Autonomous Adaptation Strategies to Multiple Stressors: A Case Study with Marginal Communities in Eastern Uttar Pradesh, India

This paper attempts to deal with the identifying the service centers and calculation of the spatial arrangement with complementary area of service centres in Jaunpur district Jaunpur district of Uttar Pradesh. The study area is situated in Eastern Uttar Pradesh of the Middle Ganga Plain. The study is exclusively based on secondary data collected at block level from different offices. The centrality score has been calculated on the basis of three type of indices like functional centrality index, working population index and tertiary population index. There are 31 function or services selected judicially from five sectors (administrative, agricultural and financial, educational, health and transport and communication) to measure the centrality of service centre. The thissen polygon and berry breaking point method has been used for measure the complementary area. Total 88 service centres have been identified as first, second, third, fourth and fifth order service centre. The number of I, II, III, IV, and V order centres accounts for 43, 24, 16, 4, and 1 respectively.

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Value Chain Finance to Dairy Sector-A Case Study of Eastern Uttar Pradesh

Agricultural Science Digest - A Research Journal ◽

10.18805/ag.dr-1577 ◽

2021 ◽

Author(s):

Sarvesh Kumar

Keyword(s):

Value Chain ◽

Business Models ◽

Uttar Pradesh ◽

Value Addition ◽

Financial Flows ◽

Production And Distribution ◽

A Chain ◽

Financial Arrangements ◽

Eastern Uttar Pradesh

Background: Dairy sector has highly fragmented supply base and unique ecosystem of delivery resulting that a chain of value addition actors involved in its production and distribution. Value chain financing approach provides opportunities to develop equitable business models that better link all actors in the value chain. Accordingly, this study has carried out to assess the diversity of financial arrangements and the actors involved in dairy value chain in the Eastern Uttar Pradesh. The study also brings about the relatively prominent components/actors of the dairy value chain that could be emphasised while financing dairy value chain. Method: The value chain actors including milk producers have identified purposively and interviewed with well-constructed scheduled. The study has analysed on the data collected from 64 milk producers in 8 villages, 3 inputs suppliers, 8 milk collectors/assemblers, 4 milk transporters, 1 milk processor and 12 distributers for the year 2019-20. Result: The study observed that there is vast network of financing institutions have engaged in the financing of dairy value chain in the study area. Financing agencies have identified the set of activities associated with milk value chain and determine the structure of finance accordingly, in order to minimize costs, to maximize efficiency and to reduce risk. However, there are several informal mechanism of value chain financings also existed parallel to institutional finance due to informal sources are willing to lend money more easily without collateral. Relationships between actors in the value chain facilitate informal financial flows directly to his client actors is also observed in the study. The study has further inferred that among all the actors involved in milk value chains, the processor, producer and distributer have added greater value addition in comparison to other actors in the value chain.

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Participatory Evaluation of Effectiveness of Farmer-Led Adaptation Strategies to Climate Change in Eastern Uttar Pradesh

10.48165/ijee.2022.58140 ◽

2022 ◽

Vol 58 (1) ◽

pp. 146-150

Author(s):

Preeti Yadav ◽

Sanjit Maiti ◽

S. K. Jha ◽

H. R. Meena ◽

Mukesh Bhakat ◽

...

Keyword(s):

Climate Change ◽

Water Flow ◽

Uttar Pradesh ◽

Adaptation Strategy ◽

Adaptation Strategies ◽

Impact Of Climate Change ◽

Crop Fields ◽

High Yielding Varieties ◽

Eastern Uttar Pradesh ◽

The Impact

India has shown high vulnerability towards the impact of climate change due to thedependency of 58 per cent of India’s population on agriculture. The study was carried on180 respondents in three districts selected randomly of eastern Uttar Pradesh to evaluatefarmer-led adaptation strategies to the impact of climate change, activities that arepredominantly led by farmers to make them more adaptable to long-term changes in weatherpatterns. All the respondents had experienced extreme climatic events in the last 5-10 years,making the region climate-prone. Nine farmers’-led adaptation strategies to climate changefollowed in crop farming were documented and quantified by using Climate ChangeAdaptation Index. Adaptation strategies were evaluated using the Quantification ofIndigenous Knowledge method (QuIK) method; by involving the key informants followedby peer farmers. Crop diversification, use of high yielding varieties of crops andpreparations of bunds to control water flow were the most preferred adaptation strategiesto climate change. The irregular rainfall increased the incidence of floods in eastern UttarPradesh; thus, the preparation of bunds to regulate water flow in crop fields was the mostefficient adaptation strategy.

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Empowering Farmers through Future Price Information: A Case Study of Price Forecasting of Brinjal in Eastern Uttar Pradesh

Indian Journal of Economics and Development ◽

10.35716/ijed/20146 ◽

2020 ◽

pp. 479-488

Keyword(s):

Supply Chain ◽

Economies Of Scale ◽

Uttar Pradesh ◽

Future Price ◽

Forecasting Model ◽

Price Forecasting ◽

Price Information ◽

Marketing Activities ◽

Eastern Uttar Pradesh

The study developed ARIMA forecasting model for brinjal prices for the markets of Eastern Uttar Pradesh. It was observed that the ARIMA (1,0,1) with non-zero mean was suitable for both Lucknow and Allahabad markets. ARIMA (2,0,0) (0,1,0) (52), ARIMA (1,1,0) (1,1,0) (52), ARIMA (1,1,2), ARIMA (2,0,0) (1,0,0) (52), ARIMA (3,1,1) were suitable for Delhi, Varanasi, Kolkata, Gorakhpur, and Kanpur markets, respectively, based on lowest AIC values. The farmers and other supply chain actors of Eastern Uttar Pradesh could plan their production and marketing activities looking into the price scenario projected for major markets in the study. The highest price of brinjal was likely to prevail in the Kolkata market. To exploit distant markets, the farmers need to organize themselves into groups to exploit economies of scale.

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ASTERACEOUS FLORA OF TERAI REGION OF EASTERN UTTAR PRADESH, INDIA

FLORA AND FAUNA ◽

10.33451/florafauna.v23i1pp105-114 ◽

2017 ◽

Vol 23 (1) ◽

Author(s):

KANCHAN LATA

Keyword(s):

Uttar Pradesh ◽

Eastern Uttar Pradesh ◽

Systematic Identification

The systematic identification of 78 species belonging to 51 genera reported from Terai region of Eastern Uttar Pradesh, India. The present paper provides key to genera, list of plant with their habit, phenology and voucher number of each species.

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