Food Security in North-East Region of India — A State-wise Analysis

Roy, Avijit; Singh, Nisha; Dkhar, D.S.; Mohanty, A. K.; Singh, Surender; Tripathi, Ashutosh

doi:10.5958/0974-0279.2015.00041.5

Cited by 25 publications

(17 citation statements)

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“…Hills dominate the region outside the Brahmaputra Valley, with lush green forests and copious rain. As a result of the hilly terrian, NER is not self-sufficient in producing rice-the staple food grain of the inhabitants-or legumes, but the region has 53 percent marketable surplus in fruit production (Roy et al 2016). Table 2.5 shows the pattern of the revealed comparative advantage (RCA) of NER states in 2013-14 in growing six horticultural subgroup crops: fruits, spices, vegetables, plantation crops, medicinal and aromatic plants, and flowers.…”

Section: Ner States Have Varying Degrees Of Comparative Advantage In mentioning

confidence: 99%

Playing to Strengths: A Policy Framework for Mainstreaming Northeast India

Kathuria¹,

Mathur²

2019

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Section: Ner States Have Varying Degrees Of Comparative Advantage In mentioning

confidence: 99%

Playing to Strengths: A Policy Framework for Mainstreaming Northeast India

Kathuria¹,

Mathur²

2019

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“…Maximum In-Degree Jugindro (24), Ch. Borajao (14), James (14), KhIbocha Singh (12), M Kunje (10) L. Ibocha (22), Leimba (10), K Koken (9), N Shyamjai (9) Biren (9) ThBrajamohan (10), ChThambalngou (9), NgankhamChouba (8), Lourembam Kumar 7Y.Bhogendro…”

Section: Network Measuresmentioning

confidence: 99%

“…Rice is the staple principal food crop of the North East Region. Among the North Eastern States, Manipur stands third in area and production [14]. Population has increased by 12.05% during 2001-2011, whereas the state has registered negative annual growth (-0.48%) in the case of area under rice during 2000-01 to 2011-12 [15].…”

Section: Introductionmentioning

confidence: 99%

Farmers’ Network Analysis on Diffusion and Adoption of CAU-R1 Variety in Imphal East District of Manipur

Jyothi

Devarani

2019

CJAST

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Food security with increased and sustained production of the major cereal crops in India is the need of the hour. The role of farmers as informal extension agents has been depicted in many recent studies emphasising the need for studies on network linkages between the farmer communities and the stakeholders in dissemination and adoption of improved technologies. The present study has been conducted to understand the role of social networks in the diffusion of CAU-R1 variety among the farmers of Manipur. The research design employed was exploratory and the sampling procedure was mixed sampling with purposive sampling for the selection of the state, district and key farmers. Snowball sampling was used to identify other farmers in the network. The sample size was 64 farmers from eight villages in Imphal East district. The socio-economic profile of the farmers showed that majority belonged to medium age between 36 years to 50 years, medium level of innovativeness, social participation, cosmopoliteness and risk bearing ability. The Social Network Analysis measures employed for the study were the centrality measures that include the degree, closeness and betweenness centrality to identify the most central, influential and powerful actors in the network. The average in-degree and out-degree was found to be equal for all the villages with a maximum degree centrality of 16. The betweenness centralization index of the networks was very low (24.55%) indicating very slow rate of spread of information and information sharing restricted only between few actors in the network. Social participation and trainings were positively correlated while the farming experience and time taken for adoption were negatively correlated with the network measures. The outcomes revealed that there is need for a more concerted effort by the farmers and stakeholders to sensitize farmers about the variety through exposure visits, trainings, incentives and timely input supply.

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“…In order to measure the percentage contribution of area, productivity and their interaction towards the production of foodgrains, vegetables and fruits, the technique of decomposition has been adopted as used by several researchers (Bastine and Palanisami, 1994;Bhatnagar and Nandal, 1994;Mundinamani et al, 1995, Kalamkar et al, 2002, Roy et al, 2015.The change in the production of Vegetables between any time periods can be expressed as Change in production=Productivity effect + Area effect+ Interaction effect…”

Section: Methodsmentioning

confidence: 99%

A Study on the performance of Agricultural Sector in India

Priscilla

Balakrishnan

Lalrinsangpuii

et al. 2017

IJARe

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The time series data at all India level on area, production and productivity of foodgrains, production and per capita availability of milk and eggs and production of meat were compiled and a decade wise analysis of growth rate, instability index and decomposition analysis was done to study the performance of agriculture sector. During the overall period, the area under food grains showed negative growth whereas production and productivity growth was positive. For milk and egg, both production and per capita availability showed positive growth. Meat production showed a positively significant growth rate. Growth rate in area, production and productivity of both vegetables and fruits was positive. In general, for foodgrains, the yield effect was higher than the area effect which could be attributed to increased use of high yielding varieties. For vegetables and fruits, the contribution of area effect was more than that of yield and the interaction effect suggesting that measures should be taken to improve their productivity.

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Food Security in North-East Region of India — A State-wise Analysis

Cited by 25 publications

References 0 publications

Playing to Strengths: A Policy Framework for Mainstreaming Northeast India

Playing to Strengths: A Policy Framework for Mainstreaming Northeast India

Farmers’ Network Analysis on Diffusion and Adoption of CAU-R1 Variety in Imphal East District of Manipur

A Study on the performance of Agricultural Sector in India

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