Industry Cluster Research Articles

Molecular Dynamics Investigation of Giant Clustering in Small-Molecule Solutions: The Case of Aqueous PEHA.

The importance of the formation of giant clusters in solution, in nature and industry, is increasingly recognized. However, relatively little attention has been paid to the formation of giant clusters in solutions of small, relatively soluble but nonamphiphilic molecules. In this work, we present a general methodology based on molecular dynamics that can be used to investigate such systems. As a case study, we focus on the formation of apparently stable clusters of pentaethylenehexamine (PEHA) in water. These clusters have been used as templates for the construction of bioinspired silica nanoparticles. To better understand clustering in this system, we study the effect of PEHA protonation state (neutral, +1, and +2) and counterion type (chloride or acetate) on PEHA clustering in dilute aqueous solutions (200 and 400 mM) using large-scale classical molecular dynamics. We find that large stable clusters are formed by singly charged PEHA with chloride or acetate as the counterion, although it is not clear for the case with acetate whether bulk phase separation, that might lead to precipitation, would eventually occur. Large clusters also appear to be stable for doubly charged PEHA with acetate, the less soluble counterion. We attribute this behavior to a form of complex coacervation, observed here for relatively small and highly soluble molecules (PEHA + counterion) rather than the large polyions usually found to form such coacervates. We discuss whether this behavior might also be described by an effective SALR (short-range attraction, long-range repulsion) interaction. This work might help future studies of additives for the design of novel bioinspired templated nanomaterials and of giant clustering in small-molecule solutions more generally.

Integrated database for economic complexity

We present an integrated database suitable for the investigation of the economic development of countries by using the Economic Fitness and Complexity framework. Firstly, we implement machine learning techniques to reconstruct the export flow of services and we combine them to the export flow of the physical goods, generating a complete view of the international market, denoted the Integrated database. Successively, we support the technical quality of the database by computing the main metrics of the Economic Fitness and Complexity framework: (i) we build a statistically validated network of economic activities, where preferred paths of development and clusters of High-Tech industries naturally emerge; (ii) we evaluate the Economic Fitness, an algorithmic assessment of the competitiveness of countries, removing the unexpected misbehaviour of economies under-represented by the sole consideration of the export of the physical goods.

AN ANALYSIS ON THE EVOLUTIONARY CHARACTERISTICS OF INDUSTRIAL DNA FROM SMART CITY PERSPECTIVES IN SOUTH KOREA

Abstract. This study aims to analyse the evolutionary characteristics of industrial DNA from a smart city perspective. Evolutionary characteristics are the structure of industrial DNA and the relationship between industries DNA cluster. The analysis results are as follows. Firstly, the structure of the smart city industry DNA has changed. The structure of the smart city industry DNA cluster investigated in 2000 as the fusion of knowledge service and IT service with traditional service industries such as public, wholesale and retail services. On the other hand, in 2019, the structure of the smart city industry DNA showed as a fusion of ITM and traditional manufacturing such as transportation equipment, machinery, and construction. This result means that the industrial structure has changed from an industrial structure for informatization of knowledge and administration to an industrial structure for smartisation of manufacturing. Second, the relationship between the smart city industrial DNA cluster and other industrial DNA clusters changed from independent to dependent. This means a change in the location of the smart city industry DNA cluster. The smart city industry DNA cluster showed an independent relationship with the traditional industry DNA cluster in 2000. On the other hand, the relationship between the smart city industry DNA cluster and the entire industry cluster was investigated as a dependent relationship in 2019. This result means that the smart city industry DNA cluster is not easy to grow independently.

Analysis on industry cluster for regional development in a haor region of Bangladesh: A location quotient analysis

Analysis on industry cluster for regional development in a haor region of Bangladesh: A location quotient analysis

Production of creative spaces

As an emerging global city, Shanghai has experienced significant growth in its creative economy over the past two decades. By reconstructing a large number of old constructions into creative industry clusters, Shanghai has attracted a significant number of creative talents from across the globe. Informed by the theoretical discourse on the social network- based understanding of the production of creative spaces, this paper engages in a semi-structured interview analysis to shed light on the formation mechanism of place-anchored networks in Shanghai’s design industries. Creative spaces for the design industry in Shanghai are largely concentrated in inner-city areas and consist of six functional types: design enterprises or studios, arts and creative parks, educational institutions, exhibition centres, social networking spaces, and cultural and business areas. These multi-layered creative spaces are formed through intensive social interactions, knowledge spillovers, and functional complementation among creative designers and institutions. Finally, the implications of place-anchored networks for creative industries are discussed within the context of the planning and design of creative cities.

Evolution of innovation networks in industrial clusters and multidimensional proximity: A case of Chinese cultural clusters

The innovation and optimization of cultural industry clusters is important to the promotion of economic structural transformation and high-quality development. Taking 31 provinces (municipalities directly under the Central Government and autonomous regions in China) as the research object, the cross-sectional data included the number of joint patent applications for culture and related industries among provinces (regions) in 2014, 2016, 2018 and 2020. Then, the cluster innovation network was constructed using social network analysis (SNA) based on scientific identification of cultural industry clusters. This new cluster innovation network structure and its spatial evolution characteristics are accessible with the help of UCINet and ArcGIS tools. Finally, the multiple regression-quadratic assignment procedure (MR-QAP) method is used to determine the influence of geographical proximity, technological proximity, and social proximity on the evolution pattern of the cultural industry cluster innovation network. The results of the study are important for improving the efficiency of national cultural industry innovation and promoting regional synergistic development.

Impact of aerosols and reactive trace gases concentrations in India

The current scenario united the elite professionals, researchers and scientists throughout the globe to accelerate the sharing of scientific findings making the future brighter on mother Earth. The concentration of reactive trace gases in the atmosphere modulates the human health appreciably. This study presents the changes of aerosol and reactive gases load in the atmosphere from the recent past with the help of CAMS data in Indian domain. Reactive trace gases and aerosols (NO2, O3, SO2, CO & AOD) are now being recognised as having both positive and negative radiative forcing effects. The effects of changes have been studied and found that the concentration of chemically reactive gases and aerosols load drop down from their 17 years long period average (LPA) appreciably (60-70 %) over IGP and 35-40 % in other parts of India except O3 (Increase 20-30 %) in India during the month of April-2020.
 It is observed that the results are agrees quite well with the actual recorded data of CPCB stations located at 12 different places of India. The difference observed between actual observations and CAMS reanalysis during April -2019 & 2020 show that aerosol load in terms of PM-2.5 & PM-10 is appreciably drop down (60-70 %) over IGP and 25-30 % in other parts of India. The concentration of other reactive gases (NO2, SO2 &CO) also drops down about 32 %, 7 %, 17 % over IGP and 16 %, 8 %, 9 % in other parts of India respectively. The concentration of Ozone shows slightly positive behaviour over IGP and negative at other parts of India. 
 Few pockets of Central and South of India show higher concentration may due to ongoing essential activities of cluster of industries or delayed slowdown. The other reason may be the influx of moisture due to the pre-monsoon thunder storm activity during this period. Vertical air flow Omega (positive) at 850 hPa NCEP/NCAR reanalysis also support the confinement of gases at lower levels. This study is further brought out a message for future that we should use the natural resources judiciously as their long term consumption can cause severe health problems and a psychological burden or stress globally during this COVID-19 spread period.

Legal Aspect on Indonesia Military-Industrial Complex to Strengthening Defence Industry Research and Clasterization in Building Independent Defence Industry in Indonesia

Indonesia's bitter experience of the embargo became a hard slap and a reminder of the importance of the National Defense Industry in meeting the needs of the TNI's defense equipment and encouraging the quality of the TNI's performance in carrying out the territorial defense of the Republic of Indonesia. Over time the development of the National Defense Industry continues to grow and is supported by regulations at the level of the Law, namely Law no. 16 of 2012 concerning the Defense Industry in realizing the Independence of the National Defense Industry. However, over time the implementation of Law no. 16 of 2012 does not work properly, challenges and problems arise, there are two problems in the National Defense Industry, namely Research and Development (R&D) and Defense Clustering. In this paper, a deeper review of the complex defense industry uses the research method, namely normative juridical research with two approaches including the statute approach and the conceptual approach. The results of the research in this paper carry the Core Indonesia Military-Industrial Complex which supports the strengthening of Research by initiating the Concept of Feedback and Clustering of the Defense Industry by forming 7 Defense Industry Clusters which include Raw Material Industry, Production Industry, Assembly Industry, Production, Support Industry (Components, Spare Parts), Electronic Industry, Maintenance.

A cluster analysis of the global wind power industry: Insights for renewable energy business stakeholders and environmental policy decision makers

AbstractIn light of an ongoing climate change and an increasing fragility of fossil energy supply due to global political tensions, the adoption of renewable energy sources is of utmost importance for economic and social prosperity. This study targets to endeavor major value chain configurations within the global wind power industry network based on a data set of 326 relationships established by the 10 globally leading wind turbine firms covering a time span of 15 years. We discuss the demand side and provide an overview of the main wind power investment target countries and compare the importance of different regions. On the supply side, we analyze and identify eight important firm clusters within the global wind power business network. Concerning our sample, we elaborate horizontal and vertical relationship links, their collaboration patterns, regional partner preferences, and their value chain competences, thus providing valuable insights into the competitive structures of the wind power industry. By doing so, we open the debate on appropriate and efficient firm strategies within renewable industries. As consequence, we provide robust empirical evidence on global wind power industry architectures and corresponding competitive firm forces for the future. As we found that the industry is currently divided into eight main global industry clusters, our study delivers valuable industry network insights addressing managerial, political, and socioeconomic decision makers in order to secure future ecological and economic prosperity in a challenging world.

Regional ecological risk assessment of chemical industry stress under China's coastal development strategy

Governments and scholars are taking a closer look at risk assessment of areas developing chemical industries because of the repeated occurrence of chemical explosion accidents along coastal regions. The paper constructs an indicator system for Jiangsu Province based on three dimensions: risk source strength, receptor vulnerability, and risk prevention capability. It comprehensively evaluates the risks under stress from the chemical industry since the implementation of the coastland development strategy. The results show that a first rise in and then a decline in comprehensive risk along the coast of Jiangsu Province could be observed from 2007 to 2017. As a whole, the risk of contamination was dispersed, while locally, it accumulated and gradually shifted to areas along the river and adjacent coastal areas. High-risk areas are mainly distributed in chemical industry clusters. Risk sources continue to intensify with the increase in heavy chemical industry clusters. Generally, receptor vulnerability was high in the west, low in the east, high in the north and south, and low in the middle. The Tongyu River, Sheyang River, coastal wetlands, and canals in Nantong are among the most vulnerable areas. There is still a weak overall situation, with a pattern of ‘high-low-high’ staggered distribution from south to north, even though the risk prevention capacity is growing steadily.

Inclusive Development of Kuzbass: Assessment Experience

The article is devoted to the problem of assessing the inclusive development of the economy of the Kemerovo Region—Kuzbass, the only coal mining region in Russia where it forms up to a third of the GRP and about 40 % of the income of the consolidated budget of the region. Numerous representatives of various scientific schools have been tracking the trends in the socio-economic development of this territory for 70 years and trying to assess its prospects. In recent years, an inclusive approach to assessing the effectiveness of the development of subjects of the Russian Federation has become increasingly widespread in local science. However, we are not aware of works that would give quantitative estimates of the inclusive development of Kuzbass not only as a particular region of Russia, but also as the only coal industry cluster. This article attempts to quantify the level of inclusive development of Kuzbass during the period 2005–2020. To do this, the authors took the WEF methodology as a basis and adapted the Inclusive Development Index indicators to calculate the regional inclusiveness index using publicly available statistical indicators. The results of the calculations show: in 2005–2020 neither the growth of industrial production, including the growth of coal mining, nor the stimulation of housing construction or projects in the field of scientific and technological development have led to an increase in the index of inclusive development in the Kemerovo region. At the same time, it has been proven that the inclusiveness index in Kuzbass is significantly lower than similar indicators for the development of neighboring regions of Siberia, including those with a similar economic structure. This may serve as a sign of the inefficiency of the current model and the tools used for the development of Kuzbass. The lack of inclusive growth of the Kuzbass economy over the past fifteen years, proved by the authors, casts doubt on the possibility of implementing accelerated growth programs in the Kemerovo region and making breakthroughs in inclusive development in the horizon of at least 10–15 years. The authors argue that there is only one way to resolve this problematic situation – the socio-economic transformation of Kuzbass based on the principles of inclusiveness.

An Evolutionary Adaptive System for Prediction of Strategy Influence: A Case Study of Government Regulation Guided Brand Innovation

Decision making is one of the common human activities. But in complex, interactive, and dynamic systems, it is extremely important to make decisions scientifically because the influence of the behavior after decision making is generally irreversible. The predictability of behavior influence is an effective way to improve the scientific decision making. As a new branch of computing, computational experiment is an emerging management method for research on complex systems. In this paper, based on particle swarm intelligence, an evolutionary adaptive system model of brand innovation in the toy industry cluster is constructed. By imitating the evolution process of the complex adaptive system, this method is helpful to analyze the impact of the management behavior brought to simulation system, predict the management behavior in real world, and finally choose the best management strategy. This simulation tried to figure out the affection of government regulation strategies and provide corresponding assessments and recommendations, which gives a new solution to assist the government to effectively judge the influence of the macro policy, as well as provides a new way of thinking of the related intelligent decision making.

Missing Policy for Supporting Cultural Heritage Preservation of Batik Industry Clusters in Barlingmascakeb Region, Indonesia

The emergence of ‘new’ batik industry clusters in the Java mainland in the early 2000s has raised inquiries towards the interplay between indigenous business formation and government intervention. Following the historical trajectories, the batik industry has performed an intergenerational family business model by forwarding long-standing local genius in local development. However, top-down government intervention has also taken a key role in driving the local batik industry. Batik industry clusters in Barlingmascakeb Region may perform differently. This study focuses on scrutinizing how their persistence may contribute to local development where either the tradition root or policy support is missing. A mixed-method approach with sequential strategy was used by conducting case study analysis of the key informants and statistical analysis on the development of batik industry clusters in situ. The results show that their persistence is mostly encouraged by opportunistic trading businesses with little multiplier effects to local development. The local government policy merely serves a program matching instead of promoting the so-called cultural heritage preservation. As a result, the localized cultural identity brought by the batik industry clusters is unrecognizable and leaving profit-taking of the batik trading at the place.

Techno-Economic Analysis and Feasibility of Industrial-Scale Activated Carbon Production from Agricultural Pea Waste Using Microwave-Assisted Pyrolysis: A Circular Economy Approach

This paper examines a novel approach to activated carbon (AC) production that uses pea waste (PW) and to what extent it is economically competitive with current production methods. Additionally, the outcome is to provide a detailed economic analysis to understand whether this process is viable. The focus of this production route and the economic analysis will be on a United Kingdom (UK) basis. The plant will be located within the north UK to minimise storage and transportation costs. It also has extensive links to other clusters of nearby industries that would produce from this process in air pollution control or wastewater treatments. The overall production process is detailed, and detailed equipment specifications, including the sizing of equipment and utility requirements, were also given. Material balance calculations are carried out to assess the performance and improve process design. An economic analysis is performed to study the potential of biomass-to-AC conversion costs and commercialisation viability. The project’s investment is about £100 million. The cost of the plant can be recovered from year 3 (mid) for the 20-year life of the plant. The Net Present Value (NPV) is based on cumulative cash flow. The NPV is calculated as GBP 4,476,137,297.79 for 2020, and the associated internal rate of return (IRR) and the return on investment (ROI) for the project are 55% and 52%, respectively.

The relationship between a ‘polluter pays’ approach to carbon capture, regional policy and ‘just transition’ employment agendas

ABSTRACT Policy makers in a number of nations are currently developing carbon capture and storage (CCS) as an industrial decarbonisation solution, linking capture potential in industry clusters to domestic or overseas offshore storage capacity. However, the design, focus and timeframe for policy support are proving challenging in countries like the UK, where industry actors are concerned about the competitiveness implications of additional operational capital costs, while government aims to offer only transitory policy support. Policy-facing research is required to understand the drivers, nature and extent of potential competitiveness loss from adopting carbon capture in specific industry and country contexts, along with the impacts of policy decisions in other countries and of possible future technology improvements. We consider the case of the UK chemicals industry, using an economy-wide computable general equilibrium (CGE) model. This highlights how macroeconomic and sectoral impacts of concern under regional, industry and climate policy agendas depend on domestic and export demand responses to changing industry prices. A crucial question is whether capture costs are similarly reflected in international prices. We identify a risk of policy commitment to ‘polluter pays’ having sustained negative outcomes for capture firms, along with offshoring/leakage of jobs and GDP, and associated emissions, as demand shifts to lower cost overseas production. However, such costs could be reduced, and some capture industry gains realised, if competitors in other nations ultimately follow in bearing similar costs and particularly if ‘early mover’ action enables firms to make efficiency gains and build comparative advantage in operational carbon capture. Key policy insights A ‘polluter pays’ approach to industrial carbon capture risks triggering potential ‘offshoring’ of manufacturing activity in all timeframes where increased operational costs reduce the relative competitiveness of capture firms. A border tax risks worse industry and wider economy outcomes, where domestic production is intensive in imports of the commodity in question. Transitory policy support should focus on enabling capture firms to build efficiency in using carbon capture equipment while sustaining competitiveness and jobs within regional industry clusters. Opportunities should be explored to develop comparative advantage where policy activity involves ‘early mover’ action on carbon capture.

The Impact of Air Cargo on Regional Economic Development: Evidence from Chinese Cities

This study explored the impact of the air cargo industry on the regional economy by regressing panel data for 91 prefecture-level cities in China from 2006 to 2019. By using the total employment and the employment of the 19 sub-industries as indicators of regional economic development, results show that only the growth of employment in the manufacturing sector is significantly and positively associated with the growth of air cargo volume. This study then explores the heterogeneity of the impact of air cargo on manufacturing employment in different types of cities by using a dummy variable interaction term and finds that in terms of the elasticity of growth of air cargo on manufacturing employment, southwest, and northwest regions are significantly higher than other regions, inland cities are significantly higher than coastal port cities, and major gateway cities are significantly lower than non-major gateway cities. Our research shows that air cargo development can lead to manufacturing industry clustering, while air cargo infrastructure development is more important for the economic development of inland regions and secondary gateway cities.

Everywhere the same? Competitiveness of two regional vegetable production clusters in Southern Germany

German vegetable production is characterized by its pronounced variety of cultivated vegetable crops. There are also large differences among distinct production regions in terms of climate conditions, farm structures and marketing infrastructure. Two of the most important vegetable production regions in Southern Germany are the so-called ‘Knoblauchsland’ (Garlic Country) in Middle Franconia and the open-field production region in Lower Bavaria. Although these two vegetable production regions are geographically not far apart, they show distinct differences in size of the region, their historical development, and different scope of production. This paper analyzes the competitiveness of the two vegetable production regions following Porter’s definition of industry clusters and his Diamond model. Applying this approach, competitiveness is specified by four bundles of determinants, namely factor conditions, local demand conditions, available supporting industries, and type of rivalry and strategies. The cluster concept emphasizes the importance of the interplay of the different determinant bundles and, in addition to the existing networks and competitiveness, it also helps identify possible options for improvements of the framework conditions. Thus, practical implications have been derived on how cluster stakeholders can mitigate weaknesses such as unfavorable conditions, and further combine their strengths to increase competitiveness in the long term.

Evolutionary Game Analysis on Impacts of Organization Distance on Open Innovation Mode Selection of High-Tech Industrial Clusters

Based on the evolutionary game theory, this study aimed to explore the decision-making behavior of the enterprise when it adopted the open innovation model from the perspective of organizational distance. The evolutionary game theory is an important method to study the enterprise’ decision-making under bounded rationality. It applies to describe the trend of decision-making based on the enterprises’ open innovation choices in industrial clusters. This paper employs open innovation and institutional theory, utilizes industrial clusters as the research object, and measures the geographical proximity of enterprises in high-tech industrial clusters employing organizational distance. Within the analytical framework of the duopoly model, the impact of organizational distance and patent licensing fees on the innovative performance of a high-tech industrial cluster is studied. The findings indicate that the export-oriented open innovation model is more appropriate for the innovation of high-tech industry clusters. There is a significant relationship between organizational distance and the R&D spillovers of businesses. Increased patent fees can encourage industry clusters to adopt an open innovation model with an outward orientation if they are located in close proximity to each other. Further research analyzed the effect of organizational distance on the selection of an open innovation mode employing an evolutionary game model and indicated that geographical proximity would encourage enterprises to adopt open innovation export strategies. The conclusion of this study has both theoretical and practical ramifications for the independent innovation of high-tech industry clusters.

Using waste to supply steam for industry transition: Selection of target industries through economic evaluation and statistical analysis

AbstractGlobal warming mitigation requires worldwide action in a wide range of fields, including waste treatment and management. In Japan, demands to transform waste into energy as a greenhouse gas emissions reduction strategy are increasing. The use of steam generated from waste treatment plants as a source of energy in industries is a promising energy recovery method. In recent years, the feasibility and economic potential of conversion of waste into energy have been evaluated; however, economic efficiency is not always achieved. Therefore, it is necessary to classify steam supply targets based on profitability. Herein, we selected appropriate industries from different types and scales of industries for steam supply based on analyses carried out in Aichi Prefecture. Therefore, industries were classified based on their production shipment value. We also calculated the maximum profit potential from steam supply from waste treatment plants and the steam demand potential of each mesh. We applied data envelopment analysis (DEA) to evaluate energy efficiency and regression analysis to evaluate the potential effects on growth. The appropriate industry was estimated through decision tree analysis based on DEA scores for the mixed industries cluster. We extracted four appropriate industries: pulp, textiles, ceramics, and steel. For each industry, we calculated the number of firms required in the mesh for economic benefit. We also selected industries that could be used to explore the potential of adopting the developed methodology for other regions and industries and for identification of waste treatment plants that could participate in steam supply.

Construction enterprises’ adoption of green development behaviors: an agent-based modeling approach

Many previous studies have used performance evaluation to explore the impact of environmental regulation on the green development of enterprises. However, there are few studies on the process by which enterprises adopt green development behavior. Here, we aim to simulate the whole process by which Chinese construction enterprises adopt green development. We also consider impact of environmental regulation and industry clusters in this process. Using agent-based modeling, we construct a computational experimental simulation model for the adoption of green development behavior by construction enterprises. The model considers the organizational behavior characteristics of construction enterprises and the evolutionary characteristics of the renewable construction materials market. Our results show that in terms of renewable building materials, construction enterprises that actively adopt green development behavior are more sustainable than those that do not. Moreover, with the implementation of sustainable environmental regulations, more enterprises are passively adopting green development behaviors. However, unsustainable environmental regulations do not have a positive effect. The formation of industrial clusters is also conducive to promoting companies’ adoption of green development behaviors. Therefore, construction enterprises should take the initiative to adopt green development behavior and migrate to industrial agglomerations. This practice is not only beneficial to the sustainable operation of the enterprise and the expansion of the enterprise scale, it will also have an optimization effect on the external environment. Here, we take construction enterprises as the breakthrough point and expand research on enterprise green development. We also provide a theoretical basis and insights for enterprises with environmental responsibility to engage in green development behavior.