Impact of BRICS Trade Facilitation on China's Exports Using Cross-Border E-Commerce

With the rapid growth of the global digital economy, cross-border e-commerce, as an emerging form of trade, has gradually become a powerful engine to promote the development of global trade. BRICS is an important force in the global economy, and the progress of the BRICS countries' trade facilitation level has an important impact on the global trade environment. This paper conducts an in-depth study of the dynamic changes in BRICS trade facilitation from 2013 to 2022, and uses an extended gravity model to analyze the specific impact of this change on China's exports using cross-border e-commerce. The results show that although the BRICS countries have made some progress in trade facilitation, the overall level still needs to be improved, and there are obvious differences among member countries. However, the improvement of trade facilitation among BRICS countries has undoubtedly brought significant positive effects to China's exports using cross-border e-commerce.

China:In the fourth quarter of 2023,exports of yarn and fabric to ASEAN ceased declining and rebounded

On January 8th,the China Chamber of Commerce for Import and Export of Textiles released data showing that in the fourth quarter,China’s textile and clothing exports gradually stabilised.The proportion of intermediate exports in textile and clothing exports continued to rise,providing a new impetus for the substantial expansion of exports to traditional markets and international supply chain cooperation.

How do green product exports affect carbon emissions?Evidence from China

Green development has become an increasingly important global initiative.Therefore,this study focuses on the impact of green product exports on carbon emissions in China.Firm-level datasets are used to estimate provincial green product exports between 2001-2016.This study estimates the impact of green exports on carbon emissions using the system generalized method of moments methodology.In addition,heterogeneity and asymmetry of the nexus are explored.The following findings are highlighted:(1)China’s green product exports show a significant upward trend during the study period;(2)increased green product exports,especially those of high-technology manufacturers,can effectively mitigate CO_(2) emissions;(3)the influence of green product exports on carbon emissions is regional heterogeneous but consistent across quantiles;and(4)technique and scale effects are significant mediators,whereas the composition effect is not.These findings provide new evidence supporting methods to mitigate China’s CO_(2) emissions by adjusting green product export structures.

Impact of foreign direct investment on the exports of five major sectors of Pakistan’s economy:A governance perspective

This study investigates and analyses empirically the impact of Foreign Direct Investment(FDI)inflows on the exports for a panel series of five large-scale manufacturing industries of Pakistan during the period 2000-2020.For this purpose,we establish export production function as based on endogenous growth theory in which role of FDI is considered as additional determinant of export.The Pedroni residual-based co-integration test and Error Correction Model(ECM)are applied for the long and short-run relationships.Pedroni residual based approach highlighted that human capitals,domestic capitals,foreign direct investments,exports,and domestic sales are co-integrated in the long run.According to results of ECM,coefficient of FDI appears to have statistical significant impact on exports and has a positive sign in the long run.Whereas,FDI does not contribute to export growth in the short run but it takes time to influence the growth patterns of the sector.On the basis of theoretical notion of endogenous growth theory,long-run coefficient of FDI may be interpreted as evidence in favour of the hypotheses that FDI has an impact on exports via export development.Thus,it can be concluded that“FDI-based endogenous growth theory”is valid in the case of Pakistan.

Does Innovation Matter for Chinese High-Tech Exports？ A Firm-Level Analysis

Abstract This paper investigates the impact of innovation on export decisions of Chinese high-tech firms during the period of 2005-2007. Using a parametric, instrumental variable approach and a non-parametric matching method, we find that firm-level innovation efforts, measured by R＆D spending and new product output, play only a minor role for domestic exporters. Foreign-invested firms dominate the high-tech exports but do not rely on indigenous innovation activities. These results demonstrate that the success of Chinese high-tech exports does not result from heavy R＆D expenditure and technological progress. Moreover, different types of innovation measures show different impacts on the likelihood of exporting. The impacts of innovation on exporting vary widely across industries and Chinese regions.

AI-Powered Innovations in High-Tech Research and Development: From Theory to Practice

This comparative review explores the dynamic and evolving landscape of artificial intelligence(AI)-powered innovations within high-tech research and development(R&D).It delves into both theoreticalmodels and practical applications across a broad range of industries,including biotechnology,automotive,aerospace,and telecom-munications.By examining critical advancements in AI algorithms,machine learning,deep learning models,simulations,and predictive analytics,the review underscores the transformative role AI has played in advancing theoretical research and shaping cutting-edge technologies.The review integrates both qualitative and quantitative data derived from academic studies,industry reports,and real-world case studies to showcase the tangible impacts of AI on product innovation,process optimization,and strategic decision-making.Notably,it discusses the challenges of integrating AI within complex industrial systems,such as ethical concerns,technical limitations,and the need for regulatory oversight.The findings reveal a mixed landscape where AI has significantly accelerated R&D processes,reduced costs,and enabled more precise simulations and predictions,but also highlighted gaps in knowledge transfer,skills adaptation,and cross-industry standardization.By bridging the gap between AI theory and practice,the review offers insights into the effectiveness,successes,and obstacles faced by organizations as they implement AI-driven solutions.Concluding with a forward-looking perspective,the review identifies emerging trends,future challenges,and promising opportunities inAI-poweredR&D,such as the rise of autonomous systems,AI-driven drug discovery,and sustainable energy solutions.It offers a holistic understanding of how AI is shaping the future of technological innovation and provides actionable insights for researchers,engineers,and policymakers involved in high-tech Research and Development(R&D).

Does Green Food Certification promote agri-food export quality?Evidence from China

The construction of a food certification system plays a vital role in upgrading export quality, which previous studies have largely overlooked. We match China's industry-level data of Green Food Certification with its HS6-digit export data of agri-food products to quantify the impact of Green Food Certification on export quality. We identify the significant and positive effect of Green Food Certification on export quality. The 2SLS estimation based on instrumental variables and a range of robustness checks confirm the validity and robustness of the benchmark conclusions. Further analysis discloses that Green Food Certification improves export quality by raising agricultural production efficiency and brand premiums. Heterogeneity analysis shows that the effect of Green Food Certification varies across regions, notably improving the quality of agri-food products exported to developed regions and regions with high levels of import supervision. Furthermore, among various product types, Green Food Certification significantly improves the export quality of primary products and products vulnerable to non-tariff measures. The above findings could guide the future development of agri-food quality certification systems, potentially leading to a transformation and promotion of the agri-food trade.

Spatio-temporal evolution of the coordinated development of high-tech industry agglomeration and resource-environmental carrying capacity in the Yellow River Basin

Under the background of new infrastructure,the Yellow River Basin’s superior growth cannot be separated originating with the synergistic effect of scientific and technological inventiveness and ecological civilization construction.In light of the coupling coordination analysis of the coordination effect of provincial high-tech industry agglomeration and resource carrying capacity in the Yellow River Basin from 2009 to 2021,The evolution of the geographical and temporal pattern of development was investigated using the Moran index and kernel density estimation.The results show that the agglomeration of high-tech industries in the Yellow River Basin presents a development trend of seek improvement in stability,and there is a good coupling and coordination throughout the progression of scientific and technological innovation and the loading capacity of the resource,from the viewpoint of a time series.From the perspective of spatial pattern distribution,the whole basin aims at the lower reaches,accelerates the optimization of digital industry and promotes Yellow River Basin development of superior quality through innovation support and increase of input,and based on policy guidance.

Export Competitiveness and Sustainable Development of the Ukrainian Timber Industry

This paper conducts a comprehensive analysis of the export dynamics within the Ukrainian timber industry, emphasizing its pivotal role in the national economy. The study begins by outlining the research objectives, context, and innovative methodologies, setting the stage for a deep dive into the theoretical underpinnings of sustainable and competitive trade. It explores Ukraine’s rich forest biodiversity across varied vegetation zones and its geopolitical significance. Detailed evaluations of forest resource management, policy frameworks, and institutional support form the core of the analysis. Challenges such as imbalanced export structures and legal inconsistencies are critically examined. The research employs trade gravity models and competitive indicators like the Revealed Comparative Advantage (RCA) and Market Share (MS) to assess factors influencing exports and to forecast potential growth areas. The findings inform strategic recommendations aimed at enhancing export capacity through market diversification, brand development, and legal stability. The conclusion highlights the need for strategic interventions to harness Ukraine’s timber resources sustainably, balancing economic gains with environmental stewardship.

Changes in calcium accumulation and utilization efficiency and their impact on recycling,immobilization,and export across the oil palm cycle

Effective calcium(Ca)management is crucial for optimizing oil palm cultivation and enhancing crop yield.This study aimed to gain insights into the dynamics of Ca concentration,accumulation,exportation,immobilization,and recycling in various oil palm organs relative to plant age.The experiment was conducted at the Agropalma enterprise site in the northeastern region of Para State,Brazil,evaluating seven plant age treatments:2,3,4,5,6,7,and 8 years old.Employing a completely randomized design with four replications.The results demonstrated an age-related increase in Ca concentration in petioles,rachis,arrows,male inflorescences,peduncles,and fruits.Furthermore,Ca accumulation exhibited an upward trend in all organs with progressing plant age.Notably,the study revealed an enhanced Ca use efficiency across all plant organs in correlation with the age of oil palm cultivation.These findings underscore the dynamic nutritional demands of oil palm,influencing Ca immobilization,cycling,and export throughout its developmental stages.

Building the ARIMA Model for Forecasting the Production of Vietnam’s Coffee Export

Coffee is a significant industry, accounting for 3% of Vietnam’s GDP, with annual export turnover consistently exceeding USD 3 billion. Despite global economic challenges affecting purchasing power at various times, Vietnam’s coffee exports in December 2023 continued to surge, reaching the highest level in the past 9 months at 190,000 tons, a 59.3% increase compared to November 2023, but still a slight 3.5% decrease from the same period last year. The export turnover reached USD 538 million, a 51% increase from November 2023 and a 26.4% increase from the same period last year. Therefore, forecasting the coffee export volume holds significant importance for coffee producers nationwide. This research employs the Box-Jenkins method to construct an ARIMA model for forecasting Vietnam’s coffee export volume based on annual data published by the General Statistics Office. Results indicate that among the models considered, the ARIMA(1, 1, 2) model is the most suitable. The study also provides short-term forecasts for Vietnam’s coffee export volume. However, the current model is limited to forecasting and is not yet optimized, as the assumed linearity in the model is a simplification.

Analysis of the Impact of Technical Trade Barriers on the Export of Toys-Based on Analysis of Zhejiang,China

Technical barriers to trade,as a non-tariff barrier,have an increasing impact on the international market.As a major province in toy exports,Zhejiang Province’s toy export trade is therefore greatly hindered.This article aims to explore the impact of technical trade barriers on toy exports in Zhejiang Province and analyze countermeasures.Through literature review and some empirical analysis,it is found that technical trade barriers have greatly promoted the development of Zhejiang’s toy industry;however,they have also subjected it to impacts and pressures such as cost and technology.In response to the impact of technical trade barriers on toy exports,this article proposes corresponding countermeasures to avoid such barriers:firstly,establish a quality management system that complies with export product regulations to ensure that the products produced can meet international requirements and standards;secondly,reduce dependence on overseas markets;then enhance one’s own technology,and strengthen product innovation,in order to enhance the international competitiveness of the product and oneself;in addition,we should also explore diversified markets and expand the sales channels and coverage of our products.

Mysterious Exporter for Brassinosteroid First Identified

It is impossible for plants to grow and reproduce without being regulated by phytohormones.One of the phytohormones is the brassinosteroid(BR)hormones,also named as the sixth phytohormone.

China's rare earth import and export analysis in the 1st half of 2024

1.Export situation from January to June 20241.1 Overall export situation of rare earth products Export value of rare earth products showed a wholistic down trend affected by the continuousdecline in rare earth prices in the first half year,however,export volume increased.According to statistics from the General Administration of Customs,from January to June 2024,China's cumulative export of rare earth products was 29,095 tons,an increase of 11%year-on-year,with a cumulative export value of 256 million US dollars,a decrease of 43% year-on-year,Figure 1.

Research on the Threshold Effect of China’s Pharmaceutical Export Trade on Internal and External R&D Investment

Objective To study the threshold effect of export trade on internal and external R&D investment in China’s pharmaceutical industry,and to provide reference for some pharmaceutical enterprises to improve the investment.Methods The panel data of pharmaceutical industry in 25 provinces and cities in China from 2009 to 2019 were selected to conduct empirical analysis by establishing a threshold regression model,and a better export trade interval was obtained.Results and Conclusion There is a threshold value for the effect of new product export on both internal and external R&D expenditures,and the threshold values are 845.2788 million yuan and 318.4198 million yuan,respectively.There is a single threshold effect of export trade on both internal and external R&D investment in China’s pharmaceutical industry,and the effect of export trade on internal and external R&D investment changes from negative to positive as the export trade develops from low to high.

Impact of the COVID-19 pandemic on agricultural exports

The COVID-19 outbreak has shocked the world’s economies in the year of 2020.As this pandemic spreads around the globe,many experts feared that the global food supplies might start running short,especially if supply chains were disrupted.COVID-19 also added to the uncertainty of the business operation.Therefore,it is critical to understand how COVID-19 pandemic affected global food supply and market.In this study,we investigate the impact of COVID-19 on agricultural export companies in China using a unique firm-level survey data.We found that although on average agricultural businesses experienced declines in the exports,exports of some agricultural products especially grain and oil held strong and even increased,implying the essential demand for staple food during the pandemic.Not surprisingly,exports of medicinal herb also increased significantly during the pandemic.However,exports of goods such as edible fungus and horticultural products sharply decreased.Our results also showed that in general,impact of COVID-19 on smaller firms was more severe than that on larger firms.The results of this study can provide useful guidance and implications for agricultural businesses and policy makers on their COVID-19 mitigation efforts to navigate this global pandemic.

Relationship between the Environment and Economic Growth in China via Exports: A Perspective of Ecological Impact (2000-2014)

China’s swift and substantial economic growth over the past 20 years has made the country one of the top industrial powers in the world, second only the United States. From the perspective of ecology and the impact on the environment produced by economic and industrial growth, the exports that have driven rapid growth have also resulted in an alarming level of environmental pollution in major Chinese cities. Research has shown that the Chinese government’s investment in bringing down pollution levels has been insufficient and ineffective. The monetary amount allocated for pollution reduction has barely reached 0.15% of the country’s GDP and has failed to meaningfully reverse the effects of industrialization, including increased exports and economic growth rates affecting China’s ecology. The present study investigated China’s ecological situation in terms of the industrial production that has generated its level of exports, with special focus on problems related to water, air, and solid waste. An econometric analysis was conducted to determine the relationship between the main variables. The exports and GDP (dependent variable), air pollution, water pollution, and industrial solid waste (independent variables) were provided by the Institute of Statistics and the Environment Institute of China for this study. The data was managed in Econometric Eviews 7.0 software and yielded an adjusted R2 of 96.09% (high correlation) with an interesting correlation between the exports and three independent variables;after subsequent variable analysis, we found that investments in water and industrial solid waste were not significant (i.e., that said investments have failed to solve the pollution problem). It is necessary to review the Chinese investment policy with special attention to these variables to appropriately respond to China’s ecological crisis.

Empirically Analysis of the CO_2 Emissions Embodied in Exports of China

In this paper,using the input-output model,the author first calculated the CO 2 emissions embodied in exports of China in 2002 and 2007.Then,the author empirically analyzed problems existing in the composition of exported products and analyzed its possible reasons.The research results of this paper are as follows:Since China's entry into WTO,the CO 2 emissions embodied in exports of China have been increasing rapidly;the value of exported products of high-carbon emissions industries accounts for a relatively higher proportion to China's total exports value because China's carbon intensive products have a certain competitive advantage.Additionally,this paper has put forward relevant suggestions based on these results.

Discussion on the Promotion of Exports is the Only Path for Development in Developing Nations

Nowdays, some people think the promotion of exports as the only way for development in developing counties. However, I disagree with this idea. Admittedly, export can increase the foreign exchange reserves and enlarge the overall revenues of a county. According to the formula GDP=C+I+G+X-M, besides the net export, domestic consumption and investment are also other two indispensable paths to improve the GDP of a developing county.

Study on Building an Econometric Model of Canada's Newsprint Exports to the United States of America

For predictive purposes and for understanding the relationship between the US market and Canadian newsprint producers an econometric model was built. In this study, a simultaneous-equation model was developed, which consisted of four equations, one each for the supply, export, consumption and price of newsprint. The period of 1955-1986 was covered by this model. The data for the years 1985 and 1986 were reserved to test the predictive power of the model. In fitting the four equations for the period of 1955 -1984, the coefficients of determination, the R -square values, between observed and predicted values were higher than 99 per cent. The test results of the forecasting power showed that there was no statistically significant difference between predicted and observed values at the 5 per cent level of significance. Sources of forecasting error are expressed as three partial inequality coefficients associated with bias, variance and covariance of predicted and observed values. The error could not be