Sustainable Development Strategy Research Articles

Surface water dynamics of Africa: Analysing continental trends and identifying drivers for major lakes and reservoirs

ABSTRACT Africa has the most dynamic demographic development worldwide. Current projections predict a population of > 3 billion people by the end of the century. Sub-Saharan Africa alone will likely see a 40% increase in population between 2020 and 2050. Although it is well known that large parts of Africa are in a constant state of water stress, its surface water resources remain understudied. This study analyses long-term trends of surface water in Africa. It identifies causal impacts on major lakes and reservoirs for the timeframe 2003–2020, as well as dynamic and causal similarities between the various lakes. For this, a set of daily time series based on Earth observation is employed. Global WaterPack data is used for a daily uninterrupted time series of the continent’s surface water area. Additionally, an array of relevant independent variables, namely precipitation, total evapotranspiration, groundwater, soil moisture, and gross primary productivity (GPP) in different land use areas is analysed. For causal identification, the Peter and Clark Momentary Conditional Independence algorithm is used. Findings show that > 42% of African countries and > 34% of African ecoregions experience shrinking surface water area. Over 80% of investigated surface water bodies are driven by the surface water in their upstream subbasins and GPP in agriculturally used areas. About 85% of investigated lakes are significantly driven by agricultural usage, often in the form of water abstraction, as referenced regional studies confirm. Our analysis demonstrates the feasibility of conducting causal analyses of surface water dynamics using Earth observation data. Dynamically similar lakes are often impacted by the same drivers, forming regional lake clusters. Considering the causes identified may greatly help adapt strategies for sustainable development. A causality analysis to identify drivers of surface water dynamics has, to our knowledge, never been performed before on this scale and at such high temporal resolution.

Multi-Scenario Simulation of Land Use and Assessment of Carbon Stocks in Terrestrial Ecosystems Based on SD-PLUS-InVEST Coupled Modeling in Nanjing City

In the context of achieving the goal of carbon neutrality, exploring the changes in land demand and ecological carbon stocks under future scenarios at the urban level is important for optimizing regional ecosystem services and developing a land-use structure consistent with sustainable development strategies. We propose a framework of a coupled system dynamics (SD) model, patch generation land-use simulation (PLUS) model, and integrated valuation of ecosystem services and trade-offs (InVEST) model to dynamically simulate the spatial and temporal changes of land use and land-cover change (LUCC) and ecosystem carbon stocks under the NDS (natural development scenario), EPS (ecological protection scenario), RES (rapid expansion scenario), and HDS (high-quality development scenario) in Nanjing from 2020 to 2040. From 2005 to 2020, the expansion rate of construction land in Nanjing reached 50.76%, a large amount of ecological land shifted to construction land, and the ecological carbon stock declined dramatically. Compared with 2020, the ecosystem carbon stocks of the EPS and HDS increased by 2.4 × 106 t and 1.5 × 106 t, respectively, with a sizable ecological effect. It has been calculated that forest and cultivated land are the two largest carbon pools in Nanjing, and the conservation of both is decisive for the future carbon stock. It is necessary to focus on enhancing the carbon stock of forest ecosystems while designating differentiated carbon sink enhancement plans based on the characteristics of other land types. Fully realizing the carbon sink potential of each ecological functional area will help Nanjing achieve its carbon neutrality goal. The results of the study not only reveal the challenges of ecological conservation in Nanjing but also provide useful guidance for enhancing the carbon stock of urban terrestrial ecosystems and formulating land-use planning in line with sustainable development strategies.

Tea tourism landscape development through a sustainable alternative livelihood approach: a case study of Pedro tea estate, Nuwara Eliya, Sri Lanka

Tea tourism has gained traction in the tourism industry around the world as a sustainable and eco-friendly niche in agro-tourism. Sri Lanka, a significant tea-producing nation renowned for its “Ceylon Tea” brand, has the opportunity to harness tea agro-tourism as a sustainable alternative income source. This research focuses on the case of Pedro Tea Estate in Nuwara-Eliya, Sri Lanka, to examine the sustainable alternative livelihood approach in tea tourism landscape development and its impact on both the tea tourism industry and community empowerment. Tea tourism offers immersive experiences to eco-conscious travellers seeking authentic encounters with the tea production process. By integrating sustainable practices, tea tourism fosters environmental responsibility and contributes to economic development in tea-growing regions. Aligned with the Sustainable Development Goals, tea tourism demonstrates its potential to foster economic growth, social inclusion, cultural preservation, and environmental stewardship. This study aims to demonstrate how responsible practices and community engagement can enable the tea tourism industry to thrive while safeguarding the cultural and environmental heritage of tea-growing areas. The research endeavours to inspire other tea-growing regions to adopt sustainable landscape development and community empowerment strategies, fostering a more responsible and sustainable global tea tourism industry.

Digitalization's influence on corporate sustainability strategies in the context of new environmental law

Following the implementation of the new environmental law, this paper investigates the impact of digitalization on corporate sustainability, grounded in digital economy strategies and sustainable development principles. Utilizing a sample of Chinese A-share listed companies from 2015 to 2021, the study explores how corporate digitalization influences their sustainable development and the underlying mechanisms involved. The findings indicate that corporate digitalization significantly improves sustainable development, with internal control quality and financing constraints acting as partial mediators in this process. Based on these findings, recommendations are provided to help Chinese listed companies implement the sustainable development strategies.

Nexus between Islamic Investment, Musyarakah Financing, Islamic Microfinance and Achieving SDGs in Indonesia

Islamic Finance Transformation through analysing the role of musyarakah financing and Islamic microfinance in enhancing Islamic investments in Indonesia has become an important focus to achieve the Sustainable Development Goals (SDGs). This study explores the role of Islamic financial instruments in facilitating investments that not only prioritise financial returns but also social and environmental outcomes. The method used is Fully Modified Ordinary Least Squares (FMOLS) to analyse time series data from 2015 to 2023. The research variables used are Islamic investment, musyarakah financing and Islamic microfinance. The results showed that musyarakah financing has a significant influence on the growth of Islamic investment, thus contributing to poverty alleviation (SDG 1) and increasing financial inclusion (SDG 8). In addition, Islamic microfinance is proven to be effective in empowering the local economy and creating jobs. These findings confirm the importance of Islamic finance integration in sustainable development strategies and offer innovative solutions to complex global challenges

Quantifying the Contributions of Vegetation Dynamics and Climate Factors to the Enhancement of Vegetation Productivity in Northern China (2001–2020)

Vegetation dynamics are critical to the terrestrial carbon and water cycle, with China recognized as one of the largest contributors to global greening due to significant variations in forest coverage. However, distinguishing the effects of vegetation changes from those of climate factors on vegetation productivity remains challenging. This study conducted a comprehensive analysis of vegetation productivity in Northwest China over the past two decades, focusing on the spatiotemporal patterns and drivers of gross primary production (GPP) within ecological restoration areas. Using trend analysis and ridge regression models, we assessed the relative contributions of climate factors and vegetation coverage changes to GPP dynamics. The results revealed a significant increase in both the GPP and vegetation coverage in Northern China from 2001 to 2020, with GPP rising by 6.7 g C m−2 yr−1 and forest coverage increasing by 0.08% per year. A strong positive correlation (r = 0.9) was observed between vegetation coverage changes and GPP. The increase in GPP was driven by both climate factors and changes in forest coverage, with climate factors contributing 61.0% and vegetation coverage changes contributing 39.0%. Among the climate factors, radiation, temperature, and precipitation contributed 15.4%, 6.4%, and 39.2%, respectively. The study highlights the critical role of ecological restoration efforts, particular in regions like the Less Plateau and Inner Mongolian Plateau, in enhancing vegetation productivity. These findings provide valuable insights for addressing desertification and inform strategies for ecological restoration and sustainable development in Northern China.

Sustainable Human Development and Human Resource Management Strategies in Building Sustainable Cities

While the context of rapid urbanization and increasing challenges faced by cities worldwide, the role of Human Resource Management (HRM) in fostering sustainable urban development has garnered significant attention. This paper presents a comprehensive review of existing literature on HRM strategies aimed at building sustainable cities. Thus, a detailed analysis of the prominent findings of studies on “human resource management” and “sustainable cities” in Google Scholar, Web of Science (WoS) and Scopus databases was presented by a literature review. The review synthesizes insights from a range of sources including academic articles to identify key themes, trends, and best practices in HRM for urban sustainability and reveals that effective HRM strategies play a crucial role in addressing urban challenges such as population growth, environmental sustainability, social inclusion, and economic resilience. Furthermore, the review highlights the importance of aligning HRM strategies with broader urban development goals and policy frameworks and emphasizes the need for collaboration among government agencies, businesses, academia, and civil society to implement integrated HRM approaches that promote sustainable urban growth and enhance the quality of life for urban residents. The findings from this literature review also contribute to a deeper understanding of the role of HRM in building sustainable cities. Therefore, this paper concludes with recommendations for future research directions and practical implications for human resource (HR) professionals, policy makers, and urban planners seeking to create more sustainable urban environment.

Efforts to Increase Community Participation in Supporting The Continuity of Ecotourism Development Policies

This research aims to identify strategies that enhance community participation in supporting the sustainability of ecotourism development policies. The study specifically explores how local communities can be involved in decision-making, implementation, benefit-sharing, and evaluation activities within ecotourism projects. The methodology used is a qualitative literature review, drawing on secondary data from sources such as journal articles, theses, government reports, and books relevant to community engagement and ecotourism. The results indicate that active community participation significantly improves the sustainability and success of ecotourism projects. By engaging local communities, ecotourism not only promotes environmental and cultural conservation but also brings economic benefits, such as job creation and income growth for local populations. In particular, the involvement of communities in planning and policy evaluation is essential for aligning ecotourism initiatives with local needs. The conclusion emphasizes that fostering community involvement through education and training is critical for empowering communities and ensuring the long-term sustainability of ecotourism projects. This research provides valuable insights for policymakers to create more inclusive and sustainable ecotourism development strategies. Keywords: ecotourism, policy, community

Competencies for sustainable financial and economic management: Their impact on human capital development and national security

The relevance of the study is determined by the orientation of modern society towards the strategy of sustainable development. The advent of the era of “globalization through sustainable development” is accompanied by the strengthening of “old” threats and the emergence of “new” ones. According to the article, the sustainability viewpoint systemically links the social, economic, and environmental domains into a dynamic, long-term view, which is the fundamental contribution of the perspective to the examination of security challenges. It also signifies a paradigm change in how public administration functions when analyzing security risks at the state and federal levels. Competences for sustainable financial and economic management are considered in frames of sustainable public management, implying, in particular, positive impact on human capital and contributing to national security through ESG paradigm implementation.

Unlocking the potential: How does technological innovation shape inclusive wealth? Empirical insights from top seven emerging economies

Amidst the pursuit of sustainable development and economic prosperity, there has been growing criticism directed towards traditional metrics such as GDP because of their narrow focus on societal well-being and environmental considerations. Therefore, our study shifts its focus from GDP to a more comprehensive measure of wealth, known as inclusive wealth. Our objective is to investigate how technology contributes to the advancement of inclusive wealth encompassing produced, natural, and human capital. We centred our analysis on the top seven emerging economies (E−7) and utilized data from the period of 1998–2022. Employing Fully Modified Least Squares (FMOLS), we develop four distinct models to examine the impact of technology on its various components and overall inclusive wealth. We also checked the robustness of our results by employing Cross-Sectionally Augmented Autoregressive Distributed Lag (CS-ARDL) model. Our findings reveal that technological advancement has a positive effect on each component of inclusive wealth, including produced capital, human capital and natural capital. Additionally, our results indicate a favourable impact of technological progress on overall inclusive wealth. These results emphasize the importance of incorporating technology into strategies for sustainable development and inclusive wealth.

Vegetation Growth and Physiological Adaptation of Pioneer Plants on Mobile Sand Dunes

The Hunshandake Sandy Land is one of the largest sandy areas in China and the closest source of sand dust to the Beijing and Tianjing areas. Sand fixation by vegetation is considered the most efficient strategy for sand control and sustainable development, so clarifying the vegetation coverage and plant adaptation characteristics in the Hunshandake Sandy Land is helpful in guiding restoration and improving local sustainability. Here, we investigated the vegetation growth on the mobile sand dunes in the Hunshandake Sandy Land and specified the photosynthesis and stomatal characteristics of the pioneer plants for sand fixation. The vegetation survey showed that the windward slopes of the mobile sand dunes had far lower plant coverage (6.3%) and plant biodiversity (two species m−2) than the leeward ones (41.0% and eight species m−2, respectively). Elymus sibiricus L. and Agriophyllum squarrosum (L.) Moq. were the only two sand-fixing pioneer plants that grew on both the windward and leeward slopes of the mobile sand dunes and had higher plant heights, greater abundance, and more biomass than other plants. Physiological measurements revealed that Elymus sibiricus L. and Agriophyllum squarrosum (L.) Moq. also had higher photosynthetic rates, transpiration rates, and water use efficiency. In addition, the stomata density (151–197 number mm−2), length (18–29 μm), and area index (13–19%) of these two pioneer species were smaller than those of the common grassland species in Inner Mongolia, suggesting that they were better adapted to the dry habitat of the mobile sand dunes. These findings not only help in understanding the adaptive strategies of pioneer plants on mobile sand dunes, but also provide practical guidance for sand dune restoration and the sustainable development of local areas. Pioneer sand-fixing plant species that are well adapted to sand dunes can be used for sowing or aerial seeding in sand fixation during ecosystem restoration.

The Impact of Innovation, Circular Economy and Sustainable Development Strategies Aimed at Low-carbon Economy on Brazilian Business Performance

The Impact of Innovation, Circular Economy and Sustainable Development Strategies Aimed at Low-carbon Economy on Brazilian Business Performance

Exploring the nexus of oil price shocks: Impacts on financial dynamics and carbon emissions in the crude oil industry

This empirical study delves into the intricate interplay between oil price shocks (OPS) and their dual impacts on both carbon emissions and the financial performance of the crude oil industry. Utilizing a sophisticated econometric approach, the study employs a Nonlinear ARDL model to meticulously scrutinize the enduring and immediate associations between oil prices and key financial indicators such as stock prices, dividends, and profit ratios of oil exploration industries. Given the significant fiscal and ecological transformations in China during this period, the chosen factors provide a robust framework for measuring changes at both microeconomic and macroeconomic levels, contributing valuable insights to sustainable economic development strategies. Our findings elucidate a statistically significant influence of OPS on the financial performance of the oil industry, particularly in the short term. The increase in the volatility level of OPS manifests a discernible decline in stock prices and profit ratios. Intriguingly, the study further uncovers a nuanced facet of OPS, revealing a prolonged and beneficial impact on carbon emissions in the long term. More importantly, heightened oil prices serve as a catalyst, motivating oil exploration companies to intensify production and exploration activities, thereby increasing carbon emissions in a direct relationship. The implications of these findings are pivotal for policy making, underscoring the imperative for decision-makers and industry stakeholders to pivot towards cleaner, more sustainable energy sources. The research augments the ongoing discourse surrounding the intricate nexus between energy costs and carbon emissions, furnishing invaluable insights that could steer the development of policies geared towards fostering sustainability and mitigating the adverse effects of climate change.

Transferred Bias Uncovers the Balance Between the Development of Physical and Socioeconomic Environments of Cities

Evaluating the balance between a city’s physical and socioeconomic environmental development is crucial for creating sustainable and livable urban spaces. Although they might appear contradictory, they jointly support the comprehensive sustainable urban development strategy. Traditional methods usually focus on assessing this balance from a specific perspective, such as how neighborhood greenery shapes real estate value. Yet, they fail to deliver a holistic balance assessment in developing the physical and socioeconomic dimensions. To fill this gap, this study introduces a research framework that measures this balance through house prices based on transferred bias. Using house price as an indicator shaped by both physical and socioeconomic environments, the framework first constructs a series of deep learning models to estimate house prices through street view images for each city. These models capture the relationship between neighborhood appearance and house price. Second, by leveraging transfer inference, we introduce neighborhood appearance from one city into the model trained from another city. This process identifies the transferred bias, which is the disparity between inaccurate inference resulting from a mismatched neighborhood appearance and the trained model. Through transferred bias, we can quantify the differences in physical and socioeconomic environments across cities and evaluate the urban balances of these two environments. The results show that the transferred bias effectively quantifies the disparities among cities in physical and socioeconomic environments, thereby facilitating further investigation into the urban balance between these two environments.

Sustainable Consumption and Residents’ Happiness: An Empirical Analysis Based on the 2021 Chinese General Social Survey (CGSS2021)

Sustainable consumption is a fundamental driver for implementing sustainable development strategies and is crucial in advancing Chinese-style modernization. Utilizing data from the Chinese General Social Survey 2021 (CGSS2021), this study examines the relationship between sustainable consumption and residents’ happiness, classifying its effects into growth and sustainability. The study results show that (1) sustainable consumption positively influences residents’ happiness. (2) Regionally, in the central and western regions, sustainable consumption significantly enhances residents’ happiness, with the sustainable effect surpassing the growth effect. In contrast, in the eastern region, sustainable consumption alone does not substantially improve residents’ happiness; instead, the growth effect predominates. (3) From an urban–rural perspective, sustainable consumption notably impacts happiness in rural areas. In contrast, urban areas primarily benefit from the growth effect of sustainable consumption, with the sustainable effect being less significant. (4) From an age-related perspective, different factors predominantly influence the happiness of various age groups. For young people, health plays a crucial role in their overall happiness. In contrast, middle-aged groups place more importance on their marital status, while older people are primarily concerned with housing conditions. (5) Income analysis shows that income increases substantially impact the happiness of high-income groups compared to low-income groups. Based on these insights, we recommend enhancing education and guidance on sustainable consumption, implementing regionally differentiated policies, increasing support for green consumption in rural areas, developing age-specific policies, and addressing income disparities. These measures can enhance the residents’ happiness more effectively and contribute to sustainable societal development.

Identification of optimal waste-to-energy strategies for sustainable development in Iran: SWOT analysis, hybrid MCDM methods, and game theory

The growing global focus on environmental sustainability and the pressing need for efficient waste management and energy crisis mitigation have prompted extensive investigations into sustainable waste management strategies. Given Iran's economic development and population growth, the country faces challenges in energy supply and waste management, making waste-to-energy (WtE) applications a promising solution for sustainable waste management. This study employs a combination of SWOT (Strengths, Weaknesses, Opportunities, and Threats) analysis, Multi-Criteria Decision-Making (MCDM) approaches, and game theory to explore WtE technologies and processes, evaluate their applicability within Iran's context, and identify the most effective WtE strategies for the country. Furthermore, game theory and fuzzy Shapley value analysis were utilized to determine the optimal combination of WtE development strategies. The strategy player “SO” held the highest position of power, with a fuzzy Shapley value of (0.391, 1.744, 3.264), resulting in the identification of the optimal strategy combination of SO2ST2WO1WT2, with a value of (0.429, 0.679, 0.893). The recommended combination emphasizes landfill with gas capture, development of incineration power plants, and integrated resource recovery through residue-derived fuel (RDF) implementation. Achieving these objectives necessitates energy policy reforms, pricing adjustments, improvements in the energy subsidy system, and infrastructure and market development.

Dynamic Interactive Effects of Technological Innovation, Transportation Industry Development, and CO2 Emissions

This paper aims to clarify the intricate relationships between technological innovation, transportation industry development, and CO2 emissions to facilitate a positive synergy among technology, the economy, and climate, advancing the fulfillment of the ‘double carbon’ goal. Utilizing panel data from 30 provinces in China from 2005 to 2020, we employ the panel vector autoregressive model using a generalized method of moments to empirically examine the dynamic interactive effects between these participants. The findings reveal that the transportation industry significantly promoted the inhibitory impact of technological innovation on CO2 emissions. However, such reductions cannot counterbalance the rise in emissions from the transportation industry. Moreover, its effects varied significantly across regions. Specifically, transportation industry development within eastern China contributed to a shift in the local carbon emission effects from positive to negative under the positive influence of technological innovation. In the northeast, the transportation industry enhanced the inhibitory effect of technological innovation on CO2 emissions. In contrast, across the western region, industrial development in transportation intensified the role of technological innovation in promoting CO2 emissions. Furthermore, this work found that CO2 emissions notably diminished the CO2 reduction performance of technological innovation in the eastern part and enhanced this performance in the northeastern region. These findings further revealed the complex interplay between technological innovation, the transportation industry, and CO2 emissions. They offer insights for policymakers to tailor region-specific technologies to bolster the ‘dual carbon’ goal and sustainable transportation development strategies, thereby achieving CO2 reduction.

Integrating Human Resource Development and Halal Tourism Strategies for Sustainable Development in Indonesia

This research aims to explore the integration of human resource development (HRD) into the growth of the halal tourism industry in Indonesia. Using a literature review method, the study examines strategies to enhance the sector's sustainable competitive advantage by focusing on HRD initiatives, including employee training, cultural competence, and service quality improvement in accordance with sharia principles. The findings indicate that while Indonesia has great potential in halal tourism, several barriers such as institutional readiness, inadequate infrastructure, and regulatory gaps hinder its full development. The study emphasizes the importance of continuous innovation, strategic marketing, and regulatory alignment to overcome these challenges. Recommendations include investing in human capital and fostering innovation to ensure Indonesia’s positioning as a global leader in halal tourism.

Evaluation of Compost and Manure Amendments for Suppressing Heterodera glycines.

Soybean cyst nematode (SCN) is a major pest of soybean crops, causing significant yield losses and economic impact. Current management strategies primarily rely on resistant varieties, cover crops, and seed treatments. In addition, there is a growing interest in developing sustainable, ecologically based approaches to integrate SCN risk reduction into soybean production systems. This study aimed to evaluate the efficacy of various compost and manure amendments in suppressing SCN populations and promoting soybean productivity. An in vitro egg hatching assay was conducted to screen the inhibitory effects of different compost and manure extracts on SCN egg hatching. Results indicated that poultry manure, Layer Ash Blend, and swine manure extracts significantly inhibited SCN hatching compared with other treatments across multiple time points. Greenhouse trials further validated the effectiveness of Layer Manure, poultry manure, High Carbon Dairy Doo, and Seed Starter 101 in suppressing SCN cysts, eggs, and juveniles. A field microplot trial confirmed the potential of Layer Ash Blend and poultry manure in SCN management, with significant reductions in SCN populations and increased soybean yields. The study also investigated the impact of these amendments on promoting the population of bacterivorous and frugivorous nematodes, contributing to a biological diverse soil ecosystem. Overall, the results indicate that amending SCN-infested soil with specific compost or manure formulations can effectively suppress nematode populations while improving soybean productivity. These findings contribute to the development of sustainable strategies for SCN management in soybean production systems.

Optimization of household medical waste recycling logistics routes: Considering contamination risks.

The escalating generation of household medical waste, a byproduct of industrialization and global population growth, has rendered its transportation and logistics management a critical societal concern. This study delves into the optimization of routes for vehicles within the household medical waste logistics network, a response to the imperative of managing this waste effectively. The potential for environmental and public health hazards due to improper waste disposal is acknowledged, prompting the incorporation of contamination risk, influenced by transport duration, waste volume, and wind velocity, into the analysis. To enhance the realism of the simulation, traffic congestion is integrated into the vehicle speed function, reflecting the urban roads' variability. Subsequently, a Bi-objective mixed-integer programming model is formulated to concurrently minimize total operational costs and environmental pollution risks. The complexity inherent in the optimization problem has motivated the development of the Adaptive Hybrid Artificial Fish Swarming Algorithm with Non-Dominated Sorting (AH-NSAFSA). This algorithm employs a sophisticated approach, amalgamating congestion distance and individual ranking to discern optimal solutions from the population. It incorporates a decay function to facilitate an adaptive iterative process, enhancing the algorithm's convergence properties. Furthermore, it leverages the concept of crossover-induced elimination to preserve the genetic diversity and overall robustness of the solution set. The empirical evaluation of AH-NSAFSA is conducted using a test set derived from the Solomon dataset, demonstrating the algorithm's capability to generate feasible non-dominated solutions for household medical waste recycling path planning. Comparative analysis with the Non-dominated Sorted Artificial Fish Swarm Algorithm (NSAFSA) and Non-dominated Sorted Genetic Algorithm II (NSGA-II) across metrics such as MID, SM, NOS, and CT reveals that AH-NSAFSA excels in MID, SM, and NOS, and surpasses NSAFSA in CT, albeit slightly underperforming relative to NSGA-II. The study's holistic approach to waste recycling route planning, which integrates cost-effectiveness with pollution risk and traffic congestion considerations, offers substantial support for enterprises in formulating sustainable green development strategies. AH-NSAFSA offers an eco-efficient, holistic approach to medical waste recycling, advancing sustainable management practices.