Administrative Macidnery for Agricultural Production at the District Level

1967 ◽  
Vol 13 (3) ◽  
pp. 630-636
Author(s):  
R. N. Chopra
2021 ◽  
pp. 132-143
Author(s):  
Avishake Raina ◽  
Vaishali Sharma

Agriculture and its allied activities are the main sources of livelihood in India. Jammu and Kashmir (J&K), a union territory of India is also an agrarian state. More than 70 percent of its population is directly engaged in this sector. Geographically, J&K lies in the Himalayan region and has a huge variation in agro-climate diversity. The climate here varies from sub-tropical in the Jammu division to temperate in the Kashmir division. These climatic variations make it suitable for performing varied cultivation. The productivity of all the major crops in the region has increased manifold since the green revolution but now it is more or less stagnating. Hence, it is useful to examine the productivity of major crops in the union territory. The present paper is an attempt to highlight the overall agricultural production of major food grains crop of J&K from 2000-2001 to 2018-2019. The main focus of the paper is to analyzes the variations in agricultural production and productivity of major crops at the district level in the Jammu division for the period 2010-2011 to 2016-2017. The study is based on secondary data and is empirical in nature. The co-efficient of Variation technique has been used to find out the variations in production and productivity of agricultural crops of the jammu division of J&K. The results show that the overall agricultural production of food grains crops in the region increases over years.It also shows tremendous variations in the production and productivity of the different crops across districts. These variations indicate that there is a need to adopt some specific strategies at the district level for the sustainable development of agricultural growth in the state.


2014 ◽  
Vol 104 (5) ◽  
pp. 278-283 ◽  
Author(s):  
Mark R. Rosenzweig ◽  
Christopher Udry

We look at the effects of rainfall forecasts and realized rainfall on equilibrium agricultural wages over the course of the agricultural production cycle. We show theoretically that a forecast of good weather can lower wages in the planting stage, by lowering ex ante out-migration, and can exacerbate the negative impact of adverse weather on harvest-stage wages. Using Indian household panel data describing early-season migration and district-level planting- and harvest-stage wages over the period 2005-2010, we find results consistent with the model, indicating that rainfall forecasts improve labor allocations on average but exacerbate wage volatility because they are imperfect.


PLoS ONE ◽  
2021 ◽  
Vol 16 (12) ◽  
pp. e0261237
Author(s):  
Deepshikha Dey ◽  
Arup Jana ◽  
Manas Ranjan Pradhan

Malnutrition continues to be a primary concern for researchers and policymakers in India. There is limited scientific research on the effect of agriculture on child nutrition in the country using a large representative sample. To the best of our knowledge, no study has examined the spatial clustering of child malnutrition and its linkage with agricultural production at the district-level in the country. The present study aims to examine agricultural production’s role in improving the nutritional status of Indian children through child feeding practices. The nutritional indicators of children from the National Family Health Survey-4 (2015–16) and the agricultural production data for all the 640 districts of India obtained from the District-Wise Crop Production Statistics (2015–16), published by the Ministry of Agriculture, Government of India were used for the analysis. The statistical analysis was undertaken in STATA (version 14.1). ArcMap (version 10.3), and GeoDa (version 1.8) were used for the spatial analysis. The study found a higher prevalence of malnutrition among children who had not received Minimum Meal Frequency (MMF), Minimum Dietary Diversity (MDD), and Minimum Acceptable Diet (MAD). Further, child feeding practices- MMF, MDD, and MAD- were positively associated with high yield rates of spices and cereals. The yield rate of cash crops, on the contrary, harmed child feeding practices. Production of pulses had a significant positive effect on MDD and MAD. Districts with high cereal yield rates ensured that children receive MMF and MAD. There is a significant spatial association between child feeding practices and malnutrition across Indian districts. The study suggests that adopting nutrient-sensitive agriculture may be the best approach to improving children’s nutritional status.


2017 ◽  
Vol 46 (4) ◽  
pp. 279-288
Author(s):  
Todd Benson

Obtaining empirical evidence on the importance of agriculture in determining nutritional status is difficult, as there are few data sets that contain information on both nutrition outcomes and the agricultural livelihoods of survey respondents. Here we take advantage of the fact that the Demographic and Health Survey fielded in Malawi in 2010, which collected detailed information on nutrition outcomes, used comparable survey strata to a household consumption and expenditure survey in 2010–2011 that collected extensive information on agricultural production. While the samples for the two surveys involved different households, the results of both are representative at district level. Using a non-parametric rank correlation approach, we use the district-level results from the surveys to examine whether there are associations between five aggregate nutritional outcomes and characteristics of agricultural production in 27 districts of Malawi. The analysis is then extended to explore other non-agricultural determinants of nutritional status. Limited associations between aggregate agricultural production and aggregate nutritional outcomes were found, suggesting that the direct relationship between the two is relatively weak in Malawi. Moreover, the sign of many of the associations runs contrary to expectations: in some cases, strengthened agricultural livelihoods are negatively related to nutritional outcomes. When the analysis is extended to consider non-agricultural determinants of nutritional status, slightly stronger associations are found – aggregated measures of women’s empowerment, the availability of food and micronutrients and measures of household wealth are positively related to aggregate nutrition outcomes. Nonetheless, this analysis should be treated as exploratory. It is presented to stimulate more detailed examination of the association in Malawi between nutrition outcomes and agriculture using individual- and household-level data.


2020 ◽  
Author(s):  
Josue Medellin-Azuara ◽  
Alvar Escriva-Bou ◽  
Jose Rodriguez-Flores ◽  
Jorge Valero-Fandino ◽  
Spencer Cole

<p>Groundwater is a major source for irrigated agriculture yet often managed unsustainably. Groundater overdraft compromises future viability of irrigated agriculture, water for cities, streams baseflows and groundwater dependent ecosystems. The recent 2012-2016 California drought heightened the role of groundwater as a buffer resource and catalyzed the 2014 Sustainable Groundwater Management Act (SGMA). Under this regulation, by 2040 all groundwater basins need to achieve balance in recharge and extractions. Groundwater overdraft in California’s Central Valley accounts for roughly 15 percent of the total agricultural use. The greater Kern region within California’s Central Valley, the most productive region for fruits, nuts and vegetables in the USA, suffers from chronic overdraft and demand hardening due to a rapid increase in perennial crops. This paper presents an integrated multi-objective framework to analyze agricultural production in the greater Kern region as it achieves groundwater sustainability at the irrigation district level by 2040. The model employs a programing model approach with a selection of open access components to predict cropping decisions that maximize net economic returns, using a 1997-2015 calibration period. The agricultural production model bundles with a groundwater module based on the Integrated Water Model Flow model (IWFM) from the California Department of Water Resources to meet sustainability objectives.  Modeling scenarios include SGMA groundwater restrictions, water shortages under climate change and environmental regulations, with and without markets, managed aquifer recharge and infrastructure enhancements. Results show that more flexible water allocations using markets and managed recharge can help mitigate the economic impacts from SGMA and also improve prospects for managing financial risk under economic uncertainty at the irrigation district level.</p>


Author(s):  
Prof.RAE Aliev Z.H.

The current information on moisture and the temperature of the ground in managerial system by production to agricultural product necessary, in the first place, for taking the operative decisions at development ecological clean technology irrigation under growing agricultural cultures to achieve the maximum harvest. Key words: aerospace methods, COW, moisture, moisture test, arable, soil, ecology, vafer humidity, drill, graduation, tool, etc.


2012 ◽  
pp. 132-149 ◽  
Author(s):  
V. Uzun

The article deals with the features of the Russian policy of agriculture support in comparison with the EU and the US policies. Comparative analysis is held considering the scales and levels of collective agriculture support, sources of supporting means, levels and mechanisms of support of agricultural production manufacturers, its consumers, agrarian infrastructure establishments, manufacturers and consumers of each of the principal types of agriculture production. The author makes an attempt to estimate the consequences of Russia’s accession to the World Trade Organization based on a hypothesis that this will result in unification of the manufacturers and consumers’ protection levels in Russia with the countries that have long been WTO members.


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