Management Authorities Research Articles

Analysis of Synergistic Changes in PM2.5 and O3 Concentrations Based on Structural Equation Model Study

Given the increasing importance of effectively identifying synergistic changes between PM2.5 and O3 and comprehensively analyzing their impact on air quality management in China, we employ the Sen+Mann–Kendall (Sen+M-K) trend test in this study to examine the temporal and spatial variation trends of PM2.5 and O3 in the Yangtze River Delta (YRD), from 2003 to 2020. We identified the regions where these pollutants exhibited synergistic changes and established the pathways between the pollutants and their potential drivers, using geographically weighted random forest algorithms and structural equation modeling. The study results revealed as follows: (1) Overall, the PM2.5 concentrations show a decreasing trend, while the O3 concentrations exhibit an increasing trend, in the YRD. Analysis of the combined trends indicates that approximately 95% of the area displays opposing trends for PM2.5 and O3, with only about 4% in the southern region showing synergistic trends for both pollutants. (2) Drought and the average temperature are the main drivers of the changes in PM2.5 and O3 concentrations in areas experiencing synergistic changes. Their combined effects alleviate the aggregation of PM2.5 and reduce the formation of VOCs, indirectly reducing the generation of pollutants. The negative effect of the average temperature on the O3 concentration may indicate the existence of nonlinear effects and complex interaction effects between the drivers. NOx and VOCs play important dual roles in the generation and conversion of pollutants, although their overall impact is smaller than meteorological factors. They produce significant indirect effects through their interaction with meteorological and other human factors, further affecting the concentrations of PM2.5 and O3. In areas without coordinated changes, the main impact of meteorological factors remains unchanged, and the relationship between the two anthropogenic emission sources and their effects on PM2.5 and O3 are complex, with different directions and levels involved. This study provides detailed insights into the drivers of air quality changes in the YRD and offers a scientific basis for environmental management authorities to develop more comprehensive and targeted strategies for balancing the control of PM2.5 and O3 pollution.

Quantitative Estimation and Analysis of Spatiotemporal Delay Effects in Expressway Traffic Accidents

Expressway traffic accidents often result in severe congestion, with their unpredictable nature complicating timely and effective response measures. This paper presents a comprehensive method for accurately estimating and analyzing the spatiotemporal delay effects of expressway accidents through the integration of multi-source geographic data. The innovation lies in utilizing real-world vehicle trajectory data, combined with a Traffic Performance Index (TPI), to quantitatively assess delay impacts. By applying spatial clustering and hotspot detection techniques, we investigate the distribution patterns of delays and further employ a Spatial Error Model (SEM) to examine the relationships between accident characteristics and associated delay effects. Using expressway accident data and vehicle trajectory records from Hunan Province, the results demonstrate that the TPI-based approach effectively captures the duration, extent, and severity of traffic delays. Moreover, significant correlations are identified between delay impacts and specific accident characteristics, such as accident type, road type, road environment, pre-accident vehicle speed, and secondary accidents. This approach provides traffic management authorities with actionable insights into the overall roadway impact, facilitating targeted emergency response strategies and informing road usage policies tailored to the characteristics of accident impacts, thus helping to mitigate future risks.

Systematic review and meta-analysis of workload among medical records coders in China.

The homepage of medical records holds significant importance for national performance assessments, DIP settlement lists, and DRG payments. Coders, as auditors of the codes, wield a crucial influence on the quality of the medical records' homepage. To analyze the general situation of the allocation of medical record full-time coders in China. CNKI, Wanfang, VIP, PubMed and other databases were searched from database inception to November 31, 2023. The primary outcome was the allocation of medical records to full-time coders, with the workload of the coders being the primary focus. Secondary outcomes encompassed the professional background of the coders, including their academic qualifications, professional titles, possession of medical coding certificates, and years of experience in coding. Eleven studies, comprising data from 1783 hospitals and 4448 coders, were analyzed. Among the coders, 61% had a medical-related professional background, 62% held a bachelor's degree or higher, 54% possessed an intermediate title or higher, 61% had coding certificates, and 51% had less than 5 years of work experience. The summary findings regarding the number of coders and coded medical records in secondary and tertiary hospitals indicated an average discharge rate of 22,704.0 per hospital in China. The number of coded cases averaged around 11,300. Specifically, coders in tertiary hospitals coded approximately 12,049 medical records on average, while those in secondary hospitals coded around 7,399 medical records. Our study highlights the shortage of medical record coding personnel in the majority of hospitals, coupled with a significant coding workload, low educational qualifications among staff, short working hours, and an imbalanced title structure. Given these findings, hospitals and relevant management authorities should prioritize the recruitment of highly educated professionals, streamline the assessment process for professional titles, alleviate the coding workload, and enhance coding quality.

The Pijao Indians in the Colombian Andes: a legacy for organizational democracy

Purpose The purpose of this paper is to present the organizational and managerial practices of the Pijaos community as a segmentary organization located in the Colombian Andes, providing a cultural legacy through the effective management of power and authority, while establishing a bridge to organizational democracy (OD). Design/methodology/approach A review of books, papers and historiographies was conducted to collect historical data on the Pijaos. Findings It was found that the social organization of the Pijaos was devoid of power ambitions and abuses of authority, thanks to characteristics inherent in their economic system, parenting style, socio-political structure and authority based on rotation of leaders rather than supreme delegation under an inheritance scheme. Originality/value Management literature has not considered the ancestral Amerindian communities of the southern continent to rescue their organizational practices and relate them to the new management trends, as organizational democracy, which not only operates based on flat structures but also considers the rotation of individuals holding positions of power.

An Urban Lake Drainage Catena: Influences of Terrain, Soils, and Precipitation

Urban lake drainage systems are heavily impacted by terrain, soil characteristics, and precipitation, which influence water infiltration and groundwater movement. This study focused on the drainage catena around Lake Nokomis in Minneapolis, Minnesota, where local residents have experienced wet basements and yards. The primary goal was to identify the factors contributing to these water-related problems, particularly soil permeability and how it responds to precipitation. By conducting soil borings, using pressure transducers, and measuring saturated hydraulic conductivity (Kfs), the study compared upland and lowland areas. Findings indicated that upland soils, primarily composed of sandy fill, had much higher infiltration rates, with Kfs values ranging from 72.4 cm/hr to 149 cm/hr. In contrast, lowland areas characterized by lacustrine and organic soils exhibited significantly lower Kfs values, ranging from 1 cm/hr to 14.8 cm/hr. Between 2022 and 2024, wet and dry seasons occurred, yet recorded more than 127.5 cm of rain and snow water equivalent, further contributing to groundwater rise and surface water presence in low-lying regions. The study concluded that increased precipitation, coupled with specific hydrogeologic conditions, was the main factor causing elevated groundwater levels and surface saturation in these areas. To address these challenges, Minnesota's water management authorities are encouraged to implement strategies that consider the increasing magnitude and intensity of precipitation events due to climate change. Incorporating hydrogeologic assessments into urban planning is recommended to better manage water infiltration, reduce flood risks, and strengthen the resilience of drainage systems to changing climate patterns.

Analysis of appeals of the population of the Nizhny Novgorod region to the territorial health management authority during the COVID-19 pandemic

Introduction. Appeals of the population are important indicators of the realization of patient rights. Therefore, the Ministry of Health of the Nizhny Novgorod region pays great attention to the analysis of their causes. The purpose of this study was to study the impact of the COVID-19 pandemic on the number and reasons for written appeals from the population to the territorial health authority of the Nizhny Novgorod region regarding the medical care provided. The materials were 37,898 citizens’ appeals over 2019–2021. Results. The number of written appeals in 2109 was 4916, in 2020 — 14832, in 2021 — 18150. The share of complaints in the structure of appeals decreased from 10,5 ± 0,4% for 2019 to 6,0 ± 0,2% in 2020 and 4,6 ± 0,2% for 2021. Reasons for writing complaints included the quality of medical care (32,9 ± 2,1% during 2019, 34,2 ± 1,6% during 2020, 22,6 ± 1,4% during 2021); refusal to provide medical care (20,5 ± 1,8% in 2019, up to 15,7% ± 1,2% over 2020 and 11,5 ± 1,1% over 2021); violations of ethics and deontology (18,8 ± 1,7% for 2019, 15,8 ± 1,6% for 2020 and 15,3 ± 1,2% for 2021); problems with access to medical care (12,0 ± 1,4% during 2019, 15,2 ± 1,2% during 2020, 19,2 ± 1,4% duirng 2021 year). Research limitations. Repeated requests were excluded. Conclusion. The example of the Nizhny Novgorod region demonstrates the openness of the Ministry of Health, the formation of feedback channels with patients to help to effectively mobilize resources to promptly address issues of providing medical care to the population in an emergency situation.

Small-grid urban flood prediction model using Twitter data and population GPS data - an example of the 2019 Nagano city flood

In this study, a small-grid urban flood prediction model integrating Twitter data and population GPS data was constructed using the 2019 Nagano City flood as an example, and the validity of these two data for the model was determined. Using natural language processing techniques, Twitter data was filtered to extract real-time information relevant to flooding. At the same time, geographic information processing techniques were applied to analyze the population GPS data and obtain the distribution of the local population. Based on these two types of data, we combined with terrain, land use, traffic and infrastructure data related to flooding, a real-time flood prediction model was constructed using the random forest algorithm with a basic unit of a 70 m × 70 m grid. An analysis of the model accuracy showed that, the model that included both GPS and Twitter data showed an improvement in prediction accuracy of about 8% compared to flood prediction models that do not have these data sources. This indicated that the integrated use of Twitter and GPS data allowed us for a more accurate representation of the dynamic characteristics of flood disasters, thereby improving the performance of real-time flood prediction models and increasing real-time awareness of flood events. This approach provided effective flood monitoring methods for disaster management authorities.

Leveraging public awareness and behavioural change for entrepreneurial waste management

This article takes us into the world of municipal solid waste entrepreneurs, revealing how public awareness campaigns and behavioural change efforts intertwine with entrepreneurial endeavours. Through conversations with 11 key participants—entrepreneurs from four geopolitical zones of Nigeria and a senior management figure from the Lagos State Waste Management Authority—I hear firsthand accounts of the challenges they face and their strategies to transform waste into opportunity. Guided by the theory of planned behaviour, this study sheds light on how these entrepreneurs perceive the role of public awareness in shaping waste management behaviour and driving business innovation. From their stories, a common theme emerges: the need to educate the public about responsible waste practices while developing creative business models that engage communities. Concepts like “freemium-to-premium” offerings are explored as ways to break through psychological barriers and inspire wider participation in waste management initiatives. These voices illustrate how awareness campaigns are not only about fostering environmental responsibility, but also about creating pathways for entrepreneurial growth, ultimately contributing to a more sustainable and circular economy. This study contends that public awareness extends beyond mere knowledge; it acts as a form of infrastructure in its own right. Rather than being just an end goal, awareness becomes a vital foundation in the pursuit of improved waste management practices, serving as a key driver for meaningful environmental action.

Penguatan Kepastian Hukum Kewenangan Kejaksaan Sebagai Penyidik dalam Tindak Pidana Korupsi Sidang Perkara Nomor 28/Puu-Xxi/2023

Corruption cases in Indonesia still really need attention considering that the consequences can be detrimental to the state and society. Handling the eradication of corruption is then carried out by several state institutions which are given direct authority by law, one of which is through the Prosecutor's Office of the Republic of Indonesia. Legal certainty of authority is very necessary to create harmony between government institutions and avoid overlapping authority. Furthermore, in writing this article, we used an approach method, namely an empirical method with descriptive analytical research specifications. The formulation of the problem raised in this article is regarding legal certainty in strengthening the prosecutor's office as an investigator in criminal acts of corruption. Furthermore, the purpose of this article is to analyze legal certainty or the legal standing of the authority of the prosecutor's office as an investigator in criminal acts of corruption. The authority of the Prosecutor's Office is contained in Article 30 paragraph (1) letter d of Law 5 of 1991 concerning the Prosecutor's Office of the Republic of Indonesia which was later declared invalid by Law 16 of 2004 in conjunction with Law Number 11 of 2021 concerning Amendments to Law Number 16 of 2004 concerning the Prosecutor's Office of the Republic of Indonesia. Then in Article 26 of Law no. 19 of 2019 Second amendment to UU No. 31 of 1999 concerning Corruption Crimes.

Oligarchy of Power in The Management of C-Mine Resources in Noemuti, North Central Timor Regency

This paper raises the dynamics of oligarchic power relations in the management of C-quarry mining resources in the form of stone in Noemuti District, North Central Timor Regency. This research uses the oligarchy theory of Jeffrey Winters as a basis for analysis in looking at mining problems that seem to be deadlocked when dealing with power authorities in resource management in the regions. The practice of oligarchy in Winters' theory uses 5 main approaches. But in this paper, it only limits to two approaches, namely the concentration of wealth and the concentration of power. Facing the dynamics of oligarchy that strengthens in local resource governance, on the other hand, presents resistance from civil society to take part in the legitimacy of power in the context of equitable distribution of resource management policies. The practice of community resistance is based on Sidney Tarrow's theory of collective challenge, common goals, solidarity and collective identity and maintaining the politics of resistance.

Community perspectives on existence of human wildlife conflicts and underlying mitigation measures adjacent to protected areas in Northern Tanzania

Wildlife conservation has the potential to make significant contributions to community development. Despite this potential, the sector faces various challenges, including human-wildlife conflicts (HWC). Communities adjacent to the Ngorongoro, Tarangire, and Manyara protected areas (NTMPAs) are known to experience HWC; however, studies on HWC management strategies concerning the demographic characteristics of these communities are scarce. This study utilized questionnaires and focus group discussions to assess this information within the study area. The findings from this study revealed that respondents over the age of 30 significantly (x2(112) = 78.857, p < 0.000) reported the existence of problem animals causing conflicts in their villages. Additionally, respondents engaged in agriculture-related activities demonstrated significant (x2(4) = 23.501, p < 0.0001) concern about problem animals and conflicts compared to other groups. Conflict mitigation measure used, varied significantly (Cochran's Q Test (6) = 138.539, p = 0.001 and n = 120) across the study area. Respondents reported that different mitigation measures varied significantly across occupation and education levels. The study suggests that while efforts to engage younger individuals in formal and conservation education are important, similar initiatives should also target older individuals, particularly those involved in agriculture, whether as landowners or casual laborers. Wildlife management authorities should prioritize efforts to intensify community awareness, focusing on conservation education, the establishment of buffer zones, and the promotion of alternative crops. These initiatives aim to foster positive attitudes toward wildlife conservation. Ultimately, such efforts will help transform community attitudes and increase tolerance for wildlife, facilitating coexistence and enhancing sustainability in wildlife conservation and community development in areas adjacent to protected areas, including the NTMPAs.

Impact of AI on public health emergency communication in Europe and Central Asia: A Delphi study

Abstract Background Artificial Intelligence (AI) holds the potential to fundamentally transform public health communication - presenting promising opportunities alongside profound challenges and risks. This two-wave Delphi study therefore invited practitioners and scholars to assess the potential impact of AI on the risk communication, community engagement, and infodemic management (RCCE-IM) of public health authorities in European and Central Asian countries. Methods In two successive online surveys, 54 experts - both RCCE-IM practitioners and scholars with expertise in (digital) health communication, risk communication, and AI - from 28 countries provided their assessment of the following analytical dimensions: (1) opportunities, challenges, and risks of AI, (2) conditions for the responsible use of AI, (3) potential future scenarios, and (4) prioritized actions. The first Delphi wave followed an open and exploratory approach, while the second wave sought to prioritize and rank key findings from the previous round. The survey instruments included open-ended and closed-ended questions that were analyzed through statistical analysis, inductive and deductive coding. Results Results showed that AI holds various opportunities for the RCCE-IM of public health communicators. Challenges and risks, such as algorithmic bias or concerns about inclusivity, equally affect RCCE-IM efforts. Experts identified seven principles for the responsible use of AI (e.g., fair, human-centered) and predicted optimistic (e.g., optimized workflows) and pessimistic (e.g., flood of (mis)information) scenarios for the future impact of AI. Prioritized actions range from regulation, resource allocation, and feedback to capacity building, public trust, and education. Conclusions To responsibly navigate the opportunities, challenges, and risks of AI for public health emergency communication, clear guiding principles, ongoing critical evaluation, and multi-sectoral collaboration are needed. Key messages • AI is likely to transform public health emergency communication. • A set of agreed-upon principles will support public health authorities in the responsible management of the opportunities, challenges, and risks of AI.

Circular Economy: Municipal Solid Waste and Landfilling Analyses in Slovakia

The pursuit of shifting Slovakia towards a circular economy is met with a multitude of obstacles, including the pervasive consumerist mindset among Slovakians. This mindset favors packaged food, leading to its improper disposal in municipal waste instead of being recycled. Furthermore, the inclination towards landfills poses a significant challenge in the management of municipal solid waste (MSW). To address this issue, a quantitative analysis was conducted using developed and validated models, incorporating various factors related to MSW management in Slovakia. Our study confirmed the significance of parameters such as MSW management costs and population size in the amount of MSW generated. Furthermore, our findings include a short-term forecast for MSW generation in Slovakia for the next two years. These results, based on quantitative data, provide valuable insights for policymakers and waste management authorities in Slovakia, emphasizing the urgent need for a transition towards a more sustainable and circular economy.

Prediction of municipal waste generation using multi-expression programming for circular economy: a data-driven approach.

The existing surge in municipal waste generation (MWG), characterized by swiftly changing and uncontrollable factors, poses a significant challenge to sustainable development. This prompted the need for improved predictive models to guide strategic waste management within the circular economy framework. This study aims to develop a predictive model using multi-expression programming (MEP) to assess MWG. The model was developed using historical data on socioeconomic and environmental factors and validated via comparative analyses with artificial neural network (ANN), random forest (RF), and multiple linear regression (MLR) using various evaluation metrics. The parametric and sensitivity analyses of the MEP model were also conducted. The MEP, ANN, RF, and MLR models have a coefficient of determination (R2) (for testing datasets) of 0.977, 0.974, 0.957, and 0.964, respectively. The MEP model is superior in terms of accuracy and performance for the prediction of MWG when compared to the other three models. The sensitivity analysis revealed the relative importance of each input variable in the established MEP model. The novelty of this research lies in the application of MEP to predict MWG and the formulation of a new mathematical model that links socioeconomic and environmental factors with MWG. The model can be used by waste management authorities to optimize waste collection, transportation, and disposal infrastructure for an effective circular economy and sustainable development. This model also aids in the development of effective waste management policies.

Managing Climate Change at the UNESCO World Heritage Site of Butrint, Albania

Abstract The UN’s panel on climate change identified the UNESCO World Heritage Site of Butrint, Albania, as vulnerable to sea-level changes in the coming decades. This article summarises the site’s history and environment before considering new institutional developments to manage Butrint as a major tourist destination. It also considers the challenges posed by the prospect of subsidence caused by tectonic events and climate change. The article considers appropriate mitigation strategies made possible by the Albanian government’s policy of instituting a new management authority at Butrint.

Seven Decades of Surface Temperature Changes in Central European Lakes: What Is Next?

Lakes are vital components of the hydrosphere, holding both environmental and economic significance. In recent times, they have undergone transformations in one of their key characteristics—water temperature. Assessing the scale and pace of these changes depends on the length and accuracy of the available data. This study focuses on the two lakes in Poland (Białe Augustowskie and Studzieniczne) with the longest continuous water temperature records, ranging from 1954 to 2023. The results reveal a relatively stable thermal regime until the late 1980s (with changes that were statistically insignificant) and a significant shift over the past three decades, during which the water temperature increased at a rate of 0.5 °C per decade. Importantly, simulations indicate further warming of the water by the end of the 21st century. Depending on the chosen climate change scenario, the warming of both lakes is expected to continue, with the Shared Socioeconomic Pathways (SSP585) scenario projecting a steady increase of 0.5 °C per decade. Given the fundamental importance of water temperature in determining factors such as water quality, these future changes present a significant challenge for water management authorities in terms of maintaining and managing these ecosystems.

Health System Resilience and Sustainability in India - Odisha's Strategies on Human Resources Management during COVID-19

Background: COVID-19 pandemic caused widespread loss of life, economic downturns, emotional distress and overwhelmed the public health delivery systems across the globe. Odisha was one of the few states in India that deployed proactive management of human resources in health (HRH) to fight the menace. This paper analyzes key decisions related to HRH during COVID-19. The findings aim to strengthen HRH practices to address future pandemics. Materials and Methods: We analyzed the structures, functions, and processes related to HRH management during the COVID-19, using a qualitative lens. Through purposive sampling, in-depth interviews were conducted with 20 key informants, including policymakers and state-level managers. Data were analyzed thematically to reflect upon the perspectives of key stakeholders, identify barriers and enablers, and document the decision-making dynamics. Results: Odisha strengthened its hospital infrastructure and capacity of health workforce through additional deployment and skill upgradation in a short period. Restriction of movements and strengthening the health system pillars led to considerable success. As COVID-19 cases surged in mid-2020, focus shifted to clinical treatment, active case finding and surveillance. Specific training modules were developed with guidance from the Ministry of Health, WHO, and UNICEF. A whole range of human resources were trained by both online and offline modes. Community-level training programs focused on enforcing COVID-appropriate behavior and management of vulnerable population. Infusion of technology enhanced the system’s capacity to deliver high quality training in a short period of time to a vast majority of stakeholders. Conclusion: The Odisha State Disaster Management Authority (OSDMA) and the National Health Mission (NHM) played critical roles in enhancing systems’ preparedness and institutionalizing such large-scale capacity building initiatives during periods of crisis. The state's approach in terms of scale, skill, and speed of human resources management could be a model for addressing future health crises.

Kernel Density Estimation for the Interpretation of Seismic Big Data in Tectonics Using QGIS: The Türkiye–Syria Earthquakes (2023)

Numerous studies have utilized remote sensing techniques to analyze seismic data in active areas. Point density techniques, widely used in remote sensing, examine the spatial distribution of point clouds related to specific variables. Applying these techniques to complex tectonic settings, such as the East Anatolian Fault Zone, helps identify major active fractures using both surface and deep information. This study employed kernel density estimation (KDE) to compare two distinct point-cloud populations from the seismic event along the Türkiye–Syria border on 6 February 2023, providing insights into the main active orientations supporting the Global Tectonics framework. This study considered two populations of seismic foci point clouds containing over 40,000 events, recorded by the Turkish Disaster and Emergency Management Authority (AFAD) and Kandilli Observatory and Earthquake Research Institute (KOERI). These populations were divided into two datasets: crude and relocated-filtered. Kernel density analysis demonstrated that both datasets yielded similar geological interpretations. The high-density cores of both datasets perfectly matched, exhibiting identical structures consistent with geological knowledge. Areas with a minimal concentration of earthquakes at depth were also identified, separating different crustal strength levels.

Where is democracy nestled? Reflections on organizational degeneration based on an artists’ cooperative

PurposeThis article presents a compelling case study of a workers’ cooperative in the cultural sector. It offers a unique opportunity to delve into the tensions between managerial and democratic control, particularly in the context of heightened artistic claims. The pivotal role of an accountant in management for nearly two decades sparks a thought-provoking question about the potential for cooperative degeneration.Design/methodology/approachOur research employs a rigorous qualitative method, utilizing semi-structured interviews of six key members and a comprehensive analysis of legal, accounting and other media documents.FindingsOur findings offer a significant perspective, refuting any indications of organizational degeneration. The decision-making processes continue to uphold democratic principles. While the manager and his administrative staff wield substantial authority, this is justified by their duty to preserve the collective. This duty is executed under democratic control, facilitated by information transparency. The low level of democratic participation poses a challenge, but the manager’s initiatives are aimed at addressing this. The effectiveness of this control, however, relies on the active participation of the members, which acts as a strong deterrent against organizational degeneration.Originality/valueThe originality of our contribution lies in our reference to Chester Barnard whose reflections on industrial democracy have been forgotten, reflections linked to his conception of managerial authority. We also highlight the importance of empowering individual members, which leads them to consider the consequences of their actions. As a result, the manager is not placed in a situation where he has to decide alone, as the scope of his unilateral powers is de facto delimited.

The Role of Environmental Audits in Enhancing Sustainability in Industrial Property Management. Insights From Nairobi County

Nairobi, the capital city of Kenya, is experiencing significant environmental challenges, with pollution levels reaching unprecedented heights. This issue is particularly evident in the Nairobi River Basin, which comprises the Nairobi, Ngong, and Mathare Rivers. The basin is a focal point of concern due to the widespread discharge of untreated industrial waste into its waters. The city's high population density, coupled with the concentration of industries, exacerbates the environmental impact, making Nairobi the most affected region in the country in terms of pollution. Among the various sources, industrial pollution emerges as a major contributor, prompting the National Environmental Management Authority (NEMA) to intervene and hold accountable the industries responsible for these environmental violations. This study set out to analyze the role of environmental audits in the management of industrial properties, focusing on a case study of industrial properties in Nairobi. The research targeted three key industrial areas: Nairobi Industrial Area, Baba Ndogo, and the industries along Nairobi-Mombasa Road. The study's target population consisted of 487 respondents, comprising 440 property managers and 47 NEMA County directors. Using Yamane’s 1967 formula, the sample size was determined to be 211 respondents. The study employed a simple random sampling method for data collection, utilizing questionnaires and interviews to gather information. Data analysis was conducted using descriptive statistics with SPSS version 24, and interpretation was guided by a theoretical framework and previous research. The study found that environmental audits significantly enhance industrial performance by improving organizational effectiveness, ensuring regulatory compliance, and boosting competitive advantage. They also raise awareness of environmental impacts, enhance corporate reputation, and provide valuable data for investors. However, challenges such as corruption, regulatory bias, and high audit costs persist. The research underscores the importance of environmental management and recommends that property managers strategically implement audit systems to support sustainable industrial growth and regulatory compliance