Search Results (5)

On 15 March 2022, the European Council reached an agreement on the relevant rules of the Carbon Border Adjustment Mechanism (CBAM). In order to study the impact of the implementation of carbon tariffs on China’s agricultural trade, this paper sets three control groups, namely, economic development, the impact of the “Belt and Road” initiative’s (BRI’s) trade facilitation level, and separate taxation by different countries, and uses the dynamic Global Trade Analysis Project—Environment (GTAP-E) model for policy simulation. The empirical results show that, firstly, carbon tariffs can suppress international demand for agricultural products and increase international market prices. At the same time, under the pressure of carbon tariffs, China will reduce the main agricultural product’s Free on Board (FOB) prices to ensure that their Cost, Insurance and Freight (CIF) prices can maintain a competitive advantage in the international market after increasing the cost of carbon tariffs, and the market share of China’s agricultural products exported to recipient countries will decline. Secondly, China’s “Belt and Road” initiative has a two-way impact on carbon tariff policy. On the one hand, it reduces the negative impact of carbon tariffs through trade facilitation, and on the other hand, it will decrease the effectiveness of carbon emission reduction because of the huge trade demand and encourage countries to develop green and low-carbon agriculture. Finally, there is heterogeneity in the impact of carbon tariffs imposed by the United States, Japan, and Europe on Chinese agricultural trade. Full article

Examining the price relationships of Brent Crude with 78 global commodities, our study shows that the spot price of a certain commodity, New York Harbor No. 2 Heating Oil Spot Price FOB, can serve as an auxiliary forecasting index of the rise and fall of the monthly Brent Crude oil price. With an innovative view for evaluating the price relationship and prediction based on simple, practical measurement, our findings provide a helpful auxiliary index tool for investors and analysts by offering a high success rate (82.98%) and predicting the rise and fall of the monthly Brent Crude oil price three weeks in advance. Full article

This paper addresses the issue of unfair trade practices, investigating the drivers of the differences between farm-gate and free-on-board (FOB) prices in the most important Arabica coffee producing countries worldwide: Brazil, Guatemala, Colombia, Honduras, Peru, and Ethiopia. Our study looks at those differences taking into account the literature on governance in agri-food chains, with a focus on each country’s domestic market. We performed panel-corrected standard error (PCSE) estimates in ICO and World Bank data, covering the period from 2007 to 2016. In the paper we analyze (i) property rights as a proxy of transaction costs, once it brings more transparency and support to negotiations; (ii) access to electricity as a proxy of supporting infrastructure in communication and information activities, and (iii) quality of roads and quality of ports as proxies of transportation infrastructure. Our results show that heterogeneity in institutions and infrastructure are key in explaining the differences between farm-gate and FOB prices. The transaction costs derived from institutional failures and infrastructure gaps, lead to the use of intermediaries in the coffee supply chain, and this reduces the margin for coffee farmers. Actions that aim to reduce these inefficiencies bring more transparency and lower transaction costs, thereby directly contributing to the United Nations (UN) Sustainable Development Goals (SDGs). Full article

In this paper, we provide a brief overview of fiber optic biosensors for use in MedTech, specifically to aid in the diagnoses and treatment of those with chronic medical conditions. Fiber optic cables as components of biological sensors make them especially effective in biological systems that may require ultra-sensitive detection of low-frequency signals in hard to reach areas. This systematic review focuses on the differentiating factors of fiber-optic biosensors, which are tailored to apply the sensor to specific health needs. The main components of FOBS (fiber optic biosensors) such as biosensing elements, fiber optic cables, optical element enhancements, transducers, sensing strategies, photodetectors, and signal processing are covered in detail by showcasing the recent developments in modifications to these components. This paper pays particular attention to the alterations made in biosensing elements including pH elements, enzymatic elements, as well as those sensors utilizing antibodies and whole-cell bacteria. This paper reviews and discusses several published examples in the research stage of development to give the reader an overall scope of the field. The need for research on biosensing equipment is increasing, as the number of individuals with chronic diseases and the geriatric population require more effective, accurate, and mobile sensing ability and reduced invasiveness. FOBS offer a sensing solution that is accurate, tailorable to almost any clinical need, has abundant and relatively cheap material requirements, and a well-established technological base in fiber optic technology. This small price tag and large market potential make FOBS a desirable research area. Full article

In this paper, we apply multidimensional scaling (MDS) and parametric similarity indices (PSI) in the analysis of complex systems (CS). Each CS is viewed as a dynamical system, exhibiting an output time-series to be interpreted as a manifestation of its behavior. We start by adopting a sliding window to sample the original data into several consecutive time periods. Second, we define a given PSI for tracking pieces of data. We then compare the windows for different values of the parameter, and we generate the corresponding MDS maps of ‘points’. Third, we use Procrustes analysis to linearly transform the MDS charts for maximum superposition and to build a globalMDS map of “shapes”. This final plot captures the time evolution of the phenomena and is sensitive to the PSI adopted. The generalized correlation, theMinkowski distance and four entropy-based indices are tested. The proposed approach is applied to the Dow Jones Industrial Average stock market index and the Europe Brent Spot Price FOB time-series. Full article