The dynamic effects of price support policy on price volatility: The case of the rice market in China

2021 ◽  
Author(s):  
Jian Li ◽  
Jean‐Paul Chavas ◽  
Chongguang Li
Keyword(s):  
Price Volatility ◽  
Dynamic Effects ◽  
Price Support ◽  
Rice Market ◽  
Support Policy

scholarly journals Effect of Grain Price Support Policy in China : A Grey Relational Analysis

10.5109/27382 ◽  
2013 ◽  
Vol 58 (2) ◽  
pp. 485-491
Author(s):  
Jiarong Qian ◽  
Shoichi Ito ◽  
Yueying Mu ◽  
Hiroshi Isoda
Keyword(s):  
Grey Relational Analysis ◽  
Price Support ◽  
Relational Analysis ◽  
Support Policy ◽  
Grey Relational

scholarly journals Does the Price Support Policy Drive a Balanced Distribution of Profits in the Chinese Dairy Supply Chain? Implications for Supplier and Consumer Psychology

2021 ◽  
Vol 12 ◽  
Author(s):  
Feng Hu ◽  
Xun Xi ◽  
Rongjian Yu ◽  
Rong Xiang ◽  
Yueyue Zhang ◽  
...  
Keyword(s):  
Sustainable Development ◽  
Supply Chain ◽  
Consumer Psychology ◽  
Raw Milk ◽  
Price Increase ◽  
Price Support ◽  
The Sustainable Development ◽  
Balanced Distribution ◽  
Support Policy ◽  
The Impact

Evaluating the price policy of raw milk is of great significance to the sustainable development of an industry supply chain. In this context, our study used the multi-period difference-in-difference method to systematically examine the impact of the policy implementation on product price and profit distribution in the supply chain. The results showed the following: (1) the price of raw milk in the implementation area of the price support policy is 13.54% higher than that of the unimplemented area; (2) the effect of price increase in the western region (15.5%) is higher than that in the eastern region (13%), and the central region (10.73%); (3) furthermore, the purchase price guidance policy of raw milk drives price increase or price suppression in the links of the supply chain to promote a balanced distribution of profits among the participants in the chain. These conclusions all have good stability and have reference significance for further improving and adjusting the price support policy of raw milk to realize the sustainable development of the Chinese dairy industry. This will enhance the production confidence of Chinese raw milk producers and improve Chinese consumers’ expectations and consumer psychology regarding domestic dairy products.

Forecasting Models Based on Data Analytics for Predicting Rice Price Volatility: A Case Study of the Sri Lankan Rice Market

2019 ◽  
Vol 18 (01) ◽  
pp. 1950006 ◽  
Author(s):  
Chanchala Hathurusingha ◽  
Neda Abdelhamid ◽  
David Airehrour
Keyword(s):  
Price Volatility ◽  
Economic Factors ◽  
Sri Lankan ◽  
Price Variation ◽  
Rice Market ◽  
Rice Price ◽  
Relationship Of ◽  
The Relationship ◽  
Viable Mechanism

Paddy rice is a staple food that is common among the Sri Lankan populace. However, the frequent price variation of rice has negatively impacted the Sri Lankan economy. This is due to the Sri Lankan rice market lacking the mechanisms to evaluate and predict future rice price variations, often leaving domestic traders and consumers affected by sudden price spikes. This study identifies the quantifiable economic factors that affect the sudden rice price variations and presents a viable mechanism for forecasting Domestic Rice Price (DRP). In addition, it establishes three different regression models to emphasise the relationship of DRP in Sri Lanka with three economic factors: International Rice Price (IRP), International Crude Oil Price (ICOP), and USD Exchange Rate. Further, a time series model is formulated to forecast future variations in DRP while advancing factors that have a significant, but negative, correlative impact on the DRP. The results presented in this study show that the models proposed can be used by relevant food authorities to predict sudden hikes and dips in DRP, allowing them to establish a robust price control system.

Discussion: Canada's Price Support Policy and Its Performance

1956 ◽  
Vol 38 (5) ◽  
pp. 1719
Author(s):  
Helen C. Farnsworth
Keyword(s):  
Price Support ◽  
Support Policy

scholarly journals Leveraging Policies for Self Sufficiency in Pulses in India

2018 ◽  
Vol 3 (2) ◽  
pp. 155-178
Author(s):  
Ranjit Kumar ◽  
K. V. Raju
Keyword(s):  
Paradigm Shift ◽  
Total Production ◽  
Price Support ◽  
Nutritional Security ◽  
The Past ◽  
Self Sufficiency ◽  
Support Policy ◽  
Research Organisations ◽  
Indian Diet

Although pulses are a major source of protein integral to the Indian diet, there has been a consistent demand–supply gap. Barring the last five years, total production of pulses remained stagnant at 12–14 million tonnes (mt) over the past five decades. Over the last 20 years, more than 550 improved varieties of different maturity periods and for different regions have been released by public research organisations, but the availability of quality seeds remained a serious concern, thereby resulting in yield uncertainty. The domestic supply fell short by 3–4 mt every year. Also, owing to increased consumption by the diet-conscious growing urban population in India, prices rose by 150 per cent to 200 per cent in recent years. The supportive trade policy has cooled down the pulses price during the deficit year, while encouraging price support policy and good monsoon helped in a big way to allocate 20 per cent more area to the crop, which resulted in record pulses production of 23 mt in 2016–2017. This article captures the influence of government policy on pulses production and suggests paradigm shift in strategy through short-, medium- and long-term plans to achieve self-sufficiency in pulses production and ensure nutritional security for population.

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