Pub Date : 2021-10-27DOI: 10.9734/ajaees/2021/v39i1130744
B. Selvi, C. Sekar, S. Senthilnathan, G. Vanitha
The purpose of this study is to examine the effect of the global pandemic COVID-19 on household income, expenditure, and consumption behaviour of farmers in the western zone of Tamil Nadu during the year 2020. The Annur block in the Coimbatore district was purposively chosen for this study since majority of the farmers cultivating horticultural crops were affected significantly due to COVID-19 situation. A total of 210 farmers were selected using a proportionate sampling technique by covering the vegetable (Tomato, Brinjal, and Bhendi) and flower crops (Jasmine, Mullai, and Rose). The study helped in analyzing the changes noticed in the livelihoods of the farmers as a consequence of the emergence of this global pandemic situation. The findings of the study indicated that the average annual income of farmers has been lowered about 17 per cent due to COVID-19 along with subsequent effects on household consumption expenditure and savings being reduced about 16 per cent and 35 per cent, respectively. Further, the expenses on food items had increased about 8 per cent, while non-food group expenses had plummeted about 46 per cent. On the other hand, medical expenses significantly enhanced to an extent of about 38 per cent among the sampled households.
{"title":"Impact of COVID-19 on Food and Non-Food Consumption Behaviour of People in the Western Zone of Tamil Nadu","authors":"B. Selvi, C. Sekar, S. Senthilnathan, G. Vanitha","doi":"10.9734/ajaees/2021/v39i1130744","DOIUrl":"https://doi.org/10.9734/ajaees/2021/v39i1130744","url":null,"abstract":"The purpose of this study is to examine the effect of the global pandemic COVID-19 on household income, expenditure, and consumption behaviour of farmers in the western zone of Tamil Nadu during the year 2020. The Annur block in the Coimbatore district was purposively chosen for this study since majority of the farmers cultivating horticultural crops were affected significantly due to COVID-19 situation. A total of 210 farmers were selected using a proportionate sampling technique by covering the vegetable (Tomato, Brinjal, and Bhendi) and flower crops (Jasmine, Mullai, and Rose). The study helped in analyzing the changes noticed in the livelihoods of the farmers as a consequence of the emergence of this global pandemic situation. The findings of the study indicated that the average annual income of farmers has been lowered about 17 per cent due to COVID-19 along with subsequent effects on household consumption expenditure and savings being reduced about 16 per cent and 35 per cent, respectively. Further, the expenses on food items had increased about 8 per cent, while non-food group expenses had plummeted about 46 per cent. On the other hand, medical expenses significantly enhanced to an extent of about 38 per cent among the sampled households.","PeriodicalId":354619,"journal":{"name":"Asian Journal of Agricultural Extension, Economics & Sociology","volume":"64 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126078320","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}
Pub Date : 2021-10-27DOI: 10.9734/ajaees/2021/v39i1130743
K. Duhan, Nigam Rani, Poonam Malik, . Komal
Women play a fundamental role in the economy of any society. They work as a farmer, on wages basis, as business person, administrator, and entrepreneurs. Women in rural areas face constraints in engaging in all activities viz. cultural, social, economical, health and nutrition etc. Because of gender-based discrimination and social norms, most of their work remains unseen, unrecognized and undervalued. Therefore, this study was conducted on 600 rural (300 male 300 female) people to assess the educational status and sensitivity level. Data was collected with the help of self structured questionnaire by survey method. Results of the study shows that illiterate females (42.90%) were almost double of male (24.40%) that shows high degree of gender disparity in educational level and male members were more sensitized on different aspects (Household responsibility 4.407*, Economical 3.815*, Health and Nutrition 3.243*, Political 2.548*, Media and Technologies 2.126*) as compare to female regarding equality. So, there was a need to promoting gender equality and women’s economic empowerment.
{"title":"Gender Sensitivity Level among Rural Masses","authors":"K. Duhan, Nigam Rani, Poonam Malik, . Komal","doi":"10.9734/ajaees/2021/v39i1130743","DOIUrl":"https://doi.org/10.9734/ajaees/2021/v39i1130743","url":null,"abstract":"Women play a fundamental role in the economy of any society. They work as a farmer, on wages basis, as business person, administrator, and entrepreneurs. Women in rural areas face constraints in engaging in all activities viz. cultural, social, economical, health and nutrition etc. Because of gender-based discrimination and social norms, most of their work remains unseen, unrecognized and undervalued. Therefore, this study was conducted on 600 rural (300 male 300 female) people to assess the educational status and sensitivity level. Data was collected with the help of self structured questionnaire by survey method. Results of the study shows that illiterate females (42.90%) were almost double of male (24.40%) that shows high degree of gender disparity in educational level and male members were more sensitized on different aspects (Household responsibility 4.407*, Economical 3.815*, Health and Nutrition 3.243*, Political 2.548*, Media and Technologies 2.126*) as compare to female regarding equality. So, there was a need to promoting gender equality and women’s economic empowerment.","PeriodicalId":354619,"journal":{"name":"Asian Journal of Agricultural Extension, Economics & Sociology","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131177169","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}
Pub Date : 2021-10-26DOI: 10.9734/ajaees/2021/v39i1130741
S. Narayanan, M. Senthilkumar
The penetration and use of smart mobile phones with internet connectivity paved way to the increased use of social media tools and among them, WhatsApp is widely used by farmers for personal and group use. The efforts made by public institutions, development departments in reaching farmers and general public through WhatsApp has led to a creation of number of farmers WhatsApp groups for sharing of agricultural knowledge and information. The present study was carried out to analyse the content shared through KVK WhatsApp group. Viluppuram KVK WhatsApp group was purposively selected and the content shared was analyzed by non-participant observation method for 30 days. Data analyzed using frequency and percentage analysis. It was found that majority (83.97%) of the content shared by the farmers were related to agricultural activities. Farmers preferred to use text communication (37.18%) over other mode of messages. Farmers were actively engaged during morning hours in WhatsApp group due to their free time rather than later hours. Farmers opined that WhatsApp positively impacted them in obtaining timely information as well as personalized information.
{"title":"Content Analysis of Farmers’ KVK WhatsApp Group of Villupuram District in Tamil Nadu","authors":"S. Narayanan, M. Senthilkumar","doi":"10.9734/ajaees/2021/v39i1130741","DOIUrl":"https://doi.org/10.9734/ajaees/2021/v39i1130741","url":null,"abstract":"The penetration and use of smart mobile phones with internet connectivity paved way to the increased use of social media tools and among them, WhatsApp is widely used by farmers for personal and group use. The efforts made by public institutions, development departments in reaching farmers and general public through WhatsApp has led to a creation of number of farmers WhatsApp groups for sharing of agricultural knowledge and information. The present study was carried out to analyse the content shared through KVK WhatsApp group. Viluppuram KVK WhatsApp group was purposively selected and the content shared was analyzed by non-participant observation method for 30 days. Data analyzed using frequency and percentage analysis. It was found that majority (83.97%) of the content shared by the farmers were related to agricultural activities. Farmers preferred to use text communication (37.18%) over other mode of messages. Farmers were actively engaged during morning hours in WhatsApp group due to their free time rather than later hours. Farmers opined that WhatsApp positively impacted them in obtaining timely information as well as personalized information.","PeriodicalId":354619,"journal":{"name":"Asian Journal of Agricultural Extension, Economics & Sociology","volume":"164 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116556262","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}
Pub Date : 2021-10-26DOI: 10.9734/ajaees/2021/v39i1130739
B. Prarthana, K. Ashok, K. Mahendran, Srivara Buddhi Bhuvaneswari
This article deals with the effect of the COVID-19 pandemic on the performance of a non-profit microfinance institution operating in the Nilgiris and Perambalur districts of Tamil Nadu in India. The primary focus of the paper is on the microfinance institute’s financial performance in terms of outreach and portfolio quality before and after the coronavirus outbreak. The most worrisome factors that were encountered in due course of the study include a decline in loan portfolio and clientele, and an increasing trend in portfolio at risk (PAR) percentage due to a surge in client overdues, outstanding loan amount and rise in number of delinquent clients. These negative impacts on performance were further investigated by establishing a connection to the clients’ repayment ability. A survey was conducted among the women clients of the microfinance institution by enlisting 120 respondents, 60 from each district to identify the various constraints faced by them in loan repayment as a result of the government-imposed lockdown that affected their livelihood and curbed their source of income. Therefore, an attempt has been made to bring out the ground level realities that played an important role in disrupting the normal functioning of the microfinance institution during the pandemic outbreak. This will prove useful in setting guidelines for future crises of like nature to enable microfinance institutions to keep functioning efficiently without any drastic changes to their performance.
{"title":"An Investigation into the Impact of COVID-19 on the Performance of a Non-profit Microfinance Institution","authors":"B. Prarthana, K. Ashok, K. Mahendran, Srivara Buddhi Bhuvaneswari","doi":"10.9734/ajaees/2021/v39i1130739","DOIUrl":"https://doi.org/10.9734/ajaees/2021/v39i1130739","url":null,"abstract":"This article deals with the effect of the COVID-19 pandemic on the performance of a non-profit microfinance institution operating in the Nilgiris and Perambalur districts of Tamil Nadu in India. The primary focus of the paper is on the microfinance institute’s financial performance in terms of outreach and portfolio quality before and after the coronavirus outbreak. The most worrisome factors that were encountered in due course of the study include a decline in loan portfolio and clientele, and an increasing trend in portfolio at risk (PAR) percentage due to a surge in client overdues, outstanding loan amount and rise in number of delinquent clients. These negative impacts on performance were further investigated by establishing a connection to the clients’ repayment ability. A survey was conducted among the women clients of the microfinance institution by enlisting 120 respondents, 60 from each district to identify the various constraints faced by them in loan repayment as a result of the government-imposed lockdown that affected their livelihood and curbed their source of income. Therefore, an attempt has been made to bring out the ground level realities that played an important role in disrupting the normal functioning of the microfinance institution during the pandemic outbreak. This will prove useful in setting guidelines for future crises of like nature to enable microfinance institutions to keep functioning efficiently without any drastic changes to their performance.","PeriodicalId":354619,"journal":{"name":"Asian Journal of Agricultural Extension, Economics & Sociology","volume":"244 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131777832","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}
Pub Date : 2021-10-26DOI: 10.9734/ajaees/2021/v39i1130740
K. Abdulaziz, K. Kundu, D. Malik
An investigation on the growth and economic profitability of rice production was conducted in Karnal district of Haryana, India in 2019-20. A sample of 30 farmers from Karnal district were interviewed to collect relevant information related to various expenses incurred in the cultivation of rice and output attained as well as constraints encountered in production of rice. Compound annual growth rate (CAGR) results revealed an increasing trend in area, production and yield of rice in Haryana. Large instability suggests that there was more variability in area, production and yield in Haryana than in India during the period under study. Highest cost was incurred in variety Basmati CSR-30 (Rs. 763kg-1) cultivation. Similarly, highest net profit was realized in the cultivation of Basmati CSR-30 (Rs. 202kg-1). Lack of remunerative prices was the main constraint in rice cultivation. Thus, cultivation of rice could be made more profitable by upward review of per unit price of rice and looking into other avenues to incentivize the rice farmers. Similarly, research should be reoriented to reduce the production cost and improving yield which have direct effect on profitability.
{"title":"Growth and Economic Profitability of Rice Cultivation in Haryana","authors":"K. Abdulaziz, K. Kundu, D. Malik","doi":"10.9734/ajaees/2021/v39i1130740","DOIUrl":"https://doi.org/10.9734/ajaees/2021/v39i1130740","url":null,"abstract":"An investigation on the growth and economic profitability of rice production was conducted in Karnal district of Haryana, India in 2019-20. A sample of 30 farmers from Karnal district were interviewed to collect relevant information related to various expenses incurred in the cultivation of rice and output attained as well as constraints encountered in production of rice. Compound annual growth rate (CAGR) results revealed an increasing trend in area, production and yield of rice in Haryana. Large instability suggests that there was more variability in area, production and yield in Haryana than in India during the period under study. Highest cost was incurred in variety Basmati CSR-30 (Rs. 763kg-1) cultivation. Similarly, highest net profit was realized in the cultivation of Basmati CSR-30 (Rs. 202kg-1). Lack of remunerative prices was the main constraint in rice cultivation. Thus, cultivation of rice could be made more profitable by upward review of per unit price of rice and looking into other avenues to incentivize the rice farmers. Similarly, research should be reoriented to reduce the production cost and improving yield which have direct effect on profitability.","PeriodicalId":354619,"journal":{"name":"Asian Journal of Agricultural Extension, Economics & Sociology","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115528756","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}
Pub Date : 2021-10-26DOI: 10.9734/ajaees/2021/v39i1130742
Radha R. Ashrit
Aims: The aim was to estimate the output supply and input demand elasticities of maize, jowar and bajra production, using the restricted normalised translog profit function, for the major producing states of India (Andhra Pradesh, Maharashtra and Rajasthan). Study Design: A stratified multi-stage random sampling design was adopted for carrying out the sampling. Place and Duration of Study: The study pertains to cross sectional plot level data for the period 2013-14 and 2017-18. The study is based on secondary data, collected from Directorate of Economics & Statistics, Ministry of Agriculture, Government of India. Methodology: For the present studied crops (maize, jowar and bajra), those states were selected which covered maximum area, i.e, 85% of the total area under the cultivation. Socio-economic data of farmers such as age, sex, level of education, occupation, size of landholding were collected. The translog profit function approach was used as the econometric technique to estimate output supply, and input demand functions. Labour, fertiliser and seeds are taken as variable inputs. Statistical software STATA version 16 was used for the analysis. Results: The results suggest that the changes in market prices of inputs and output significantly affect the farmers’ profits, crop produce supply and the use of resources in the cultivation of these crops. The supply elasticities of maize, jowar and bajra with respect to its own prices are positive and statistically significant indicating that increase in support prices can boost the supply of these nutri-grains and farmers profits. Labour demand for these crops in the country is elastic and significant to its own price. Conclusion: During both the periods, 2013-14 (typical monsoon year) and 2017-18 (drought year), the elasticities derived are statistically robust as almost all of them carried compatible signs and in line with the theory. Promoting these crops can contribute to labour absorption.
目的:目的是利用印度主要生产邦(安得拉邦、马哈拉施特拉邦和拉贾斯坦邦)的受限规范化超对数利润函数，估计玉米、乔瓦尔和巴吉拉产量的产出供应和投入需求弹性。研究设计:采用分层多阶段随机抽样设计进行抽样。研究地点和时间:该研究涉及2013-14和2017-18期间的横断面地块水平数据。该研究基于从印度政府农业部经济与统计局收集的二手数据。方法:对于目前研究的作物(玉米、乔瓦尔和巴吉拉)，选择覆盖面积最大的州，即占种植总面积的85%。收集了农民的社会经济数据，如年龄、性别、教育水平、职业、土地持有规模。采用超对数利润函数方法作为计量经济学技术来估计产出供给和投入需求函数。劳动力、肥料和种子被视为可变投入。采用统计软件STATA version 16进行分析。结果:投入物和产出物的市场价格变化显著影响着农户的利润、作物产品供给和作物种植中的资源利用。玉米、乔瓦和巴吉拉的供应弹性相对于其本身的价格是正的，具有统计意义，表明支持价格的增加可以增加这些营养谷物的供应和农民的利润。该国对这些作物的劳动力需求是有弹性的，对其本身的价格也很重要。结论:在2013-14年(典型季风年)和2017-18年(干旱年)这两个时期，得到的弹性在统计上是稳健的，几乎所有的弹性都具有相容的标志，符合理论。推广这些作物有助于吸收劳动力。
{"title":"Input Demand and Output Supply Elasticities of Coarse Cereals in India: A Translog Profit and Sure Approach","authors":"Radha R. Ashrit","doi":"10.9734/ajaees/2021/v39i1130742","DOIUrl":"https://doi.org/10.9734/ajaees/2021/v39i1130742","url":null,"abstract":"Aims: The aim was to estimate the output supply and input demand elasticities of maize, jowar and bajra production, using the restricted normalised translog profit function, for the major producing states of India (Andhra Pradesh, Maharashtra and Rajasthan). \u0000Study Design: A stratified multi-stage random sampling design was adopted for carrying out the sampling. \u0000Place and Duration of Study: The study pertains to cross sectional plot level data for the period 2013-14 and 2017-18. The study is based on secondary data, collected from Directorate of Economics & Statistics, Ministry of Agriculture, Government of India. \u0000Methodology: For the present studied crops (maize, jowar and bajra), those states were selected which covered maximum area, i.e, 85% of the total area under the cultivation. Socio-economic data of farmers such as age, sex, level of education, occupation, size of landholding were collected. The translog profit function approach was used as the econometric technique to estimate output supply, and input demand functions. Labour, fertiliser and seeds are taken as variable inputs. Statistical software STATA version 16 was used for the analysis. \u0000Results: The results suggest that the changes in market prices of inputs and output significantly affect the farmers’ profits, crop produce supply and the use of resources in the cultivation of these crops. The supply elasticities of maize, jowar and bajra with respect to its own prices are positive and statistically significant indicating that increase in support prices can boost the supply of these nutri-grains and farmers profits. Labour demand for these crops in the country is elastic and significant to its own price. \u0000Conclusion: During both the periods, 2013-14 (typical monsoon year) and 2017-18 (drought year), the elasticities derived are statistically robust as almost all of them carried compatible signs and in line with the theory. Promoting these crops can contribute to labour absorption.","PeriodicalId":354619,"journal":{"name":"Asian Journal of Agricultural Extension, Economics & Sociology","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114593831","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}
Pub Date : 2021-10-25DOI: 10.9734/ajaees/2021/v39i1130736
M. Priyadharshini, D. Murugananthi, A. Rohini, R. Vasanthi
Tea is a very indispensable beverage for Indian population as we rank the world’s largest consumer of black tea. Indian tea industry had been facing many downfalls for the past few years in terms of low price, excess supply, losing flavour and all this as a whole had affected the performance of the tea industry in India. With India being the second largest producer of tea globally, the production of tea in India can be subdivided into North India and South India. The current study focuses on the comparative analysis between North India, South India and India in terms of their trends in area, production, yield, export quantity, export price, auction price and auction quantity of tea. Compounded Annual growth rate (CAGR) was the tool used to find the trends of various variables. This study also focuses on the forecasting the production and auction prices of tea in India till 2023using Autoregressive Integrated Moving Average (ARIMA) model. The results of the present study areindicating that all the variables like area, production, yield, export quantity, export price, auction price and auction quantity of tea had shown a positive trend annually, except for that of North India’s export quantity. Production and auction prices were forecasted till 2023 using different ARIMA models amongst which ARIMA (1,1,0) proved to be the best fit model for study period.
{"title":"An Empirical Study on Forecasting Production and Price of Tea in India","authors":"M. Priyadharshini, D. Murugananthi, A. Rohini, R. Vasanthi","doi":"10.9734/ajaees/2021/v39i1130736","DOIUrl":"https://doi.org/10.9734/ajaees/2021/v39i1130736","url":null,"abstract":"Tea is a very indispensable beverage for Indian population as we rank the world’s largest consumer of black tea. Indian tea industry had been facing many downfalls for the past few years in terms of low price, excess supply, losing flavour and all this as a whole had affected the performance of the tea industry in India. With India being the second largest producer of tea globally, the production of tea in India can be subdivided into North India and South India. The current study focuses on the comparative analysis between North India, South India and India in terms of their trends in area, production, yield, export quantity, export price, auction price and auction quantity of tea. Compounded Annual growth rate (CAGR) was the tool used to find the trends of various variables. This study also focuses on the forecasting the production and auction prices of tea in India till 2023using Autoregressive Integrated Moving Average (ARIMA) model. The results of the present study areindicating that all the variables like area, production, yield, export quantity, export price, auction price and auction quantity of tea had shown a positive trend annually, except for that of North India’s export quantity. Production and auction prices were forecasted till 2023 using different ARIMA models amongst which ARIMA (1,1,0) proved to be the best fit model for study period.","PeriodicalId":354619,"journal":{"name":"Asian Journal of Agricultural Extension, Economics & Sociology","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126216331","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}
Pub Date : 2021-10-25DOI: 10.9734/ajaees/2021/v39i1130738
P. Sujatha
Horticulture sector plays a prominent role in economic growth of India. India is the second largest producer of fruits and vegetables in the world next to China. Among the horticultural crops, fruit crops are cultivated in majority of the area in India. Fruit crops play a significant role in the economic development, nutritional security, employment generation, and total growth of country. India is major producer of mango and banana, among fruit crops. The objective of this research paper is to predicate the yield of mango and banana in Tamil Nadu using different models such as linear and nonlinear, parametric, and non-parametric statistical models. In this research, a hybrid model had been proposed, which consists of linear and nonlinear models. In this hybrid model, combination of the Autoregressive Integrated Moving Average (ARIMA) and Regression model were used. The present study was conducted in Tamil Nadu. Since, area and production of Mango and Banana are higher in Tamil Nadu. Based on results obtained production and yield of Mango and Banana were predicted for next four years.
{"title":"Hybrid Statistical Models for Forecasting Yield of Mango and Banana in Tamil Nadu, India","authors":"P. Sujatha","doi":"10.9734/ajaees/2021/v39i1130738","DOIUrl":"https://doi.org/10.9734/ajaees/2021/v39i1130738","url":null,"abstract":"Horticulture sector plays a prominent role in economic growth of India. India is the second largest producer of fruits and vegetables in the world next to China. Among the horticultural crops, fruit crops are cultivated in majority of the area in India. Fruit crops play a significant role in the economic development, nutritional security, employment generation, and total growth of country. India is major producer of mango and banana, among fruit crops. The objective of this research paper is to predicate the yield of mango and banana in Tamil Nadu using different models such as linear and nonlinear, parametric, and non-parametric statistical models. In this research, a hybrid model had been proposed, which consists of linear and nonlinear models. In this hybrid model, combination of the Autoregressive Integrated Moving Average (ARIMA) and Regression model were used. The present study was conducted in Tamil Nadu. Since, area and production of Mango and Banana are higher in Tamil Nadu. Based on results obtained production and yield of Mango and Banana were predicted for next four years.","PeriodicalId":354619,"journal":{"name":"Asian Journal of Agricultural Extension, Economics & Sociology","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133673538","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}
Pub Date : 2021-10-25DOI: 10.9734/ajaees/2021/v39i1130737
Suchismita Prusty, Arpita Sharma
A study is done with the objective of assessing perceptions of fisheries professionals with reference to revised notification of minimum qualification being Ph.D. for Agricultural Research Service (ARS). Information has been collected from 50 Masters and 50 Doctorate fisheries professionals/students of ICAR-CIFE, Mumbai, using an online Google form and adopting quantitative and qualitative methods. Non parametric Mann Whitney U test is used to check if there is any difference between perception of Masters and Doctorate students. Study reveals that before the notification becoming a ‘Scientist’ was the first career choice of fisheries professionals, followed by ‘Assistant Professor’ and ‘Officer in State Department of Fisheries’. However, after the notification, the first choice has changed to becoming ‘Assistant Professor’ followed by ‘Officer in State Department of Fisheries’ and then ‘Scientist’. Students also perceive advantages and disadvantages of this revised notification. Acceptance of the notification is relatively lower among Masters Students, with a statistically significant difference between the two student groups.
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Pub Date : 2021-10-23DOI: 10.9734/ajaees/2021/v39i1130735
P. Rajapandi, C. Karthikeyan, M. Devi
The present study was taken up to identify the role of key communicators in the dissemination of agricultural information. The study area was Nilayur village of Thiruparankundram block located in Madurai district. A total of 60 respondents were sampled randomly for the study. Sociometric technique was used to identify the role of key communicator. The responses were noted and the identified six key communicators were classified as low, medium and high using the sociogram scores and cumulative percentage. Among the six key communicators, only one key communicator was identified as high levelcommunicator with a cumulative percentage of 100 per cent. Thus, the key communicator should be identified and they can be a handholding support for the extension personnel for dissemination of the technology to reach large farmers.
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