GDP Growth Research Articles

A comparative study of the nexus of natural resource investment in national economies: Effects on cultural communication and economic growth

This article provides a comparative analysis of the complex interplay between cultural exchange, national economic development, and investments in natural resources. This research aims to examine how rising Asian countries' economies have grown as a result of a green economic rebound from 2000 to 2020. The study makes use of the D-H causality test methodology as well as the CCE-MG It assesses the varied impacts of resource investment on employment, GDP growth, and income distribution by looking at case studies and empirical data. It examines how investments in natural resources impact economic pathways and cultural communication dynamics. It sheds light on the complex effects of resource investment on cross-cultural understanding and economic development via case studies and empirical data. It also delves into how resource investments impact economic development plans and how cultural communication patterns interact. The results highlight the need to comprehend these relationships for efficient policymaking and sustainable development.

Impact of credit expansion and contraction on unemployment

PurposeWe investigate the impact of private credit expansion and contraction on the unemployment rate in Economic Community of West African States (ECOWAS) countries.Design/methodology/approachCredit expansion and contraction are measured using a three-level criterion. The fixed effect panel regression model was used to estimate the impact of private credit contraction and expansion on the unemployment rate in ECOWAS countries.FindingsPrivate credit contraction significantly increases the unemployment rate in ECOWAS countries. Private credit expansion does not have a significant effect on the unemployment rate. Real GDP growth has a significant negative effect on the unemployment rate which supports the prediction of the Okun’s Law while the inflation rate has a positive and insignificant effect on the rate of unemployment in ECOWAS countries which contradicts the prediction of the Phillips curve.Practical implicationsPolicymakers in ECOWAS countries need to be cautious when introducing policies that lead to private credit contraction as it could increase unemployment. Policymakers in ECOWAS countries should also find the “threshold” below which private credit contraction will worsen the unemployment rate and introduce policy measures to ensure that private credit contraction does not fall below the threshold.Originality/valueThe literature has not examined the factors leading to tight labor markets or unemployment in West African countries.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-12-2023-0939.

Examining the impact of the stock market development on Economic growth- KSA Tadawul.

The relationship between stock market development and economic growth has been a subject of debate, with arguments centered on the impact of a well-functioning stock market on economic growth. This study argues that economic growth is influenced by stock market development and economic reform indicators, while controlling for other determinants of growth. The research employs a comprehensive theoretical framework linking stock market development to economic growth, and it specifically focuses on the Tadawul stock market in Saudi Arabia. The empirical analysis, using sophisticated panel data econometric techniques, reveals a significant positive correlation between Tadawul stock market and economic growth, particularly in the oil sector. This suggests that the Tadawul stock market plays a crucial role in influencing and contributing to economic growth, especially within the context of the oil industry.

Nexus between infrastructural development and economic growth: Evidence from Bangladesh through auto-regressive distributive lag and nonlinear auto regressive distributive lag analysis

This study aims to scrutinize the influence of infrastructure on the economic growth of Bangladesh, employing an extensive time series analysis spanning from 1973 to 2020. Utilizing Principle Component Analysis, two distinct indices were constructed to gauge the dimensions of economic and social infrastructure. Subsequently, Auto-Regressive Distributive Lag (ARDL) and Nonlinear Auto Regressive Distributive Lag (NARDL) bound tests were employed to assess the existence of long-run relationships among the variables under examination. The findings indicate a significant and positive contribution of economic infrastructure to both long and short-term production expansion. Upon further disaggregation into negative and positive shocks, consistent results emerge. An increase (decrease) in the economic infrastructure (EI) index by one unit corresponds to an upsurge (subside) of 0.16% (0.17%) in economic growth. In contrast, social infrastructure (SI) exhibits no significant long-run association with GDP growth. The discerned pattern suggests that EI play a pivotal role in driving aggregate output, while SI display a lag. Despite this, it is imperative to underscore the importance of SI for human development. Consequently, adopting a comprehensive and strategic approach, encompassing vision, ensuring quality inclusivity, and anti-corruption measures, is imperative for Bangladesh to fully realize the transformative potential of its infrastructure investments and foster sustained economic growth.

A Study on Migrated Silk Entrepreneurs for Economic Impact with Special Reference to Kancheepuram

This research paper delves into the economic impacts of migrated silk entrepreneurs in Kancheepuram, a region synonymous with silk production in India. The study's primary objective is to uncover the contributions, challenges, and opportunities that migrated entrepreneurs bring to the traditional silk industry and to assess their role in the economic development of Kancheepuram. Employing a qualitative research design, the methodology hinges on semi-structured interviews with 30 migrated silk entrepreneurs, analysed through thematic analysis using NVivo 12 to identify recurring themes. Key findings reveal that migrated entrepreneurs significantly contribute to job creation, innovation, and market expansion in Kancheepuram's silk industry. They face considerable challenges, including market competition, access to capital, and regulatory hurdles, yet identify notable opportunities in technological advancements, sustainability, and global market integration. The study fills a crucial gap in the literature by offering detailed insights into the complex dynamics between migration, entrepreneurship, and economic development in a traditional industry context. The implications of this research are manifold, highlighting the need for supportive policy frameworks that recognize the unique needs and potential of entrepreneurs in traditional sectors. Furthermore, it underscores the importance of fostering an environment conducive to innovation and sustainability, thereby enhancing the global competitiveness of traditional industries like silk production.

The Impact of Climate Change and Natural Disasters on Pakistan's GDP Growth: An ARDL Analysis

The main objective of this study is to determine the impact of climate change and natural disasters on GDP growth rate. In order to examine long run association between climate change, natural disasters and GDP, an Auto Regressive Distributed Lag (ARDL) model and correlation matrix were employed, using 20 years data spanning from 2001 to 2021. The focus of the study was to investigate into how CO2 emission causes climate change and climate change, in turn, causes natural disasters and, in turn, natural disasters cause human and crop losses as well as high inflation. The empirical evidence reveals that climate change, CO2 emissions and natural disasters have negative association with GDP because natural disasters in the shape of earthquakes, heavy rains, and floods cause huge human and crop losses, have negative impact on GDP. The variables, agriculture production and employment, have positive and significant association with GDP growth because increase in agriculture production and employment will definitely have significant and positive impact on GDP growth in the long run. The study suggests to build resilient technologies to cope with climate change, control CO2 emissions and inflation as these three variables have negative impact on GDP growth in the long run. This study significantly contributes by highlighting the link between climate change and natural disasters and their consequential negative impact on GDP growth.

THE IMPACT OF ICT EDUCATION ON GDP EVOLUTION AT LOCAL LEVEL. A ROMANIAN CASE STUDY

Purpose – This article focusses on the impact generated on GDP growth by the number of graduates in the ICT domain of Romanian counties in the period 2014–2020. Research methodology – We have collected the number of ICT graduates, the GDP per inhabitant in EUR per Romanian county, the number of ICT employees, the number of information service activities employees from the National Institute of Statistics (Romania) and Eurostat. Additionally, we consolidate the correlation matrix and regression analysis for previous statistics indicators. Findings – We have revealed a strong correlation (85,77%) between the number of ICT graduates and the GDP per inhabitant in EUR per Romanian county, and very strong correlations between the number of ICT graduates and the number of ICT employees (94,80%) and the number of employees of information service activities (97,38%). Research limitations – The data set from the National Institute of Statistics (Romania) does not contain entries for every county, due to its statistical methodology, and other socioeconomic phenomena which contribute to the development of the ICT field were just enumerated, such as natality, immigration, and emigration. Practical implications – The study revealed that investment in ICT education (number of graduates) contributes to the local prosperity of communities, counties, and, in general, at the national level as GDP growth. Romanian government can utilize the outcomes of this paper to engage additional resources, funds from Ministry of Education, to develop a long-lived learning culture of ICT skills for the entire population. Originality/Value – The article methodologically highlights the most important ICT hubs in Romania, which are correlated with the existence of an ICT educational infrastructure (high schools and universities) and the measure of impact on GDP growth for the number of highly skilled graduates in the ICT domain. The selected national and European indicators contributed to the novelty of this study.

The chronic illness of poverty: the effects of microfinance on the severity of poverty and the cost of its eradication

PurposeThis paper investigates the impact of microfinance on poverty gap which is the shortfall in income or consumption expenditures below $1.90, $3.20 and $5.50 per day. The paper’s primary goal is to investigate how microloans have impacted the severity of poverty and influenced the cost of poverty eradication in Latin America, empirically evaluate these effects and offer appropriate policy recommendations.Design/methodology/approachThis paper used panel data for 13 Latin American countries from world bank spanning the period 2001–2019 and Fully Modified Ordinary Least Squares model for heterogeneous cointegrated panels. This study used Gross Loan Portfolio per active borrowers, gross domestic product per capita, Gini index, Inflation and Unemployment rate as independent variables and poverty gaps as dependent variables.FindingsPoverty gaps narrow as the loan per borrower increases, and the degree of effect differs with the poverty line, with the magnitude increasing as the poverty line falls, underscoring microloans as an effective tool in closing poverty gaps and lowering the cost of poverty eradication. Growth of GDP per capita is helpful reducing the poverty gap, especially for the less poor of the poor. Inflation and unemployment have no to little impact on the severe poverty gaps, but they start to matter when the poverty line is $5.5 per day. Finally, income distribution inequality widens the poverty gap regardless of the poverty line used.Originality/valueThis study suggests several implications. For example, Latin American nations need to embrace tangible policies that encourage economic growth while reducing inequalities in income distribution to effectively eradicate poverty. More supportive environment is necessary to increase the effectiveness of microfinance operations, particularly for the poorest populations. Microfinance institutions need to set less stringent conditions for loan accessibility and repayment schedules that are commensurate with different levels of poverty. Finally, strengthening microfinance as a strategic policy to gradually close poverty gaps and reduce the cost of poverty eradication.

ОСОБЕННОСТИ РЕАЛИЗАЦИИ РОССИЙСКОЙ ФИНАНСОВОЙ ПОЛИТИКИ В УСЛОВИЯХ САНКЦИОННОГО ДАВЛЕНИЯ

In 2022, Russia experienced maximum sanctions pressure from the EU and the United States, which had a strong impact on the country's economy, and also showed the shortcomings of the previous mechanisms of its functioning. Despite the difficult economic situation, it is necessary to rebuild the Russian financial system based on the needs of an innovative oriented market economy in order to overcome the consequences associated with the introduction of anti-Russian economic sanctions. During the period of structural transformation of the Russian economy, the monetary policy of the state will have to adapt to the changing external and internal conditions of development. A balanced financial policy, effective management and coordination of actions by all stakeholders will contribute to improving the activities of the institutions of the national financial system and meeting the needs of all economic entities in financial resources. The article analyzes financial policy in Russia under the conditions of sanctions restrictions (2021-2023), and also provides forecasts for the draft monetary policy of 2023-2025. The content of Russia's financial policy in modern conditions is revealed. The main directions of using financial resources have been identified. The problems and prospects of further development of the economy, its stabilization and restructuring are analyzed. Economic sanctions are considered, as well as the reasons why they were imposed on Russia. The results of the sanctions pressure on the banking sector are investigated. The measures and actions of the Central Bank aimed at stabilizing and increasing financial stability in the country have been identified. The statistics of inflation and the Central Bank's key rate have been studied. The paper considers the dynamics of real GDP growth in the Russian Federation and the main indicators of the banking sector. The risks of lending and their methods of overcoming are assessed.

An ARDL Method for Evaluating Bangladesh’s Economic Growth Concerning Female Secondary Education

The purpose of this study is to investigate the association between Bangladesh’s economic growth and female secondary education. For this reason, the effects of female secondary education, female labour force participation rate, and female fertility rate on Bangladesh’s Real GDP growth rate are investigated over the years 1995–2021, using a quantitative approach. A long-term relationship between the variables is demonstrated by the Auto Regressive Distributive Lag (ARDL) Cointegration Model, wherein the fertility rate is negatively significant and the female participation rate in the labour force and secondary education are positively significant on the real GDP growth rate. The study uses the Error Correction Model (ECM) to record the speed of adjustment. There is short-run adjustment throughout the entire system, as indicated by the statistically significant and theoretically correct sign of the error correction term coefficient. A more thorough examination is necessary as the Causality test reveals an unanticipated unidirectional association between female secondary education and economic growth.

Insight into the Functional Dynamics and Challenges of Exosomes in Pharmaceutical Innovation and Precision Medicine

Of all the numerous nanosized extracellular vesicles released by a cell, the endosomal-originated exosomes are increasingly recognized as potential therapeutics, owing to their inherent stability, low immunogenicity, and targeted delivery capabilities. This review critically evaluates the transformative potential of exosome-based modalities across pharmaceutical and precision medicine landscapes. Because of their precise targeted biomolecular cargo delivery, exosomes are posited as ideal candidates in drug delivery, enhancing regenerative medicine strategies, and advancing diagnostic technologies. Despite the significant market growth projections of exosome therapy, its utilization is encumbered by substantial scientific and regulatory challenges. These include the lack of universally accepted protocols for exosome isolation and the complexities associated with navigating the regulatory environment, particularly the guidelines set forth by the U.S. Food and Drug Administration (FDA). This review presents a comprehensive overview of current research trajectories aimed at addressing these impediments and discusses prospective advancements that could substantiate the clinical translation of exosomal therapies. By providing a comprehensive analysis of both the capabilities and hurdles inherent to exosome therapeutic applications, this article aims to inform and direct future research paradigms, thereby fostering the integration of exosomal systems into mainstream clinical practice.

Black soldier fly larvae feed suitability for chicken and prospects for economic valuation and viability aspects

Abstract Utilization of black soldier fly larvae (BSFL) emerges as a promising avenue for organic waste recycling and production of protein rich biomass. The current study explored the suitability of BSFL protein feed for chicken and economic facets associated with BSFL rearing facilities, encompassing costs of goods sold (COGs), operating expenditure (OpExp), and capital costs (CapExp). Research revealed that incorporation of BSFL feed for chicken did not exert discernible influences on overall meat quality. However, the amino acid content variation of chicken meat particularly concerning polyunsaturated fatty acids (PUFA), are correlated with the fatty acid composition of the BSFL feed, showed substrate-specific characteristics. The recommended BSFL dosage ranges up to 13% (defatted larvae), 12% (partially defatted BSFL), 14% (dried larvae), and 48% (for whole larvae), which did not affect the chicken body weight and physiological traits, except for the fatty acids profile. However, complete substitution at 100% proved detrimental to body weight. The establishment of a BSFL rearing facility is deemed economically viable, considering large production scales and supply chain development in collaboration with waste material managers. Such collaboration is envisioned to curtail substantial portions of expenses, primarily attributed to transport and labor costs, which constitute 60-70% of the financial outlay in the developing countries context. Based on the operational, capital, and marketing expenditures, the cost for BSFL rearing setup in Asian countries (Pakistan) ranged from US $50,762 to US $100,000, while the estimated profit was US $10,762 to US $51,121. These figures may vary based on cost per product, net price and profit per product, number of products sold, and market share and growth traction facets.

Determinants of Bank Profitability—Do Institutions, Globalization, and Global Uncertainty Matter for Banks in Island Economies? The Case of Fiji

The objective of this study is to examine the influences of institutions, globalization, and world uncertainty on bank profitability in small developing economies. Consequently, we emphasize the significance of both bank-specific and other external factors influencing bank profitability. The empirical estimation is based on seven banks in Fiji—a small island economy—over the period 2000–2021. Together with bank-specific and macro factors, we account for institutions, globalization, and world uncertainty in analyzing the determinants of bank profitability. The study uses the fixed-effect estimation method. From the results, we observe that bank-specific variables, like the net interest margin, non-interest income, bank size, and capital adequacy ratio, are positively associated with bank profitability. Non-performing loans and credit risk are negatively associated with bank profitability. Macro variables, such as real GDP growth and remittances, have positive effects on bank profitability. Institutional factors, such as government effectiveness and voice and accountability, are positively associated with bank profitability. Regarding globalization, we find that it supports bank profitability. Global uncertainty and the Global Financial Crisis (2007–2008) are positively associated with profitability, whereas the global pandemic (COVID-19) is negatively associated. This study underscores the need to analyze the bank performance with factors beyond those reported in financial statements to derive a comprehensive understanding and appreciation of the complex nature of banking operations.

Financial Development and Its Effect on Inclusive Growth in Kenya 2000 – 2022

Purpose: In the past decade, Kenya’s economy registered an average real GDP growth rate of 4.63 percent. Despite this growth, many people have been locked out of social and economic opportunities, with 19.1 percent of the Kenyan population living in poverty. This has intensified the need for inclusive growth, a growth model that promotes shared prosperity. Several studies have shown that financial systems that function well play a great role in the economy through the provision of key financial services that drive growth. However, there is a lack of substantial inquiry into financial development and inclusive growth in Kenya. This study sought to examine this relationship for the period 2000-2022. Methodology: The study employed a causal research design and used time series data that was collected from various databases. The level of inclusiveness in Kenya was analyzed using an inclusiveness matrix. An inclusive growth index was constructed, which was then used to empirically test the effect of financial development on inclusive growth. The data was presented in tables and figures. Findings: The inclusiveness matrix shows that despite positive economic growth rates, there is a low rate of equity growth, which shows that Kenya has a low level of inclusivity. The empirical results show that bank deposits and private-sector credit have a positive and statistically significant effect on inclusive growth. A 1% increase in bank deposits leads to a 0.074% increase in inclusive growth. When private-sector credit increases by 1%, inclusive growth expands by 0.070%. Bank return on assets has a positive but insignificant effect on inclusive growth. The study confirms that financial depth and access to financial services are the most conducive to inclusive growth in Kenya. Other determinants of inclusive growth include initial income, human capital development and macroeconomic stability. The overall findings suggest that financial development can be used to create economic opportunities for poor people in Kenya, thus reducing income disparities. Unique Contribution to Theory, Practice and Policy: The study has contributed to the ongoing conversation on inclusive growth, specifically on its measurement. The empirical results on the finance-inclusiveness nexus provide evidence-based policy interventions that can help in reducing income disparities and enhancing shared prosperity. The findings imply that policymakers and practitioners need to focus their attention on promoting financial access and financial depth in marginalized regions to create a significant impact on inclusive growth in Kenya.

Today’s Finance Markets in Conditions of Poly-Crisis and Crisis of Cost of Living

The article provides characteristics, statistics and factual material on countries connected with the current global economic crisis of the cost of living. The notion of the current poly-crisis was defined as a sum total of old and new risks in their close interaction and their adverse impact on global and national economy and finance markets. The focus was made on tightening of monetary and credit policy of national central banks in 2022–2023 in view of combating inflation, which resulted in more expensive credits, higher profitability of state treasury bonds, bankruptcy of corporations and declining standard of living of people. On the background of the global poly-crisis the author assessed macro-prudential policy of the Bank of Russia and standing of its banking system, including market of preferential mortgage with state support. Within the frames of crisis-management risks of Russian insurance and re-insurance industries were shown, as well as non-credit life insurance as a today’s driver of insurance market growth. In view of import-substitution policy an important innovation of the Moscow exchange – the informational-analytical, financial and trade terminal ‘Trade Radar’ was put forward. The author showed economic essence, trends and tools of de-dollarization policy of Russia and friendly countries, including BRICS project aiming at development of common supranational payment unit.

Pathways to Sustainability in Sub-Sahara Africa: Are Institutional Quality Levels Subservient in Achieving Green GDP Growth?

AbstractThere is a growing need for a transition to green economic growth (GGDP) given that the current economic system is largely environmentally unsustainable. This study thus addresses GGDP enhancement in less developed countries using the case of Sub-Sahara Africa (SSA) countries where institutional deficiencies are typically at the root of most resource depletion and environmental degradation issues. Six institutional quality measures were used namely corruption control, government effectiveness, political stability, regulatory quality, rule of law, and voice of accountability while controlling for other factors like industrialization, energy use, and population growth in the region. The study applied a battery of second-generation panel econometric techniques in the empirical analysis after which both Bootstrap Quantile regression (BQR) technique and panel ordinary least squares (OLS) estimation approaches were applied to observe the variables' roles on GGDP advancement in SSA. From the findings, corruption control and government (policy) effectiveness favorably impact Green GDP in SSA. However, both rule of law and regulatory quality performed poorly as they were insignificant to GGDP enhancement. Furthermore, all control variables promote GGDP except for population growth. Thus, the findings buttress the need to strengthen institutions for effective governance and quality environmental regulations to enhance GGDP growth towards actualizing sustainable development goals (SDGs) in the SSA region.

Modeling the Decision and Coordination Mechanism of Power Battery Closed-Loop Supply Chain Using Markov Decision Processes

Abstract: With the rapid growth of the new energy vehicle market, efficient management of the closed-loop supply chain of power batteries has become an important issue. Effective closed-loop supply chain management is very critical, which is related to the efficient utilization of resources, environmental responsibility, and the realization of economic benefits. In this paper, the Markov Decision Process (MDP) is used to model the decision-making and coordination mechanism of the closed-loop supply chain of power batteries in order to cope with the challenges in the management process, such as cost, quality, and technological progress. By constructing the MDP model for different supply chain participants, this paper investigates the optimization strategy of the supply chain and applies two solution methods: dynamic programming and reinforcement learning. The case study results show that the model can effectively identify optimized supply chain decisions, improve the overall efficiency of the supply chain, and coordinate the interests among parties. The contribution of this study is to provide a new modeling framework for power battery recycling and to demonstrate the practicality and effectiveness of the method with empirical data. This study demonstrates that the Markov decision-making process can be a powerful tool for closed-loop supply chain management, promotes a deeper understanding of the complex decision-making environment of the supply chain, and provides a new solution path for decision-making and coordination in the supply chain.

Examining the European Transition: Central Eastern European Countries Two Decades post-EU Accession

The year 2024 is particularly noteworthy as it marks the 20th anniversary of the European Union's most significant expansion, with ten countries joining the EU. This paper aims to examine the current stage of economic transformation in these 11 Central and Eastern European (CEE) countries, 20 years after their accession, and to identify the sources of their success. The study assesses the initial conditions at the time of EU accession for countries such as the Czech Republic, Poland, Slovakia, Hungary, Estonia, Lithuania, Latvia, and Slovenia in 2004, followed by Bulgaria and Romania in 2007, and Croatia in 2013. It then analyzes the economic perspectives two decades post-accession, summarizing the recent growth drivers. Over the past two decades, the CEE-EU bloc has achieved remarkable GDP growth rates and social progress, demonstrating the effectiveness of structural reforms, both political and economic, integration into the European single market and global value chains, as well as openness and a willingness to learn from others.

THE DETERMINANTS AND IMPACT OF FOREIGN DIRECT INVESTMENT ON THE ECONOMIC GROWTH OF SIERRA LEONE

<p>This article aims to examine the factors that influence foreign direct investment (FDI) and its effects on Sierra Leone's economic expansion. Understanding the elements that draw foreign direct investment (FDI) and its overall effects on the recipient country's economy is crucial as FDI has long been acknowledged as a driver for economic development in developing nations. This study used a mixed-methods approach to examine the factors influencing foreign direct investment (FDI) in Sierra Leone by analyzing both qualitative and quantitative data. Interviews with important stakeholders, including government officials, foreign investors, and industry experts, are used to analyze factors such as political stability, institutional quality, market size, natural resources, and infrastructure. Secondary data are statistically analyzed to determine the importance of these determinants. In addition, the study evaluates how FDI affects Sierra Leone's economic expansion. Analyzing macroeconomic data like GDP growth, employment rates, trade patterns, and technology transfer are necessary for this research. The research offers a thorough understanding of the direct and indirect effects of FDI on the nation's economy by utilizing both descriptive and econometric methodologies. The results of this study have added to the body of information already available on foreign direct investment (FDI) and its effects on economic growth in developing nations, with a particular emphasis on Sierra Leone. Policymakers, government organizations, and investors will be able to create focused strategies to draw in and maximize the advantages of FDI for sustainable economic development with the help of the results, which offers insightful information.</p><p> </p><p><strong>JEL</strong>: F21, F23, O55, O11, C83, C18, P48</p><p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/soc/0771/a.php" alt="Hit counter" /></p>

Decoupling dynamics: Evaluating the relationship between ship emissions and socioeconomic progress in the Yangtze River Basin from 2007 to 2022

To investigate the decoupling relationship between inland ship emissions and regional socioeconomic development in the Yangtze River Basin, this study constructed an emissions inventory for inland ships from 2007 to 2022, based on inland shipping freight statistics and ship carbon pollution emission intensity. Additionally, the Petri-Tapio decoupling model was employed to analyze the relationship between ship carbon pollution emissions and per capita GDP. The study concluded that CO2 emissions from inland ships in the Yangtze River Basin increased from 2.418 million tons in 2007 to 10.801 million tons in 2022. In 2021, the emissions of NOx and SOx from inland ships in the Yangtze River Basin accounted for 2.27% and 0.0021%, respectively, of China's anthropogenic emissions. Despite a year-on-year increasing trend in ship emissions within the basin, significant reductions in PM and SO2 emissions were observed post-2018 due to the implementation of emission reduction policies. Furthermore, we found that economically developed areas such as Shanghai, Jiangsu, and Zhejiang had higher emissions compared to other regions, with regional ship emissions positively correlating with the level of economic activity. Decoupling analysis results indicated that most provinces in the Yangtze River Basin have not effectively decoupled ship carbon pollution emissions from GDP growth. The findings of this study provide support for the Chinese government to formulate stricter ship emission control policies while promoting the growth of the Yangtze River shipping economy.