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Examines the interrelationship between price, product and investment policy and costs, interdependence of product and price polices, and the effect of fluctuation in economy. Posits that there are several intrusive factors operating on this system of relationships with respect to the sales market, e. g. the state of the economy, competition and technical advances. Identifies three strategies which may be employed in the case of changeover from one state to another. Concludes that the policy employed by an organization is dependent on the market position of a product and its durability pre‐recession.

1. INTRODUCTION The recent proliferation of literature on the problems inherent in inflation, unemployment and incomes policy does not lag far behind the rate of inflation that initially prompted it. Before we get into the discussion of incomes and prices policies, it will be advisable to (a) present some evidence on the wage‐price‐unemployment behaviour in selected industrialised countries and (b) discuss theoretical and empirical results which have led to the conclusion that monetary and fiscal policies will not be adequate to meet the current inflationary problems. The first should provide substance to the claim that inflation has increased over time and has now become a more critical problem; the second should throw some light on the nature of current controversy on inflation and why mixed economies should need to supplement monetary and fiscal policies by other policies to provide themselves with a better trade‐off between inflation and unemployment. Accordingly, we will (1) describe recent wage‐price‐unemployment experience in selected industrialised countries, (2) discuss theoretical and empirical issues involved in the study of wage‐price‐unemployment behaviour, and (3) present the rationale advanced for an incomes policy, and discuss the past experiences of countries which have experimented with incomes policies and conclude with the suggestion that incomes policy and manpower policy be considered as complementary.

This research seeks to identify three dimensions of price differential policies that influence judgments of the distributive, procedural, and informational justice of the policies and of the trustworthiness of the seller.

Four price differential policies were compared in a between‐subjects design. Subjects responded to scenarios in which they paid more than a friend for the same product because of a particular policy. Policies were compared on perceptions of fairness (using the social justice framework) and on perceptions of the seller's benevolence and credibility.

Consumer judgments of the informational and procedural justice of each policy depend on three key policy dimensions: whether or not all consumers are informed about how a discount could be obtained; whether consumers who received the discount were pre‐selected on the basis of their traits versus whether they received the discount because of some aspect of their transaction process behavior; and whether or not consumers could influence the amount of the price differential. Additionally, perceptions of procedural justice and informational justice have differential influence on the credibility and benevolence dimensions of trust.

The research offers the first empirically based generalizations about designing price differential policies that can minimize negative consumer judgments of the policy and of the seller. Additionally, the use of a social justice framework yields important insights on the multidimensional nature and consequences of fairness judgments.

The purpose of this paper is to provide a framework to help e‐marketers to find an optimal returns policy and pricing strategy in order to maximize their profits.

A profit‐maximization model is developed to determine the optimal returns policy and pricing strategy for e‐marketers.

The author demonstrates that an optimal returns policy and pricing strategy exists when firms sell products through an e‐market. When a firm uses an e‐market to sell its product, its optimal returns policy and pricing strategy is to offer a more generous returns policy and to charge a higher price when the product web‐fit is strong. Furthermore, the results also show that while the returns policy always is valuable for the e‐marketer, the value of returns policy increases with the product web‐fit.

The present study assumed that all consumers have perfect information. However, information to the consumers could be incomplete. It is recommended that future research explores returns policy and pricing strategy under an incomplete information setting.

This paper provides a very useful model framework, returns policy and pricing strategy for business managers who are using or planning to use the e‐market to sell their products.

This paper fills a conceptual and practical gap for a structured analysis of the current state of knowledge about returns policy and pricing strategy in e‐business. The paper provides practical, solid advice and examples that demonstrate the application of the optimal strategies for e‐business managers.

The purposes of this paper is to propose a customer returns model in a dual-channel supply chain where a customer can return the purchased product to the retailer or the manufacturer and obtain an equilibrium of selling prices and refund prices and the optimal profit when considering customer returns in the centralized and decentralized dual-channel supply chain.

This paper mainly uses the game theory technique to analyze the problem. The manufacturer and the retailer are vertically integrated in the traditional channel, and the results of the centralized dual-channel supply chain are obtained. Then, the Stackelberg game was adopted to analyze the decentralized dual-channel supply chain. Finally, the detailed numerical simulation is proposed to obtain straight-forward insights for the industrial managers.

The mathematic analysis used shows that the main findings of this paper are: in the centralized scenario, the retailer and the manufacturer will charge higher selling prices when they offer return policy, and the demand for each channel increases, which results in higher profit; and the price and refund price of the direct channel in the centralized and decentralized dual-channel are the same, respectively.

Most previous literatures highlight that return policy plays an important role in supply chain which considering one channel. But there is no study on the customer return policy in dual-channel supply chain. This paper is a further step to model the effects of customer returns policy on the pricing policy and optimize the profits in a dual-channel supply chain. This paper analyzes the pricing and refund strategies and gets an equilibrium in the centralized and decentralized dual-channel supply chain scenarios.

The purpose of this paper is to explore the pricing policies that service companies adopt along with the pricing information that they gather to set their prices. Despite previous authors' suggestions regarding the need for a coherent process when setting prices, there seems to be a lack of empirically‐based theory on how pricing policies and pricing information might be interrelated.

Following 26 in‐depth exploratory interviews, additional personal interview data were collected from 170 companies operating in six different services sectors in Greece.

The paper finds that “list pricing” is the only policy that is adopted by the majority of the surveyed companies. Further, they tend to collect more than one type of information giving particular emphasis on market‐based information. The “customer‐based” information was found to be associated positively with the policy of “cash discounts”, while the “competition‐based” information with the policies of “trade discounts” and “differentiated pricing”. Moreover, the “cost‐based information” is associated positively with the “cash discounts” and “efficiency pricing” policies and negatively with the “loss leader pricing” policy.

The findings refer to the need for a “balanced” market‐oriented and “situation‐specific” approach when setting prices The significance of these findings notwithstanding, the context of the study (Greece) is the most important caveat since it limits the ability to generalize the results in other countries.

The paper represents the first attempt to examine empirically the potential relationship between pricing policies and pricing information.

The purpose of this paper is to quantify the implications of China's recently adopted agricultural policies on domestic and international commodity markets.

A systematic, quantitative analysis is applied to address whether China's recent trade and production policies distort China's domestic and international commodity markets. The paper provides a clear picture of how trade‐restricting policies affect markets using a 42‐country partial equilibrium global dynamic agricultural simulation model.

The paper shows that recent agricultural policy reforms increase China's production slightly, causing imports to decrease while exports decline because of input subsidies, export taxes and the reduction of export value added tax rebates. Domestic prices to consumers decrease in real terms. The effects on world markets are small as the set of policies adopted partially offset each other in the international arena.

The paper indicates that the adoption of the policy reforms lower price levels domestically and benefit lower income urban and rural households, whose diets are largely based on rice and wheat as staple foods. Future model enhancements should include measures of producer and consumer welfare in order to capture the total impacts of policies and policy changes in China.

The paper quantifies the potential implications of the recent agricultural policy reforms in China. This contributes to the investigation of the effects of these policies implemented by the Chinese Government to achieve the country's policy objectives. Owing to the dynamics of China's policy implementation an in‐depth analysis sheds light and contributes to capturing the impacts of policy reforms on the domestic and international markets.

This study aims to develop a price policy for fossil fuel consumption, as it is an effective instrument to manage the demand-side of energy economics.

This research estimates the demand elasticities of diesel, gasoline, fuel oil and kerosene by using static, dynamic and error-correction models in log-linear form.

The findings show that fossil fuel demand responds to price changes less than income changes, as fuel price is inelastic, but income is elastic. In that respect, the impact of price change decreases constantly with increasing energy price, followed by subsidy reform. Subsidy removal and price policy reformation is the UN recommendation for subsidizing countries, including Iran, to reduce fossil fuel consumption, whose intensity depends on the price elasticities.

As a result of this price policy, diesel, gasoline and liquefied petroleum gas prices should increase at least 1.8%–7.3%, 4.4%–6.4% and 7%–8.6%, respectively, and gradually within 2018–2030. The price policy improves all the pillars of sustainable development, including economy, environment and social (health). Overall, such a target can potentially save 3%–29% of diesel, 34%–56% of gasoline and 15%–20% of liquefied petroleum gas, as well as reduce 15%–40% of CO₂ emissions annually, and can save potentially more than 510,000 lives annually. Thus, the energy price policy can fundamentally improve sustainability.

The estimated elasticities outline the required prices to decrease the fossil fuels, according to the UN mitigation targets, as price policy recommendation.