Management Policies Research Articles

Stress in Chinese teachers who teach the mathematically gifted: a qualitative perspective.

Those who teach mathematically gifted high school students play a key role in both their identification and cultivation. Teachers who teach the Mathematical Olympiad in China work long hours and teach difficult content; they are under a significant amount of work-based pressure, and that is worthy of further study. This study analyzed the sources of stress for 33 Chinese teachers who teach the Mathematical Olympiad, collected data through semi-structured in-depth interviews, and adopted a subject analysis method based on Bronfenbrenner's ecological system that considers the influences that the complexity of socio-cultural and environment have on individual emotions. It is divided into five structural or environmental systems in which human beings develop, namely the macroscopic, external, meso, micro, and chrono systems. The research results show that the greatest influences on these teachers' stress come from the mesosystem and microsystem levels, and that the key players are students and school leaders. Educational policy and culture are found to be key factors from the macrosystem. Overall, long-term stress was seen to affect both teachers' moods and their physical health. Finally, the results offered implications for education policy and school management and suggestions for the cultivation and management of mathematics teachers who teach the gifted. Limitations of the study are discussed, and directions for future research are proposed.

The Kerch Peninsula in Transition: A Comprehensive Analysis and Prediction of Land Use and Land Cover Changes over Thirty Years

This study presents an in-depth analysis of land use and land cover change on the Kerch Peninsula over a period spanning three decades. Convolutional neural networks were employed in conjunction with satellite imagery analysis to map and quantify the changes in land use and cover. This revealed significant trends and transformations within the peninsula’s landscape. The analysis revealed a notable increase in urban expansion, particularly at the expense of natural ecosystems. Furthermore, there was a notable reversion of agricultural lands to grasslands, driven by economic downturns and reduced agricultural activity. These land cover changes underscore the urgency of implementing sustainable land management policies. The study recommends the establishment of conservation easements to protect remaining natural ecosystems, the initiation of reforestation programs to restore degraded lands, and the development of comprehensive water management strategies to address the peninsula’s hydrological challenges. Furthermore, the study underscores the pivotal importance of integrating change analysis and predictive modeling to anticipate future land cover scenarios and inform effective land management strategies. The model developed through this research, which employs advanced remote sensing and GIS technologies, provides a robust framework for understanding and managing land use and land cover change. This model can serve as a reference for similar regions globally, offering insights that can inform sustainable land use practices and policy decisions. The findings of this study have implications that extend beyond the Kerch Peninsula. They provide insights that can inform the management of land use changes and the conservation of natural landscapes in regions facing comparable socio-economic and environmental challenges.

Dynamics of dispersal: Modeling the impact of dandelion proliferation on environmental and economic equilibria

Dandelion, with its unique wind dispersal mechanism, can easily spread its seeds across vast land areas, encroaching on territories of other creatures. To address this issue, two models are considered: The first model considers wind patterns, temperature, and moisture in dandelion growth, using differential equations to analyze population changes over time. Sensitivity analysis reveals the models responsiveness to these factors. The second model combines ecological and economic factors to assess the impact of invasive species, employing fuzzy mathematics to determine the severity of impact. The study identifies Canada Goldenrod as particularly destructive. These models offer insights for future invasive species management policies, showcasing innovations in incorporating partial differential functions and fuzzy mathematics for more accurate estimations.

Active Engagement in Retirement: Factors That Influence the Participation of Older People in Community Volunteering

Although older adults participating in volunteering promotes “active ageing” and reduces social service burden, not many retied people in China participate in volunteering. Utilizing data from semi-structured interviews with 15 retired individuals in Beijing, this research explores the factors influencing their involvement in community volunteer services. Informed by resource theory and social ecological system theory, a hybrid three-level social ecological systems model is developed following thematic analysis. At the micro-level, foundational factors for volunteering are their human capital, including good health status, ample free time, and satisfaction with pensions. At the meso-level, social capital from family and peers provides essential information and support, while a cohesive community environment fostered through community and volunteer management enhances the willingness to volunteer. At the macro-level, CPC ideologies and governmental policies nurture a culture of volunteerism that facilitates community involvement. The study also investigates interactions across these levels: the microsystem and mesosystem mutually enhance human and social capital, whereas the macrosystem and mesosystem reflect the reciprocal influence of cultural on social capital. Recommendations are offered to increase retired people’s participation in community volunteering, emphasizing community management and governmental policy adjustments.

Pengaruh Karakteristik Direktur Utama Dan Kebijakan Dividen Terhadap Manajemen Laba Dengan Komisaris Independen Sebagai Variabel Moderasi

Earnings management is an action taken to influence the information contained in the financial statements in order to benefit a party. There are several things that can influence companies to carry out earnings management. CEO is fully responsible for all business activities of the company, the pressure faced can encourage them to take opportunistic actions such as earnings management. There are difference opinion between management and investors regarding dividend policy which can lead to conflicts between management and shareholders that can encourage management to carry out earnings management. This study aims to empirically examine the effect of CEO characteristics and dividend policy on earnings management, as well as to examine the moderating role of independent commissioners in testing CEO characteristics and dividend policy on earnings management. This study uses data on manufacturing industry companies listed on the Indonesia Stock Exchange from the 2019-2021 period obtained from www.idx.co.id. The sample used amounted to 126 using purposive sampling method. The hypothesis testing method used is moderated regression analysis using panel data. The results of this study prove that the CEO characteristics and the presence of independent commissioners can influence the company in carrying out earnings management, while dividend policy has no effect. The higher the age of the CEO and the greater number of independent commissioners can have a negative influence on earnings management, while gender and dividend policy have no effect, and tenure has a positive effect on earnings management. In addition, this study found that independent commissioners can moderate the relationship between age and tenure on earnings management. CEO characteristics and the existence of independent commissioners can influence the company in carrying out earnings management, while dividend policy has no influence. The Financial Services Authority needs to pay attention and supervise the role of the company's independent commissioners in relation to earnings management practices.

Water quality assessment in a large plateau lake in China from 2014 to 2021 with machine learning models: Implications for future water quality management

Amid the global surge of eutrophication in lakes, investigating and analyzing water quality and trends of lakes becomes imperative for formulating effective lake management policies. Water quality index (WQI) is one of the most used tools to assess water quality by integrating data from multiple water quality parameters. In this study, we analyzed the spatio-temporal variations of 11 water quality parameters in one of the largest plateau lakes, Erhai Lake, based on surveys from January 2014 to December 2021. Leveraging machine learning models, we gauged the relative importance of different water quality parameters to the WQI and further utilized stepwise multiple linear regression to derive an optimal minimal water quality index (WQImin) that required the minimal number of water quality parameters without compromising the performance. Our results indicated that the water quality of Erhai Lake typically showed a trend towards improvement, as indicated by the positive Mann-Kendall test for WQI performance (Z = 2.89, p < 0.01). Among the five machine learning models, XGBoost emerged as the best performer (coefficient of determination R2 = 0.822, mean squared error = 3.430, and mean absolute error = 1.460). Among the 11 water quality parameters, only four (i.e., dissolved oxygen, ammonia nitrogen, total phosphorus, and total nitrogen) were needed for the optimal WQImin. The establishment of the WQImin helps reduce cost in future water quality monitoring in Erhai Lake, which may also serve as a valuable framework for efficient water quality monitoring in similar waters. In addition, the elucidation of spatio-temporal patterns and trends of Erhai Lake's water quality serves as a compass for authorities, offering insights to bolster lake management strategies in the future.

Sustainability of the use of critical raw materials in electric vehicle batteries: A transdisciplinary review

The expected growth of electric mobility will have major sustainability implications in societies across the globe due to a global reliance on primary natural resources and the uneven distribution of benefits and impacts. There has been a call for comprehensive assessments that account for the complex causalities between technological, environmental, social, economic, and political aspects of electric mobility. We present a literature review examining the interconnections between aspects of sustainability in the use of critical materials in electric vehicle batteries. With a holistic review of social sciences, materials science, environmental policy, and innovation management literatures, five domains of sustainability tensions were identified: 1) resource sufficiency, 2) geographical distribution and global value chains, 3) regulation and policies, 4) circular economy, and 5) emerging battery technologies. The framework explicates the wickedness and complex causalities involved in the interdependencies of multiple sustainability dimensions and the related tensions. This study extends the examination to cover political aspects and adds to techno-industrial research on battery materials, supply chains and industrial policies and land use, electricity consumption and governance in EV battery production. This study proposes pathways forward that consider various sustainability interdependencies.

Multi-objective optimization of forest ecosystem services under uncertainty

Forest ecosystems deliver multiple services crucial for human wellbeing and welfare, with complex relationships among forest ecosystem services (FESs). Implementing sustainable forest management (SFM) policy requires insights into trade-offs, conflicts and synergies among key FESs, necessitating decision-support tools for multiple objectives. However, uncertainty in key parameters adds complexity. We formulated a tri-objective optimization problem concentrating on three vital ecosystem services in Nordic boreal forests: timber supply, climate change mitigation, and biodiversity conservation. Furthermore, future timber price uncertainty was integrated into the optimization model. Utilizing the TreeSim individual-tree growth and yield simulator, we simulated forest growth and yields, carbon stocks, and biodiversity values. Pareto-optimal solutions were found for four distinct management strategies using the epsilon-constrain method to solve the optimization problem. These management strategies differed in spatial restrictions on harvest location and timing, including considerations like harvest adjacency, green-up and maximum harvest opening area (MOA). The analysis revealed trade-offs among all three objectives, with variations influenced by management intensity. Furthermore, within the Pareto solutions for each strategy, a compromise solution was identified based on the knee-point method. The study demonstrated nuanced impacts of green-up constraints related to harvest practices, showing minor effects on harvesting, carbon sequestration, and biodiversity conservation when MOA was restricted to 35 hectares or less. However, more substantial impacts were observed with a MOA limited to 60 hectares or in a strategy without spatial restrictions. Our results underscore the importance of considering multiple objectives in forest management and policy under uncertain wood prices, preventing undesired effects from a singular or deterministic approach. This work provides insights into trade-offs and synergies, contributing to strategic planning and policy design.

Creating Core Cultural Values for Building Excellent Schools: Current Situation and Solutions for Schools in Vietnam

In the world, building excellent schools often relies on a certain school model. For example, models such as “Happy School”, “Amazing School”, “Cultural School”, “BrandSchool”, and “Student-Centered Schools” have been implemented quite successfully. Thecommon purpose of these models is to create an excellent school; the core of these models is the core cultural values. Through studying the models, the article draws out the corecultural values to create an excellent school. Community culture, religious doctrines, laws, state management policies, and knowledge management are factors that influence school culture and are also mentioned. Based on that, a survey was conducted with 1,517 subjects including school managers, teachers, and parents of students at preschool, primary, lower secondary, and upper secondary levels representing four different regions of Vietnam. Theresults show that school managers can express very well the school's vision and missionbut have a vague perception of the essence of school culture and the specific approachtobuilding school culture. In management, school principals lack creative measures in bothapproaching general culture and in creating core cultural values for the school; theinfluence of the impacting factors has not been effectively utilized; therefore, the results of building excellent schools are very limited. Solutions to build excellent schools bycreating core cultural values are proposed in the context of Vietnam and can be referencedfor countries with similar conditions.

Dharma and Dynamics; Integrating The Bhagwat Gita’s Eternal Wisdom with Modern Management Principles

The purpose of the study is to explore the fundamental message of The Bhagwat Gita and its influence on management policies. It is the holy scripture of the Hindus is a part of the religious epic Mahabharata. This study discover how there is interconnectedness in the various management teams. The Gita explains the interconnectedness of all existence. This interconnectedness helps us to understand divinity in all beings The Bhagwat Gita offers profound wisdom that can be adapted to modern management principles. The study is descriptive in nature hence it uses secondary sources of data. The secondary data is collected from newspapers, articles, research journals government and non-government reports. It is observed that The GITA provides most treasured timeless principles that can enrich modern management practices. By integrating the teachings of the Bhagwat Gita, managers and team leaders can create purpose driven organization that will benefit the individuals and society at large. This study tries to fill the gap in the literature review by studying the fundamental message of The Bhagwat Gita and its influence on management policies and explore how the managers can foster innovation and excellence by following the guidelines of The Bhagwat Gita. Very few studies have been conducted that discover interconnection between The Bhagwat Gita and various management teams.

Evaluation of the Lateral Connectivity of the Suncheon’s Dong Stream Based on Riverside Data

The lateral connectivity of Suncheon’s Dong stream was evaluated based on landside, waterside, and levee data of the river. A total of six items was evaluated, crosssectional structure, vegetation cover ratio, connecting waterway gate, levee slopes, urbanized area ratio and wetland area ratio. Among the items, the connectivity was high in the following order: cross-sectional structure, urbanization area ratio, and levee slope. In a total of 16 survey areas of Suncheon’s Dong stream, one, 12, and three areas were evaluated as continuity, damaged, and discontinuity respectively. The downstream section was evaluated as one continuity and three damaged, the lower-middle stream section was evaluated as one damaged and three discontinuity, and the upper-middle stream and upstream sections were evaluated as eight damaged. The cross-sectional structure, vegetation cover ratio, levee slope, and urbanized area ratio had low lateral connectivity in the lower-middle stream survey section, while the wetland area ratio had high lateral connectivity in the downstream survey section. The lateral connectivity evaluation results of the river aquatic ecosystem in Suncheon’s Dong stream can be used as basic data that is helpful in future ecological river management policies.

An Exploration of Recent Developments in Public Policy Management: A Bibliometric Study

Public policy management is a vital area in government decision making that affects society at large. In an effort to understand the latest developments in this domain, bibliometric studies are a relevant and effective approach. This article aims to explore current research trends in public policy management through bibliometric analysis of documents indexed in the Scopus database. Through careful searching and application of strict inclusion criteria, we identified 111 documents relevant to this topic. Our analysis includes mapping collaboration networks between researchers, identifying the most frequently cited publications, as well as analyzing the keywords that most commonly appear in the literature. The results provide in-depth insight into recent research trends, dominant research focuses, and contributions of leading researchers in the field of public policy management. It is hoped that this article will be a valuable reference source for researchers, practitioners and decision makers who are interested in understanding and developing effective and sustainable public policies.

Implementasi Manajemen Sumber Daya Manusia dalam Meningkatkan Motivasi Kerja

Work motivation is an important factor in improving employee performance and achieving organizational goals. Human Resource Management (HRM) plays a crucial role in motivating employees through various strategies and policies. The method used in this study is a type of qualitative research. The data sources obtained in this study are from the results of library research from various sources. The main source of data for this research is the results of research published on google scholar. Data analysis was carried out qualitatively with the stages of data reduction, data presentation, and conclusion drawn. The results of this study are obtained how the role of human resource management in increasing work motivation, effective human resource management strategies and policies to increase work motivation, as well as challenges and solutions in the implementation of human resource management to increase work motivation

An integrated modeling approach to simulate human-crop-groundwater interactions in intensively irrigated regions

Global food security is threatened by aquifer depletion in arid and semi-arid regions. Ensuring aquifer sustainability while minimizing farmers' costs requires effective groundwater management policies, which are informed by hydro-economic models. However, the reliability of these models is typically compromised by oversimplifications. This study introduces a hydro-economic modeling framework (ABM-MODFLOW), applied in the U.S. High Plains, overcoming previous models’ shortcomings. It employs an interdisciplinary approach, simulating real-world farming decisions and the resultant impacts on groundwater systems. Model validation indicates satisfactory performance in reproducing historical data and trends, outperforming the standalone groundwater model. Results show that agents with high irrigation capacities and fine soils earn the highest profits, whereas those with low irrigation capacities and coarse soils achieve the lowest profits. This modeling framework provides an advanced approach for simulating interactions between human decisions, crops, and groundwater in heavily stressed aquifers globally, supporting the development of effective groundwater management policies.

Biomedical Data Repository Concepts and Management Principles

The demand for open data and open science is on the rise, fueled by expectations from the scientific community, calls to increase transparency and reproducibility in research findings, and developments such as the Final Data Management and Sharing Policy from the U.S. National Institutes of Health and a memorandum on increasing public access to federally funded research, issued by the U.S. Office of Science and Technology Policy. This paper explores the pivotal role of data repositories in biomedical research and open science, emphasizing their importance in managing, preserving, and sharing research data. Our objective is to familiarize readers with the functions of data repositories, set expectations for their services, and provide an overview of methods to evaluate their capabilities. The paper serves to introduce fundamental concepts and community-based guiding principles and aims to equip researchers, repository operators, funders, and policymakers with the knowledge to select appropriate repositories for their data management and sharing needs and foster a foundation for the open sharing and preservation of research data.

Dissecting the dynamics of SARS-CoV-2 reinfections in blood donors with pauci- or asymptomatic COVID-19 disease course at initial infection

Background Understanding the dynamics of SARS-CoV-2 reinfections is crucial for public health policy, vaccine development, and long-term disease management. However, data on reinfections in the general population remains scarce. Objectives This study aimed to investigate SARS-CoV-2 antibody dynamics among Austrian blood donors, representing healthy adults, over two years following primary infection and to evaluate the reinfection risk. Methods 117,895 blood donations were analysed for SARS-CoV-2 total anti-N levels from June 2020 to December 2023. We examined anti-N and anti-S antibody dynamics and in vitro functionality in 230 study participants at five defined times during 24 months, assessing associations with demographics, vaccination status, and reinfection awareness. Results The seroprevalence of SARS-CoV-2 infection-derived anti-N antibodies increased over time, reaching 90% by February 2023 and remaining at that level since then. According to serological screenings, we found an 88% reinfection rate, which is in contrast to participants’ reports indicating a reinfection rate of 59%. Our data further reveal that about 26% of reinfections went completely unnoticed. Antibody dynamics were independent of age, sex, and ABO blood group. Interestingly, individuals with multiple reinfections reported symptoms more frequently during their primary infection. Our results further show that vaccination modestly affected reinfection risk and disease course. Conclusion SARS-CoV-2 reinfections were uncommon until the end of 2021 but became common with the advent of Omicron. This study highlights the underestimation of reinfection rates in healthy adults and underscores the need for continued surveillance, which is an important support for public health policies and intervention strategies.

Natural Disasters and Human Development in Asia–Pacific: The Role of External Debt

The average country in Asia–Pacific experiences more natural disasters than average countries of other developing regions. This paper presents stylized facts on natural disasters, human development, and external debt in Asia–Pacific. The paper also contains estimates of the effects that natural disasters have on human development. Controlling for country- and time-fixed effects, the dynamic panel model estimates show that external debt has a mitigating effect on the adverse impacts that natural disasters have on human development; in countries with low external debt-to-GDP ratios, natural disasters significantly decrease the human development index, but not so in countries with high external debt-to-GDP ratios. External debt (i.e., borrowing from abroad) is a financial contract for obtaining resources from abroad (i.e., imports of goods and services). When a country experiencing a natural disaster borrows from abroad to increase imports of goods and services, the population suffers less when a natural disaster strikes. Natural disasters destroy goods and capital (e.g., food, machinery, buildings, and roads) in the countries in which they occur. If imports of goods and services do not increase, then the population has less goods and services to consume following a natural disaster. By increasing imports, which are mirrored on the financial side by an increase in external debt, the population of a country that was struck by a natural disaster can experience consumption smoothing. As the incidence of natural disasters increases globally, a policy recommendation for disaster-prone countries, supported by the empirical results of this paper, is the need for deeper and innovative mechanisms of access to international financing, including reforms in both domestic and international financial systems. The paper’s most significant contribution is the unique lens through which it analyzes the often-studied subject of natural disasters. Rather than looking at disasters as merely adverse events and debt as an unwelcome obligation in isolation, it connects the two and uncovers the paradoxically positive and beneficial role a healthy level of external debt can play in mitigating the adverse effects of these disasters. It provides a fresh perspective, a shift in thinking that may immensely benefit external debt and disaster management policies.

Internet search algorithms: use of metadata, literacy and algorithmic education in the human–computer interaction

Purpose This paper aims to identify alternatives for citizens to get out of the bubble when interacting with the information provided by the internet through search engines. This situation arises because there is extensive ignorance about the way search engines operate and the way advanced search algorithms operate, both situations based on the specific segmentation of the public, which creates difficulties in obtaining vast information that allows the contrast and development of diverse perspectives, which do not necessarily lead to the use of critical thinking. Design/methodology/approach To achieve this contribution, a documentary-type investigation was carried out based on the review of the scientific literature on the subject, and the nature of this investigation, due to its purpose, being descriptive. The study takes as document selection criteria those original articles whose content relevance is linked to the purposes of this research proposal, published in scientific databases (SciELO, RedAlyC, Dialnet, ScienceDirect, WoS and Scopus) mostly between the years 2018 and 2023, in Spanish and English, that described the impact of bubble filters on full access to information and data privacy, for which the topics were addressed: internet search algorithms, bubble filters, search engines, privacy policies in search engines and management of personal data. Findings At the beginning, this paper clarifies the concepts of search algorithms on the Internet, bubble filters, search engines and privacy policies in search engines, which made it possible to identify alternatives that would allow the user to face the silent reality of the algorithms and avoid the bias in the information that the algorithm provides, in addition, the need to generate algorithmic literacy mechanisms, training in the use of metasearch engines and education in algorithms is proposed, with which citizens can exercise critical thinking in the way they interact on the internet. Research limitations/implications This is a theoretical proposal, in which various inferences are made from theoretical knowledge without fieldwork. Originality/value It is considered a document of important value in the training processes of librarians and information professionals in the training of users and in the ways of interaction with technology.

An investigation into the convergence of economic growth among Indian States and the path ahead

This study offers a comprehensive examination of economic growth and convergence in the Indian States and Union Territories (U.T.) over the period from 1991 to 2020. It investigates absolute, sigma, and conditional convergence within this diverse set of states and utilizes the augmented Solow and extended Solow models to explore conditional convergence dynamics. The empirical findings reveal several significant insights. First, there is no substantial negative correlation between the initial per capita GDP ratio and the average annual growth rate, indicating the absence of absolute convergence across the Indian States and U.T. economies during the study period. These results align with those obtained from sigma convergence analysis, reinforcing the absence of widespread convergence. However, conditional convergence is observed, as evidenced by the rate of conditional convergence (coefficient of initial GDP per capita) estimated at 0.038 among the Indian States and U.T. The presence of conditional convergence implies that while initial conditions matter, other factors, including physical and human capital, population growth, and additional variables, significantly contribute to the growth and convergence of Indian regions. The study concludes that policies aimed at promoting economic growth in the Indian States should prioritize the expansion of the labor force, investments in physical and human capital, and prudent government consumption. Furthermore, fostering an environment that encourages access to new technologies and ideas, maintaining sound macroeconomic management, and increasing investments in human capital formation are essential for sustained growth. Effective resource allocation through prudent budgetary policies and heightened investments in the health sector are recommended. Incentives to reduce fertility rates and adept monetary policy management are also identified as crucial elements for ensuring stability and sustainable growth. In summary, this research underscores the importance of adopting a holistic approach to foster economic growth and convergence in the Indian States. The suggested policy measures create a conducive environment for sustained development and prosperity in this diverse and dynamic region.

Assessing Challenges to Solid Waste Management in Urban Local Authorities in Uganda: A Case Study of Arua Municipality

Purpose: Waste generation is associated with and comes with human activities and as such, waste management is an issue which should be shared by every individual, community, organisation or Country worldwide. Depending on climate, life style and behavioural differences, level of industrialisation, available waste management programmers and economic incentives, the problem of waste generation and its management continues to be a major environmental problem in urban centres worldwide. This Paper attempts to assess the Challenges to Solid Waste Management in Urban Local Authorities in Uganda with specific reference to Arua Municipality in North Western Uganda. A Case study design was used. Materials and Methods: A sample of 391 respondents was selected out of a Target population of 7,881 which included; Heads of Households, Business Operators, Elected leaders, Heads of Departments and Solid waste Collectors. The Methods for data collection adopted were Questionnaires, Interviews, Observation and Documentary Review. The Researcher used Regression Technique for data analysis. Findings: The study findings showed that, urban population growth had an inverse relationship with solid waste management while funding had a positive significant effect on solid waste management. The study further found out that, urban population behaviour had a negative relationship with solid waste management. Implications to Theory, Practice and Policy: From these findings the researcher concluded that lack of waste segregation; inadequate facilities and equipment, lack of legislation and bye-laws, and ineffective enforcement are among the major challenges to solid waste management in Arua Municipality. Based on the above findings, the researcher recommends the following; Solid waste segregation (separation), enforcement, legislations and bye-laws, provision of adequate solid waste management facilities and equipment and training/Capacity building programmes on solid waste management. The study findings will help policy makers in formulating sustainable solid waste management policies and designing appropriate methods of managing solid waste in urban Local Authorities. The study findings will help raise awareness on issues pertaining to solid waste management at community level. This awareness will help build initiatives to reduce the solid waste management problem in Arua Municipality. The study will further contribute to the body of knowledge on the studies already conducted on solid waste management in developing countries.