Implications For Sustainable Development Research Articles

Relationship Between Inter-regional Disparities in Educational Resources and Economic Development

The connection between interregional differences in educational resources and economic development has drawn the attention of educational researchers This paper carries out correlation analysis and linear regression analysis on the relationship between educational resource input and economic growth in 31 provinces of China. Taking human, material and financial resources as independent variables, and GDP, talent resources and tax revenue as dependent variables, it is concluded that the level of teachers has a significant positive correlation with the input of educational resources and talent resources and GDP. As a result, this paper puts forward the suggestions to improve the level of teachers, cultivate excellent teachers and expand the financial expenditure on education and optimize the input of education funding structure. The purpose of this paper is to examine how educational resources affect economic development and to make policy recommendations. The adequacy of educational resources may have an impact on a country's human capital, economic growth, technological innovation, employment levels, and the equitable and stable development of a society, which in turn affects the development of the economy, and has important implications for both social equity and sustainable economic development. By examining the impact of educational resources on economic development, this paper serves as a reminder of the importance of educational resources and provides policy recommendations for improving the quality of education and promoting sustainable economic development, thereby contributing to the development of education, economic growth and social progress in our country globally.

Integrating Complex Derivative Models in Understanding Dollarization’s Impact on Sustainable Development Goals and Environmental Economics: A Neo-Classical Finance Perspective

Dollarization has major implications for sustainable development and environmental economics in developing countries. This paper integrates complex derivative models from neoclassical finance theory, including stochastic volatility, copula, and regime-switching models, to quantitatively analyze the impacts of dollarization. The models examine effects on poverty, inequality, economic growth, natural capital investment, and green bond financing access related to sustainable development goals and environmental economics. Despite limitations in assumptions, the models provide useful risk quantification. Results suggest dollarization exacerbates volatility and negative externalities, hindering sustainability objectives. The integration of derivative modeling and development economics provides an analytical framework for examining dollarization, indicating potential gains from gradual de-dollarization policies. Further empirical research is warranted to validate the theoretical insights.

The Role of China in the Global Economy: Political Strategies and Economic Outcomes

Introduction: The study explores the evolving role of China in the global economy, analyzing its political strategies and economic outcomes within the context of sustainable development goals (SDGs). Methodology: A comprehensive literature review and analysis of recent empirical studies provide insights into China's economic policies, international initiatives, and their implications for sustainable development. Results/Findings: The findings highlight the significance of aligning China's economic strategies with SDGs, emphasizing the importance of sustainable infrastructure development, economic inclusion, climate action, and global economic governance. Future Direction: The study underscores the need for policymakers to mainstream sustainability, strengthen multilateral cooperation, enhance transparency and accountability, and prioritize capacity building and knowledge sharing to achieve sustainable development objectives in collaboration with China.

Contribution of Tax Induced Foreign Direct Investment for Sustainable Development in Bangladesh

Tax incentives play a crucial role in promoting and facilitating foreign direct investment (FDI), thereby contributing to a country's overall economic development. However, Bangladesh experienced a decline in FDI-based foreign income in the first two quarters of 2018, partially attributed to a lag in FDI from the USA. Given Bangladesh's historical challenges with deficit financing post-independence, increasing self-revenue income and leveraging tax-induced FDI are imperative for achieving sustainable development goals. To develop tax incentive-based hypotheses, four investment climate factors are considered: i) Corporate Tax Rate (CTR), ii) Tax Holiday (TaxH), and iii) Tax Concession (TaxC). This research adopts an analytical and descriptive approach, employing a mixed-method research methodology to analyze data sourced from both primary and secondary sources. Data collection methods include semi-structured interviews and documentary analysis, focusing on regulatory bodies like NBR, BIDA, and BOI for tax incentive analysis, and relevant organizations such as BB, World Bank, UNCTAD, BIDS, FIAS, BEZA, and BEPZA for FDI-related documents. The impact of tax incentives on FDI inflows in Bangladesh from 2001 to 2020 is analyzed using a simple regression model. The independent variables include corporate tax rate, tax holiday, and tax concession, while controlled variables such as gross domestic product (GDP) and corruption are also considered, as they may influence FDI inflows. Statistical analysis reveals a negative influence of corporate tax rate on FDI inflows, while the tax holiday variable exhibits a positive and statistically significant relationship with FDI inflows. Furthermore, alongside the contribution of FDI, this study also examines sustainable development trends from 2016 to 2020, providing numerical insights into its attainment. Overall, this research sheds light on the importance of tax incentives in attracting FDI and its implications for sustainable development in Bangladesh.

Navigating Climate Change and Environmental Degradation in Conflict-Affected Regions of Africa: Implications for Sustainable Development and Peacebuilding

Navigating Climate Change and Environmental Degradation in Conflict-Affected Regions of Africa: Implications for Sustainable Development and Peacebuilding

Investigating The Effects of Inductive and Deductive Teaching Strategies on Students’ Learning in Basic General Mathematics: Implication for Sustainable Development

This study investigated the effects of inductive and deductive teaching strategies on students’ learning in Basic General Mathematics in order to promote sustainable development. The study employed a Quasi-experimental design with a focus on Year Two non-science students of Colleges of Education in Oyo State. Sample for the study comprised 235 students from three intact classes in three colleges of Education in Oyo State. The study employed the use of Basic Mathematics Achievement Test (BMAT) comprising of 25 objective questions selected from Basic General Mathematics past questions as research instrument. The instrument was validated and tested for reliability using Kuder Richardson-20 (KR-20) formular having a value of 0.89. Analysis of Covariance (ANCOVA) was used to analyze the data collected at 0.05 level of significance. The findings revealed that the effect of treatment on students’ academic achievement was significant (F(2;231) = 89.93, p< 0.05). The results also revealed that both inductive and deductive teaching strategies introduced had more effects on the academic achievement of the students than the conventional teaching method. Likewise, those exposed to deductive teaching strategy performed better than their counterparts subjected to inductive teaching strategy. The findings recommended that inductive and deductive teaching strategies should be employed in teaching Basic General Mathematics at the Colleges of Education in Nigeria in order to foster improved understanding and application of mathematical concepts for sustainable development.

Integrated approach to assessing water quality parameters and contaminant levels in remote communities: implications for sustainable development

Integrated approach to assessing water quality parameters and contaminant levels in remote communities: implications for sustainable development

Parenting Styles and Gender Differences Among Primary School Pupils with Dyslexia in Rivers State: Implications for Sustainable Development

The study investigated parenting styles and gender differences among dyslexia primary school pupils in Rivers State. The study adopted the ex-post-facto research design. The sample for the study was 136 dyslexic primary school pupils who were selected using purposive sampling technique. An instrument titled ‘Dyslexia Scale for Primary Pupils (DSPP)’ was adapted and used for this study. The reliability coefficient obtained was 0.76.Two research questions as well as two corresponding hypotheses were formulated and used for the study. T-test associated with Regression analysis was used to answer the research questions while Analysis of Variance associated with regression were used to test the hypotheses. The findings of the study revealed that parenting styles (authoritative, authoritarian, permissive) significantly influence dyslexia among primary school pupils in Rivers State, whereas gender differences did not. Based on the findings, it was recommended among others that, teachers should make optimal use of meaningful learning materials in teaching as this will enhance intrinsic motivation in dyslexics and make learning more interesting. Moreso, workshops on dyslexic children needs to be held among school teachers in Rivers State to help them understand these unique learners the more and thus modify their learning needs appropriately.

“I Have the Feeling of Community Again”: The Socioeconomic Impacts of Small-Scale Events on Community Recovery

The COVID-19 pandemic had severe consequences for communities across the globe and especially in Melbourne, Australia, where residents experienced strict control measures and extended lockdowns. Using a mixed-methods approach, this study explores an initiative to facilitate community recovery by analyzing the socioeconomic impacts of small-scale events held by local government in Melbourne’s West shortly after the final lockdown lifted. Survey data were collected from 843 event attendees and 43 business operators, followed by semistructured interviews. Results show that these events generated multiple social benefits by enhancing a sense of community, (re)connecting people, improving mental health, and promoting diversity and inclusion. Economic benefits were generated directly by boosting local and visitor spending and indirectly through increasing business‐community connectedness. The study contributes to the limited empirical research on the value and role of small-scale events for community recovery and has managerial implications for sustainable destination development, recovery, and regeneration strategies.

Emergency and protection of investment in Africa: exploring human rights approach of investment in Republic of South Sudan.

As global economy becomes increasingly interconnected, investment in developing regions such as in Africa has become a crucial factor in promoting economic development and poverty alleviation. Examining the intersection of human rights and investment in South Sudan, the need for a more comprehensive and holistic approach to emergency situations that not only addresses immediate needs but also the long-term implications for human rights and sustainable development. The paper discuss the potential benefits of integrating human rights considerations into investment law and policies in South Sudan, including improved social outcomes, increase investor confidence, and accountability for the foreign investors and governments. This paper also explores the human rights approach to investment in South Sudan, focusing on the protection of investments in emergencies. The human rights based approach to investment can provide a more sustainable and equitable framework for promoting development in fragile states.

IMPROVEMENT OF SAWDUST FIBER IN PROPERTIES OF POLYLACTIC ACID COMPOSITES: EFFECT OF FIBER SURFACE TREATMENTS

In this study, we investigated the impact of surface treatment on polylactic acid (PLA)/sawdust fiber (SF) composites. Utilizing a 20% weight-to-weight ratio of agricultural waste, three distinct chemical modification approaches were employed to treat the sawdust, with the aim of enhancing the compatibility between the PLA matrix and the wood fibers. The treatments included alkali-, benzoyl chloride-, and permanganate-treated SFs. The results demonstrated an increase in rigidity with alkali treatment, while composites treated with benzoyl chloride and permanganate exhibited improved ductility. However, the thermal stability of the treated fiber composites was reduced. Comparative analysis revealed that wood fibers treated with sodium hydroxide and permanganates exhibited superior dispersion in the PLA matrix compared to fibers treated with benzoyl chloride. Beyond these findings, this assessment carries significant implications for sustainable material development, since the utilization of agricultural waste provides an alternative composite material for construction or industrial applications. The study's outcomes contribute to the ongoing quest for eco-friendly solutions in material science and offer practical insights for selecting the most suitable composite material based on specific applications and industry needs.

Sustainable development and renewable energy practice: Strategies towards the achievement of sustainable development goal 7

This study investigates the current status of renewable energy development in Ghana and explores strategic pathways to advance the nation's progress towards Sustainable Development Goal Seven (SDG7), which aims to ensure access to affordable, reliable, sustainable, and modern energy for all. Employing a comprehensive approach, the research combines a thorough review of existing literature, an analysis of national policies, and empirical research to assess the challenges and opportunities associated with integrating renewable energy sources into Ghana's energy landscape. The study begins with an overview of Ghana's energy sector, emphasizing the existing energy mix and its implications for sustainable development. Subsequently, it delves into an assessment of policies and frameworks guiding renewable energy deployment in the country, critically evaluating their effectiveness and identifying potential areas for improvement. Through case studies and data analysis, the research examines specific renewable energy projects in Ghana, providing insights into their successes, challenges, and impact on local communities. To reach SDG7, this thesis outlines the most important ways to improve the development of renewable energy in Ghana. These include policy suggestions, new technologies, financial incentives, and ways to get the community involved. The research also explores the role of international collaborations and partnerships in fostering a conducive environment for sustainable energy growth. The findings contribute to the academic discourse on renewable energy development and offer practical insights for policymakers, industry stakeholders, and development practitioners in Ghana. The study pushes for a sustainable and inclusive energy transition that takes into account both environmental concerns and the need for socio-economic development by aligning the country's energy path with SDG7. Ultimately, this research aspires to guide Ghana toward a more resilient, equitable, and environmentally conscious energy future.

Decoding the livelihood vulnerability of flood-prone communities in Vietnam: Implications for disaster risk reduction and sustainable rural development

In the midst of increasing global uncertainties, understanding household vulnerability to disaster risks and identifying the most susceptible individuals and communities has become an urgent concern. This study assesses and compares the flood vulnerability of two communities, Quang Tho and Quang Phuoc, in Thua Thien Hue Province, Vietnam. The study utilizes primary data collected in 2022 from 280 rural households whose livelihood sources are agriculture and fishery. Flood vulnerability is determined by applying the Livelihood Vulnerability Index based on the Intergovernmental Panel on Climate Change's definition (LVI-IPCC) approach. Our analysis reveals that both communities exhibit moderate vulnerability to flood hazards across various dimensions. Notably, fishing-only communities are found to be more vulnerable to flooding compared to mixed agri-fishery farmers. Additionally, we have identified several factors that exacerbate vulnerability, including poverty, low education levels, single parenthood, limited resources, narrow livelihood strategies, and inadequate social connections. Therefore, development policies and disaster risk reduction programs should prioritize disadvantaged groups, focusing on promoting social inclusion and gender equality in accessing services and public resources. It is concluded that tailored disaster risk management and rural livelihood development initiatives are crucial to addressing each community's specific vulnerabilities and challenges, fostering resilience, and thus reducing future risks. Achieving greater sustainability and equilibrium for vulnerable groups necessitates continuous action and investment.

Bibliometric measurement of the resource curse and its implication for sustainable development

The natural resource curse refers to the phenomenon in which certain resource-abundant countries face limited economic and social development. Inadequate management, corruption and poor governance are recurrent problems associated with it. The relevance of this area lies in its influence on economic and social policy-making in resource-abundant countries. These dynamics challenge the long-term viability of their economies and the equity of the distribution of benefits. Addressing this issue is crucial to mitigate environmental impacts and promote inclusive and sustainable growth in these nations. In this context, a bibliometric methodology is adopted to analyzes the relationship between this curse and sustainable development. The analysis shows studies published since 2004 between Web of Science and Scopus. The results indicate three main categories; Environmental Studies, Environmental Science and Economics. The results contribute to the understanding of the relationship between natural resources and socio-economic development, highlighting the importance of addressing the situation in order to promote sustainable development in the countries concerned. Finally, theoretical and practical implications are presented.

Economic complexity, natural resource abundance and education: Implications for sustainable development in BRICST economies

The environmental threats from climate change and global warming have become more consistent. As a result, several policy solutions, including structural transformation and sustainable resource consumption, have been discussed to ensure compliance with the United Nations sustainable development goals. To extend policy discussion, we select environmental degradation, economic complexity, natural resources, education, economic growth, and banking developments for BRICST economies from 1995 to 2021. The current study has selected CS-ARDL, AMG and CCEMG as an econometric strategy. Our empirical findings confirm that economic growth, natural resource abundance, and banking developments have positive while education carries negative impact over environmental degradation. We also confirm the EKC hypothesis for BRICST economies. Practical policy suggestions to promote green environmental policies to strengthen the sustainable development agenda have been proposed based on detailed empirical analysis.

Heavy metal pollution in surface water bodies in provincial Khanh Hoa, Vietnam: Pollution and human health risk assessment, source quantification, and implications for sustainable management and development

The global issue of heavy metal pollution in surface water poses a significant concern, with the potential to harm public health through various pathways. Given that pollution levels are dependent on water bodies and seasons and their potential impacts on human health vary with children and adults, it is crucial to identify and quantify pollution sources for the development of sustainable management strategies. The current study aimed to evaluate pollution levels and associated health risks of heavy metals and to quantify their pollution sources in various surface water bodies in Khanh Hoa, Vietnam. Water samples were taken from three water bodies (reservoirs, rivers, and narrow waterways) during two seasons (dry and rainy) from 2016 to 2020 and analyzed for seven heavy metals. The results showed that iron had the highest concentration of 392.4 (μg L−1), followed by zinc (25.7 μg L−1), arsenic (3.93 μg L−1), copper (3.77 μg L−1), lead (2.77 μg L−1), chromium (2.71 μg L−1), and cadmium (0.57 μg L−1). Narrow waterways were more polluted with heavy metals (heavy metal pollution index, HPI = 29.5) than other water bodies, such as rivers (23.3) and reservoirs (21.7), and the dry season had a higher HPI (26.5) than the rainy season (24.0). The hazard index for children varied from 1.2 to 1.48, while that for adults was less than 1, suggesting that surface water may have adverse impacts on children's health. The factor analysis identified three primary sources of contamination, namely combustion emissions/street dust, agricultural run-off, and other sources. Cadmium is the most critical metal in determining HPI, while arsenic and chromium are the two key elements potentially influencing children's health. Managing pollution sources, reducing the metal concentration, and controlling the pathways through which metals enter the human body should be implemented for a healthier environment and long-term development.

How does global value chain embeddedness affect environmental pollution? Evidence from Chinese enterprises

This study investigates the impact of global value chain (GVC) embeddedness on corporate polluting behavior at the micro level. Although existing studies have examined the environmental effects of GVCs, little attention has been paid to the underlying mechanisms through which GVCs affect corporate pollution. To fill this knowledge gap, this study uses Chinese industrial enterprise data over the period 2000–2013 as the research setting to examine the impact of embedded GVCs on corporate polluting behavior. We find that the embeddedness of enterprises in a GVC reduces SO2 emissions. The reduction effect of GVC embeddedness is transmitted through scale and technology effects but not through the composition effect. Heterogeneity analysis indicates that such a reduction effect on corporate pollution is more pronounced in general trading enterprises, domestic enterprises, and enterprises located in regions with high environmental regulations. Further analysis suggests that GVC embeddedness reduces SO2 emissions, mainly through front-end pollution control, by reducing the use of fossil fuels rather than back-end governance. Our findings have important practical implications for GVC participation and sustainable development in emerging economies.

Hydrogeological Analysis of Cretaceous and Tertiary Aquifers in Semiarid Sokoto Basin, Northwestern Nigeria: Implications for Sustainable Groundwater Development

Groundwater development in arid and semiarid regions is accelerated by expanded irrigation farming, industrialisation, and municipal water supply. This study provides a detailed hydrogeological analysis of sedimentary aquifers of the Sokoto basin, Northwestern Nigeria, for improved water resource development and management. Hydrogeological data, including static water level (Swl), pumping water level (Pwl), pumping test (Pt), and estimated yield (Ey), were analysed. A total of three hundred (300) observations on Swl, Pt, Pwl, Ey, and Hps were derived from boreholes and analysed using Factor analysis (FA) and Regression analysis (RA). Results showed that Gwandu Formation is the most prolific aquifer. Boreholes can yield more than 24000 litres per hour (L/h). This was followed by The Kalambaina limestone aquifer, which has the potential to yield about 15000 (L/h). However, the Taloka Formation is characterised by very poor aquifers in most of the basin, though along the Jega-Dogon Daji axis, boreholes can yield more than 24000 (L/h). Likewise, boreholes tapping the Wurno Formation can produce a maximum yield of 24000 (L/h). Estimated yields from boreholes were less than 1500 (L/h) from the Gundumi aquifer, and the maximum borehole yields were 17760 (L/h) in the Illo aquifer. Statistical modelling showed that all the analysed variables are significant concerning groundwater potentials and variability of borehole yields in the study area. Therefore, future groundwater resource development in the study area should be based on a proper analysis of the geological configurations of the Sokoto basin. This study provides an outlook on the groundwater potentials of the study area and aquifers that can provide a basis for sustainable groundwater development policy. Thus, the study has shown how multivariate and regression analysis can be used to study the hydrogeological conditions of a particular basin. Therefore, it is hoped that this study's findings will inspire other researchers to take a comparable approach.

Modelling on assessment of flood risk susceptibility at the Jia Bharali River basin in Eastern Himalayas by integrating multicollinearity tests and geospatial techniques

AbstractClimate change and anthropogenic factors have exacerbated flood risks in many regions across the globe, including the Himalayan foothill region in India. The Jia Bharali River basin, situated in this vulnerable area, frequently experiences high-magnitude floods, causing significant damage to the environment and local communities. Developing accurate and reliable flood susceptibility models is crucial for effective flood prevention, management, and adaptation strategies. In this study, we aimed to generate a comprehensive flood susceptibility zone model for the Jia Bharali catchment by integrating statistical methods with expert knowledge-based mathematical models. We applied four distinct models, including the Frequency Ratio model, Fuzzy Logic (FL) model, Multi-criteria Decision Making based Analytical Hierarchy Process model, and Fuzzy Analytical Hierarchy Process model, to evaluate the flood susceptibility of the basin. The results revealed that approximately one-third of the Jia Bharali basin area fell within moderate to very high flood-prone zones. In contrast, over 50% of the area was classified as low to very low flood-prone zones. The applied models demonstrated strong performance, with ROC-AUC scores exceeding 70% and MAE, MSE, and RMSE scores below 30%. FL and AHP were recommended for application among the models in areas with similar physiographic characteristics due to their exceptional performance and the training datasets. This study offers crucial insights for policymakers, regional administrative authorities, environmentalists, and engineers working in the Himalayan foothill region. By providing a robust flood susceptibility model, the research enhances flood prevention efforts and management, thereby serving as a vital climate change adaptation strategy for the Jia Bharali River basin and similar regions. The findings also have significant implications for disaster risk reduction and sustainable development in vulnerable areas, contributing to the global efforts towards achieving the United Nations' Sustainable Development Goals.

Low-Temperature Fermented Straw Compost Regulates Rice Growth and Yield by Affecting Soil Physicochemical Properties and the Expression of Important Signaling Pathway Genes

Soil physicochemical properties affect crop growth and yield. The addition of fertilizers can improve the soil quality during crop cultivation, leading to increased agricultural production. Organic fertilizers may be produced by composting straw that would otherwise be discarded as agricultural waste, with potential implications for sustainable agricultural development. However, the mechanism underlying the effects of straw compost on crop growth is unknown. In this study, a microbial agent suitable for straw decomposition in cold regions was used for a large-scale biological fermentation. Organic compost was obtained after the decomposition of straw. The straw compost was mixed with soil in different proportions and then used to cultivate Songjing 2 rice plants. The addition of straw compost significantly increased the growth and yield of the rice plants and enhanced various physiological indices. Moreover, the straw compost treatment significantly improved soil physicochemical properties (e.g., pH, enzyme activity, nutrient composition, and microbial diversity) and optimized the soil conditions for crop growth. In addition, the application of straw compost influenced the expression of genes in rice metabolic pathways as well as pathways mediating secondary metabolite synthesis and plant hormone signal transduction. The study data reflect the potential applicability of low-temperature straw fermentation technology for maximizing crop production.