Market Arrivals Research Articles

Oil Palm in India: Market Arrivals and Price Movements

Oil palm is native to West Africa. It is one of nine major oils traded in the global edible oil. The study focuses on the trends in oil palm arrivals and market prices in India, particularly in Andhra Pradesh and Telangana states. There was a significant increase in annual oil palm arrivals from in Andhra Pradesh and Telangana, with a percentage change of 92.43% and 84.83% respectively. This increase was statistically significant at a 10% level, R² values are 0.9243 and 0.8483 respectively. A linear trend analysis for prices of oil palm from 2010 to 2022 indicated a consistent rise in oil palm prices in both states, with Andhra Pradesh seeing an annual increase of 737.05 Rupees and Telangana 757.72 Rupees. The percentage change in prices was 59.18% and 66.08% respectively, with R² values of 0.5918 and 0.6608. Positive and significant correlation coefficient is observed in both the states. Seasonal variations in prices were also analyzed, highlighting that oil palm prices were typically drop after harvest it is influenced by peak harvesting periods and imports of crude oil from other countries. In Andhra Pradesh, the seasonal price index for oil palm Fresh Fruit Bunches (FFBs) was highest in May and April months, then decreased to a minimum level due to increase in the oil palm arrivals. Understanding these seasonal patterns is crucial for effective decision-making by farmers, traders, and policymakers.

A Trend Analysis of Crop Production, Market Arrival and Prices in Meghalaya, India

A Trend Analysis of Crop Production, Market Arrival and Prices in Meghalaya, India

Evaluation of the behavior of prices and market arrivals of tomatoes – A case study of West Bengal, India

The oscillations in prices and arrivals of agricultural goods are primarily influenced by the seasonal character of the agricultural production system. Here, we investigate the trends and seasonal price dynamics concerning market arrivals of tomatoes in West Bengal, India. Monthly data on arrivals and prices of tomatoes were collected between 2013-14 and 2019-20. Both the ordinary least square and the twelve-month moving average techniques were employed to identify the long-term trends and seasonal variations in price and arrival patterns. The market arrivals exhibit negative trends in three markets, except for Barasat and Bardhaman, where the observed values are not statistically significant. However, the lone market in Diamond Harbour shows a positive and significant trend in arrivals. Regarding current prices, all markets, except for Chakdah and Siliguri, exhibit positive and significant trend. Seasonality is more prominent in market arrivals than the price for all the markets. Results suggest the variability in arrivals is proportional to the number of arrivals in the market, in turn, larger arrivals lead to higher variability. Price variations are substantial and exhibit relative stability both within and across markets, unlike arrivals which show more fluctuation. Price fluctuations are significant not only within a given year but also between different years. Additionally, an inverse relationship between current prices and market arrivals suggest as arrivals increase, prices tend to decrease and vice versa. The study provides new insights into the trends in market arrivals and seasonal price dynamics of tomatoes in West Bengal, eastern India.

Relationship between Prices and Market Arrivals of Gram in Madhya Pradesh

Taking these aspects into consideration current investigation was performed by acquiring monthly wholesale prices of gram in Madhya Pradesh. This analysis was centred on the secondary data regarding relationship between prices and market arrivals of gram in designated Agricultural Produce Market Committee (A.P.M.Cs) of Madhya Pradesh during the span of a decades from 2012-13 to 2021-22. Maximum significant association between prices and arrivals was seen in Vidisha mandi during eight years (2012-13, 2013-14, 2014-15, 2015-16, 2016-17, 2017-18, 2020-21 and 2021-22) while it was non-significant only in two years in Vidisha mandi (2018-19 & 2019-20). Followed by Raisen and Bhopal mandies during six years. Only in Vidisha and Bhopal mandies the correlation between arrivals and price showed a negative relationship (-0.2330 and -0.0327) and was statistically significant while it was statistically non-significant in Raisen mandi. Market arrivals were maximum in Vidisha mandi alongside monthly average of 1563.04 qt and minimum in Bhopal with the mean of 22.67 quintal per month. Coefficient of variation was computed to study the variations in monthly prices and arrivals gram during 2012-13 to 2021-22. Price variability coefficient of gram was originally peak (49.41%) in Vidisha, followed by (23.51%) Raisen and Bhopal (19.37%) from 2012-13 to 2021-22. The highest variation in arrivals was in Vidisha (49.41%) followed by Bhopal (44.73%) and Raisen (40.93%).

An Analysis of Market Arrivals and Price Behavior of Coriander in Madhya Pradesh, India

The current research embarked on analysing wholesale prices of coriander in Madhya Pradesh spanning a decade from 2012-13 to 2021-22, sourced from specific A.P.M.Cs. The examination predominantly relied on secondary data regarding coriander arrivals and prices. Results uncovered a positive regression coefficient (β) correlated with time (T), indicating a consistent upward trend in wholesale coriander prices in Madhya Pradesh. Annual prices of coriander in Ashok Nagar, Guna, and Bhopal markets exhibited two cycles, one spanning 7 years and the other 2 years. Across all selected markets, a similar irregular fluctuation pattern observed in yearly coriander prices, lacking any distinct periodicity. Seasonal analysis revealed varying patterns in coriander prices across Bhopal, Ashok Nagar, and Guna markets, with no stable trend discernible. The Seasonal price variation of coriander in these markets was lowermost in January and remained relatively less throughout the sowing time. Coriander arrivals conspicuously dispersed more evenly in Bhopal market compared to the other two. In terms of IPR (Index of Price Relative), significant price variability was observed; with Guna market exhibiting the highest and Ashok Nagar market the lowest variability. Conversely, ASPV (Average Seasonal Price Variation) showed an inverse relationship with IPR, with Ashok Nagar market experiencing the maximum price variation among all selected markets.

An Assessment of the Weather and Technological Change on Agriculture Revenue of Maize Crop in Karnataka

Presently the agriculture economy influenced by the weather and technological implication. In state maize has occupied top fourth place (10.79%) in total area of cultivation, is highly sowing in rainfed area (65.94%). Study estimates the revenues over a period form 2002-2018 and estimated moving average of revenue to the capital-intensive technology and labor- intensive technology based on the market arrivals data. The implication of capital-intensive technology in agriculture production brings higher output than labor intensive technology even a change in weather, but not more than 2010. The study found that changes in production to the weather and technology has direct relation, but weather negatively impacts on maize crop. Due to the weather extreme events, the prices have positive relation with drought and inverse relation to quantity arrival and rainfall helps to maintain economic stability by the consumer and producer surplus with higher income. To fulfill the loss of agriculture output and to reduce the risks from weather extreme events Maize was converting commercially as a food crop, it greatly caused to increase the amount of cultivation and revenue to the farmers across the State.

Assessment of Variability and Seasonal Patterns in Lemon Arrivals and Prices across India

The current study examined the variability and seasonal patterns in lemon arrivals and prices across the significant lemon-producing states in India from 2013 to 2022. Six important markets (Tenali, Surat, Pune, Udipi, Attabira, and Lashkar) in the country, one from each of the selected states, were chosen based on their annual market arrivals of lemons. The variability measured through the Cuddy-Della-Valle index showed similar price behaviour in all the selected markets, with the highest price variability during the peak season. The price behaviour of lemons showed a significant positive trend in all selected markets. Seasonal indices for market arrivals were highest during the peak harvesting season of lemons, with the Tenali market demonstrating the highest seasonal variation among all the selected markets. The prices were high during the off period of arrivals.

Did Covid-19 Impacted Market Arrivals and Prices of Major Food Commodities in India: Evidence from Extended Time Series Analysis

Did Covid-19 Impacted Market Arrivals and Prices of Major Food Commodities in India: Evidence from Extended Time Series Analysis

Temporal analysis of tomato prices and arrivals in Karnataka: Insights from SARIMA mode

This study analysed the price behaviour of tomatoes in five major markets of Karnataka. Statistical tools such as correlation, seasonal index, and trend analysis were employed to examine the relationship between prices and market arrivals, seasonal variations, and patterns in tomato prices. Positive correlations were observed in some markets in Karnataka, likely due to the demand-supply gap, differences in tomato quality, and transportation costs. Among the selected markets, Binny Mill exhibited the highest intra-year price fluctuations, while Chikkamagalore experienced the lowest. The upward movement of the trend lines in Chikkamagalore, Ramanagara, and Kolar indicates a strong relationship between the two variables, possibly due to increased demand and limited supply. Consequently, the SARIMA model was employed to forecast tomato prices in the primary markets of Karnataka. The predicted prices for Karnataka markets decreased substantially in May but increased in June and July. Deviations between the forecasted and actual prices for 2023 suggested that market dynamics such as erratic supply, demand fluctuations, and other external factors might not be fully captured by the SARIMA models. Advanced model predictions are recommended to enhance forecasting accuracy and better account for complex market behaviours in crops like tomatoes. Keywords: Market arrival, price forecast, seasonality, trend. JEL Codes: B16, C32, C53, C55.

Market Arrivals and Price Behavior of Wheat in Major Markets of India

Behaviour of prices of agricultural commodities results from the basic characteristics of agricultural sector and farm products. This study is based on the secondary data of 15 years from 2007-08 to 2021-22 which was collected from www.agmarknet.gov.in. For the analytical framework, the linear trend equation was used to study the trend in arrivals and prices. During the study period, the pattern of trend in arrivals and prices was differed across the selected markets. All the selected market for wheat showed increasing trend in arrivals and prices over the years. The per annum increase in the arrivals of wheat in Lakhimpur market was the highest at 1884.86 quintals followed by Vidisha, Baran, Dewas, Kota and Agra markets at 1394.74, 942.65, 782.61, 389.19 and 56.53 quintals respectively. The quantum of increase in the arrivals of wheat might be due to the increased production in these regions. Increased productivity and arrivals was attributable to introduction of high yielding varieties, technological advancement, increased demand for wheat in the international market, prices lead to better productivity realization by farmers in the surrounding hinterlands of Lakhimpur, Vidisha, Baran and Dewas area and supplied to these markets. Market arrivals registered lowest quantum of increase in Agra and Kota markets. The lowest quantum of increase in arrivals of wheat might be due to increasing heat stress, other problems experienced by producers in production level and shift in cropping pattern of the farmers towards other commercial crops in those regions. Seasonal indices of arrivals and prices of wheat in selected markets revealed that when the arrivals of wheat to the market were high, the prices were found to be low i.e., March to June. Seasonal price indices of wheat indicate that the price realized by farmers was low during the post- harvest month. Hence, infrastructural facilities like warehouses and market extension services have to be strengthened for encouraging and bringing awareness among the farming community about the availability of warehouses and marketing credit to reap the better benefits.

International Quality Award Models: Innovation Enablers or Inhibitors?

Historical development of models and criteria supporting major international quality awards is driven more by continuous or incremental improvement than by breakthrough improvement. This has been the case in particular relative the most enduring such awards - the European Foundation for Quality Management (EFQM) Business Excellence Award, America’s Baldrige National Quality Award for Performance Excellence (MBNQA), and the Shingo Prize for Operational Excellence. In possible contrast are initiatives such as the United Nations Sustainable Development Goals (UN SDGs) and the imputed urgency for improvement, innovation and change associated with these, due in large to the sheer scope and magnitude of change needed – especially with respect to societal or environmental challenges. While sufficiently rapid iteration across a large enough number of cycles has the potential of rivaling the magnitude of innovation attained through a focus on breakthrough improvement, such an approach is unlikely to precisely match the destination of innovation attained through breakthrough improvement approaches. One significant reason is that incremental improvements often target minor course corrections with well-defined trajectories, whereas breakthrough efforts target larger strides with more mystery between the point of origination and the targeted destination. Differences in these approaches impact products and services reaching the market in many ways, hence impacting their marketplace performance. Among differences of note are ones in the natures of the product or service brought to market, the timing of their market arrival, the levels of creativity and innovation required, design innovations introduced, consumer receptivity and perception of iteration vs. innovation, perceived impact, consumer perception of the company, and – not to be ignored – risk and reward elements. Questions explored herein are whether the models and criteria used by international quality award frameworks enable innovation and entre-intrapreneurship, inhibit these, or are innovation and entre-intrapreneurial neutral. Similarly, the impact of the UN SDGs in relation to innovation are discussed.

Seasonal Variations And Forecasting In Wholesale Prices Of Okra In Surat Market Of Gujarat, India

The analysis of prices and market arrivals over time is important for formulating a sound agricultural price policy. Fluctuations in market arrivals largely contribute to price instability. In order to devise the appropriate ways and means for reducing the price fluctuations of agricultural commodities, there is a need to have a thorough understanding of the price behavior over time.Forecasting the price of agricultural commodities, presents some unique challenges such as data quality issues, weather aberrations, high fluctuations, price variations across neighboring marketplaces, etc. On the demand side, the instability in the prices of agricultural commodities is influenced by a number of factors such as annual variation in production, low price elasticity of demand and seasonality of agricultural production.The study relied upon the secondary time series data on monthly market prices and arrivals of Okra collected from the Agricultural Produce Market Committee, Surat. Analysis was performed on the monthly and annual time series data on wholesale price to develop reliable forecast for 2022. Month wise Seasonal indices of Okra in the Surat market showed that the seasonal price indices were above average from November to March while below average from May to October when market arrivals are more. The seasonal pattern showed that prices declined from April to October and reached the lowest point in May and reached peak in December. Seasonal fluctuations were observed both in market arrivals as well as prices of Okra. In the present investigation, various Seasonal, Non-seasonal, and Seasonal ARIMA (Box-Jenkins) models were developed to measure the forecast accuracy. The best model was chosen on the basis of the least values of Schwarz Bayesian criteria (SBC) and Mean absolute percentage error (MAPE). After performing a series of diagnostic tests, it was observed that N-BIC (12.417) and MAPE (22.88) were the least for SARIMA (0,0,2) (0,1,1)12 model. It came out to be the most representative model for the price of Okra in the Surat market. The model can be used for reaching dependable price forecasts. The quantification of these aspects in the vegetables is an immediate need to formulate effective policies to make prices stable thereby safeguard the interest of the farmers as well as the consumer.

Food supply chains and resilience to shocks: Evidence from India's COVID‐19 lockdown

AbstractWe study the disruption of food supply to households and reduced farm‐to‐market arrivals in India's food supply chain during the COVID‐19 lockdown. We focus on the relationship between logistics quality (and performance) and the intensity of disruptions across India's states. We find four policy‐relevant findings: (1) Food consumption expenditure was higher in states with better logistics quality; (2) These states recovered more quickly from farm‐to‐market disruptions with higher agricultural market arrivals in the later phases of the lockdown; (3) Rural food supply chains turned out to be as vulnerable as urban ones; and (4) Expenditure on cereals and pulses faced large reductions.

Market Arrival and Price Behaviour of Potato in Tripura, India

"The study is undertaken in Tripura on a macro framework based on secondary data. There are eight districts in Tripura and potato is cultivated in all districts. Two districts viz., West Tripura and South Tripura districts are selected purposively based on higher and lower production. Accordingly, an effort is made in this study to examine the behaviour of arrivals and prices of potato in Tripura. Production of potato and the seasonality in production are the two important factors affecting the price. It observes that the area of potato has increased at the rate of 3.14 percent and 2.04 percent per annum in West and South Tripura districts respectively. Similarly,

Arrival and Price of Potato in Assam: A Zonal Perspective

"The present study was performed to analyse the growth rate and variation (instability) in arrival and price of potato in Assam. The study was conducted for five major markets and five zones of Assam. It was based on secondary data on daily market arrival and daily wholesale price of potato collected from www.agmarknet.com for the period 2010-2021. The trend of potato arrival was positively significant in Hojai market. The study observed that there was a positive growth rate in arrival of potato in almost all of the markets primarily after the harvesting months. The price of potato in Barpeta Road, Jorhat and Balugaon markets had exhibited a significant positive high growth rate in the month of January. The seasonality index for arrival had been high during the period December-March which is the main season of potato in Assam. The instability for arrival and price in Barpeta Road and Balugaon markets were much higher than the other markets. It is important to have proper storage facility to minimise the instability."

Variation in Market Arrivals and its Effect on Potato Prices in Various Markets in Odisha

Variation in Market Arrivals and its Effect on Potato Prices in Various Markets in Odisha

Lockdown Impact on Wholesale Prices and Market Arrivals of Potato in Punjab: An Analysis

Lockdown Impact on Wholesale Prices and Market Arrivals of Potato in Punjab: An Analysis

Pattern of market arrivals and prices of soybean in Akola District of Maharashtra, India

In this study, an attempt has been made to study the pattern of market arrivals and prices of Soybean in the Akola district of Maharashtra. The present study was based on the time series data of monthly prices and the arrival of Soybean collected from major APMC’S of Akola district for the period of 10 years i.e. from 2011 to 2020. The study was carried out by employing econometric tools like ADF test, Johansen’s Multiple Co-integration test, ARCH-GARCH model and Granger Causality test used to study price volatility and co-integration among selected markets. The study reveals that there is an inverse relationship between prices and the arrival of Soybean in the selected market of Akola district. The selected markets for Soybean have long-run equilibrium relationship for the prices of Soybean and there exist co-integration among them. The volatility shocks in the prices of Soybean is quite persistent in the selected markets.

TNF-alpha inhibitors biosimilar use in France: a nationwide population-based study using the French National Health Data System

TNF-alpha inhibitors have revolutionized the therapeutic care in chronic inflammatory diseases. Several biosimilar products were commercialized at their patent expiry, substantially decreasing the cost of treatment. This longitudinal descriptive study aimed at assessing infliximab, etanercept and adalimumab biosimilar penetration rates using data of the French National Health Data System. A total of 207,118 new or prevalent users from the date of first biosimilar commercialization in France (respectively January 2015, May 2016 and October 2018) were included in the study and followed until September 30, 2021. Biosimilars represented respectively 78%, 46% and 53% of the overall initiations, and 94%, 66% and 60% last year’s initiations. A total of 46%, 19% and 17% of originator product prevalent users switched for a biosimilar during the follow-up. Biosimilar penetration rate was much higher for infliximab than for its counterparts, due to its hospital delivery modality. Biosimilar initiation and originator-to-biosimilar switch tended to be observed more in rheumatology than in the other specialties. Biosimilar use was mostly consistent across patient socio-demographic characteristics. Biosimilar initiation rate increased rapidly from their market arrival and originator-to-biosimilar switch rate remained moderate, highlighting the need and usefulness of political action and biosimilar use tracking.

Trend Analysis and Seasonal Variability of Market Arrivals and Prices of Rice in West-Bengal

An attempt has been made to study the behavioural pattern of prices and market arrivals for rice by generating a monthly seasonal index of market arrivals and prices for the crop in five selected markets, namely Bardhaman, Siliguri, Contai, Chakdah, and Bishnupur of West Bengal from 2013–14 to 2018–19. It establishes that the month of February has the greatest average monthly arrival, followed by the months of March and May. It has a declining pattern up until October, after which it climbs upward and reaches its peak in February. In case of prices, long term movement over time has a significant increasing trend pattern expect Contai and Siliguri markets. The variability associated with arrival is very high may be due to the uncertain prices and seasonal nature of agricultural production system. But variability related with prices are comparatively less. All five markets have relatively little intra-year price variance. The relationship between market arrival and current price is positive for all markets except Siliguri and Bishnupur where one year lagged price is positively correlated with arrival only for Contai and Bishnupur markets.