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In China, the decline of industrial communities suffering from both the aging of physical space and the breakdown of social relations. How to make marginalized and closed industrial communities actively integrate into the development of urban renewal has gradually become an issue of concern. The paper takes the "Jingzhou New Town Industrial Park Urban Design Project" as an opportunity to explore a transformation path suitable for China's national conditions through the study of the history, culture, current problems, and renewal strategies of this heritage-type industrial community. The study finally proposes three renewal strategies for industrial communities, which provide samples with certain reference value for the renewal of old industrial communities. [ABSTRACT FROM AUTHOR]

The compositional diversity of vitrified silicate ceramics has been quantified through multivariate statistical analysis and by means of specific chemical parameters of bodies. Distinct compositional spaces can be drawn for porcelains, porcelain stoneware, red stoneware, and silicate glass-ceramics. Porcelain and vitreous china bodies are strongly peraluminous with commonly a potassic character. A sharp boundary at ∼79 % alumosity separates them from porcelain stoneware bodies, which are peraluminous with a predominantly sodic character. The comparison of glazed versus unglazed porcelain stoneware revealed essential differences in iron content, but a deeper analysis is needed at the manufacturing district scale. Glass-ceramic bodies are peralkaline and low in silica. Red stoneware is characterized by Fe 2 O 3 content about 3–9 wt% and variable Na/K and alkali-to-alkali-earths ratios. The compositional gap between red stoneware and porcelain stoneware bodies (1.5 % < Fe 2 O 3 < 3 %), still unexploited by industry, is crucial to enable many resource efficiency and waste recycling actions. The formulation of waste-based silicate ceramics usually implies a shift of the chemical composition towards higher Fe 2 O 3 /Al 2 O 3 ratio and lower alkali-to-alkali earth ratio. This can lead to batches that fall outside the compositional space of porcelain or porcelain stoneware, opening to technological behaviour and technical performance that require further research. [ABSTRACT FROM AUTHOR]

The issue of combined sewer overflow (CSO) triggered by rainfall has become a significant obstacle to the improvement of water environment quality. This study conducted a long-term monitoring of three types of rainwater outlets, i.e., combined sewer overflows (Test-CSO), separated sewer outlets (Test-SSO), and partially separated sewer outlets (Test-PSSO), to reveal the characteristics of overflow pollution and trace its sources by monitoring the pollutants from different underlying surfaces across various urban functional areas. The results showed that the major pollutants in overflow events exhibited the following order: COD ≥ TSS > TN > TAN > TP. Rainwater elevated COD and TSS in the Test-CSO, while reducing nitrogen and phosphorus concentrations by dilution. The Test-PSSO experienced varying degrees of overflow pollution, primarily due to the sewer sediment. A negative relationship between the rainfall and peak time of overflow pollution was observed. The traceability analysis indicated the overall pollution intensity exhibited the following order: residential areas > industrial parks > commercial areas. In addition to commercial areas, the pollution intensity across underlying surfaces generally exhibited the following order: roofs > roads > grasslands. The roof runoff was an important source of pollutants for overflow pollution, and TSS and COD were the major contributors. Notably, grasslands had a buffering effect on pollutants and pH. [ABSTRACT FROM AUTHOR]

In high-density cities around the world, the contradiction of sustaining development and limited resources has become more evident. Transforming historic industrial buildings, through both functional and spatial adjustments, has emerged as a key strategy to manage these challenges effectively. There is a significant demand for the quick regeneration of industrial heritage districts, resulting in the emergence of various implementation modes (IMs). While the Sustainable Development Goals (SDGs) have gained widespread acceptance, the integration of sustainability principles into urban regeneration practices has strengthened globally. However, in many regions, approaches to achieving sustainable regeneration are still unclear, with a lack of evaluation and adjustment of sustainability performance (SP). This paper combines qualitative analysis and a quantitative assessment of indicators to compare three representative case studies with different IMs. It explores whether there is a connection between the chosen IM and SP, examines the mechanisms of impact, and discusses how to select the most suitable IM for industrial heritage regeneration. The study confirms the practicality of an SP evaluation system and identifies key factors within IMs that affect SP. Future research is expected to produce tools that support the promotion of sustainability in industrial heritage regeneration efforts. [ABSTRACT FROM AUTHOR]

The aim of this work was to classify the business incubators in Spain according to the four phases of the startup's incubation process. Considering that the graduation rate implies greater survival and business success of the incubated companies, they have been identified at each stage of the incubation (spread of entrepreneurship, pre-incubation, advanced incubation, and graduation). The activities that present higher impacts on the success of the incubated companies and the activities carried out by the business incubator that have a greater relevance on the graduation of the companies have concretely been considered. Principal component (PC) cluster analysis has been applied. All the incubation variables were used simultaneously, reducing their number and grouping them into factors. Finally, the cases were grouped according to these latent variables. Principal component analysis reduced dimensionality to eight factors with a 74% explained variance. Factor 1 was positively related to pre-incubation variables; factor 2 was linked to training and collaboration variables within the entrepreneurship diffusion phase. Factor 3, named activity monitoring and control, was related to phase 3, or basic incubation variables. Cluster analysis facilitates the grouping of business incubators into three clusters: Group 1 (16% of the total), incubators with strong deficits in incubation phases 1, 2, and 3. They are small-sized business incubators, often located in rural areas or cities, with a low graduation rate. Group 2 (30%), business incubators with a very high graduation rate and strongly positive values in factors 1 and 2. Factor 3, although positive, is susceptible to improvement. They are the largest group of business incubators and usually located in industrial and technological parks. Group 3 (54%) is the majority, with values close to clusters 2 and 3. [ABSTRACT FROM AUTHOR]

There is an increasing rate of urbanization across the world with various emerging opportunities and challenges that need effective management systems for achieving the basic objectives of sustainable urban transition. Likewise, the practices of urbanization in Ethiopia need to be effectively managed to minimize the multiple relevant socioeconomic and environmental challenges. The country has been undertaking industrial park development over the past decade as a key policy tool for promoting sustainable industrialization. However, there is a huge research gap regarding the contribution of industrial park development in the effort to achieve sustainable urban transition within the specific context of the country. Hence, the present study intends to scrutinize the existing challenges and role of industrial parks in managing them by considering the purposively selected parks with respective cities in the study area. The study applied exploratory mixed methods of data collection and analysis. Accordingly, it came up with the major findings on the current environmental, economic, social, and governance challenges impeding sustainable urban transition in Adama and Hawassa cities; and the significant contributions of the resident industrial parks in minimizing the challenges. Using the discussed and interpreted facts that have been derived from the findings, the authors suggest pertinent strategic measures that need to be emphasized to enhance the potential contribution of industrial park development in fostering the country's urban transition within the notion of sustainability while minimizing the challenges. [ABSTRACT FROM AUTHOR]

Industrial Parks (IPs) in Africa, especially Ethiopia's Hawassa Industrial Park (HIP), are seen as vital for boosting exports, creating jobs, and enhancing skills. However, the global pandemic's disruptions to production and employment prompt a reevaluation of this view. Drawing upon extensive ethnographic research conducted at Ethiopia's flagship state-owned IP, the HIP, we delve into the multidimensional crises faced by the country's industry during the pandemic. We identify various methods employed by the Ethiopian government to persuade workers into accepting disproportionately low wages, with the aim of retaining foreign investors and stabilizing the national economy. Our analysis reveals the reinforcement of precarious livelihoods among HIP workers, characterized by heightened vulnerability and job insecurity due to the pandemic-induced disruptions. Contrary to the state's depiction of HIP as an emblem of industrial progress, workers at HIP champion narratives and strategies to assert their rights and improve working conditions. This research underscores the importance of reimagining Africa's industrialization strategy, emphasizing the well-being of its labor force in a post-pandemic world. Article Highlights: The study findings showed that IP workers experienced increased vulnerability and job insecurity due to disruptions caused by the pandemic. In the study, we strongly argue that contrary to the state's depiction of the IPs as an emblem of its developmentalist orientation, workers at HIP struggle for their rights and improved working conditions. The finding underscores the rise of vulnerable livelihoods, a changing landscape of challenges, and the quest for new perspectives on Africa's future progress. [ABSTRACT FROM AUTHOR]

This study firstly summarizes the linkage paths between China-Korea (Yantai) Industrial Park and the Free Trade Zone, and secondly applies the system dynamics (SD) approach to model the park's case enterprise for in the park to analyzing the changes in economic benefits before and after the implementation of the linkage policy. For a single policy, the results show that "tax subsidy in the FTZ" under the Trade & Investment path has the most significant positive effect, while "industrial park incentive subsidy" has a negative impact on the enterprise. For the combined policy, the combination of the "tax subsidy in the FTZ" Combined with "The strength of the industrial park on the return process supervision" under the linkage path in Trade & Investment is the most obvious. [ABSTRACT FROM AUTHOR]

This study focuses on the adaptive reuse and placemaking of the Viaduc des Arts, an obsolete viaduct in Paris, and examines its impact on the city's economic, urban, cultural, and sustainable identities. It aims to showcase unconventional solutions applied to create an elevated linear park and a coherent commercial identity under the vaults while enhancing the district's imageability and attractiveness. Employing a mixed-methods approach, this study analyzes various action modes in architectural and urban regeneration, highlighting ten valuable lessons learned from the Viaduc des Arts rehabilitation. These lessons provide crucial insights into effective urban regeneration and placemaking strategies, emphasizing the need to update objectives and employ appropriate methodologies for future projects. The Viaduc des Arts serves as a paradigmatic case study, demonstrating the successful transformation of an obsolete viaduct into a commercial, vibrant cultural, and urban space, underscoring the importance of updating urban regeneration objectives. [ABSTRACT FROM AUTHOR]

As a novel industrial space to cope with global competition, industrial parks have gradually become important growth poles to promote regional development and provide a large number of employment opportunities. This study utilizes mobile phone signaling data to identify the commuting origins and destinations (OD) of different industrial parks in Nanjing while comparing the distribution of the working population, residential population, and commuting patterns across varying types and levels of industrial parks. The level of coordination of the employment–residential system in each park is quantified by calculating the resident commuting index (HSCi), employee commuting index (WSCi), and their coupling coordination degree. Additionally, geographic detectors are employed to identify the influencing factors and interaction effects that impact the employment–residential balance in industrial parks. Results show that industrial parks located in the central urban area attract more residential and working populations. The commuting volume of national and municipal as well as high-tech industrial parks is higher than other types of industrial parks. Most industrial parks experience more inward than outward commuting, and there is an uneven distribution of commuting flows, resulting in a network-like pattern of "central dense, peripheral sparse". Various industrial parks exhibit a highly coupled job–housing system, and those with high HSCi tend to have high WSCi as well. The coupling coordination of industrial parks ranged from 0.16 to 0.93, with 13 being primary coordination or above and 3 being disordered. Industrial parks are classified into three types: employment-oriented, residential-oriented, and employment–residential balanced, with the residential-oriented type being predominant. The density of public transportation stops, park area, and land use mix are the primary factors affecting the employment–residential balance. Industrial parks with larger scale, better land allocation, and higher service facility levels are more likely to achieve coordination in the employment–residential system. Our work utilizes mobile signaling data to characterize the commuting patterns of industrial parks, providing insights for industrial park planning and promoting the integration of industry and city. [ABSTRACT FROM AUTHOR]

Taking Xining City as an example, this article analyzes the mechanism by which industrial park construction drives the expansion of urban population size and built-up area, based on a review of the process of industrial park development and urban population growth. It also discusses future urban governance models in light of urban development trends. The research finds: (1) In the process of urban development, industrial park construction is often the initial factor in the cumulative and cyclical development of a city; (2) As the level of development improves and the mode of economic growth changes, the government should timely adjust its strategies, shifting from the expansion of industrial park construction towards structural optimization and quality improvement. The most significant difference from previous research is that this paper emphasizes the importance of government planning. This study can not only demonstrate the general process of industrial parks promoting urban expansion, but more importantly, it explains the fundamental reasons for the transition of urban expansion to adjustment from a mechanism perspective, thereby eliminating the drawbacks of simply predicting urban scale evolution through data models. [ABSTRACT FROM AUTHOR]

China's coal-based energy structure and its large proportion of the manufacturing industry have resulted in China having the highest CO2 emissions in the world, accounting for about one-third of the world's total emissions. Achieving the carbon peak by 2030 and carbon neutrality by 2060, while maintaining economic development, presents a significant challenge. Industrial parks, as core units of industrial clusters, are major sites for energy consumption and CO2 emissions. Thus, industry parks with great carbon reduction potential are crucial for China's carbon reduction efforts. This review systematically examines the current state of the carbon emissions of industrial parks in China and analyzes the situation and challenges faced in the low-carbon transition of these parks. Then, the major pathways, technologies, and key policies for the low-carbon transition are summarized based on the current situation. This paper assists in the low-carbon development of industrial parks and promotes the proposal and implementation of carbon emission reduction strategies. [ABSTRACT FROM AUTHOR]

In this work, the performance of an empirical coagulation-flocculation plant to treat wastewater from a metal-mechanic industry located in an industrial park of Queretaro city, México, is studied. Wastewater samples were obtained from the homogenization tank and treated with the employed industrial reactants through an experimental jar test to obtain statistical data. Then, a response surface methodology with ANOVA analysis was used to model the process, and the ε-constraints methodology was used to optimize the coagulation-flocculation process in terms of economic and environmental impact. The results showed an improvement of phosphates removal, but a minimal increment of 1.01% of operational costs regarding to the current operating conditions. Additionally, the results offered a certain reference value for practical application of the coagulation-flocculation process using calcium hydroxide, aluminum salts, and polyacrylamide/urea for the main removal of phosphates in real effluents. [ABSTRACT FROM AUTHOR]

The article discusses the ongoing debate surrounding clusters and industrial districts in the context of the digital and green transitions. It explores the impact of Industry 4.0, artificial intelligence, and sustainability on these localities, regions, and nations. The text highlights the importance of embracing new technologies and sustainable practices to remain competitive and resilient in a rapidly evolving landscape. Various case studies and theoretical perspectives are presented to shed light on how clusters and industrial districts can navigate and adapt to these changes while uncovering opportunities in emerging areas. [Extracted from the article]

Purpose: This paper aims to analyse how local agri-food systems (LAFS), compared to other production models, can offer innovative responses to the important environmental challenges facing food production under the twin transition. These responses are more conducive to community inclusion and local development. Design/methodology/approach: The paper combines territorial development, clusters and industrial districts literature with studies on agri-food industry environmental problems and twin transition technologies to develop an agri-food systems typology. This typology is based on a territorial approach to environmental challenges of food production and serves to illustrate the ways in which LAFS can provide innovative responses to these challenges. Findings: The study allows to visualise the differences between LAFS and other agri-food production models, showing how the operationalisation and implementation of digitisation occur at territorial level and how rural communities are involved in the process. The theoretical proposal emphasises not assuming that technology is inherently beneficial but ensuring that its implementation is inclusive and generates social value for the communities. Originality/value: The paper aims to enrich future research by adopting a territorial perspective to study the twin transition challenges associated with food production systems. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this study is to shed light on the twin transition in China in the organization of innovation processes in artificial intelligence (AI) and green technology (GT) development and to understand the role of foreign multinationals in Chinese innovation systems. Design/methodology/approach: A qualitative research approach is used by interviewing executives from German multinationals with expertise in AI and GT development and organization of innovation processes in China. In total, 11 semi-structured interviews were conducted with companies, and the data were analysed with a thematic qualitative text analysis. Findings: The findings show that AI applications for GT are primarily developed in cross-company projects that are led by local and regional authorities through the organization of industrial districts and clusters. German multinationals are either being integrated, remaining autonomous or being excluded from these twin transition innovation processes. Originality/value: This paper aims to fill the gap in the literature by providing one of the first qualitative approach towards twin transition innovation processes in China and exploring the integration of multinational enterprises in cluster organizations. To the best of the author's knowledge, this is one of the first twin transition studies from this perspective in emerging economies. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this paper is to analyze the twin transition of textile firms operating in an industrial district. The twin transition comprises two interconnected but distinct processes: the sustainable transition and the digital transition. The study specifically considers sustainability goals in terms of the triple bottom line and digitalization as the adoption of Industry 4.0 (I4.0) technologies. The study aims to understand how the characteristics of Italian districts influence the choices related to the twin transition and how it affects textile industrial firms. Design/methodology/approach: The author conducts a multiple-case study involving five firms of industrial textile district of Prato. Findings: The results show the relationship between the characteristics of the district, such as fragmentation of the supply chain, lean manufacturing, territorial proximity and attachment to origins and traditions and the sustainable goals and I4.0 technologies adoption. Moreover, the study proposes a framework for twin transition. Market and technology drive the process in which sustainability represents the aim, I4.0 serves as enablers and the relevant outcome is the implementation of the business model innovation. Practical implications: These findings offer valuable insights for textile firms, policymakers and stakeholders seeking to navigate the complexities of twin transition. Originality/value: The study contributes to the broader topic of twin transition. In particular, it links the particular context represented by the industrial district in which the textile firms operate to their conduct, and the two interconnected and distinct processes, sustainable transition and digital transition, with the business model innovation topic. [ABSTRACT FROM AUTHOR]

Purpose: Through participant observation, this paper aims to show how the existing ecosystem has helped to attract new companies that are integrating and enriching this ecosystem, while helping to decarbonize the region's industry. Design/methodology/approach: In France, industrial and carbon-intensive regions are currently facing the challenges of environmental, energy and digital transition. Against a backdrop of reindustrialization, and to meet the objectives set by the French climate and resilience law, these regions are seeking both to support the existing ecosystem in meeting these new challenges and to diversify their economic fabric by welcoming greener industries. Findings: In Normandy, in the Caux Seine agglo area, new projects linked to bioplastics have led the region to reflect on the creation and structuring of a greener industrial district bringing together manufacturers, a research cluster and a training center. Originality/value: The authors are studying an industrial region in Normandy that is considered to be a pilot area, experimenting with new directions in terms of low-carbon industry. Based on the petrochemical industry, this little-studied area wants the industrial zone to become a genuine green energy hub. Strong political will and substantial private and public investment have enabled the emergence of a new green chemistry industry. [ABSTRACT FROM AUTHOR]

The imperative to harmonize economic growth with environmental preservation has catalyzed transformations in strategic management in current global landscape. The "Port-Park-City" (PPC) model, epitomized by the success of China Merchants Group Port (CMPort), offers a compelling case of how strategic sustainability revolutionizes international business. This research probes the innovative PPC model, initially thriving within China, to assess its adaptability to international investments. Through a meticulous analysis of two pivotal investment cases—the China Belarus Industrial Park (GSIP) and the Djibouti Port Industrial Park— we investigate the replicability of the PPC model and its capacity to confer a sustainable competitive edge. Adopting a "coupling effect" perspective, we scrutinize commonalities in PPC model implementation in these cases. This research address the pressing demand for global enterprises to adapt to evolving paradigms of strategic management. Our findings underscore the PPC model's potential not only in bolstering business success but also in advancing global sustainability, fostering competitive advantage, and catalyzing business model innovation. This encapsulates the essence of sustainable strategic management. [ABSTRACT FROM AUTHOR]

Systematic management of corporate safety risks in industrial parks has become a hot topic. And risk prevention and control mutual aid is a brand-new model in the risk and emergency management of the park. In the context of blockchain, how to incentivize enterprises to actively invest in safety risk prevention and control mutual aid has become a series of key issues facing government regulators. This paper innovatively combines Prospect Theory, Mental Accounting, and Evolutionary Game Theory to create a hypothetical model of limited rationality for the behavior of key stakeholders (core enterprises, supporting enterprises, and government regulatory departments) in mutual aid for safety risk prevention and control. Under the static prize punishment mechanism and dynamic punishment mechanism, the evolutionary stabilization strategy of stakeholders was analyzed, and numerical simulation analysis was performed through examples. The results show: (1) Mutual aid for risk prevention and control among park enterprises is influenced by various factors, including external and subjective elements, and evolves through complex evolutionary paths (e.g., reference points, value perception). (2) Government departments are increasingly implementing dynamic reward and punishment measures to address the shortcomings of static mechanisms. Government departments should dynamically adjust reward and punishment strategies, determine clearly the highest standards for rewards and punishments, and the combination of various incentives and penalties can significantly improve the effectiveness of investment decisions in mutual aid for safety risk prevention and control. (3) Continuously optimizing the design of reward and punishment mechanisms, integrating blockchain technology with management strategies to motivate enterprise participation, and leveraging participant feedback are strategies and recommendations that provide new insights for promoting active enterprise investment in mutual aid for safety risk prevention and control. The marginal contribution of this paper is to reveal the evolutionary pattern of mutual safety risk prevention and control behaviors of enterprises in chemical parks in the context of blockchain. [ABSTRACT FROM AUTHOR]

The development of high-tech firms is a vital driver for the economic growth of a city but their distribution and location determinants at the intra-urban level are still unclear. We aim to deepen the understanding of location determinants of high-tech firms, so we construct an analytical framework and use GeoDetector to investigate high-tech firms in Shenzhen based on firms and POI open data in 2023. We find that high-tech firms are distributed in a spatial pattern of 'one core and six clusters' with high density in the western area despite industrial heterogeneity. Agglomeration economies and amenity-based factors play a significant role in the distribution of high-tech firms. Institutional factors and classical locational factors have more significant effects on the location of high-tech service and manufacturing firms, respectively. This study contributes to the literature on study spatial units, the influence of amenities, and industrial specificities. These findings highlight public policies on industrial park planning, transportation systems, and public services. [ABSTRACT FROM AUTHOR]

Copyright of South Architecture / Nanfang Jianzhu is the property of South Architecture Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Investigaciones Regionales is the property of Asociacion Espanola de Ciencia Regional and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Investigaciones Regionales is the property of Asociacion Espanola de Ciencia Regional and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Investigaciones Regionales is the property of Asociacion Espanola de Ciencia Regional and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Investigaciones Regionales is the property of Asociacion Espanola de Ciencia Regional and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Investigaciones Regionales is the property of Asociacion Espanola de Ciencia Regional and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Investigaciones Regionales is the property of Asociacion Espanola de Ciencia Regional and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Investigaciones Regionales is the property of Asociacion Espanola de Ciencia Regional and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The study addressed the mechanism of state regulation of the production, resource and export potential of the Kyrgyz Republic. The study aimed to improve the system of state regulation of the agricultural sector to increase national food security. The analysis revealed a steady increase in production of the main types of agricultural products over the period 2014-2024: cereals by 11.6%, potatoes by 12.5%, vegetables by 18.2%, meat by 24.5% and milk by 17.1%. However, the study also showed uneven levels of self-sufficiency across different types of products: the high levels of self-sufficiency in potatoes (167.4%), vegetables (164.5%) and milk (116.5%) contrast with the low levels of self-sufficiency in fruit and berries (18.2%), vegetable oil (44%) and sugar (69%). An analysis of the existing state regulatory mechanisms revealed a comprehensive legal framework, including the Law of the Kyrgyz Republic No. 320 “On Food Security” and the “Food Security and Nutrition Programme for 2019-2023”, but their implementation is limited by insufficient funding and administrative barriers. Based on the analysis, recommendations were developed to optimise the state regulatory mechanism, including the introduction of a differentiated subsidy system, optimisation of the structure of exports and imports of agricultural products, increasing the efficiency of agricultural production, development of agricultural processing and improving the food quality control system. Proposed measures include the creation of the brand “Ecologically clean products of Kyrgyzstan”, the introduction of the Global G.A.P. certification system, the creation of a network of regional agricultural-consulting centres, the development of agro-industrial parks and the modernisation of quality control laboratories. The implementation of these measures aims to overcome the identified problems create more favourable conditions for the development of agriculture and ensure food security in the Kyrgyz Republic. [ABSTRACT FROM AUTHOR]

This paper intends to provide key insights to the manufacturing industrial park designers for selecting the typical days of electric load and planning the resources for energy-producing infrastructure. First, a hybrid time-series model of energy-consuming equipment based on the autoregressive integral moving average model (ARIMA) and temporal convolutional network (TCN) is generated. According to this model, the energy consumption (EC) curve of large equipment in the industrial park can be depicted. Moreover, the present study designed a TLSM-IPML (typical load stratification method for industrial parks with manufacturing load) algorithm based on the typical day-selected method. The data clustering method is utilized to analyze the energy usage characteristics. Furthermore, an energy usage-based planning model is proposed, network constraints are considered, and a multi-optional method is designed to solve the problem. Finally, case studies validate the superior performance of TLSM-IPML in analyzing the characteristics of energy consumption and planning the model in reducing MES (manufacturing industrial factory integrated energy system) economic costs. [ABSTRACT FROM AUTHOR]

Effective nitrogen removal from anaerobic co-digestion is a major challenge to achieving dual-carbon goals. This study explored the acclimatization process of a lab-scale two-stage partial nitritation and anammox process of a stepwise increase in the percentage of raw anaerobic co-digestion liquor from kitchen waste, human feces, and municipal sludge in a venous industrial park in China, which has not been reported yet. Under limited dissolved oxygen (below 0.5 mg/L) and high ammonia levels (200–1500 mg/L), based on adjusting aeration rates, partial nitritation rapidly started up in 50 days. After acclimatization, partial nitritation still performed efficiently and stably, with the final total nitrogen loading rate (TNLR) of 1.24 ± 0.09 gN/L/d, nitrite accumulation rate of 99 ± 4%, and ratio of eff. nitrite/ammonia of 1.32 ± 0.13. In the anammox process, the final total nitrogen removal efficiency, total nitrogen removal rate, and TNLR reached 94 ± 5%, 1.27 ± 0.03 gN/L/d, and 1.36 ± 0.05 gN/L/d, respectively. Chemical oxygen demand (COD) was also reduced in both reactors, with COD removal rates of 0.7 gCOD/L/d in the partial nitritation and 0.4 gCOD/L/d in the anammox process. Overall, the PNA system demonstrated its feasibility in adapting to high ammonia, salinity, and iron levels, when treating anaerobic co-digestion liquor, particularly regarding resource recovery in venous industrial parks. [ABSTRACT FROM AUTHOR]

Strengthening industrial pollution control in the Yangtze River is a fundamental national policy of China. There is a lack of detailed distribution of chemical industrial parks (CIPs). This Study utilized random forest (RF) and active learning to generate the distribution map of CIPs along the Yangtze River at 10-m resolution. Based on Sentinel-2 imagery, spectral and texture features are extracted. Combined with the Points of Interest (POI), a multidimensional feature space is constructed. By employing partitioned training, classification of CIPs map is achieved on Google Earth Engine (GEE). Technical validation along the entire Yangtze River demonstrates a model accuracy of 80%. Compared to traditional manual survey methods, this approach saves significant time and economic costs while also being timelier. As the first publicly available CIPs map within a 5-km range along the Yangtze River, this research will provide a scientific basis for the fine governance of chemical industries in the region. Additionally, it offers a model guide for the accurate identification of the chemical industry. [ABSTRACT FROM AUTHOR]

Copyright of Environmental & Social Management Journal / Revista de Gestão Social e Ambiental is the property of Environmental & Social Management Journal and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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Contaminated air quality, in lieu of massive industrial pollution, is severely attributing to health anomalies in the proximity of industrial units. Cardiovascular Disease (CAD) is rising around industrial units in the planned capital city of Pakistan, Pakistan. To study self-reported CAD in the proximity of Industrial Estate Islamabad (IEI) by equating two distinct study groups as 'Band-I': the residence 0–650 meters and 'Band-II' 650–1300 meters radius around the perimeter of IEI. The perimeters were digitized using Google Earth and GIS. Field survey was conducted on deploying 388 (194 in each Band) close-ended (self-administered) questionnaires at the household level, after adjusting the potential confounding variables. The research calculated odds ratios (ORs) of the CAD at 95% CI. The study's findings of the multiple logistic regression for ORs confirmed a significant increase in CAD problems due to industrial affluents in Band-I than in Band-II which were less severe and less life-threatening. Study confirmed high incidences of high blood pressure and breathing issues (up to 67%), due to accumulation of unhealthy affluents thus leading to heart stroke (Band I = 56.20% and Band II = 60.30%). It is aided by smoking that has increased CAD in Band-I. Societal attributes of knowledge, beliefs, attitudes, and preferences fail to safeguard the local residents amid high concentration of harmful pollutants. As a counter measure the affected respondents engaged in highlighting the issue to the concerned public offices, yet there is a high need on part of the capital government to take mitigative measures to immediately halt the disastrous industrial air emissions to save precious lives. [ABSTRACT FROM AUTHOR]

Safety is one of the goals of a smart city. To study storage tank explosion damage in a city's chemical industrial parks, determine the position of control measures according to the situation, and realize the analysis of the measured utility, we proposed the area damage probability importance distribution. In this way, the prediction and prevention of risk in chemical industrial parks can be achieved intelligently. The concept of area damage probability importance distribution was given, and the utility analysis method of the control measures for storage tank explosion accidents was put forward. It is concluded that the area damage probability importance distribution represents the change degree of damage probability: that is, the damage degree of storage tank explosion in a chemical industrial park. The control measures for a storage tank explosion can be set up in varying positions, as the explosion damage is mainly caused by shock waves; the blast walls are selected as the measure set, and the calculation method for the area damage probability is modified. By comparing the calculated area damage probability distribution before and after, evaluation of the control measures' effectiveness can be achieved. Finally, the flow chart of the algorithm is given. The example analysis shows that the calculation process and analysis results meet the design requirements of the algorithm. The effectiveness of the method, the distribution characteristics, and the significance and function of the importance distribution of damage probability are discussed. This provides an effective method for smart cities to predict and prevent the impact of an explosion at chemical industrial parks. [ABSTRACT FROM AUTHOR]

Aims Industrial estates are essential for the economic advancement of a nation and should be examined from multiple angles. While the geographical environment of these estates has been extensively studied from multiple perspectives, their internal features have received comparatively less scrutiny. Hence, the objective of this paper is to ascertain the spatial preferences within the internal organization of industrial estates in Alborz Province by employing the Analytical Hierarchy Process (AHP) methodology. Methodology This study was conducted in 2023 with a focus on practical applications. The study strategy was established by utilizing the Analytical Hierarchy strategy (AHP) and Multi-Criteria Decision Making (MCDM) techniques to identify and prioritize variables. After conducting a literature review, 14 primary variables were selected using the Delphi technique. The SANNA system was then used to assess the priority of these variables in the geographical structure of the “Simin Dasht” and “Baharstan” industrial estates. The study methodology involved extracting spatial data using the space syntax method and giving it priority. Findings The road network is the most important environmental factor in determining the spatial organization of industrial estates. Following the road network, the priority of other criteria, in descending order, includes visual connection, grain size, architectural quality, building density, external connection, climate, topography, infrastructure, and greenery. Furthermore, the current spatial arrangement of industrial estates in Alborz Province excels in terms of “visual connectivity” and “road infrastructure,” but falls short in terms of “architectural excellence” and “green spaces”. Conclusion The spatial design of the area is primarily influenced by three key factors: accessibility and connection, physical structure, and geomorphology. Out all the sub-variables, visual connection, road network, and grain size are the most important. [ABSTRACT FROM AUTHOR]

Since the launch of TROPOMI on the Sentinel-5 Precursor (S5P) satellite, NO 2 observations have become available with a resolution of 3.5× 5 km, which makes monitoring NO x emissions possible at the scale of city districts and industrial facilities. For Europe, emissions are reported on an annual basis for country totals and large industrial facilities and made publicly available via the European Environment Agency (EEA). Satellite observations can provide independent and more timely information on NO x emissions. A new version of the inversion algorithm DECSO (Daily Emissions Constrained by Satellite Observations) has been developed for deriving emissions for Europe on a daily basis, averaged to monthly mean maps. The estimated precision of these monthly emissions is about 25 % for individual grid cells. These satellite-derived emissions from DECSO have been compared to the officially reported European emissions and spatial–temporal disaggregated emission inventories. The country total DECSO NO x emissions are close to the reported emissions and the emissions compiled by the Copernicus Atmosphere Monitoring Service (CAMS). Comparison of the spatially distributed NO x emissions of DECSO and CAMS showed that the satellite-derived emissions are often higher in cities, while they are similar for large power plants and slightly lower in rural areas. [ABSTRACT FROM AUTHOR]

This article aims to examine the realization of the Global Maritime Fulcrum (GMF) and its repercussion on 'free and active foreign policy' in Indonesia, in the context of the country's need for infrastructure investment and rising tensions due to China's economic dominance through the Belt and Road Initiative (BRI). To achieve GMF's five main pillars, primarily maritime connectivity, the Indonesian government has received a large amount of loans from Asia Infrastructure Investment Bank (AIIB) and allowed Chinese direct investment (CDI), including infrastructure investment such as Industrial Parks. However, there are concerns that this could endanger one of Indonesia's fundamental foreign policies, which has been 'free and active' since its independence. The research concludes that between 2014 and 2019, increased Chinese direct investment in Indonesia contributed to GMF, mainly through infrastructure investments and maritime connectivity, yet to employ GMF without violating free and active foreign policy, Joko Widodo's approach was conducted through middle power strategy Keywords: Free and Active Foreign Policy, Global Maritime Fulcrum, Chinese Direct Investment, Introduction The period between the declaration of independence of Indonesia on August 17, 1945, and the transfer of sovereignty from the Netherlands on December 27, 1949, is considered to be [...]

During the period from the 19th to the mid-20th centuries, colonial Singapore played a central role as an Asian trading hub. From 1965, the Republic of Singapore, as a sovereign nation, attempted to uphold its former colonial position of dominance. The efforts undertaken by the Singaporean elites proved to be highly effective, surpassing even the ideological conflict of the 1960s. This resulted in communist nations like the Soviet Union, China, North Vietnam, and North Korea expressing a desire to establish commercial trade relations with Singapore. In the 1950s and 1960s, North Korea stood out as an Asian nation that had achieved notable industrial advancements. North Korean leaders sought to utilize Singapore as a platform for disseminating its industrial products and economic achievements. The efforts made by North Korean communist leaders can be analyzed through various activities carried out between Singapore and North Korea. In the case of Singapore, its leaders aspired to broaden its trading horizons by establishing connections with socialist nations and adopting the insights gained from North Korean industrialization. Through primary sources of Singapore news articles, North Korean news articles, South Korean diplomatic archives, and CIA archives, this paper focuses on the mutual interactions of Singapore, the trading hub, and North Korea, the industrial estate. [ABSTRACT FROM AUTHOR]