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The study was conducted to find the fluctuation in the prices and arrival of the selected high value agricultural commodities. The study was conducted for the period 2004-2020 by collecting secondary data from CMIE (Centre for Monitoring Indian Economy) database. The major agricultural commodities were selected purposively on the basis of high price fluctuatiion and arrivals in the market. The commodities selected for the study include, castor seed, coriander, jeera, soybean and turmeric. The results of the study showed that there is a positive and significant relationship between growth rate and the prices of selected commodities with Jeera showing the highest growth rate of (9.87%) in arrival followed by turmeric (9.05%) and the lowest in coriander (5.06%) as against the prices where it showed all together with a different scenario with highest in case of coriander (7.55%) followed by soybean (7.24%) and lowest in jeera with (5.69%) respectively. The results of the findings revealed that in all the commodities high seasonal indices were observed from March to June indicating high post-harvest arrivals during these months. In the case of soybean and turmeric, the seasonal index for prices is high in April to September, which reveals that there is a lack of storage facilities and the production during these months is very low. This study suggested improvement in the infrastructure, storage, and post-harvest techniques so that the arrivals of these commodities get increased and availability should be throughout the year so that the price fluctuation can be minimized. [ABSTRACT FROM AUTHOR]

Objectives Vital to implementation of the World Health Organization (WHO) Safe Childbirth Checklist (SCC), designed to improve delivery of 28 essential birth practices (EBPs), is the availability of safe birth supplies: 22 EBPs on the SCC require one or more supplies. Mapping availability of these supplies can determine the scope of shortages and need for supply chain strengthening. Methods A cross-sectional survey on the availability of functional and/or unexpired supplies was assessed in 284 public-sector facilities in 38 districts in Uttar Pradesh, India. The twenty-three supplies were categorized into three non-mutually exclusive groups: maternal (8), newborn (9), and infection control (6). Proportions and mean number of supplies available were calculated; means were compared across facility types using t-tests and across districts using a one-way ANOVA. Log-linear regression was used to evaluate facility characteristics associated with supply availability. Results Across 284 sites, an average of 16.9 (73.5%) of 23 basic childbirth supplies were available: 63.4% of maternal supplies, 79.1% of newborn supplies, and 78.7% of infection control supplies. No facility had all 23 supplies available and only 8.5% had all four medicines assessed. Significant variability was observed by facility type and district. In the linear model, facility type and distance from district hospital were significant predictors of higher supply availability. Conclusions for Practice In Uttar Pradesh, more remote sites, and primary and community health centers, were at higher risk of supply shortages. Supply chain management must be improved for facility-based delivery and quality of care initiatives to reduce maternal and neonatal harm. [ABSTRACT FROM AUTHOR]