short story can be seen from the theme which raised the unusual obsession problem of the main characters. With the first person point of view which tells in unusual way from the other short stories, the regression plot in Kagami Jikoku is able to tell the unique phenomenon of Japanese society and its modern technology through elements of place, time and socio-cultural aspects of Japanese society in the modern era


2016 ◽  
Vol 27 (3) ◽  
pp. 339-345
Author(s):  
L Akter ◽  
MJ Hoque ◽  
MA Kashem ◽  
TD Nath

The purposes of the study were to determine the extent of awareness of the fishermen in managing fish sanctuary and to find out the relationships between the extent of awareness of the fishermen and their selected characteristics. Data were collected from 90 purposively selected fishermen (out of 105) from Ghosherpara Union of Melandah Upazila Under Jamalpur District. A pre-tested and structured interview schedule was used to collect data from the fishermen during the period of 19 March to 30 March, 2013. The findings indicated that majority of the respondents (74.5 percent) had medium awareness and 25.5 percent having high awareness. Out of ten selected characteristics, the fishermen’s age, level of education, fish culture experience, communication exposure and agricultural knowledge on fish sanctuary showed significant positive relationships with their extent of awareness in managing fish sanctuary. On the other hand, household size, farm size, annual family income, training exposure and credit received had no significant relationships with their extent of awareness in managing fish sanctuary. So, to increase awareness of the fishermen in managing sanctuary, proper guidance and strengthening fisheries extension service should be done by fisheries extension workers/ upazila fisheries officer through arranging different activities including training, field visit or using different communication media etc.Progressive Agriculture 27 (3): 339-345, 2016


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