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This paper aims to investigate how competition among online auction sellers influences the setting of both open and secret reserve prices, thereby affecting auction outcome.

Using a data set collected from eBay consisting of 787 identical product auctions, three empirical models have been proposed. Model 1 simultaneously estimates the effects of auction competition on a seller’s own open and secret reserve price strategies; Model 2 estimates the effects of auction competition on bidder participation; and Model 3 estimates the direct and indirect effects of auction competition on selling price.

Competition among sellers is central to shaping sellers’ reserve price strategies. When there are more concurrent auctions for identical items, sellers tend to specify a low open reserve and are less likely to set a secret reserve. Sellers are strongly influenced by competitors’ reserve price strategies, and tend to follow competition. Finally, auction competition and competitive reserve price strategies influence both bidder entry and selling prices.

This study has important implications for both sellers and bidders. It highlights the importance for sellers to adapt their reserve price strategies in light of their competitors’ reserve price strategies and offers implications for bidders regarding auction selection. An auction with low starting bid does not necessarily lead to a lower selling price as it attracts more bidders.

This paper focuses on competition among auction sellers, whereas previous literature has focused on competition among bidders. This paper is the first to study the impact of competing reserve prices in auctions.

Agricultural risks will tend to increase in the future, but risk management instruments and techniques at the disposal of wine companies are relatively limited. This paper aims to present an original risk protection mechanism implemented by the federation of Côte du Rhône (Inter‐Rhône) wine producers to build up a wine stock, or “reserve”, so as to protect their incomes against fluctuation in prices and production.

Using the VaR (value‐at‐risk) methodology, the stock level that will protect producers against a fall in their incomes is determined. More specifically, the probability that a given producer's current income falls lower than a target minimum income must be inferior or equal to a given (small) wine stock level. An agricultural income depends on price and production, so the reserve amount is expressed according to price and production quantity risk (measured by standard deviation), and the correlation between the two. The wine stock reserve is compared with a reserve invested in financial assets.

A static comparative analysis is made using simulations of the two types of reserves (wine stock and financial assets) according to the various explanatory variables. Empirical study makes it possible to calculate reserve amounts for each category of wine managed by Inter‐Rhône. The study reveals a strong disparity in the amount of reserves of each wine.

The reserve system is considered by some to give to the producer federation the power to control supply below the equilibrium level in order to receive monopoly rents. To avoid this occurring the constitution of a mutual fund is recommended. This solution allows producers to profit from diversification gains and greater managerial flexibility.

The purpose of this paper is to examine whether Chinese pork reserve regulation policy fulfills its function in stabilizing market prices and simultaneously to theoretically and empirically analyze the causes leading to the failure of Chinese Government’s intervention in the market, especially in the context of asymmetric pork and hog price information transmission.

A modified Reserve-Cobweb model based on the competitive storage model developed by Muth in 1961 is employed to examine the transmission effect of hog and pork prices under the setting of Chinese Government’s pork reserve regulation policy, using the data on Chinese hog and pork prices from June 2009 to June 2015.

While the Reserve-Cobweb model provides theoretical insights, suggesting that the implementation of the government’s reserve policy tool to control price volatility actually leads to increased price volatility, the empirical results indicate that the policy induces hypercorrection and impels greater price volatility, especially in the context of existence of asymmetric price information transmission.

The Chinese Government should reduce excessive pork price intervention and instead allow the market to play its role in the hog and pork markets.

This paper develops a modified Reserve-Cobweb model based on the price transmission effect on different links within the agricultural products supply chain, which is used to empirically validate the existence of asymmetric price information transmission between pork and hog price in China.

This paper aims to apply the doctrine of siyasah shariyyah to a policy proposal in the area of monetary economics, namely, the Grondona system of conditional currency convertibility, which has been proposed as a practical means of resisting the economic instability caused by the present-day fiat money system.

The paper uses library research to review the literature relevant to the Grondona system, and examines the extent to which its operations conform to the principle of siyasah shariyyah, thereby encouraging Maslahah, i.e. the public interest.

It has been found that the Grondona system conforms to the philosophy of siyasah shariyyah because it promotes public welfare in a number of ways. First, it is based on the fundamental principle of Prophet Yusuf’s/Joseph (peace be upon him) economic planning, which is accumulating reserves of primary commodities during times of plenty and releasing those reserves of commodities during periods of scarcity. Second, it provides the necessary linkage between the monetary world and the real economy. Third, it could be implemented in parallel with the existing monetary system by using the national currency. Fourth, it would help the least developed countries of the world, which mainly depend on exports of primary commodities (mostly agricultural).

Because of the chosen research approach, this research study is theoretical in nature. Therefore, researchers are encouraged to evaluate the system from economic perspective based on simulation for the purpose of possible implementation.

The paper includes important implications for the policymakers in the Organization of Islamic Cooperation countries for the possible implementation of Grondona system.

This paper fulfils an identified need to apply the philosophy of siyasah shariyyah to the area of monetary economics.

This study aims to test whether the size of and distance to the nearest green space has any effects on residential property transaction prices in Auckland, New Zealand.

This paper divides all green spaces in Auckland into three categories, namely, urban parks, regional reserves and volcanic parks (a unique feature in Auckland, New Zealand). This study uses six years of residential property transaction data to estimate hedonic price regressions. For each property, this paper calculates the size of and distance to the nearest park in each category.

The logged sizes of the nearest regional reserve and volcanic park have positive effects on property prices. The logged distances to the nearest urban park and volcanic park are insignificant, while the logged distance to the nearest regional reserve is positively significant. In other words, homebuyers prefer larger regional reserves and volcanic parks and prefer to be further away.

Auckland is ranked as a top-five city in the world in terms of the proportion of public green space, trailing four European cities. However, because of Auckland’s much younger age, it presents a very different urban form. The study shows that the distribution of green space (not only its total amount) can bring negative capitalization on property prices.

Using information systems via data mining and cluster analysis technologies, consumers' strategic behaviour can be measured, and their patience levels can be accurately described. This paper investigates the retailer's pricing and ordering policies when facing strategic consumers with different levels of patience and discusses the impacts of consumers' patience levels and proportions on retailers' maximum expected profits.

By cluster analysing transaction data on the number of websites visited, browsing time and purchase decision time, consumers' patience levels can be obtained. The authors formulate a newsvendor model considering customers' different patience levels. Three scenarios are investigated: two segments of consumers with two different levels of patience (Scenario I), multiple segments of consumers with different levels of patience (Scenario II) and a continuum of consumers whose levels of patience follow a continuous distribution (Scenario III). Then, general formulas are deduced for retailers' optimal prices, ordering quantities and profits.

Under Scenario I, if the proportion of less patient consumers is greater (less) than a threshold, the retailer's optimal price is equal to the less (more) patient consumers' reserve price. Under Scenario II, once the proportion of fully strategic consumers exceeds a certain threshold, the retailers' optimal price is equal to the fully strategic consumers' reserve price regardless of consumers' patience levels and proportions. Under Scenario III, the retailer's pricing and ordering policies depend on the distribution of their patience level.

Few studies have considered consumers' different levels of patience when making retailer pricing and ordering decisions. In this paper, strategic consumer behaviour is measured, and consumers' patience levels and proportions are obtained by cluster analysing consumer transaction data recorded by an information system. Three scenarios in which strategic consumers may be heterogeneous and have different patience levels are investigated. The results can guide retailer decision-making.

Commonly shared logistics services help manufacturing companies to cut down redundant logistics investments while enhance the overall service quality. Such service-sharing mode has been naturally adopted by group companies to form the so-called headquarter-managed centralized distribution center (HQ-CDC). The HQ-CDC manages the common inventories for the group’s subsidiaries and provides shared storage services to the subsidiaries through appropriate sizing, pricing and common replenishment. Apart from seeking a global optimal solution for the whole group, the purpose of this paper is to investigate balanced solutions between the HQ-CDC and the subsidiaries.

Two decision models are formulated. Integrated model where the group company makes all-in-one decision to determine the space allocation, price setting and the material replenishment on behalf of HQ-CDC and subsidiaries. Bilevel programming model where HQ-CDC and subsidiaries make decisions sequentially to draw a balance between their local objectives. From the perspective of result analysis, the integrated model will develop a managerial benchmark which minimizes the group company’s total cost, while the bilevel programming model could be used to measure the interactive effects between local objectives as well as their final effect on the total objective.

Through comparing the numerical results of the two models, two major findings are obtained. First, the HQ-CDC’s profit is noticeably improved in the bilevel programming model as compared to the integrated model. However, the improvement of HQ-CDC’s profit triggers the cost increasing of subsidiaries. Second, the analyses of different sizing and pricing policies reveal that the implementation of the leased space leads to a more flexible space utilization in the HQ-CDC and the reduced group company’s total cost especially in face of large demand and high demand fluctuation.

Several classical game-based decision models are to be introduced to examine the more complex relationships between the HQ-CDC and the subsidiaries, such as Nash Game model or Stackelberg Game model, and more complete and meaningful managerial implications may be found through result comparison with the integrated model. The analytical solutions may be developed to achieve more accurate results, but the mathematical models may have to be with easier structure or tighter assumptions.

The group company should take a comprehensive consideration on both cost and profit before choosing the decision framework and the coordination strategy. HQ-CDC prefers a more flexible space usage strategy to avoid idle space and to increase the space utilization. The subsidiaries with high demand uncertainties should burden a part of cost to induce the subsidiaries with steady demands to coordinate. Tanshipments should be encouraged in HQ-CDC to reduce the aggregate inventory level as well as to maintain the customer service level.

The proposed decision frameworks and warehousing policies provide guidance for the managers in group companies to choose the proper policy and for the subsidiaries to better coordinate.

This research studies the services sharing on the warehouse sizing, pricing and common replenishment in a HQ-CDC. The interactive decisions between the HQ-CDC and the subsidiaries are formulated in a bilevel programming model and then analyzed under various practical scenarios.

This study investigates the effect of unproven energy reserve news on the volatility of energy firms' stocks. Thus, investors' perception of unproven energy reserves is revealed. Additionally, the study aims to determine whether the effect of the news changes according to time and volatility level.

The general autoregressive conditional heteroskedasticity (GARCH) and exponential generalized autoregressive conditional heteroskedasticity (EGARCH) models consist of the energy reserve exploration news in Turkey for the period 2009–2022 and the volatility of 14 energy stocks.

The results indicate energy exploration news's negative and significant effect on volatility. According to empirical results, energy stock volatility is most affected in the first ten days. Besides, the results show that the significant models of energy reserve news in low-volatility stocks are proportionally higher than in high-volatility stocks.

Only unproved reserve news is included in the analysis, as sufficient confirmed reserves could not be reached during the sampling period. Further studies can compare proven and unproved reserve news effects. Additionally, a similar analysis can be conducted between Turkey and another country with a similar socio-economic character to examine different investor behaviors.

This research includes indications on managing investors' reactions to unproven energy reserve news.

This study contributes to the literature by analyzing unproven reserves. Contrary to previous studies, examining stock volatility also makes the study unique.