International journal of statistics and applied mathematics最新文献_第6页

Financial analysis of tender coconut plantation in Coimbatore district of Tamil Nadu 泰米尔纳德邦哥印拜陀地区嫩椰子种植园的财务分析

International journal of statistics and applied mathematics Pub Date : 2023-09-01 DOI: 10.22271/maths.2023.v8.i5se.1216

Mathivarshini S, Velavan C, Rajalingam GV, Janaki Rani A, Divya K

{"title":"Financial analysis of tender coconut plantation in Coimbatore district of Tamil Nadu","authors":"Mathivarshini S, Velavan C, Rajalingam GV, Janaki Rani A, Divya K","doi":"10.22271/maths.2023.v8.i5se.1216","DOIUrl":"https://doi.org/10.22271/maths.2023.v8.i5se.1216","url":null,"abstract":"India ranks first in coconut production and productivity and ranks third in cultivation area globally. Twelve million people in India depends on coconut for their livelihood either directly or indirectly. But the prevailing practice of determining the price of coconut by the price of coconut oil which is highly fluctuating in nature has resulted in non-remunerative price for the coconut farmers. To promote the sustainability in the coconut sector, it is imperative to delink the sector from dependency of coconut oil and enhancing the production of diversified coconut products. The present study was conducted with the objective of studying viability of tender coconut cultivation among small, medium and large farmers as a measure of product diversification. The investment decision model was used to analyse the viability of investing in tender coconut cultivation. Research results showed that the NPV was Rs.5.71 lakhs, Rs. 4.87 lakhs and Rs. 5.37 lakhs and the BCR was 2.99, 3.6, 3.2 for small, medium and large-scale tender coconut farmers. The IRR was 18.9 percent, 17.2 percent and 18.3 percent for small, medium and large tender coconut farmers respectively indicating that tender coconut cultivation is financially feasible. The data used for the potential 25 years of economic life of plantation, tender coconut plantation is profitable in the study area.","PeriodicalId":500025,"journal":{"name":"International journal of statistics and applied mathematics","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135433198","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

A study on price spread and marketing efficiency of jasmine value chains in Salem and Dharmapuri district of Tamil Nadu 泰米尔纳德邦Salem和dharapuri地区茉莉价值链价差与营销效率研究

International journal of statistics and applied mathematics Pub Date : 2023-09-01 DOI: 10.22271/maths.2023.v8.i5se.1215

Vimaladhithyan KR, Balaji R, Divya K, Parimalarangan R, Keisarlourdusamy D

{"title":"A study on price spread and marketing efficiency of jasmine value chains in Salem and Dharmapuri district of Tamil Nadu","authors":"Vimaladhithyan KR, Balaji R, Divya K, Parimalarangan R, Keisarlourdusamy D","doi":"10.22271/maths.2023.v8.i5se.1215","DOIUrl":"https://doi.org/10.22271/maths.2023.v8.i5se.1215","url":null,"abstract":"Jasmine flower is cultivated and used in large quantities all over the world, where Tamil Nadu ranks first in jasmine production. The objective of the study was to identify the value chain actors in the study area and to analyze the price spread and marketing efficiency of Jasmine in different value chains. Salem and Dharmapuri district were purposively selected for the study as the production area is prominently increasing. The study was conducted during the months of May and June 2023 and in total, 100 farmers and 50 market intermediaries were randomly selected for the study. The tools used for the study were price spread and marketing efficiency by the Shepherds and Acharya method. Four value chains were identified in the study area, in which the value chain IV was identified as the least price spread and the value chain III has the highest price spread. The marketing efficiency of the Jasmine value chain was computed using Shepherd’s method and channel IV was found to have the maximum efficiency with a score of 22.50 because it had fewer intermediaries which included Retailer and consumers, whereas, channel III had the least marketing efficiency with a score of 3.74 which mainly includes Farmers, commission agents, Exporter, and consumers. The study concluded that Channel IV was efficient.","PeriodicalId":500025,"journal":{"name":"International journal of statistics and applied mathematics","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135433461","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

Study on factors influencing the consumer preference towards branded and unbranded masala products in Theni District 台尼地区消费者对品牌与非品牌玛莎拉产品偏好的影响因素研究

International journal of statistics and applied mathematics Pub Date : 2023-09-01 DOI: 10.22271/maths.2023.v8.i5sd.1199

P Navith Ahamed, M Chandrakumar, A Rohini, M Prahadeeswaran, G Vanitha

{"title":"Study on factors influencing the consumer preference towards branded and unbranded masala products in Theni District","authors":"P Navith Ahamed, M Chandrakumar, A Rohini, M Prahadeeswaran, G Vanitha","doi":"10.22271/maths.2023.v8.i5sd.1199","DOIUrl":"https://doi.org/10.22271/maths.2023.v8.i5sd.1199","url":null,"abstract":"This article explore that the food industry has undergone significant changes due to evolving consumer preferences and an increased focus on convenience and quality. Spices and masalas, crucial elements in Indian cuisine, play a vital role in enhancing flavor and nutritional value. This study explores consumer behavior towards branded and unbranded masala products, using the Relative Importance Index (RII) to analyze and rank influencing factors. Conducted in the Theni district of Tamil Nadu, the research focuses on a region emblematic of shifting consumer dynamics driven by urbanization. The study draws insights from previous research by Rajanbabu and Ganesan (2015), Indumathi et al., (2020) and Kavinkesinikethan et al., (2019) to examine consumer perceptions and preferences. RII scores highlighted top factors influencing branded masala preferences: accessibility (0.923), packaging (0.890), quality (0.760), taste (0.724), and advertising (0.723). Unbranded preferences focused on affordability (0.787), masala freshness (0.680), taste (0.673), quality (0.667), and family approval (0.643). Through the RII, factors impacting choices for branded and unbranded masala products are evaluated, unveiling accessibility, attractive packaging, quality, taste, and advertisement as prominent influencers for both. These findings offer valuable insights into consumer behavior in the realm of masala products, shedding light on the complex interplay between tradition, innovation, and preferences in the culinary market.","PeriodicalId":500025,"journal":{"name":"International journal of statistics and applied mathematics","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135248695","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

Seasonal indices and correlation between market arrivals and price of potato in Banaskantha District of Gujarat 古吉拉特邦巴纳斯坎塔地区马铃薯季节指数及市场到货与价格的相关性

International journal of statistics and applied mathematics Pub Date : 2023-09-01 DOI: 10.22271/maths.2023.v8.i5sd.1202

Umang B Patel, Jay Delvadiya, Meera Padaliya, Parul M Patel

{"title":"Seasonal indices and correlation between market arrivals and price of potato in Banaskantha District of Gujarat","authors":"Umang B Patel, Jay Delvadiya, Meera Padaliya, Parul M Patel","doi":"10.22271/maths.2023.v8.i5sd.1202","DOIUrl":"https://doi.org/10.22271/maths.2023.v8.i5sd.1202","url":null,"abstract":"Potato crop is the highest yielding vegetable in world as well as India. The prevalence of prices fluctuation of potato market is a common phenomenon due to seasonality and biological nature. This intricate interplay leads to substantial variations in potato output, consequently causing fluctuations in prices. So, the present study was conducted with seasonal variation and correlation between market arrivals and price of potato in Deesa market of Banaskantha district. The time series analysis of potato prices and arrivals was conducted in Deesa market for the period 2011-12 to 2020-21. The finding indicated that, the seasonal indices of arrivals reached their maximum during the harvest season and correspondingly decrease during the post-harvest seasons. Seasonal indices of prices decreased in harvest season and when the arrivals decreased, price increased in post-harvest season. Similarly, negative correlation found between the arrivals and prices of potato in certain year, indicating that prices of potatoes were independent on market arrivals in the regulated market.","PeriodicalId":500025,"journal":{"name":"International journal of statistics and applied mathematics","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135248696","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

A regional analysis of trends in milk production in India 印度牛奶生产趋势的区域分析

International journal of statistics and applied mathematics Pub Date : 2023-09-01 DOI: 10.22271/maths.2023.v8.i5sd.1201

Mamidala Tejasree, S Moghana Lavanya, K Mahendran, N Sriram, R Parimalarangan

{"title":"A regional analysis of trends in milk production in India","authors":"Mamidala Tejasree, S Moghana Lavanya, K Mahendran, N Sriram, R Parimalarangan","doi":"10.22271/maths.2023.v8.i5sd.1201","DOIUrl":"https://doi.org/10.22271/maths.2023.v8.i5sd.1201","url":null,"abstract":"The dairy industry in India is crucial for the country's economy. Over the past 40 years, it has experienced tremendous growth in milk production, making India the largest producer and consumer of dairy products. In the present study, an attempt has been made to use secondary data for 20 years (from 2003 to 2023) to understand the growth rate in milk production across five regions of India (North, East, West, South, and Central India) and also to analyse secondary data for a period of 20 years (from 2003 to 2023). The tools employed for the analysis were the Compound Annual Growth Rate and Trend Analysis to estimate the Growth Rate and Trends in Milk Production. Out of five regions, the North Zone exhibited the highest growth rate, followed by the South Zone. The CAGR of milk production witnessed a substantial increase during the second decade (From 2014 to 2023), showing an impressive increase of 43 percent when compared to the previous decade. The Trend analysis conducted in the study revealed that Milk Production in the North Zone was significantly higher in 20 years compared to the insignificant difference seen in Delhi, Goa, and Kerala states of the North, West, and South, respectively. The study indicates that there is a significant upward trend in milk production over the specified period, as analysed using Trend Analysis. The remarkable growth rate reflects the dairy industry's capacity to expand and cater to the rising demands for milk and its products.","PeriodicalId":500025,"journal":{"name":"International journal of statistics and applied mathematics","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135250245","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

A study on analysis of retailing and competitive scenario of organic produce (Rice, Wheat, Major Millets) in Hyderabad city of Telangana state 泰伦加纳邦海得拉巴市有机农产品(大米、小麦、主要小米)零售和竞争情景分析研究

International journal of statistics and applied mathematics Pub Date : 2023-09-01 DOI: 10.22271/maths.2023.v8.i5sk.1283

Borra Aparna, Pagadala Radhika, Challa Srilatha, Mendu Srinivasulu

{"title":"A study on analysis of retailing and competitive scenario of organic produce (Rice, Wheat, Major Millets) in Hyderabad city of Telangana state","authors":"Borra Aparna, Pagadala Radhika, Challa Srilatha, Mendu Srinivasulu","doi":"10.22271/maths.2023.v8.i5sk.1283","DOIUrl":"https://doi.org/10.22271/maths.2023.v8.i5sk.1283","url":null,"abstract":"The modern agricultural practices led by green revolution technologies helped the country to achieve self-sufficiency in food production, but this led to many problems and one of the most important problems is the emergence of micronutrient deficiencies in humans, Organic farming was found to be one of the efficient methods to reverse all the ill effects of modern agriculture and produce food which is rich in antioxidants and with meager pesticide residues. The growing health consciousness among Indian consumers is a big driving force in the organic food sector. Consumers are becoming more concerned with their food's nutrient content and quality, which is increasing demand for organic products. They are also becoming more concerned about the potential health concerns linked with the use of chemicals and pesticides in traditional food production, which is driving the popularity of organic food alternatives. So, a study is done to know the retail and competitive scenario of organic produce to know the availability of quality produce to customers. For this, a sample of 60 retailers was purposively selected, A prefixed questionnaire was used to gather the entire data. Percentages and graphs were made use for carrying out the study more effectively.","PeriodicalId":500025,"journal":{"name":"International journal of statistics and applied mathematics","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135688565","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

Increasing awareness of Dhaanya brand among the farmer community in particular territory Ambikapur 在Ambikapur地区的农民社区中提高对Dhaanya品牌的认识

International journal of statistics and applied mathematics Pub Date : 2023-09-01 DOI: 10.22271/maths.2023.v8.i5sl.1295

Deepak Kumar Thakur, Anjali Singh, Tripti Verma

引用次数: 0

Time series analysis of castor crop for price forecasting in Gujarat: A comprehensive study 古吉拉特邦蓖麻作物价格预测的时间序列分析:综合研究

International journal of statistics and applied mathematics Pub Date : 2023-09-01 DOI: 10.22271/maths.2023.v8.i5c.1339

Vishwa Gohil, SM Upadhyay, DV Patel, Jay Delvadiya, Happy Patel

{"title":"Time series analysis of castor crop for price forecasting in Gujarat: A comprehensive study","authors":"Vishwa Gohil, SM Upadhyay, DV Patel, Jay Delvadiya, Happy Patel","doi":"10.22271/maths.2023.v8.i5c.1339","DOIUrl":"https://doi.org/10.22271/maths.2023.v8.i5c.1339","url":null,"abstract":"The overall objective of the present paper is demonstrating the utility of price forecasting of farm prices and validating the same for castor crops in Gujarat state for the year 2022 using the time series data from 2007 to 2021. While for price data of castor was collected from AGMARKNET (www.agmarknet.gov.in). Looking to the seasonal indices, the lowest and highest seasonal indices of castor price were happened in May and August respectively for all the castor markets except Patan market. The results showed that the lower instability for price under castor was observed in Mehsana (1.045), Rajkot (0.999), Gandhinagar (1.158), Banaskantha (1.074), Patan (1.903) and Sabarkantha (1.089) districts. Majority of the districts showed the low level of instability for price. There may be chance of volatility persist in these markets yet it should be subjected to formal ARIMA effect test to confirm the presence of volatility. The seasonal component was estimated by fitting the cubic trend in Mehsana, Rajkot, Gandhinagar, Banaskantha and Sabarkantha markets. However in Patan market the trend observed in compound, growth, exponential and logistic. The results were obtained from the application of univariate ARIMA techniques to produce price forecasts for castor crop and precision of the forecasts were evaluated using the standard criteria of lower value of RMSE, MAPE, MAE MSE with higher value of Adj. R2. On the basis of these criteria find out best model of ARIMA for castor price forecasted. Among the selected six markets, Mehsana ARIMA (0,1,0), Rajkot ARIMA (0,1,2), Gandhinagar ARIMA (0,1,0), Banaskantha ARIMA (0,1,0), Patan ARIMA (1,0,1) and Sabarkantha ARIMA (1,1,1) model were found to be best fitted for the forecasting the price of castor in Gujarat.","PeriodicalId":500025,"journal":{"name":"International journal of statistics and applied mathematics","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135737267","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

Identification of FPOs and traders in the major areas for sourcing of selected organic cereals and pulses (paddy, green gram and red gram) in Telangana and Andhra Pradesh 在特伦甘纳邦和安得拉邦选定有机谷物和豆类(稻谷、绿克和红克)的主要采购地区确定FPOs和贸易商

International journal of statistics and applied mathematics Pub Date : 2023-09-01 DOI: 10.22271/maths.2023.v8.i5sg.1235

P Sudha Yamini, Vijay Nadiminti, Ch Srilatha, A Meena

{"title":"Identification of FPOs and traders in the major areas for sourcing of selected organic cereals and pulses (paddy, green gram and red gram) in Telangana and Andhra Pradesh","authors":"P Sudha Yamini, Vijay Nadiminti, Ch Srilatha, A Meena","doi":"10.22271/maths.2023.v8.i5sg.1235","DOIUrl":"https://doi.org/10.22271/maths.2023.v8.i5sg.1235","url":null,"abstract":"Growing consumer demand for organic food and awareness of the negative effects of synthetic chemicals in the food chain have made organic agriculture an attractive alternative to the conventional method of farming, which relies solely on chemicals. The present study entitled “A study on sourcing of organic cereals and pulses (paddy, green gram and red gram) in Telangana and Andhra Pradesh for B2B segment” was carried out in Andhra Pradesh and Telangana. YSR Kadapa and Srikakulam districts from Andhra Pradesh whereas Siddipet district from Telangana were identified for sourcing of organic paddy. Five FPOs from YSR Kadapa, five FPOs and three traders from Srikakulam whereas five FPOs and two traders from Siddipet were identified for sourcing of organic paddy. YSR Kadapa and Anantapur districts from Andhra Pradesh whereas Narayanpet district from Telangana were identified for sourcing of organic red gram. Five FPOs and three traders from YSR Kadapa, five FPOs and two traders from Srikakulam whereas five FPOs from Narayanpet were identified for sourcing of organic red gram. Anantapur and Srikakulam districts from Andhra Pradesh whereas Narayanpet district from Telangana were identified for sourcing of organic green gram. Five FPOs from YSR Kadapa, five FPOs and five traders from Srikakulam whereas five FPOs from Narayanpet were identified for sourcing of organic green gram. These districts are selected because in these districts both organic and conventional farming is seen.","PeriodicalId":500025,"journal":{"name":"International journal of statistics and applied mathematics","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134994358","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

Mortality graduation using a rating up approach 死亡率毕业采用评级上升的方法

International journal of statistics and applied mathematics Pub Date : 2023-09-01 DOI: 10.22271/maths.2023.v8.i5b.1302

Onchere Walter, Maina Calvin, Monari Fred

引用次数: 0