Trade Research Articles

Eco-Nutritional assessment of the knowledge, attitudes and practices of producers, traders and processors in the market gardening sector of greater Lomé

Societal changes in the food sector are presenting the Greater Lomé Autonomous District (DAGL) with major sustainability challenges. However, the socio-economic, health, nutritional and ecological knowledge, attitudes and practices (KAPs) of stakeholders in solving these problems are only partially taken into account, even in the existing scientific literature. As such, the research aims to assess the level of health, socio-economic and environmental sustainability of market garden vegetable production, trade and processing in the Autonomous District of Greater Lomé (DAGL), based on the principles of nutritional ecology. Using a quantitative multi-criteria approach, 147 people were interviewed : 44 producers, 56 traders and 47 processors. Judgemental sampling was used to form the sample. The data collected by Kobocollect was processed using Excel, Arcgis and Google Earth Pro. Average scores and good KAP rates were calculated for stakeholders according to key aspects of sustainable development apprehension. The results show that in the DAGL, the rates for ecological (26.13%), health (33.71%), socio-economic (42.46), technological and innovative (22.93%) knowledge, attitudes and practices are low. They stand at 30.31%. These results are unfavorable to the achievement of the SDGs, and do not meet the principles of nutritional ecology and standard 13 of the Global Reporting Initiative (GRI) 2023. Hence the importance of designing and implementing an integrated, long-term eco-nutritional education program for all stakeholders.

Studi Kualitatif terhadap Perdagangan Ekspor dan Impor dalam Kerangka Ekonomi Syariah: Kajian Prinsip dan Praktik

This study aims to explore the application of Sharia economic principles in export and import trade through a qualitative approach. Sharia principles such as the prohibition of riba, gharar, and maysir, as well as fairness and transparency in transactions, are examined in the context of international trade practices. Data were obtained through in-depth interviews with traders, Sharia practitioners, and financial experts. The results show that despite challenges such as riba-free financing and currency fluctuation risks, Sharia-based solutions like salam contracts, murabahah, and wa’ad methods can help overcome these obstacles. This study highlights the potential of Sharia economics in fostering more ethical and sustainable international trade. With the growing global interest in ethical trade, Sharia principles have the potential to play a significant role in the future of international commerce.

Drought and warming interaction cause substantial economic losses in the carbon market potential of China's northern grasslands

Grasslands are being threatened by global drought and warming. Economic assessments of changing grassland carbon sequestration, a prerequisite for nature-based climate-change mitigation policies, are limited when researchers inadequate consider interactions between drought and warming. Here, we quantified the responses of 35 grass biomasses to combined drought and warming, based on manipulation experiments from 34 peer-reviewed papers; subsequently, we matched them with grasslands in northern China—the eastern range of the larger Eurasian Steppe—and further projected the economic implications for carbon market trading and carbon-sequestration costs. The results show that carbon sequestration in all grassland types, except for forbrich steppe, was significantly reduced by the synergistic interactions of drought and warming. Approximately 10 % of the grasslands in central Xinjiang, identified as forbrich steppe, showed resilience to these stressors. In contrast, the rest of northern China's grasslands suffered increased carbon losses due to drought and warming. The combined effects of drought and warming have caused a loss of 1.6 × 104 million Chinese yuan (CNY) in revenue and excess carbon-sequestration costs exceeding 1.1 × 105 million CNY. Overall, our study results indicate that the synergistic effects of drought and warming significantly undermine the economic viability of carbon sequestration in most of northern China's grasslands. As climate change intensifies, understanding and incorporating the complex interactions of drought and warming can aid in the sustainable management of grassland ecosystems and the development of effective climate-change mitigation policies in arenas, including carbon markets.

The role of big data in the secondary market

With the rapid development of information technology, Big Data has emerged as one of the important characteristics of the contemporary era. In the secondary market, the application of Big Data is increasingly widespread, which has a profound impact on market structure, trading patterns, and investment decisions. This paper aims to explore the utilization of Big Data in the secondary market, including data analysis techniques, enhancement of decision efficiency, augmentation of market transparency, and innovation in risk management practices while discussing the drawbacks of using Big Data. Then, the study focuses on how to improve and enhance the application of big data in the secondary market in the future. The findings underscore that Big Data plays an instrumental role in shaping the dynamics of the secondary market, this is predominantly manifested in the prediction of stock market trends, the assessment of investment risks, and so on. However, certain challenges persist. Continual development and improvement of Big Data can facilitate more informed investment decision-making.

Pricing dynamics and herding behaviour of NFTs

AbstractThis paper analyzes the sales of 875,389 art nonfungible tokens (NFTs) on the Ethereum blockchain to identify the key determinants influencing NFT pricing and market dynamics. We find that market liquidity and trade volume are strong predictors of NFT prices. Contrarily, social media activity negatively correlates with prices. Introducing an artist ranking system, our study reveals a “superstar effect”, with a few artists dominating sales, and herding behaviour within the NFT market.

MỘT SỐ VẤN ĐỀ PHÁP LÝ TRONG VIỆC XÂY DỰNG PHÁP LUẬT VỀ CHỨNG CHỈ LƯU KÝ KHÔNG CÓ QUYỀN BIỂU QUYẾT TẠI VIỆT NAM

The legal framework governing non-voting depository receipts (NVDRs) in Vietnam is currently still basic and requires amendments for successful issuance and trading in the Vietnamese stock market. This article aims to analyze key aspects to propose recommendations for enacting comprehensive legislation regarding NVDRs. Its scope for research covers: (i) identification NVDRs, their legal characteristics, and their role in the Vietnamese context; (ii) examining the relationships between parties involved in NVDR transactions and the connection between NVDRs and other types of securities; (iii) identifying essential considerations for establishing NVDR-related regulations in Vietnam.

The Factors Affecting Foreign Direct Investment Intentions of Investors: A Case of Malaysia

Foreign direct investments (FDI) are regarded as one of the most important sources of external financing for all countries in this globalisation era. In recent years, Malaysia has only been successful in attracting a small number of foreign investors. As a result, the primary goal of this paper is to examine the factors that have attracted FDI into Malaysia from 1990 to 2020. The study investigates the relationships between FDI and the proposed explanatory variables, namely market size (GDP), trade openness (OPN), inflation rate (INF), and infrastructure (INFRA). Multiple Linear Regression (OLS) is used to examine the relationships between the variables. The Variance Inflation Factor and the Breusch Pagan Godfrey test are also analysed to discover the data collected from the World Bank Data. Findings indicate GDP and INF have a significant impact on FDI. This study has not brought any evidence of INFRA and OPN influencing FDI inflows in Malaysia. Understanding these factors is crucial for policymakers and investors to promote sustainable economic growth and attract foreign investments

The Impact of Participation Ratio and Bidding Strategies on New Energy’s Involvement in Electricity Spot Market Trading under Marketization Trends—An Empirical Analysis Based on Henan Province, China

As new-energy electricity increasingly enters the post-subsidy era, traditional fixed feed-in tariffs and guaranteed purchase policies are not conducive to the optimal allocation of large-scale, high-proportion new-energy power due to the high pressure of subsidy funds and the fairness issues of power-generation grid connection. Encouraging new energy to participate in electricity market transactions is considered an effective solution. However, existing studies have presupposed the adverse effects of new energy in proposing market mechanism optimization designs for new-energy participation without quantitative results to support this, which is not conducive to a true assessment of the comprehensive impact of individual instances of new-energy participation in the market. To this end, this study, based on the actual experience and data cases of China’s electricity spot market pilot provinces, considers both unit commitment and economic dispatch in the electricity distribution process, and constructs a two-stage optimization model for electricity spot market clearing. According to the differences in grid connection time and the construction costs of new-energy power, differentiated proportions of new-energy participation in the market and bidding strategies are set. By analyzing the quantitative results of new energy participating in spot market transactions under multiple scenarios, using both typical daily data for normal loads and peak loads, the study provides theoretical support and a data basis for the optimized design of market mechanisms. The research results show that there is a non-linear relationship between the scale of new energy entering the market and its bidding strategies and market-clearing electricity prices. In the transition phase of the low-carbon transformation of the power sector, the impacts of thermal power technology with a certain generation capacity and changes in the relationship between power supply and demand on electricity prices are significant. From the perspective of the individual interests of new-energy providers, the analysis of their bidding strategies in the market is important.

Impact of Russia- Ukraine War on Indian Economy

In this day and age, few individuals have considered making war predictions. Still, it is taking place. Both the global economy and the people of Ukraine are suffering as a result of something they have never done in their lives. Ukraine was attacked by Russia on February 24, 2022. Since then, Russia has been the target of criticism from other nations as a whole, and now, other nations have united against Russia, greatly impacting the global economy. My research attempts to determine how the ongoing conflict between Russia and Ukraine has influenced India's international commerce, what effects it has had on the country's future, and what other patterns the Indian economy will likely follow as a result of this conflict. I'll examine India's international commerce with Russia and Ukraine during the last five years and attempt to research how a conflict would affect trade in the future. We believe that this study article will aid in the understanding of the global impact of this conflict by the scholarly community.

The ‘Manifest Injustice’ Clause in Article 4 of the Hague Convention on Private International Law: Applicability in International Commercial Contract Disputes

This paper critically examines the ‘manifest injustice’ clause in Article 4 of the Hague Convention on Choice of Court Agreements, focusing on its applicability in international commercial contract disputes. The clause serves as a safeguard to ensure fairness in choice of court agreements by allowing courts to set aside agreements that result in unjust outcomes for one of the parties. The paper explores various contexts in which this clause applies, such as situations involving unequal bargaining power, fraud, duress, coercion, procedural injustice, and unconscionable terms. It also discusses the significant legal challenges associated with its application, including the lack of a clear definition, variability in judicial interpretation, conflicts with the principle of party autonomy, and evidentiary burdens. The paper concludes that while the ‘manifest injustice’ clause is a critical tool for promoting fairness in international commerce, its effectiveness depends on the development of clearer guidelines and more consistent jurisprudence to harmonize its interpretation across jurisdictions, thereby enhancing its role in ensuring justice and equity in cross-border contractual relationships.

Factors Affecting FDI Attraction in Some Southeast Asian Countries

The study analyzes factors affecting FDI attraction in some Southeast Asian countries including (Indonesia, Thailand, Philippines, Malaysia, Vietnam). Using FEM, REM and FGLS models with panel data for the period 2010 - 2020, the analysis results show that market size, trade openness and net capital structure of the economy affect investment. foreign direct investment.

Research on Carbon Cap Regulation, Retailer Altruistic Preferences, and Green Decision-Making of Manufacturing Enterprises

As manufacturing advances swiftly and public consciousness about low-carbon practices rises, eco-friendly supply chains have seen significant expansion. This study investigates a government-driven green supply chain in two phases, involving a producer and a seller. Four scenario game models are established to determine whether the manufacturer engages in green technology innovation or whether the retailer has altruistic preferences. The Stackelberg game was used to analyze changes in government carbon quota regulations, retail prices of retailers, and manufacturers’ carbon reduction efforts in the context of carbon market trading. Research shows that the government will set looser carbon emission limits for manufacturers when retailers have no altruistic preferences. When carbon prices in the market are low, encouraging manufacturers to invest in green technology innovation enhances social welfare. This study offers essential theoretical backing for the government in crafting carbon quota regulations and aids businesses in making prompt technological innovation choices.

Techno-economic, energy, and environmental impact assessment of hydrogen supply chain: A comparative study of large-scale production and long-distance transportation

Hydrogen energy has made significant progress as one of the technological pathways that can facilitate the green transformation of various sectors, including the chemical industry, steel production, transportation, and power generation. However, areas with high demand for hydrogen are typically located thousands of kilometers away from large-scale production facilities. Hydrogen transported from the most cost-competitive large production sites to areas that lack hydrogen resources requires converting gaseous hydrogen into a high-density liquid. Thus, global market trade is important for hydrogen carriers in long-distance and large-scale transportation. In this study, liquefied hydrogen (LH2) and ammonia (NH3), which are hydrogen-based energy carriers, are analyzed and compared in terms of economic costs, energy efficiency, and carbon dioxide (CO2) emissions. It has been demonstrated that the LH2 supply chain is more energy-efficient and has higher CO2 emissions compared to the NH3 supply chain. Furthermore, this study shows that the levelized cost of hydrogen transportation (LCoHT) delivered from Australia to Ningbo, China, is lower for NH3 (19.95 yuan/kg-H2) compared to LH2 (22.83 yuan/kg-H2). Meanwhile, the LCoHT for the two supply chains is in a similar range (27.82 yuan/kg-H2 and 21.53 yuan/kg-H2 for LH2 and NH3, respectively) from Norway to Ningbo, China. The impacts of important parameters on the LCoHT, energy efficiency, and CO2 emissions of the LH2/NH3 supply chain are also considered through a sensitivity analysis.

Algorithmic trading and machine learning: Advanced techniques for market prediction and strategy development

This paper provides an in-depth examination of advanced techniques in algorithmic trading and machine learning, focusing on their impact on market prediction and trading strategies. As financial markets evolve, the need for sophisticated analytical methods has become paramount to gaining a competitive edge. The study covers a range of techniques including time series analysis, natural language processing (NLP), and deep learning models, highlighting their contributions to enhancing predictive accuracy and trading efficiency. The paper explores the importance of feature engineering, model selection, and risk management in developing robust trading strategies. It also addresses the challenges and limitations inherent in financial modeling, such as data quality, overfitting, and computational complexity. Additionally, the paper examines emerging trends and technologies, including quantum computing, federated learning, and ESG integration, which are poised to shape the future of financial markets. By synthesizing insights from various advanced techniques and their practical applications, this paper offers a comprehensive overview of the current state and future directions of algorithmic trading and machine learning in finance. It underscores the importance of continuous innovation and adaptation in maintaining a competitive advantage in the dynamic landscape of financial trading.

Dispute Settlement between Indonesia and Australia on A4 Copy Paper AntiDumping Case by World Trade Organization (W.T.O.)

The World Trade Organisation (WTO) has rendered the resolution of the A4 copy paperanti-dumping dispute between Indonesia and Australia a matter of worldwide significancein recent times. The dispute originated when Australia levied anti-dumping tariffs on A4copy paper imported from Indonesia. Consultations were conducted between Indonesia andAustralia, but, a consensus could not be achieved. Indonesia subsequently initiated legalproceedings before the World Trade Organisation (WTO), which ultimately rendered averdict in favour of Indonesia's claim against Australia for the imposition of an antidumping duty (BMAD) on A4 copy paper originating from Indonesia. An examination ofdispute settlement proceedings reveals that the World Trade Organisation (WTO) aims toguarantee that anti-dumping measures do not infringe against WTO regulations. Thisarticle will provide a detailed analysis of the World Trade Organisation (WTO) resolutionof the A4 copy paper anti-dumping conflict between Indonesia and Australia, and itsconsequences for international commerce.

Capacity market in the decarbonization era: Adequacy, flexibility, and environmental revenue

AbstractWith the increasing penetration rate of renewable energy in the power system, it becomes increasingly important to coordinate adequacy, flexibility, and environmental protection. The development of the power market provides diverse signals for power investors and plays an increasingly significant role in the decarbonization of the power system. However, due to the interdependent operations of various power markets, measuring the multifaceted value of power generation within traditional market mechanisms poses considerable challenges. Herein, a bi‐level optimization model is proposed to integrate the capacity remuneration mechanism (CRM), energy market (EM), and carbon emission trading (CET). The adequacy, flexibility, and environmental revenue expectations of different generation resources through synergistic transactions are derived using Lagrange multipliers. Furthermore, the bilevel optimization model is converted to its equivalent single‐level scheme based on the Karush–Kuhn–Tucker optimality conditions. Finally, several case studies are conducted to demonstrate the effectiveness of the proposed model, along with comparisons and sensitivity analyses to study the principles behind synergistic transactions and the impact of some key parameters.

Study On Operation Strategy Of CSP Peak-Regulating Power Station Based On Spot Trading Market In Gansu Province

On March 3, 2022, the National Development and Reform Commission of China and the National Energy Administration of China jointly published the Notice on Accelerating the Construction of the Electricity Spot Market. The notice indicated that the government would support the uninterrupted operation of the power spot pilot project with conditions and form a long-term and stable electricity spot market as soon as possible. These steps will help rapidly improve China's electricity spot market construction. Due to its large-scale energy storage capacity, the Concentrated Solar Power (CSP) station can be used as a peak-regulating power station to provide grid-friendly long-term peak regulating capacity and moment of inertia for the power system. When CSP stations participate in electricity spot market trading, they can optimize their operation strategy to generate more electricity during periods with higher electricity prices, thereby obtaining more profits. In this paper, a 100MW CSP Peak-Regulating Station with an 80.0hm2 reflecting area of Heliostats Field (HF) is designed in Gansu, China. In the Peak-Regulating operation strategy, the most suitable TES Capacity for this project is determined to be 15h. We take this CSP station as the research objective to optimize the operation strategy of the power station. The research results indicate that optimizing the operation strategy will increase the power station's annual electricity sales revenue by about 19.97% before the strategy was optimized when the power station participated in the real-time trading of the Gansu electricity spot market in 2022.

The Comparison Between Random Forest and LSTM Models Based on the Gold Price Prediction

The gold price forecast is crucial for financial institutions, investors, mining firms, and associated enterprises. Precise price prediction is especially important in the gold market because of its volatility and unpredictability; this has important consequences for strategy formulation and decision making. In order to give practitioners a better prediction technique to increase the accuracy of market trading, the aim of this study is to assess the predictive effectiveness of the two models in predicting the gold market. The study forecasts gold prices using the Random Forest and Long Short-Term Memory (LSTM) models, comparing their performances using five assessment metrics. The end findings prove that the Random Forest method outperforms the LSTM model in comparison. In particular, the Random Forest model predicts more accurately and with less inaccuracy. The study finds that, while the Random Forest model is more accurate, both the LSTM model and the Random Forest model are appropriate techniques for gold market projections. To increase the precision and consistency of the predictions, future studies will keep refining the LSTM model and look for causes for its subpar performance.

Analysis of Problems and Countermeasures in Chinese Stock Market

Chinas stock is one of the most popular trading platforms with high global attention, it plays an important role in Chinese economy and global economy. With the rapid development of Chinese economy, Chinas stock market has also achieved significant achievements. It not only provides a vital platform to finance, but also optimize resource allocation. Whats more, it decreases the investors risk of the investment, and makes it is possible for government to carry out macro-economic policies through market stock. it boosts the development of Chinas financial system, and increases the ability of the Chinas financial system to anti-risks. However, there are also some problems existing in Chinese stock market, for example, the less reasonable structure of investors, serious disadvantages in the small and medium-sized GEM market governance, and frequent problems occur in the stock market trading mechanism and exchange system. This paper will as these three problems basis of starting the topic, and put forward countermeasures and strategies, which will have significant role in solving the existing problems efficiently in Chinese stock market.

Towards a Retailess City? A Comparative Analysis of the Retail Desertification between a Global and a Local Commercial Strips in Barcelona

The relationships between the circuits of the urban economy and retail desertification are analysed based on two retail strips in Barcelona: Passeig de Gràcia, a central hub with global reach, and the Sants-Creu Coberta strip, which responds to the demand for consumption on a local, everyday scale. The hypothesis is that the relationships between these circuits and retail desertification behave differently depending on their relative position in the city with respect to consumption flows. This is tested with a one-to-one analysis of the uses of ground floor premises in both strips for 2016 and 2021, using data from the Commercial Censuses of the Barcelona City Council and Barcelona Provincial Council, respectively. Each ground floor premises is classified as superior, lower or vacant, which allows the process to be mapped from 2016 to 2021 for each of the premises. The article provides, first and foremost, an original systematisation of the behaviour, relationships, and observed forms between the circuits and desertification, and secondly, it demonstrates the differential behaviour of these relationships and forms through case studies, indicating that retail desertification is the main cause of economic and landscape change.