scholarly journals Economics of pears production in Himachal Pradesh a study of Jubbal and Kotkhai block of district Shimla

2020 ◽  
Vol 11 (2) ◽  
pp. 248-254
Author(s):  
Sikander Kumar ◽  
Vishal Chauhan
Keyword(s):  
Crop Production ◽  
Resource Efficiency ◽  
Farm Size ◽  
Input Output ◽  
Small Farm ◽  
Farm Production ◽  
Resource Endowment ◽  
Human Labour ◽  
Factor Inputs ◽  
Douglas Production Function

Farm production is the result of the transformation of various resources such as human labour, bullock power, mechanical power, water for irrigation, seeds, manures and fertilizers, insecticides and pesticides and cultivation practices, etc. As these all factor inputs are costly and scarce, the case for their efficient use is self-evident. Moreover, farm resource endowment and the extent of their use on farms has a direct bearing in determining the overall level of crop production. Therefore, it is necessary to study the extent and magnitude of various farm endowments prevailing on farms in different size classes in the study area.The study was conducted at Jubbal and Kotkhai block of district Shimla from where sample of 200 farmers of different holdings were collected to understand the input-output relationship for pears production and was analyized with the Cobb-Douglas production function. From the study we tried to understand the resource efficiency by calculating the elasticity co-efficient of different inputs (labour man-days, land, manures and fertilizers, seeds and others) with regards tooutput and, therefore, determining the economics of scales of fruit.We have found that land, labour, manures and fertilizersinputs are influencing the pears production across all farm size however, small farm size resource efficiency is good as compare to other farm holdings.

scholarly journals Socio-Economic Factors Affecting Agricultural Production and Income in Bangladesh

2021 ◽  
Vol 2 (2) ◽  
pp. 56
Author(s):  
Susmita Das ◽  
Paritosh Mondal
Keyword(s):  
Agricultural Production ◽  
Information Dissemination ◽  
Target Population ◽  
Gender Disparity ◽  
Farm Size ◽  
Small Farm ◽  
Structured Interviews ◽  
Factors Affecting ◽  
Explanatory Variables ◽  
Farm Production

The study assessed some factors that determine agricultural production and income in Bangladesh. The factors that were addressed in the study were land, labour, capital, ethnicity, gender etc. It aimed to analyze the socio-economic characteristics of the farmers in Bangladesh, to investigate the level of agricultural production activities and to identify the agricultural production problems in Bangladesh. The target population was the farmers of eight divisions in Bangladesh.  The data were obtained from structured questionnaires, semi-structured interviews and FGD. Multiple linear regression of model fourteen explanatory variables was used to analyze the characteristics of the factors mentioned above in context of farm production and income. The result of data analysis showed that the variables such as gender, age, years of schooling, service area, operational farm size, cow-shed, electricity, radio, mobile phone, television, computer, bicycle, motorcycle etc. affect farmers’ production and income. The research also found gender parity and small farm holding in farming. There should be provision of effective agricultural information dissemination services by using ICT tools in farming. Special emphasis should be given to eliminate gender disparity and resolve small farm holding problem to ensure farm production and income generation.

scholarly journals Farmers’ Attitude Towards Using Agro-Chemicals in Rice Production: A Case in Laxmipur District of Bangladesh

2016 ◽  
Vol 13 (2) ◽  
pp. 105-112
Author(s):  
Shaikh Shamim Hasan ◽  
Mithun Kumar Ghosh ◽  
Md. Shamsul Arefin ◽  
Sabina Sultana
Keyword(s):  
Random Sampling ◽  
Crop Production ◽  
Rice Field ◽  
Sampling Technique ◽  
Simple Random Sampling ◽  
Farm Size ◽  
Annual Income ◽  
Small Farm ◽  
Level Of Education ◽  
Primary Level

The study was conducted to determine the farmers’ attitude towards using agro-chemicals in rice field in Laxmipur district of Bangladesh. Data were collected from seventy farmers following simple random sampling technique, complied and interpreted as per objectives of the study. Most of the farmers were middle aged, had primary level of education with small farm size, medium extension media contact with an average family annual income of about 1350 USD. About 87% of the farmers had low to medium knowledge on use of agro-chemicals in rice cultivation. About 74% of the farmers had moderately favorable attitude towards using agro-chemicals. Family annual income, extension media contact and knowledge on agro-chemical were the most important factors that affect the attitude of the farmers towards using agro-chemicals in crop production. Therefore it is recommended that arrangement of need based training with more extension contact for the farmers will be helpful to improve the behavior of using agro-chemicals.The Agriculturists 2015; 13(2) 105-112

scholarly journals Labour Usage and Productivity in Temperate Fruits Production in Himachal Pradesh A Study of District Shimla

2020 ◽  
Author(s):  
C. Vishal ◽  
K. Sikander
Keyword(s):  
Crop Production ◽  
Labour Productivity ◽  
Great Influence ◽  
Field Investigation ◽  
Fruit Production ◽  
Himachal Pradesh ◽  
Farm Size ◽  
Small Farm ◽  
Apple Production ◽  
Farming Households

Background: Labour being a principle Factor of production in the Agriculture and has great influence in the crop production, therefore, a study was conducted to understand the labour Man-days and its efficiency in the production of different temperate fruits. From the study, we will try to found labour Man-days used in different farm activities under different temperate fruits and its role in the production of the different fruits. Methods: In this study field investigation was conducted during the Year 2018-2019 and data of 200 farming households of different farm size were collected from 10 different panchayats of Jubbal and kotkhai Block of district Shimla. Result: From our study, it was discovered that most labour Man-days utilization per hectare can be seen in Apple production across all farm size as compare to other fruits production. As far as labour productivity per kg is concern it has been observed that it high in apple production as compare other fruit production, however, when we look it from farm size point small farm performance looks better in most of the crops.

Significance of Experience, Farm Size, Quantity of Propagules and Location f or Seaweed Farmers in the Divided Island of Sebatik

2018 ◽  
Vol 9 (9) ◽  
pp. 825-832
Author(s):  
James M. Alin ◽  
◽  
Datu Razali Datu Eranza ◽  
Arsiah Bahron ◽  
◽  
...  
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Production Function ◽  
Weather Conditions ◽  
Education Level ◽  
Farm Size ◽  
Total Production ◽  
Explanatory Factors ◽  
Douglas Production Function

Seaweed-Kappaphycus-Euchema Cottonii and Denticulum species was first cultivated at Sabah side of Sebatik in 2009. By November 2014, sixty one Sabahan seaweed farmers cultivated 122 ha or 3,050 long lines. Thirty Sabahan seaweed farmers in Kampung Pendekar (3.2 m.t dried) and 31 in Burst Point (12.5 m.t dried) produced 16 metric tonnes of dried seaweed contributed 31% to Tawau’s total production (51 m.t). The remaining 69% were from farmers in Cowie Bay that separates Sebatik from municipality of Tawau. Indonesian in Desa Setabu, Sebatik started in 2008. However, the number of Indonesian seaweed farmers, their cultivated areas and production (as well as quality) in Sebatik increased many times higher and faster than the Sabah side of Sebatik. In 2009 more than 1,401 households in Kabupaten Nunukan (including Sebatik) cultivated over 700 ha and have produced 55,098.95 and 116, 73 m.t dried seaweed in 2010 and 2011 respectively. There is a divergence in productions from farming the sea off the same island under similar weather conditions. Which of the eight explanatory factors were affecting production of seaweeds in Sebatik? Using Cobb Douglas production function, Multiple Regression analysis was conducted on 100 samples (50 Sabahan and 50 Indonesian). Results; Variable significant at α = 0.05% are Experience in farming whereas Farm size; Quantity of propagules and Location — Dummy are the variables significant at α 0.01%. Not significant are variables Fuel; Age; Number of family members involved in farming and Education level.

scholarly journals On-farm trees are a safety net for the poorest households rather than a major contributor to food security in Rwanda

Food Security ◽  
2021 ◽  
Author(s):  
Alain Ndoli ◽  
Athanase Mukuralinda ◽  
Antonius G. T. Schut ◽  
Miyuki Iiyama ◽  
Jean Damascene Ndayambaje ◽  
...  
Keyword(s):  
Food Security ◽  
Household Income ◽  
Crop Production ◽  
Scale Up ◽  
Safety Net ◽  
Farm Size ◽  
Income Sources ◽  
Agroforestry Practice ◽  
On Farm ◽  
Agroforestry Practices

AbstractThe world is challenged to meet the food demand of a growing population, especially in developing countries. Given the ambitious plans to scale up agroforestry in Africa, an improved understanding of the effect of agroforestry practices on the already challenged food security of rural households is crucial. The present study was undertaken to assess how on-farm trees impacted food security in addition to other household income sources in Rwanda. In each of the six agroecologies of Rwanda, a stratified sampling procedure was used where two administrative cells (4th formal administrative level) were selected in which households were randomly selected for interviews. A survey including 399 farmers was conducted and farmers were grouped in three types of agroforestry practice (i) low practitioners (LAP) represented by the first tertile, (ii) medium practitioners (MAP) represented by the second tertile and (iii) high practitioners (HAP) represented by the third tertile of households in terms of tree number. Asset values, household income sources, crop production, farm size, crop yield, and food security (food energy needs) were quantified among the types of agroforestry practice. A larger proportion of HAP households had access to adequate quantity and diversity of food when compared with MAP and LAP households. Food security probability was higher for households with more resources, including land, trees and livestock, coinciding with an increased crop and livestock income. We found no difference in asset endowment among types of agroforestry practices, while farmers in agroecologies with smaller farms (0.42 ha to 0.66 ha) had more on-farm trees (212 to 358 trees per household) than farms in agroecologies with larger farms (0.96 ha to 1.23 ha) which had 49 to 129 trees per household, probably due to differences in biophysical conditions. A positive association between tree density and food security was found in two out of six agroecologies. The proportion of income that came from tree products was high (> 20%) for a small fraction of farmers (12%), with the more food insecure households relying more on income from tree products than households with better food security status. Thus, tree income can be percieved as a “safety net” for the poorest households.

scholarly journals Economics of autonomous equipment for arable farms

2021 ◽  
Author(s):  
James Lowenberg-DeBoer ◽  
Kit Franklin ◽  
Karl Behrendt ◽  
Richard Godwin
Keyword(s):  
Precision Agriculture ◽  
Environmental Performance ◽  
Crop Production ◽  
Practical Experience ◽  
Production Costs ◽  
Farm Size ◽  
Medium Size ◽  
Economic Implications ◽  
The United Kingdom ◽  
Crop Agriculture

AbstractBy collecting more data at a higher resolution and by creating the capacity to implement detailed crop management, autonomous crop equipment has the potential to revolutionise precision agriculture (PA), but unless farmers find autonomous equipment profitable it is unlikely to be widely adopted. The objective of this study was to identify the potential economic implications of autonomous crop equipment for arable agriculture using a grain-oilseed farm in the United Kingdom as an example. The study is possible because the Hands Free Hectare (HFH) demonstration project at Harper Adams University has produced grain with autonomous equipment since 2017. That practical experience showed the technical feasibility of autonomous grain production and provides parameters for farm-level linear programming (LP) to estimate farm management opportunities when autonomous equipment is available. The study shows that arable crop production with autonomous equipment is technically and economically feasible, allowing medium size farms to approach minimum per unit production cost levels. The ability to achieve minimum production costs at relatively modest farm size means that the pressure to “get big or get out” will diminish. Costs of production that are internationally competitive will mean reduced need for government subsidies and greater independence for farmers. The ability of autonomous equipment to achieve minimum production costs even on small, irregularly shaped fields will improve environmental performance of crop agriculture by reducing pressure to remove hedges, fell infield trees and enlarge fields.

scholarly journals Socio-economic Factors Influencing Profitability of Rice Seed Production in Selected Areas of Bangladesh

2014 ◽  
Vol 12 (1) ◽  
pp. 33-40
Author(s):  
MZ Hoque ◽  
ME Haque
Keyword(s):  
Seed Production ◽  
Crop Production ◽  
Information Sources ◽  
Economic Benefits ◽  
Influential Factor ◽  
Farm Size ◽  
Economic Factors ◽  
Rice Seed ◽  
The Government ◽  
Socio Economic Factors

Seed is the foundation of agriculture for enhancing crop production. The economic benefits from the improved quality seed production help scaling up the livelihood standard as well as nutritional status of the common people. The study was carried out in three districts namely Jamalpur, Gazipur and Manikganj to identify the socio-economic dimensions of the government seed production project beneficiaries persuading profitability of rice seed production. Data were collected through intensive survey of randomly selected 211 sample respondents using pre-tested interview schedule. To examine the profitability of rice seed production, the gross margin and cost benefit analysis were carried out. Co-efficient of correlation and multiple stepwise regressions were employed to find out the determinants of profitability in rice seed production. Rice seed production was not found to be so profitable as investment in rice seed cultivation can produce average BCR of only up to 1.44, where highest BCR was found in Jamalpur (1.58) compared to Manikganj (1.48) and Gazipur (1.26). The results revealed that socio-economic factors have a profound influence on profitability of rice seed production as these factors combined explained 54.9 percent variation. Farm size, contact with information sources, knowledge on quality rice production and age of the respondents were identified as significant contributors in profitability of rice seed production, whereas contact with information sources was the single most influential factor (24.6%). Therefore, steps may be taken so that the seed-growers could directly be linked with more information sources dealing with seed production and marketing through the government initiatives to boost up the production as well as to ensure appropriate price of the farmers’ home grown seed. DOI: http://dx.doi.org/10.3329/agric.v12i1.19578 The Agriculturists 2014; 12(1) 33-40

scholarly journals Resource Productivity in the Punjab's Agriculture

1976 ◽  
Vol 15 (2) ◽  
pp. 115-133 ◽  
Author(s):  
Abdul Salam
Keyword(s):  
Agricultural Sector ◽  
Function Analysis ◽  
Basmati Rice ◽  
Resource Productivity ◽  
Intelligent Decision Making ◽  
Farm Production ◽  
Intelligent Decision ◽  
Short Run ◽  
Factor Inputs ◽  
Farm Inputs

Concerted efforts are being made at micro as well as macro levels in Pakistan to increase farm production and raise productivity in the agricultural sector. For diagnostic purposes and for formulation of general guidelines for an intelligent decision making, at micro and macro levels, it is important to identify and quantify the contribution of various factor inputs, especially of those factors whose supplies can be more easily changed in the short run. Satisfactory quantitative estimates of resource productivity in the pro¬duction of major crops in Pakistan are generally not available. Except for a few studies carried out on wheat [2], not much is known about the contribution of various factor inputs, such as farm labour, fertilizers, etc., to the final output. The main objective of this paper is to estimate and analyse the resource pro¬ductivity of various factor inputs obtaining in the Punjab's agriculture. The estimates are derived from production function analysis performed on the major crops of the province, i.e. Mexi-Pak and local wheat, Basmati rice, IRRI rice, Jhonna rice, maize (corn), cotton and sugarcane. The marginal product¬ivities of various farm inputs in the production of various crops are computed from the estimated production functions.

scholarly journals In what direction is agricultural specialization headed in Central and Eastern Europe? (2005-2016)

2020 ◽  
Author(s):  
Csaba Forgacs ◽  
Keyword(s):  
Growth Rate ◽  
Labour Productivity ◽  
Farm Size ◽  
Farm Production ◽  
Input Side ◽  
Leading Position ◽  
Total Productivity ◽  
Ranking Order ◽  
Eastern European Countries ◽  
Cattle Rearing

The paper deals with the main directions of specialization in Central and Eastern European Countries’ (CEECs, EU10) agriculture after the EU’s Eastward Enlargement. We analyse and compare growth and productivity advantages of specialized farm types by physical size (in hectare) in EU10 member-states to the EU10/27/15 average based on EUROSTAT data in the period of 2005-2016. We focus on exploring the main directions of specialization using such indicators as the number of specialized farms, land (Utilized Agricultural Area, UAA) and labour (Agricultural Working Unit, AWU) use on the input side, average farm size by land and labour use as well as area-, labour-, and total productivity on the output side. We conclude that the directions of specialization in farming in EU10 were based on the traditional farm production structure making the latter better able to adjust and take advantages of Common Agricultural Policy. Concerning production growth rate, the three leading specialization types of CEECs’ farms were: (i) cattle rearing and fattening, (ii) cereals, oilseed and protein crops and (iii) fruits and citrus fruits. These three specialization types of farms – in the same ranking order - also increased land (UAA) and labour (AWU) use well above the average. Specialized cereals farms and cattle rearing and fattening farms were also ranked in top three by number. Both cereals and fruits specialized farms have leading position in growth rate of land and labour use and also are in top three in growth rate of land area and total farm productivity. Cereals and fruits specialized farms also more than doubled labour productivity during the first decade after the EU’s Eastward enlargement but did not rank in the top three in this category.

scholarly journals Three Decades of Changes in Brazilian Municipalities and Their Food Production Systems

Land ◽  
2020 ◽  
Vol 9 (11) ◽  
pp. 422
Author(s):  
Ramon Felipe Bicudo da Silva ◽  
Mateus Batistella ◽  
James D. A. Millington ◽  
Emilio Moran ◽  
Luiz A. Martinelli ◽  
...  
Keyword(s):  
Food Production ◽  
Crop Production ◽  
Census Data ◽  
Production Systems ◽  
Statistical Tests ◽  
Spatial Scales ◽  
Farm Size ◽  
Socioeconomic Outcomes ◽  
Economic Output ◽  
Trade Offs

Agricultural systems are heterogeneous across temporal and spatial scales. Although much research has investigated farm size and economic output, the synergies and trade-offs across various agricultural and socioeconomic variables are unclear. This study applies a GIS-based approach to official Brazilian census data (Agricultural Censuses of 1995, 2006, and 2017) and surveys at the municipality level to (i) evaluate changes in the average soybean farm size across the country and (ii) compare agricultural and socioeconomic outcomes (i.e., soybean yield, agricultural production value, crop production diversity, and rural labor employment) relative to the average soybean farm size. Statistical tests (e.g., Kruskal–Wallis tests and Spearman’s correlation) were used to analyze variable outcomes in different classes of farm sizes and respective Agricultural Censuses. We found that agricultural and socioeconomic outcomes are spatially correlated with soybean farm size class. Therefore, based on the concepts of trade-offs and synergies, we show that municipalities with large soybean farm sizes had larger trade-offs (e.g., larger farm size was associated with lower crop diversity), while small and medium ones manifest greater synergies. These patterns are particularly strong for analysis using the Agricultural Census of 2017. Trade-off/synergy analysis across space and time is key for supporting long-term strategies aiming at alleviating unemployment and providing sustainable food production, essential to achieve the UN Sustainable Development Goals.

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