ERN: Agricultural Economics (Topic)最新文献_第2页

Available Time to Plant and Harvest Peanuts 种植和收获花生的有效时间

ERN: Agricultural Economics (Topic) Pub Date : 2018-11-17 DOI: 10.2139/ssrn.3089856

T. Griffin, J. Ward

{"title":"Available Time to Plant and Harvest Peanuts","authors":"T. Griffin, J. Ward","doi":"10.2139/ssrn.3089856","DOIUrl":"https://doi.org/10.2139/ssrn.3089856","url":null,"abstract":"Peanut farmers’ acreage allocation and equipment management decisions remain heavily dependent upon weather uncertainty. The number of days suitable for fieldwork (DSFW) were evaluated during key production times for 11 peanut-producing states. The objectives of this analysis were to define most active dates for peanut planting and harvest field activities, to estimate DSFW occurring within the most active date ranges for each peanut producing state, and to analyze these DSFW data for trends over time. Crop progress data reflects when producers are most likely to engage in field work not necessarily the most agronomically advantageous time. Weekly USDA NASS data from 1995 to 2018 for planting and from 1995 to 2017 for harvest were analyzed to develop a probability distribution. Comparing the middle of the distribution, the 50th percentile, shows that North Carolina had the fewest days available for planting (16.4 days) while Arkansas has the most days for planting (34.0 days). Georgia, for comparison, had 23.0 days for planting. For harvest at the 50th percentile, Arkansas has one of the fewest days available for harvest (23.0 days) and South Carolina has the most available (40.0 days). Georgia had 34.0 days available for harvest. These results are useful for farmers, practitioners, and researchers for decision making including determining the number of acres that can be planted and/or harvested in a given year based on weather risk. Sizing equipment to complete field work only for the maximum DSFW leaves no contingency for poor field conditions or equipment failure. These results are important for farm decision makers to make machinery selection and acreage allocation decisions. As an added benefit of this paper, the R programming code used to access and develop graphs have been made available for readers to use in their own research.","PeriodicalId":111133,"journal":{"name":"ERN: Agricultural Economics (Topic)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121869173","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Unit Costs and Income From Selected Products in 2017 – Research Results in the Agrokoszty System 2017年选定产品的单位成本和收入——Agrokoszty系统的研究成果

ERN: Agricultural Economics (Topic) Pub Date : 2018-06-18 DOI: 10.30858/ZER/109928

A. Skarżyńska

{"title":"Unit Costs and Income From Selected Products in 2017 – Research Results in the Agrokoszty System","authors":"A. Skarżyńska","doi":"10.30858/ZER/109928","DOIUrl":"https://doi.org/10.30858/ZER/109928","url":null,"abstract":"In 2013, the research covered: winter wheat, winter rye, spring barley, winter rape and live pigs. Results of activities were analysed at farms running small-, medium- and large-scale production. Although the production volume, recognised as small, medium and large, is of relative nature, the research results provide a premise for the selection of production scale able to ensure a fairly high production efficiency. Analysis in groups of farms, selected according to production scale, showed that production profitability (ratio of production value to direct costs and overheads in total) at large scale was always higher than at small scale. The advantage of large scale was: for winter wheat – 6.4 pp, winter rye – 3.6 pp, spring barley – 6.9 pp, winter rape – 11.3 pp, and live pigs – 16.7 pp. The positive effect of scale impact on economic results is evident. Above all, labour-intensity of production dropped along with an increase in scale, which had a positive impact on the level of income per 1 hour of own labour and, consequently, its degree of coverage. In case of crop production activity, farmer’s labour inputs were covered in all scale ranges, but at significantly higher level at large and medium scale than at small scale. In 2013, production of live pigs in most of the farms from the research sample was unprofitable, which means that revenues failed to fully cover the production costs. However, in each group there were farms where live pigs were profitable, the highest share of such farms was noted at large scale of pigs for fattening – 47%, against 17% at medium scale and 9% at small scale of production.","PeriodicalId":111133,"journal":{"name":"ERN: Agricultural Economics (Topic)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115432648","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Soaring Global Food Commodity Prices: Evidence of Long Memory Process 飞涨的全球食品价格:长期记忆过程的证据

ERN: Agricultural Economics (Topic) Pub Date : 2017-10-06 DOI: 10.2139/ssrn.3049049

I. Onour, B. Sergi

引用次数: 0

Forecasting of Common Paddy Prices in India 印度普通稻谷价格预测

ERN: Agricultural Economics (Topic) Pub Date : 2017-06-30 DOI: 10.2139/ssrn.3064080

A. Darekar, A. Reddy

引用次数: 18

Land Use Projections for Southern Non-Black-Earth Regions of Russia: Coping with Uncertainty 俄罗斯南部非黑土地区的土地利用预测:应对不确定性

ERN: Agricultural Economics (Topic) Pub Date : 2017-06-21 DOI: 10.2139/ssrn.3240669

N. Svetlov

引用次数: 3

Predicting Market Price of Soybean in Major India Studies Through ARIMA Model 基于ARIMA模型的印度主要大豆市场价格预测研究

ERN: Agricultural Economics (Topic) Pub Date : 2017-06-16 DOI: 10.2139/ssrn.3089035

A. Darekar, A. Reddy

{"title":"Predicting Market Price of Soybean in Major India Studies Through ARIMA Model","authors":"A. Darekar, A. Reddy","doi":"10.2139/ssrn.3089035","DOIUrl":"https://doi.org/10.2139/ssrn.3089035","url":null,"abstract":"Soybean (Glycine max) is as an oilseed crop with inadvertent importance. It is a good source of protein both for the human beings and livestock including pieces. The production and demand for soybean have been many traits increased in India during the last decade resolving in its winder adoption among farmers in Madhya Pradesh, Maharashtra, Rajasthan, Karnataka and Gujarat. This necessitates the need for reliable information on futures prices for soybean. Therefore, the present study was undertaken by collecting monthly prices of soybean in major soybean states of India for a period of 11 years (January 2006 to December 2016) by using ARIMA (Box-Jenkins model) so as to predict the future prices of soybean.The performance of fitted model was examined by computing various measures of goodness of fit viz., AIC, SBC and MAPE. ARIMA was the most representative model for the price forecast of soybean among states and the country as a while. The developed model can be used as a policy instrument for the farmers, processors and traders. The harvest of crop during September to October. The production and market prices of soybean, would be ruling in the range of INR 2,6000-3,6000 per tonne in kharif harvesting season, 2017-18. Average price of soybean ruled at INR 2, 6930 per tonne, compared to its MSP at INR 2,7750 per tonne during the last year. INR may recover for the coming kharif season. Since India is the largest importer of edible oils, there in a need to encourage soybean cultivation where ever climate is suitable for its cultivation.","PeriodicalId":111133,"journal":{"name":"ERN: Agricultural Economics (Topic)","volume":"185 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132613322","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

Ward Thomas and Sons, Inc 沃德·托马斯父子公司

ERN: Agricultural Economics (Topic) Pub Date : 2017-06-01 DOI: 10.2139/ssrn.2975066

R. Carraway

{"title":"Ward Thomas and Sons, Inc","authors":"R. Carraway","doi":"10.2139/ssrn.2975066","DOIUrl":"https://doi.org/10.2139/ssrn.2975066","url":null,"abstract":"An MBA student attempts to use linear programming to help his family reduce feeding costs on their dairy farm. The objectives of the case include practice at formulating linear-programming problems (in particular, deciding what level of detail is appropriate) and recognizing that insights gained from building linear-programming models often exceed the original intent. \u0000Excerpt \u0000UVA-QA-0378 \u0000Rev. Feb., 4, 2013 \u0000WARD THOMAS AND SONS, INC. \u0000Another beautiful August day in 1987 was drawing to a close as Brian Thomas reviewed the data he had collected on milk production at Ward Thomas and Sons, Inc. (WT&S). Caught in the profitability squeeze affecting the dairy industry nationwide, WT&S had suffered through several years of minimal or negative profit from its milking operations. Thomas, an MBA student, was anxious to see if he could help his family by using his recently acquired knowledge of linear programming to reduce the cost of feeding the dairy herd, thereby improving the farm's competitive position. \u0000The Dairy Industry \u0000The decade of the 1980s had not been kind to the dairy industry as it struggled through a period of declining profitability. Although farmers had become more productive (average annual milk production per cow had increased from 7,761 lb. in 1940 to 15,528 lb. in 1987), people had become more health conscious. As a result, per capita consumption of milk and milk-related products had remained constant or, in some cases, declined. In addition, the price of dairy products had not kept pace with inflation, and farm profit margins had narrowed considerably. Federal milk-subsidy programs had been cut back, lowering the level of payments to farmers. In the mid-1980s, the Department of Agriculture had even implemented a temporary program that paid farmers to sell entire herds and discontinue dairy farming in an effort to lower the total supply of milk. \u0000. . .","PeriodicalId":111133,"journal":{"name":"ERN: Agricultural Economics (Topic)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123581586","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Stumbling Agriculture in Bihar: Linkages with Institutional Mechanism and Public Investment 比哈尔邦步履蹒跚的农业:与体制机制和公共投资的联系

ERN: Agricultural Economics (Topic) Pub Date : 2017-05-17 DOI: 10.2139/ssrn.3054330

Ranjit Kumar

{"title":"Stumbling Agriculture in Bihar: Linkages with Institutional Mechanism and Public Investment","authors":"Ranjit Kumar","doi":"10.2139/ssrn.3054330","DOIUrl":"https://doi.org/10.2139/ssrn.3054330","url":null,"abstract":"The agriculture in Bihar is still grappled with low investment and low input agriculture and therefore besides low productivity, growth in production and productivity of most of the major crops are quite low as compared to other developed states. Though agriculture contributes more than 40 per cent to state domestic product, but it is not attracting public investment in consonance with the demand and output growth. Therefore, successful development of this economically fragile region, having more than 35 per cent population below poverty line, requires new and improved approaches, particularly for agricultural intensification. The presently study is an attempt to examine the status and trend of utilization and expansion various critical agricultural inputs in Bihar in comparison to other developed states. The production function analysis has also been done for the period of 1990-2003, in value of output from agriculture has been considered as dependent variable, while gross cropped area, gross irrigated area, fertilizer consumption, institutional agricultural credit and public expenditure on agriculture were taken as explanatory variables. The results raise the tantalizing possibility that better emphasis on irrigation expansion, use of higher dose of chemical fertilizer backed with greater public investment in agriculture in these fragile regions could actually offer a “win-win” strategy for addressing productivity and poverty problems from the region.","PeriodicalId":111133,"journal":{"name":"ERN: Agricultural Economics (Topic)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121159595","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimal Tariffs with Smuggling: A Spatial Analysis of Nigerian Rice Policy Options 最优关税与走私:尼日利亚大米政策选择的空间分析

ERN: Agricultural Economics (Topic) Pub Date : 2015-12-25 DOI: 10.2139/ssrn.2741910

Michael E. Johnson, P. Dorosh

引用次数: 24

Recurrence Plots of Geolocated Time Series from Satellite Maps of NOAA STAR Vegetation Health Index NOAA STAR植被健康指数卫星地图定位时间序列的递推图

ERN: Agricultural Economics (Topic) Pub Date : 2015-12-01 DOI: 10.18483/IJSCI.877

Amelia Carolina Sparavigna, R. Marazzato

引用次数: 5