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During world price spike periods, the government is more likely to apply trade distortions to stabilize domestic prices, but the trade distortions would amplify fluctuations of international market prices. Which type of policy may stabilize the domestic market price, but not disturb the international market? This paper answers the question by taking public storage policy as a case study in the context of trade policy. Specially, this paper tries to identify the effect of domestic public storage on the world market price.

This article extends a standard theoretical model of trade policy through incorporating domestic public storage policy and makes the model more applicable in the context of China. The extended model is then applied to analysis how domestic public storage policy affects the international market price in the context of trade policy. Finally, a properly identified structural vector auto-regression technique is applied to test the effect of domestic public storage on the world market price by using cotton data from China.

The theoretical model indicates that China's public storage policy could stabilize the international market price. In order to test the working mechanisms, China's soaring public storage between 2010 and 2014 is employed to identify the effects of China's cotton storage on the volatility of the world price. The empirical findings show that China was able to stabilize the international price of cotton to a non-trivial extent through alteration of its public stockpile.

The first contribution is that this paper extends a standard theoretical model of trade policy to incorporate domestic public storage policy, which enables us to explore the effects of domestic public storage policy on the world price in the context of China. The second major contribution is that this paper provides evidence that, as a large player in the world market, China's public storage policy could stabilize the international agricultural price to a substantial degree.

The purpose of this paper is to develop a formal representation of the imperfect substitutes model (ISM) of partial equilibrium, trade policy analysis and to conduct sensitivity analysis on the behavioral parameters of the model.

The paper develops an ISM in a manner that is conformable to more complex, applied general equilibrium models of trade policy analysis.

The paper presents a set of sensitivity analyses on key behavioral parameters for a better understanding of the model's properties.

Sensitivity analysis on the values of behavioral parameters in ISMs needs to be conducted by trade policy modelers.

The ISM is made more explicit here than in most representations, something that will be of great use to practitioners.

While widely used in trade policy circles, the ISM is rarely explicitly formulated, nor the role of its behavioral parameters explored.

Uses parametric Granger causality techniques to test whether trade acted as an engine of growth during the period 1971(2)‐1994(2) in Australia. The causality tests were performed on time‐series data that were filtered after unit root and cointegration testing. During the study period there was a dramatic shift from a protectionist to a more liberal trading regime in Australia. Superexogeneity tests were applied to the conditional growth and the marginal trade policy models derived by the application of general to specific methodology. The superexogeneity tests examined whether the shift from a protectionist to a more liberal trading regime in the mid‐1980s undermined the structure of Australian trade growth dynamics as foreshadowed in the Lucas critique. Reviews the macropolicy implications of the trade policy regime shift.

The purpose of this paper is to quantify the potential impact of the latest World Trade Organization (WTO) agricultural draft modalities circulated on December 2008 on the economy of Bangladesh.

The study conducted simulation exercise using partial equilibrium model – Agricultural Trade Policy Simulation Model – to estimate the likely impact of the Doha round negotiation on Bangladesh agriculture.

One of the major findings of the study is that the world prices of agricultural commodities are likely to increase by 5 per cent if proposed modalities are implemented. The estimated results reveal that Bangladesh is likely to lose a considerable amount of economic welfare. This is due to a larger amount of loss (consumer surplus and government revenue) compared with a smaller amount of (producer surplus) gain. However, the study estimates that aggregate production of agricultural commodities, and production and export of most of the agricultural commodities will increase. On the other hand, import of agricultural commodities will decrease.

The study puts forward a number of suggestions with regard to Bangladesh's negotiating strategy for advancing its interests in the ongoing WTO negotiations on agriculture.

This study is the first ever attempt that has identified a number of negotiation strategies for Bangladesh using partial equilibrium modelling technique with respect to the latest WTO agricultural draft modalities.

The purpose of this paper is to demonstrate that higher tariffs under protectionism will have significant indirect impact through industrial forward and backward linkages, causing greater economic losses to tariff-imposing economies than to exporting countries.

The authors use partial equilibrium analysis based on unique multi-regional input-output (IO) data in measuring the second-round spillover effects of higher tariffs, also investigating the scenario of plausible substitutability across import sources as well as sectors based on historical import intensity data.

Higher tariffs do not only have a direct impact, but also a significant indirect impact—through forward and backward linkages. Indirect effects can be extensive across economies and sectors—both in forward and backward linkages such as in transport—when value chains are longer and more complex. When possible substitution effects between different import sources and sectors are considered, negative forward linkage effects can be smaller, while negative backward linkage effects become more pronounced. Nevertheless, both negative effects are still found to be much bigger in indirect impacts compared with direct impacts.

This implies that higher tariffs, including administrative trade measures such as anti-dumping duties and countervailing duties could ironically entail rather greater negative impact on the tariff-imposing importing economies by damaging their exports of domestic sectors using the targeted imports as intermediate inputs, which could be severe if the importing sector has a long value chain in particular through deep forward linkages.

This paper uses unique multi-regional IO data covering 45 economies’ 35 sectors in analyzing the second-round spillover effects across countries and sectors and employs comparative statics under different scenarios.

Many grain exporting/importing countries implement temporary trade policies to intervene in grain trade volume during food crises. The purpose of this paper is to analyze the effects of Chinese soybean trade policies on the domestic soybean market during the food crisis.

A Markov switching error correction model is constructed for the empirical analysis. Market integration, market equilibrium and market stability are compared among three regimes: the normal state, crisis state and post-crisis state. In order to reduce the disturbance from external markets factors on the results, the US soybean market is selected as a control group in that it did not use any soybean intervention trade policies during the food crisis.

The empirical results indicate that China’s temporary soybean trade policies lead to a decrease in market integration between domestic and international soybean markets and a reduction in domestic soybean market stability.

It is the first time that China’s soybean market is selected as a sample and case on this issue. The regime shifting non-linear model could be more applicable because there exists a non-linear transmission relationship between grains markets during food crises. The results imply that China’s temporary soybean trade policies do not improve market integration and stability. China should reconsider implementing soybean trade intervening policies to protect the domestic market and safeguard food security.

In the era of climate change, industrial organizations are under increasing pressure from consumers and regulators to reduce greenhouse gas emissions. The purpose of this paper is to examine the effectiveness of product mix as a strategy to deliver the low carbon supply chain under the cap-and-trade policy.

The authors incorporate the cap-and-trade policy into the green product mix decision models by using game-theoretic approach and compare these decisions in a decentralized model and a centralized model, respectively. The research explores potential behavioral changes under the cap-and-trade in the context of a two-echelon supply chain.

The analysis results show that the channel structure has significant impact on both economic and environmental performances. An integrated supply chain generates more profits. In contrast, a decentralized supply chain has lower carbon emissions. The cap-and-trade policy makes a different impact on the economic and environmental performances of the supply chain. Balancing the trade-offs is critical to ensure the long-term sustainability.

The research offers many interesting observations with respect to the effect of product mix strategy on operational decisions and the trade-offs between costs and carbon emissions under the cap-and-trade policy. The insights derived from the analysis not only help firms to make important operational and strategic decisions to reduce carbon emissions while maintaining their economic competitiveness, but also make meaningful contribution to governments’ policy making for carbon emissions control.

Trade uncertainty does influence the firm’s new investment, profitability and supply chain finance. Consequently, it results in decreased consumption and low consumer confidence and eventually disrupts global economic activity. This paper aims to propose a model to uncover the effects of trade policy uncertainty (TPU) on the real economic activity and economy’s health measured in terms of the purchasing manager’s index (PMI).

This study uses the PMI, trade policy uncertainty index, economic policy uncertainty index and short-term interest rate. The relation between economic activity and uncertainty was studied using nested regression and vector autoregressive model.

The empirical results show that PMI of China and Japan were more responsive to the TPU of the USA and remained more fluctuating during the year 2018–2019. Importantly, this paper notices that the US’s PMI reached a low historically subject to its own trade policy and tension with China. Overall, TPU has shown more pronounced effects on PMI across China, Japan and the USA, followed by important economic and political events and major trade tariff uncertainty deals.

The empirical outcome holds some practical implications trade uncertainty affects not only the economic health of the economy but also market participants, global investors and international political environment, recent trade barriers, tariff wars and ambiguity raise question about free and fair global trade and competitiveness of the member country of the world trade organization.

The work is a novel that attempts to explain economic activity and supply chain through PMI. Unlike conventional economic indicators, e.g. gross domestic product, producer price index, consumer price index, employment, etc. PMI measures manufacturing industries’ overall status concerning the number of orders, inventory levels, productions, supplier deliveries and employment.

The purpose of this study is to model a vehicle routing problem with integrated picking and delivery under carbon cap and trade policy. This study also provides sensitivity analyses of carbon cap and price to the total cost.

A mixed integer linear programming (MILP) model is formulated to model the vehicle routing with integrated order picking and delivery constraints. The model is then solved by using the CPLEX solver. Carbon footprint is estimated by a fuel consumption function that is dependent on two factors, distance and vehicle speed. The model is analyzed by considering 10 suppliers and 20 customers. The distance and vehicle speed data are generated using simulation with random numbers.

Significant amount of carbon footprint can be reduced through the adoption of eco-efficient vehicle routing with a marginal increase in total transportation cost. Sensitivity analysis indicates that compared to carbon cap, carbon price has more influence on the total cost.

The model considers mid-sized problem instances. To analyze large size problems, heuristics and meta-heuristics may be used.

This study provides an analysis of carbon cap and price model that would assist practitioners and policymakers in formulating their policy in the context of carbon emissions.

This study provides two significant contributions to low carbon supply chain management. First, it provides a vehicle routing model under carbon cap and trade policy. Second, it provides a sensitivity analysis of carbon cap and price in the model.

This paper aims to find optimal emission reduction investment strategies for the manufacturer and examine the effects of carbon cap-and-trade policy and uncertain low-carbon preferences on emission reduction investment strategies.

This paper studied a supply chain consisting of one manufacturer and one retailer, in which the manufacturer is responsible for emission reduction investment. The manufacturer has two emission reduction investment strategies: (1) invest in traditional emission reduction technologies only in the production process and (2) increase investment in smart supply chain technologies in the use process. Then, three different Stackelberg game models are developed to explore the benefits of the manufacturer in different cases. Finally, this paper coordinates between the manufacturer and the retailer by developing a revenue-sharing contract.

The manufacturer's optimal emission reduction strategy is dynamic. When consumers' low-carbon preferences are low and the government implements a carbon cap-and-trade policy, the manufacturer can obtain the highest profit by increasing the emission reduction investment in the use process. The carbon cap-and-trade policy can encourage the manufacturer to reduce emissions only when the initial carbon emission is low. The emission reduction, order quantity and the manufacturer's profit increase with the consumers' low-carbon preferences. And the manufacturer can adjust the emission reduction investment according to the emission reduction cost coefficient in two processes.

This paper considers the investment of emission reduction technologies in different processes and provides theoretical guidance for manufacturers to make a low-carbon transformation. Furthermore, the paper provides suggestions for governments to effectively implement carbon cap-and-trade policy.