Industrial Development Research Articles

Research on the Accounting and Spatial Effects of Emergy Ecological Footprint and Industrial Green GDP--The Case of Yangtze River Economic Belt

The booming development of industrial enterprises at the cost of ecological resource consumption has inevitably harmed the ecological environment, especially since the phenomenon of water resource pollution is more serious. Exploring the relationship between the ecological environment and the industrial economy is crucial to the green and sustainable development of the region. This study uses the Spatial Durbin Model (SDM) to investigate the impact of emergy ecological footprint on the industrial green of gross domestic product (GDP) under the perspective of water resources, based on the panel data of 11 provinces in Chinas Yangtze River Economic Belt (YREB) from 2012 to 2021. The results show that first, the overall industrial green GDP of the YREB has increased year by year, and the effect of water resource protection is outstanding. Second, the emergy ecological footprint has a significant positive effect on industrial green GDP, and the spillover effect is also significant. Third, heterogeneity analysis shows that the spatial relationship between emergy ecological footprint and industrial green GDP is different in different regions, and the local effect and neighborhood effect of the high industrial green economic development areas are consistent with those of the YREB, while the relationship between the low industrial green economic development areas is not obvious. This paper is of great significance for the green development of industrial enterprises in the YREB and guides the formulation of sustainable development policies.

The impact and effectiveness of China’s entrepreneurship policy for back-home migrant workers

This study aims to estimate the net effect of China’s entrepreneurship policy on back-home migrant workers since 2015. Using survey data from the provinces of; Zhejiang, Henan, and Guizhou with propensity score matching to control selection bias, the study indicates that the overall entrepreneurship policy has a significant positive impact on the probability of entrepreneurial entry. The poverty alleviation effect of the overall policy is greater than its industrial development effect, while the employment effect is not significant. The infrastructure policy’s effect on employment, industrial development, and poverty alleviation is greater than the other policies, and the financial policy’s effect on these three aspects is not significant. This study contributes to the existing literature by addressing a well-defined gap regarding the net effect of entrepreneurship policy on entrepreneurship entry and provides well-supported and plausible explanations for the inconsistencies among previous studies on policy effect indicators. As a practical contribution, this study provides China and other developing economies with compelling empirical evidence to support the design and amendment of entrepreneurship policy at the national level.

A ternary composite hydrophilic electrospinning membrane containing Au for fast oil–water separation and antibiotics degradation

AbstractWater pollution from industrial wastewater and oil spills, which threat marine lives and mankind continually have turned into one of the most severe challenges in worldwide due to the fast development of global industrialization and human activities. Various water‐treatment methods have been developed to solve the problems. However, these processes are often complicated and costly, making them fail to address the complicate water environment. Herein, a visible light‐responsive Au‐BiOCl/TiO2/PAN composite membrane with hydrophilic surface was prepared by combing electrospinning with solvothermal method. The composite membranes can efficiently separate emulsions with the highest flux of 50.16 L m−2 h−1 and oil/water mixtures (the highest flux was 4777.07 L m−2 h−1 bar−1). Moreover, the membranes can rapidly degrade antibiotics with an excellent degradation rate (95.70% in 60 min) under the visible light. Additionally, they can simultaneously degrade organic dye and separate oil/water emulsions under a gravity condition. It is expected that composite membranes will be an attractive candidate for complex wastewater treatment.

Creating wildlife habitat using artificial structures: a review of their efficacy and potential use in solar farms.

The biodiversity crisis is exacerbated by a growing human population modifying nearly three-quarters of the Earth's land surface area for anthropogenic uses. Habitat loss and modification represent the largest threat to biodiversity and finding ways to offset species decline has been a significant undertaking for conservation. Landscape planning and conservation strategies can enhance habitat suitability for biodiversity in human-modified landscapes. Artificial habitat structures such as artificial reefs, nest boxes, chainsaw hollows, artificial burrows, and artificial hibernacula have all been successfully implemented to improve species survival in human-modified and fragmented landscapes. As the global shift towards renewable energy sources continues to rise, the development of photovoltaic systems is growing exponentially. Large-scale renewable projects, such as photovoltaic solar farms have large space requirements and thus have the potential to displace local wildlife. We discuss the feasibility of 'conservoltaic systems' - photovoltaic systems that incorporate elements tailored specifically to enhance wildlife habitat suitability and species conservation. Artificial habitat structures can potentially lessen the impacts of industrial development (e.g., photovoltaic solar farms) through strategic landscape planning and an understanding of local biodiversity requirements to facilitate recolonization.

Technological Analysis of the Production of Nickel-Containing Composite Materials

The article presents the results of obtaining a composite material by sintering nickel-containing raw materials mixed with carbon-containing materials, namely using coke and semi-coke. The sintering process was performed at a charge layer height of 240 mm and the temperature of the lower layer was T = 1200 °C. The results of the sieve analysis showed (a fraction of 10 mm) that the yield of a suitable composite material using coke was 68.3% and with semi-coke 67.0%. The average nickel and chromium content in the composite materials was 1.42% and 3.07%, accordingly. As a result of determining the strength characteristics of the obtained composite materials with various reducing agents by dropping from a height of 2 m onto a steel pallet, it was found that the obtained composite materials have high mechanical properties in terms of strength of 81% and 89.2%. The results of the elemental composition at the studied points and the thermal analysis of the studied composite material are presented. The mineralogical composition of the composite material is presented in the form of serpentine and nontronite, and the empty rock is made of quartz and talc. The activation energy of thermal analysis by the method of non-isothermal kinetics were calculated. The results of experiments on the production of composite materials from nickel-containing raw materials will be recommended for obtaining the optimal composition of composite materials at the stage of pilot tests and industrial development of the developed technology for processing nickel ores of the Republic of Kazakhstan. For the processing of nickel-poor nickel ores, it is of great importance to obtain optimal technological and technical and economic indicators that ensure low cost of nickel in the resulting product.

Changes in Rhizosphere Soil Microorganisms and Metabolites during the Cultivation of Fritillaria cirrhosa

Fritillaria cirrhosa is an important cash crop, and its industrial development is being hampered by continuous cropping obstacles, but the composition and changes of rhizosphere soil microorganisms and metabolites in the cultivation process of Fritillaria cirrhosa have not been revealed. We used metagenomics sequencing to analyze the changes of the microbiome in rhizosphere soil during a three-year cultivation process, and combined it with LC-MS/MS to detect the changes of metabolites. Results indicate that during the cultivation of Fritillaria cirrhosa, the composition and structure of the rhizosphere soil microbial community changed significantly, especially regarding the relative abundance of some beneficial bacteria. The abundance of Bradyrhizobium decreased from 7.04% in the first year to about 5% in the second and third years; the relative abundance of Pseudomonas also decreased from 6.20% in the first year to 2.22% in the third year; and the relative abundance of Lysobacter decreased significantly from more than 4% in the first two years of cultivation to 1.01% in the third year of cultivation. However, the relative abundance of some harmful fungi has significantly increased, such as Botrytis, which increased significantly from less than 3% in the first two years to 7.93% in the third year, and Talaromyces fungi, which were almost non-existent in the first two years of cultivation, significantly increased to 3.43% in the third year of cultivation. The composition and structure of Fritillaria cirrhosa rhizosphere metabolites also changed significantly, the most important of which were carbohydrates represented by sucrose (48.00–9.36–10.07%) and some amino acid compounds related to continuous cropping obstacles. Co-occurrence analysis showed that there was a significant correlation between differential microorganisms and differential metabolites, but Procrustes analysis showed that the relationship between bacteria and metabolites was closer than that between fungi and metabolites. In general, in the process of Fritillaria cirrhosa cultivation, the beneficial bacteria in the rhizosphere decreased, the harmful bacteria increased, and the relative abundance of carbohydrate and amino acid compounds related to continuous cropping obstacles changed significantly. There is a significant correlation between microorganisms and metabolites, and the shaping of the Fritillaria cirrhosa rhizosphere’s microecology by bacteria is more relevant.

Big data analysis technology in regional economic market planning and enterprise market value prediction

Abstract Market planning for regional economic development is a crucial task connected to stability and systematicness and influences the unique outcomes of regional economic growth. As a result, market planning for regional economic development must be given more weight. There are several issues with regional economies currently developing in many parts of our country. Lack of focus on market planning for regional economic growth results in several flaws in market planning, making it challenging to support sustainable development. The accurate analysis of diverse massive economic datasets has significant research value. The aim of this study is to provide an overview of market planning and regional economic and industrial development, analyze the effects of market planning on regional economic and industrial development, identify issues with market planning and regional economic and industrial development, and suggest solutions. This article employs big data analysis technology to forecast corporate market value and develop regional economic markets. The system is employed to conduct experimental big data analysis within a specific field for an extended period. According to test analysis results, the system’s data analysis accuracy can reach up to 95.8%, which has a promising future for use.

Strategies of Green Industrial Policy: How States Position Firms in Global Supply Chains

The resurgence of industrial policymaking—particularly for emerging low-carbon industries—challenges social science theories that expect such interventions from centralized states or suggest that different kinds of states specialize in various forms of innovation policy. Interventionist forms of industrial policy have made a comeback among liberal economies. Coordinated economies now make use of market-driven strategies. This paper argues that the new generation of industrial strategies is shaped by the industrial development challenges that policymakers face at the sectoral level. It proposes a new theoretical framework that distinguishes between the policy orientation (targeted or open-ended) and the central agents driving financial and technological decision-making (governments or firms). We show that the choice of strategy is shaped by the level of uncertainty and the position of the domestic industry in global supply chains, that is, whether global supply chains are emerging or mature and whether the domestic industry is an entrant or incumbent.

Drifting towards multidimensional collaborative innovation: the co-evolution of collaboration networks and policy in China’s nuclear power industry

Purpose Nuclear power is a stable and reliable energy source that can improve energy structure while reducing carbon emissions, which is of great significance for environmental protection and combating climate change. As a unique industry, it is facing rare development opportunities in China and has broad market prospects. However, the characteristics of technical difficulty, loose organizational structure and uneven regional distribution limit the expansion of the nuclear power industry. This paper aims to a better understanding of the accumulation process for innovation capability from the perspective of network evolution and provides policy guidance for the market development of the nuclear power industry (NPI). Design/methodology/approach Methodologically, social network analysis is used to explore the co-evolution of multidimensional collaboration networks. First, the development and policy evolution of the NPI is introduced to divide the evolution periods. Then, the authors identify and analyze the core organizations, technologies and regions that promote nuclear power patent collaboration. Furthermore, three levels of collaboration networks based on organizations, technologies and regions are constructed to analyze the coevolution of patent networks in China’s NPI. Findings The results show that nuclear power enterprises always play the foremost role in the organizational collaboration network (OCN), and the dominance of foreign enterprises is replaced by Chinese state-owned enterprises in the third period. The technology hotspot has shifted from nuclear power plant construction to the control system. The regional collaboration network was initially formed in the coastal areas and gradually moved inland, with Guangdong and Beijing becoming the two cores of the network. The scale of three collaboration networks is still expanding but the speed has slowed down. Originality/value In response to the pain points of the NPI, this research focuses on multidimensional collaborative innovation, investigates the dynamic evolution process of collaborative innovation networks in China’s NPI and links policy evolution with network evolution creatively. The ultimate result not only helps nuclear power enterprises integrate innovative resources in complex environments but also promotes industrial upgrading and market development.

A replaceable-component method to construct single-degree-of-freedom multi-mode planar mechanisms with up to eight links

Abstract. The multi-mode planar mechanisms (MMPMs) are excellent-performance reconfigurable mechanisms, which not only inherit structural characteristics of planar mechanisms but also have the multi-task, multi-working-condition application advantages of multi-mode mechanisms. However, lacking common bifurcation analysis and construction methods, their industrial application and development are seriously hindered. This paper presents a replaceable-component method to construct a set of single-degree-of-freedom (single-DOF) MMPMs based on the branch graphs of the corresponding planar mechanisms and the proposed multi-mode modules (MMMs). First, according to the established loop equations, all the kinematic information of the original planar mechanism is obtained by the branch graphs and singularity points using Maple. Then, compared to the relationship between the concepts of the branch and motion mode, the number and continuity of branches are taken as the index to identify the potential bifurcation and mode conversion ability for the corresponding planar mechanisms. Subsequently, the MMM is presented to help the planar mechanisms break the singularity positions to form the corresponding MMPMs, and the steps of constructing single-DOF MMPMs are summarized. Finally, a single-DOF Stephenson six-bar three-mode planar mechanism, a Watt six-bar three-mode planar mechanism, and an eight-bar four-mode planar mechanism are constructed for the first time, and the corresponding multi-mode motion analyses are made. The results can give the available configuration for the design of corresponding MMPMs. The proposed method will provide strong guidance for the configuration design of MMPMs.

Superdurable Full-Life Superhydrophobic Composite Block.

Superhydrophobic materials are attractive for industrial development but plagued by poor mechanical stability. Herein, we have designed and fabricated a superdurable full-life superhydrophobic composite block by embedding near-zero contractive superhydrophobic silica aerogel into a rigid iron-nickel foam structured similarly to a regular dodecahedron. The synergistic protection afforded by these materials ensures superrobust mechanical stability for our composite block, which features a high compressive strength of up to ∼7.4MPa, and ultralow Taber abrasion of down to ∼0.567mm after withstanding 50,000 cycles, and highly efficient water harvesting capability of up to ∼3,114.3mg min-1 cm-2 at a supercooling degree of 40 K. This robust material system provides a novel strategy to design superhydrophobic materials capable of withstanding extreme conditions, including high temperature, humidity, pressure, and abrasion. This article is protected by copyright. All rights reserved.

Concrete touchdown: new technology influences industrial buildings in Norway, 1912–1920

Construction technology developed quickly during the first decades of the twentieth century. This influenced the construction of industrial buildings at the UN Educational, Scientific and Cultural Organization World Heritage site of Rjukan and Notodden in Norway. Behind the construction was Hydro, a company founded in 1905 to produce synthetic nitrogen fertiliser to increase the world’s food production. This industrial development demanded large structures such as hydropower stations and production facilities. Concrete was introduced for the first time during this period, and systems are characterised by heavy concrete bearing walls and mixed bearing walls where concrete and steel were combined. Such systems demanded significant material resources and resulted in the development of steel and concrete skeleton frames. The development of viable systems was achieved through research in materials science and structural engineering, in both the USA and Europe. This paper discusses how concrete influenced construction and building systems at this site. Similarities to industrial buildings and other building typologies are evident and connect the site to the international context of architecture and engineering history. Understanding the characteristics of individual buildings and presenting them in an order of a construction systems will support the work of architects and engineers in future conservation schemes.

The electric vehicle sector in Brazil, India, and South Africa: Are there green windows of opportunity?

Abstract The shift to electric mobility is driving disruptive transformations in the automotive sector worldwide. It poses significant but different opportunities and challenges to incumbents and latecomers at both the firm and country levels. China’s green industrial policy has facilitated its rapid catching up and even leapfrogging in some domains of electromobility. This article asks whether the exploitation of this window of opportunity can be replicated in other latecomer countries. Accordingly, it provides a comparative analysis of the automotive green window of opportunity in Brazil, India, and South Africa, three emerging economies with long established but structurally different automotive industries. To do so, it examines domestic preconditions, policy and enterprise responses, and preliminary industrial development outcomes. Although all the three countries face constraints in replicating China’s relative success, the article shows how green opportunities and threats are unequally divided between the three countries.

Spatiotemporal evolutions and reasons of land-use carbon emissions in counties, Shaanxi Province, China

Global warming caused by factors such as the expansion of construction land poses a major threat to the sustainable development of China. As an important component of China's low-carbon development strategy, there is a relative lack of analysis of the spatial and temporal evolution of land-use carbon emissions and the influencing factors at county-level. In this study, we employed Emission-Factor Approach to estimate carbon emissions from land use in 107 counties, Shaanxi province, China. Our findings revealed construction land were the primary contributors to carbon emissions, showing a substantial increase from 2000 to 2020. There was positive spatial autocorrelation in carbon emissions among counties, forming distinct aggregation patterns around the City of Xi'an and both the southern and northern regions of Shaanxi. By utilizing the Spatial Durbin Error Model (SDEM), demographic factors emerged as key drivers of carbon emissions, indicating the significance of addressing population concentration to curb emissions. Furthermore, promoting coordinated development and adjusting the economic structure in different counties can mitigate both population concentration and carbon emissions. Emphasizing industrial development and investments can also effectively suppress carbon emissions. Additionally, managing transportation-related emissions can be achieved by enhancing public transportation services and regulating private car usage.

Spatio-temporal evolution and influencing factors of the e-sports industry in China

The emergence and development of new industry play a key role in regional development and economic growth. This study explores the e-sports industry evolution, a typical cross-sector new industry, through a theoretical lens of the evolutionary economic geography (EEG) based on Chinese e-sports industry enterprise data between 1998–2018 and examines the influencing factor by multivariate regression. Results show e-sports industry development is a typical evolutionary process that combines spin-off, path creation, spatial evolution, and firms’ network. Furthermore, the e-sports industry is characterized by the integration of the sports and creative industries. However, technology correlated-based knowledge spillover from culture and sports does not significantly impact the e-sports industry, whereas the knowledge spillover from the information software industry promotes e-sports industry development. The regression result also confirms that the institution and culture significantly impact the industrial development. This study enriches the knowledge body of evolutionary economic geography from case studies of the e-sports industry, and also expands the existing study system of emerging industries.

Research on the Impact of ESG Disclosure on Green Bond Issuance in New Energy from the Perspective of Carbon peak

With the goal of carbon peaking, low-carbon green development has become the main theme of economic development. In this context, while pursuing economic benefits, it is also necessary to take into account environmental benefits. Industrial development policies and matching funding strategies related to low-carbon green are called for, and sustainable economic strategies will make the industry move forward steadily. On the basis of foreign scholars' research on green bonds and industrial ESG, this project is based on the new energy industry, organizing and researching the information disclosed by its ESG, exploring in depth the influence of this information on the issuance of green bonds by the new energy industry, and exploring whether there is any positivity in this influence. The ESG information disclosed by the new energy industry can, on the one hand, help investors better understand ESG governance and the green bond market in the new energy industry, and guide them to make rational investments; on the other hand, it can help the government better formulate policies to improve the perfection of the green bond-related standards, including the evaluation system and certification system, as well as the quality of the industry's information disclosure.

Can Green Bonds Boost the Development of Energy Projects in Colombia? An Opportunity for Responsible and Sustainable Investment

The excessive exploitation of natural resources brings with it a growing environmental problem, which is largely due to industrial development. Different international treaties, conventions, and protocols try to mitigate the impacts of global warming. However, new tools are constantly needed to achieve the sustainability of economies and the preservation of renewable resources. In response to this, green bonds arise providing a coherent solution that integrates both the industry and the environment. These bonds constitute a financial instrument allowing the collection of resources, with the only requirement of being invested in sustainable projects generating environmental and social well-being. This paper highlights Colombia's potential as an emerging market attractive for investments classified as green. This Colombian green market is expected to grow, due to the low amounts of GHG emissions compared to the industrialized countries and the richness in natural resources of the nation. However, to develop sustainable energy projects in Colombia, special instruments are required to enhance the promotion and financing of energy projects. For this reason, various financing alternatives to the traditional systems for the development of clean energy must be evaluated. This paper emphasizes the potential of green bonds to improve energy projects in Colombia and obtain additional benefits to reduce climate change through the use of sustainable renewable energies. Through a document review exercise in specialized literature and the application of a case study, the advantage of green bonds over other traditional mechanisms for financing initiatives for small and medium enterprises is demonstrated.

Effective hydrogen supply chain management framework considering nonlinear multi-stage process uncertainties

The large amount of carbon emitted due to industrial development is posing serious climate change. Under these circumstances, hydrogen energy is being used as a major energy source and is attracting attention as an alternative energy to fossil fuels, characterized by high carbon emissions. While the use of hydrogen has the obvious benefit of a low carbon footprint, the hydrogen production process possesses a high carbon footprint difference depending on the source of utilized electricity. This study considers several situations arising in an electrolysis-based hydrogen supply chain network (HSCN). A multi-stage stochastic programming (SP) is modeled to consider the uncertainty of demand and transportation capacity generated in HSCN. Moreover, a typical stochastic model has a chain rule between the decision variables resulting from nonlinearity and uncertainty, and these features make it difficult to derive an effective solution. Thus, in this study, a new methodology, Weighted Scenario Sample Average Approximation (WSSAA), is proposed to derive an effective solution for the multistage SP model considering various scenarios under the hydrogen supply chain. While a general stochastic programming approach fails to generate feasible solutions with volatile HSCN uncertainties, the proposed WSSAA framework provides feasible decisions considering multiple scenarios. The effectiveness of the proposed model applied with WSSAA is demonstrated through comparative experiments over the models used in existing studies.

Social Cohesion of Kampong Lorong Buangkok: Community Amidst Singaporean Industrialization

This paper aims to conduct a comprehensive examination of the Malay community living in Kampong Lorong Buangkok, the last village in Singapore's Hougang area. This community is intriguing due to its preservation of customs, traditions, and a simplified economic system amidst Singapore's rapid industrial development. The study utilizes in-depth interviews with current residents of Kampong Lorong Buangkok and reveals their steadfast commitment to upholding Malay traditions as a social foundation. Residents persist in maintaining a traditional economy designed to promote unity and support productive community life. This economic system functions to enhance social unity, assisting the residents in coping with Singapore's high cost of living. The robust social cohesion within the community has enabled Kampong Lorong Buangkok to persist despite political tensions and the encroaching pressures of rapid Singaporean industrialization that jeopardize the village's survival.

The factors impact on the cashless payment behavior: the IPA model approach

Purpose In the context of the Covid-19 pandemic and the trend in industrial development 4.0, the problem is how to conduct transactions of goods and services in the market using cashless payment in Vietnam, as in developed countries. This study aims to investigate, analyze and evaluate the factors affecting cashless payment behavior in Ho Chi Minh City, Vietnam. Design/methodology/approach The QR codes are used for payments because many factors affect the behavior of cashless payments made using electronic payment tools, including QR code tools. To achieve this goal, this study applied behavioral theory and the importance-performance analysis (IPA) model to measure service quality based on the difference between customer opinions on the importance and performance level of service providers’ targets. Survey results were obtained from 111 people living in HCMC, Vietnam, including 47 men and 64 women, which was a survey for 15 criteria. Findings According to the IPA results of the first quadrant, managers should focus on allocating their resources toward improving their performance across five key criteria. These criteria are crucial for meeting customers’ expectations and include factors such as product quality, responsiveness to customer queries or complaints, delivery times, pricing and customer service. In addition, the second quadrant of the IPA highlights another set of five criteria that perform well and are essential to the success of the business. These criteria could consist of customer loyalty, employee satisfaction, profitability, market share and innovation Originality/value These results provide a basis for solutions and recommendations for managers to refer to and apply consistent practices. Therefore, this study examines the cashless payment in Vietnam. Empirical results offer solutions to financial technology policy, marketing policy, cashless payment services and technology, which can help managers provide online payments using QR codes and contribute to monetary policy solutions.