Potential factors in determining cross-border price spillovers in the pork sector: Evidence from net pork-importing countries

Although food self-sufficiency is regarded as a potent strategy to secure food supply in the policy circle, the efficacy of policy measures, especially in terms of their quantitative effects, is still not fully understood. We analysed the relationships between international and local prices of pork between January 2001 and December 2018 for 10 net pork-importing countries. The primary outcome obtained in our research is that high self-sufficiency and a small trade volume of pig meat commodities could impair price volatility transmission from the global market. This result does not suggest that a protectionist regime should be established to stabilise the national food supply. It presents useful information to balance the benefit from highly efficient resource allocation and the market steadiness gained from higher self-sufficiency in food, considering the maximisation of the expected utility of economic agents.

SWOT Analysis and a Case Study at Kayseri Airport

In this study, Kayseri Airport, which operates under Dhmi in Kayseri, is discussed within the scope of SWOT analysis. As a result, the most powerful aspect of Kayseri Airport is its proximity to the city, and the weakest dimension of Kayseri Airport is the low frequency of flights during the daytime. The outstanding features of Kayseri Airport regarding the opportunities arising from the external environment are tourism potential of the city, transport modes supporting each other, investments around the airport, supporting civil aviation nationwide, development of trade volume of the city. The most important feature of Kayseri Airport regarding the threats arising from the external environment are that it is not seen as a direct departure/destination point for international flights and distorted construction around the airport land.

An Analysis of the Influencing Factors in the Establishment of the Overseas Agricultural Cooperation Zones under the Belt and Road Initiative Based on Logit Model

A total of 57 overseas agricultural cooperation zones have been selected from 68 countries along the Belt and Road and extended areas from 2006 to 2018 as samples, and the corresponding indexes of bilateral trade in agricultural products, agricultural resource endowments, labor resources, infrastructure, and economic freedom have been chosen for parameter estimation based on the maximum likelihood method under the Logit model for an empirical analysis of the main influencing factors in the establishment of the overseas agricultural cooperation zones. The empirical analysis results indicate that the total import and export trade volume of agricultural products, agricultural land area, and labor resources of the host country have a significant promoting effect on the establishment of overseas agricultural cooperation zones. The economic freedom index has a significant negative impact on the establishment of overseas agricultural cooperation zones, while the port throughput has no significant impact. China should consider several main factors when selecting a host country to establish overseas agricultural cooperation zones, including bilateral trade volume of agricultural products, agricultural resource endowments, labor resources, and economic freedom of the host country, which can provide reference for the spatial layout of the overseas agricultural cooperation zones.

Automated Algorithmic Trading for Cryptocurrencies

The proposed project work is totally supported and easy yet effective strategy named as Martingale. An automatic system which only requires only some pre-coded instructions to execute trades on variety of market variables starting from asset price to trading volume. The strategy along with each cryptocurrency, the benchmark against which the algorithm is tested is that the market’s performance. Returns are compared with the buying and so multiplying the trade volume at each loss and different scenarios are analysed to work out the chance related to the buying compared with an algorithmic strategy. Results are going to be in love with the market’s actual trends and also with some alternate possible trends to check all market scenarios. An internet interface will accompany the presentation allowing the users to check the strategies by entering their parameters and instantly seeing the results

Value Proposition Assessment of Blockchain Technology for Luxury, Food, and Healthcare Supply Chains

Background: In relevant research, blockchain technology (BCT) is credited with great potential for supply chain management (SCM). However, even after more than 10 years of the technology’s existence, it is barely used for any self-sustaining applications. This raises the question of why BC cannot prevail against its alternatives. With this paper we want to identify criteria by which the added value of BCT can be measured. Furthermore, we want to evaluate how well the different supply chains (SC) exploit the added values of BCT. Methods: For this, we identified real-world examples and case studies for luxury, food, and healthcare SCs. These examples are described in detail and then analyzed for their added value compared to possible alternatives. Results: The results show that in the clusters of food and healthcare SCs, no general added value of BC over current best-practice solutions could be verified. Luxury SCs manage valuable products that are typically traded in small quantities. It is within this cluster that the implementation of BC can be justified best. Conclusions: In conclusion, this study shows that the application of BCT is especially beneficial for goods with a high value and low trade volume. In addition, the interface between reality and the digital twin should be as secure as the database or BC solution itself. Furthermore, the demand for transparency and immutability of data should be more important than the need to protect sensitive data. Finally, SC participants, especially the end customer, must also be able to appreciate the advantages of BCT.

The phytosanitary risks posed by seeds for sowing trade networks

When successful, the operation of local and international networks of crop seed distribution or “seed systems” ensures farmer access to seed and impacts rural livelihoods and food security. Farmers are both consumers and producers in seed systems and benefit from access to global markets. However, phytosanitary measures and seed purity tests are also needed to maintain seed quality and prevent the spread of costly weeds, pests and diseases, in some countries regulatory controls have been in place since the 1800s. Nevertheless, seed contaminants are internationally implicated in between 7% and 37% of the invasive plant species and many of the agricultural pests and diseases. We assess biosecurity risk across international seed trade networks of forage crops using models of contaminant spread that integrate network connectivity and trade volume. To stochastically model hypothetical contaminants through global seed trade networks, realistic dispersal probabilities were estimated from quarantine weed seed detections and incursions from border security interception data in New Zealand. For our test case we use contaminants linked to the global trade of ryegrass and clover seed. Between 2014 and 2018 only four quarantine weed species (222 species and several genera are on the quarantine schedule) warranting risk mitigation were detected at the border. Quarantine weeds were rare considering that average import volumes were over 190 tonnes for ryegrass and clover, but 105 unregulated contaminant species were allowed in. Ryegrass and clover seed imports each led to one post-border weed incursion response over 20 years. Trade reports revealed complex global seed trade networks spanning >134 (ryegrass) and >110 (clover) countries. Simulations showed contaminants could disperse to as many as 50 (clover) or 80 (ryegrass) countries within 10 time-steps. Risk assessed via network models differed 18% (ryegrass) or 48% (clover) of the time compared to risk assessed on trade volumes. We conclude that biosecurity risk is driven by network position, the number of trading connections and trade volume. Risk mitigation measures could involve the use of more comprehensive lists of regulated species, comprehensive inspection protocols, or the addition of field surveillance at farms where seed is planted.

An overview of international trade of Macaca fascicularis from Indonesia based on the CITES trade database

Wildlife trade is one of the main constraints in biodiversity conservation. International wildlife trade is regulated by The Convention on International Trade in Endangered Species of Wild Fauna and Flora (CITES). Approximately 34,000 plants and animals are grouped into three Appendices related to the degree of threats posed due to international trade. Annually, CITES provides global trends in wildlife trade through its official website. However, there are some limitations demonstrated by the CITES database, which may indicate unsustainable trade. Using the CITES trade database, we offer an overview of the international trade of crab-eating Macaca (Macaca fascicularis) from Indonesia. Results show that Indonesia had recorded 440 transactions of M. fascicularis in both live animals and non-live forms for 30 years (1990-2019). A total of 117,193 live M. fascicularis had been traded, with the United States being the primary importer. There were challenges in using the CITES trade database in analyzing M. fascicularis trade, including a mismatch between trade volume reported by the exporters and importers, undefined trade purposes, and unitless reports. We hope that our findings can help the community understand international M. fascicularis trade and guide future conservation efforts and policy changes.

Exchange Rate, Stock Price and Trade Volume in US-China Trade War during COVID-19: An Empirical Study

This article aims to examine the influence of international trade wars on the majority of stock market operations, both directly and indirectly affected. The impact of the trade war on the exchange rates of the participating countries was similarly negative. This article seeks to trace the conversion standards' footprints in the United States, China, and India using several indexes such as the Shanghai Composite Index, Dow Jones index, and Nifty 50. The cost of closing down various indices on a daily basis, as well as the conversion standard upsides of the participating currencies, are all examined in this study. Furthermore, utilizing the OLS and GARCH models, this work provides insights into measuring the uncertainties about the impact of exchanging scale on financial exchange. According to the findings of OLS, changes in the swapping scale have had a minor impact on the daily closing costs of stock records in the individual countries. The conversion standard, on the other hand, has a major impact on trade volumes in all three stock markets. When compared to the SSE and DJI equities, the GARCH model predicts that the contingent shift will be less shocking, resulting in a smaller impact on Nifty trade volume. To replicate the impact of trade wars during the Covid-19 crisis, the final results imply that data from domestic and international financial transactions must include securities market transactions.