Industrial Economic Benefits Research Articles

The Current Status and Future Prospects of Carbon Capture, Carbon Transportation, And Carbon Utilization Technologies in Chinese Coal-Fired Power Plants Within the Context of Dual Carbon Goals

Carbon dioxide capture, utilization, and storage (CCUS) constitute vital measures for achieving net emissions reduction in China. Against the backdrop of the “dual carbon” initiative in China, this paper meticulously examines and analyzes the key technological principles, merits and demerits, and bottlenecks associated with CCUS carbon capture in the country’s thermal power plants at the current stage. It combines the prevailing industrial application status and the future development trajectory of pertinent technologies with considerations of industrial economic benefits and business models. Building upon this analysis, the paper summarizes the application status of CCUS technology in China’s thermal power plant industry and presents future prospects. On the technological front, the three capture methods grapple with the challenge of high costs. Therefore, there is a need to intensify efforts in developing low-cost and efficient carbon capture materials, as well as researching and practically applying low-cost oxygen generation technology. Economically, CCUS technology currently faces high costs, low returns, and certain commercial barriers, placing China in a demonstrative business model stage. To overcome these challenges and realize the economic benefits of CCUS technology, government incentives and technological innovation are imperative. These measures aim to reduce the overall cost of CCUS technology, stimulate the scale development, and foster commercialization, ultimately contributing to the achievement of China’s carbon emission reduction targets.

Impact of Climate Change on Coastal Tourism Destinations

This research paper aims to explore the multifaceted impacts of climate change on coastal tourism destinations. Coastal regions, known for their natural beauty and recreational opportunities, are increasingly vulnerable to the adverse effects of climate change. Rising sea levels, extreme weather events, and changes in temperature and precipitation patterns pose significant challenges to the sustainability and attractiveness of these destinations. Through an in-depth analysis of existing literature, case studies, and empirical data, this paper examines the direct and indirect consequences of climate change on coastal tourism, including impacts on infrastructure, ecosystems, local communities, and visitor experiences. Additionally, the paper explores adaptation and mitigation strategies that can help enhance the resilience of coastal tourism destinations in the face of climate change. The purpose of this study paper is to examine the significant effects that climate change will have on coastal tourist spots around the globe. Coastal regions are more susceptible to harsh weather, erosion, and habitat loss as a result of rising global temperatures and rising sea levels. The study will explore the particular difficulties that these modifications present to well-known tourist destinations, looking at the possible negative effects on the economy, the environment, and society. The study will also look at adaptation tactics used by coastal towns and the travel and tourism sector to lessen the negative consequences of climate change. The research endeavors to offer a complete understanding of the dynamic interaction between climate change and coastal tourism through the analysis of case studies from various places. In order to create sustainable tourism practices that strike a balance between the industry's economic benefits and the preservation of delicate coastal ecosystems, legislators, environmentalists, and the tourism sector need to take this research very seriously.

Impact of the Design Industry on Carbon Emissions in the Manufacturing Industry in China: A Case Study of Zhejiang Province

Reducing carbon emissions during the manufacturing process is a top priority for realizing the strategic “carbon neutral” target. Currently, there is a great deal of research about carbon production in the middle and later stages of production. However, studies on upstream processes are relatively scarce. Studies concerning the design stages are particularly uncommon, although this phase has a profound effect on carbon emissions during manufacturing. Therefore, it is vital to study this and related fields in depth. In this paper, we take Zhejiang Province, China, as the research object, and study the relationship between the design industry and carbon emissions in the manufacturing industry. Through analysis, we developed a first-level evaluation index for the influence of design on carbon emissions in the production stage. Then, we subdivided the first-level indexes into several second-level indexes using the entropy method. Subsequently, we calculated their weights and comprehensively evaluated the influence of these design factors on carbon emissions in the manufacturing industry using the ridge regression model test. Results from our research reveal that at the design end of the production chain, the expansion of resource scale of each design phase has a significant inhibitory effect on the carbon emissions of the manufacturing stage. Conversely, improvements to the industrial economic benefit index have a significant positive effect on the carbon emissions in the manufacturing industry, while government support and the innovation composite index have little influence. The main conclusions of this study are as follows: To reduce carbon emissions in the manufacturing industry, the scale of the inhibitory effect of the design process should be fully evaluated, while the scale construction and related resource input of the design phase should be emphasized. Furthermore, guidance regarding the social responsibility of design enterprises should be strengthened to further promote the concept of “green design” and reverse the purely market-oriented focus of the industry. Also, to promote a greener design industry, the provision of high-quality green design talents should be fortified. In the future, an appropriate green design evaluation index system should be devised to ensure the stable economic development of the design industry and challenge the current situation where a focus on economic indexes results in increased carbon emissions.

Modeling of a spray-drying process for the encapsulation of high-added value extracts from food by-products

The main goal of this research was to develop a mathematical model for a co-current spray drying-assisted encapsulation of natural extracts from grape pomace and citrus fruit peels, aiming to predict both structural features and the retention of their bioactive constituents. Model validation was performed using a laboratory scale spray dryer, analyzing the product in terms of moisture content, solids and total phenolic compounds recovery yields. The comparison between experimental and simulated results revealed that the model properly described the system. A slight effect of air inlet temperature was observed on the phenolic content of produced particles. For this reason, a kinetic law, which allows predicting the degradation of phenols was proposed and validated. These results highlighted the potential of spray-drying technology to efficiently encapsulate high-added value compounds with good preservation of their bioactive compounds, offering the possibility to decrease food waste issues while improving industry economic benefits.

Research on the Orderliness Synergy Between Conventional and Nonconventional for Energy Transition in China

Many industrialized countries are pursuing energy transition, but their focuses are different. The orderliness synergy as a unique aspiration of the current energy transition is emphasized in this article by constructing an orderliness-synergy evaluation model and selecting a dataset covering the period of 2011–2018 from Industrial Scale, Economic Benefit, Social Contribution, and Growth Potential of China to calculate the comprehensive development level and the orderliness-synergy degree of both the conventional energy industry and the nonconventional one. A novel evaluation model with stock-increment attributes is built to measure the resource storage and the growth rate systematically and to further analyze their driving forces. The results reveal that 1) the overall orderliness-synergy degree of these two sub-industries shows an upward trend year by year; however, there are some significant differences among them. 2) China’s energy transition has shown a dramatic promotion in the structural upgrading, while the momentums of these two sub-industries show a shift from the stock–resource–contribution advantage to the increment–resource–contribution advantage. 3) The actual stock-increment contribution coefficient values of these two sub-industries have not reached the development expectations of industrial performances, and there is still reasonable space for the structural optimization. Finally, policy implications are discussed.

An evaluation of coupling coordination between sports industry and health service industry in China

Depending on the strategy of "Healthy China", more and more people pay attention to health issues. The integration and development of sports industry and health service industry is an inevitable outcome of industrial transformation and upgrading and healthy life in the new era. Through constructing the evaluation index system of the coupling and coordination development degree between sports industry and health service industry, using entropy evaluation method and coupling and coordination degree model, this paper explore the comprehensive level and coupling and coordination development status of sports industry and health service industry in thirty-one provinces, municipality cities and autonomous regions of China from 2013 to 2017. The results of this paper show that the comprehensive China’s sports industry and health service industry both present an incremental development trend year by year, and are characterized by the distribution of "high in the east and low in the west" in space. The government’s policy support provides superior industrial supporting conditions for the development of sports industry. However, it is not conducive to the promotion of industrial economic benefits. In the health service industry, the rapid development of health insurance is beneficial to the integration of industrial resources and the perfection of industrial chain. Whereas as the core content of health service industry, health service has greater space for development; the coupling and coordination degree between the two industries rises from mild maladjustment to basic coordination, which is characterized by the distribution of "high in the east and low in the west" in space; among provinces, with Beijing, the Yangtze River Delta and Guangdong as the three development center points, it shows the spatial evolutionary process from "dispersion-type plaques" to "gathering type scattered surfaces".

Microbial Composition in the Duodenum and Ileum of Yellow Broilers With High and Low Feed Efficiency.

The composition of the gut microbiome plays important roles in digestion, nutrient absorption, and health. Here, we analyzed the microbial composition in the duodenum and ileum of yellow broilers. Chickens were grouped based on feed efficiency (high feed efficiency [HFE] and low feed efficiency [LFE] groups; n = 22 each). Microbial samples from the duodenum and ileum were collected, and 16S rRNA sequencing of the V3–V4 region was performed. The dominant bacteria in the duodenum were from the phyla Firmicutes and Cyanobacteria and the genera Lactobacillus, Faecalibacterium, and Ruminococcus. In the ileum, the phyla Firmicutes and Proteobacteria and the genera Lactobacillus, SMB53 and Enterococcus were predominant. Alpha diversity analysis showed that the microbiota diversity was significantly higher in the duodenum than in the ileum. The structure of the ileal microbiota was similar between groups, and the species richness of the microbiota in the HFE group was significantly higher than that in the LFE group. In the HFE and LFE groups, Firmicutes and Cyanobacteria were negatively correlated, and Lactobacillus had medium to high negative correlations with most other genera. Functional prediction analysis showed that the gluconeogenesis I pathway was the most abundant differential metabolic pathway and was significantly altered in the LFE group. Moreover, although the microbial community structures were similar in the duodenum and ileum, the diversity of the microbial community was significantly higher in the duodenum than in the ileum. Pearson correlation analysis revealed that the phylum Chloroflexi and genera Acinetobacter, Pseudomonas, Bacillus and Neisseria were with coefficients <−0.3 or >0.3. In the ileum, Ruminococcus may be associated with HFE whereas Faecalibacterium may be associated with LFE. These findings may provide valuable foundations for future research on composition and diversity of intestinal microbes and provide insights into the roles of intestinal microbes in improving feed efficiency and the industrial economic benefits of yellow broilers.

Application of quantum-like Bayesian network and belief entropy for interference effect in multi-attribute decision making problem

Multi-attribute decision making (MADM) is a classical model that widely used in various fields. But most research about this topic often assume that the attributes are independent each other. In fact the attributes maybe interact or interference each other in many cases. There are researches on the interact relationships with Choquet integral, but there is no research on the interference effect by far to the authors. In this paper, a multi-attribute decision-making model is proposed by considering the interference effects between attributes with quantum-like Bayesian network (QLBN) and belief entropy. Quantum probability theory (QPT) is more in line with people's thinking by considering the interference relationships between attributes, which is represented as the interference value in quantum theory. Belief entropy, an index to calculate the uncertainty of probability, is introduced as a method to calculate the interference value in this paper. Finally, the model is applied to assessing the industrial economic benefit as well as the quantitative performance comparison between the traditional probability and the QLBN probability is presented. It shows that the combination of QLBN model and belief entropy has prediction ability compared with the traditional Bayesian network model.

Trade-Off Between Aquaculture Closures and Fishermen Livelihoods

The prohibition of aquaculture is an important policy instrument for water quality protection. However, there are lack of observations on the complex interactions between stakeholders in the limiting or closing of fisheries and the internal cooperative mechanism that balances the restoration of water bodies and the livelihoods of fishermen. Using evolutionary game theory and modeling, this article analyzes the complex mutual feedback strategy between local government and the affected fishermen in regard to water body restoration and livelihood security under fishing prohibition. The results show that (a) the performance evaluation mechanism of environmental protection, including rewards and punishments, can provide direct political traction and indirect material guarantees for local governments to perform their duties and allow water body restoration and the transition of fishermen to alternative livelihoods. (b) Whether the local government actively promotes aquaculture closures is restricted by the improvement in the aquatic environment, the aquaculture development under the existing livelihood, and the industrial economic benefits of the new livelihood. And the capacity of them contribute to the overall development of the local government. The development of the net income of both parties in the negotiation will shape the direction of a series of public policies that focus on aquaculture closures.

Multi-attribute decision making: An innovative method based on the dynamic credibility of experts

Multi-attribute decision making has become a topic of interest for scholars because it can comprehensively and effectively be used to make decisions in situations in which there are multiple homogeneous options. Attribute weighting is an important step and has a significant impact on decision-making, and the subjective weighting method is commonly used in reality. However, as experts have different knowledge, experiences, preferences and so on, the weights of attributes given by experts are subjective. So expert credibility affects the final weights, and the correctness of the weights calculated in this case cannot be guaranteed. Therefore, the dynamic expert credibility model (DECM) is proposed. First, based on the decision matrix and the weight evaluation matrix, the method for calculating distance-based expert credibility calculates the distance between expert evaluations via the score deviation and ranking deviation. Second, considering the differences in the weight evaluation matrix caused by changes in the individual background of the experts, the expert background change process (EBCP) is proposed. Third, the dynamic value of credibility before and after the EBCP can be calculated. To prove the validity of the model, a test method is proposed from the perspective of data envelopment analysis. Finally, evaluations on industrial economic benefits of 16 provinces or municipalities in China are conducted to illustrate the applicability of the proposed model in practice. Using the test, DECM effectively eliminates the influence of the weight calculation due to expert credibility. After the EBCP, the target value of the DECM reaches 6.0989 and the validity of attribute weights is improved by 2.30%. Compared with the traditional weight determination method, the decision-making result under the DECM is consistent.

Industry choice for an airport economic zone by multi-objective optimization

Airport Economic Zone (AEZ) is a suburban area whose infrastructure, land-use, and economy are centered on an airport. More than 100 AEZs are under planning and development in China. Industry choice is the critical issue for all the AEZs. To ensure that all the industries located in AEZs are closely related to airports and air transport, first, we create a pool of optional industries for AEZs based on the industrial input-output model. Second, we construct a multi-objective combinatorial optimization model subject to the constraints of land area of an AEZ, targeting the maximum number of employees, the largest GDP, the highest degree of aviation correlation, the fullest utilization of basic resources, and the greatest policy support. Third, to verify the feasibility of this model in practice, we choose the Zhengzhou Airport Economic Comprehensive Experimental Zone for case study. We divide these five objectives into two categories: economic objectives and non-economic objectives, and put different weights on them to describe different political preferences, and then discuss the calculation results in three scenarios. Finally, we come to the conclusion that comprehensive consideration of every characteristic of each industry can reasonably determine the scale of industrial land use and increase industrial economic benefit in AEZs. Our research provides a new quantitative and reliable method for industry choice and land use planning of an AEZ.

Industrial Economic Benefit Analysis of Marine New Energy Development under Low Carbon Economy Background

Hou, P. and Xu, M., 2020. Industrial economic benefit analysis of marine new energy development under low carbon economy background. In: Yang, Y.; Mi, C.; Zhao, L., and Lam, S. (eds.), Global Topics and New Trends in Coastal Research: Port, Coastal and Ocean Engineering. Journal of Coastal Research, Special Issue No. 103, pp. 1014–1017. Coconut Creek (Florida), ISSN 0749-0208.The traditional analysis method of industrial and economic benefits of marine new energy development is low in accuracy, so a low-carbon economic analysis method of marine new energy development is designed. The basic balance between input and output of new marine energy development industry is analyzed, and the line balance relationship and column balance relationship of industrial economic benefits are calculated to reflect the consumption coefficient and use relationship among industries. In this work, the static analysis method is adopted to analyze the net present value and the rate of return of profitability, and to evaluate the industrial and economic benefits.

Input-output Analysis of Agricultural Economic Benefits Based on Big Data and Artificial Intelligence

Agricultural modernization is not only reflected in the agricultural technology, production equipment and development model, the more important embodiment is the development of the concept of modernization. To make scientific, rational and practical analysis and guidance on the whole process of agricultural production economy by means of information is helpful to the vigorous development of agriculture and related industries. The purpose of this paper is to provide better Suggestions and technical means for the rational planning of agricultural industry economy by analyzing the input and output of agricultural industry economic benefits based on big data and artificial intelligence. In this paper, the integrated use of big data and the method of artificial intelligence technology related theory, proposed from the perspective of scientific data organization architecture framework model for the evaluation of agricultural economic data, build data acquisition process model, put forward the multi-source, scattered repetition, flooded agricultural economic data resources for centralized framework for assessing analysis and solution. Finally, try in big data environment, respectively, from the dimension of the influence factors of agricultural economic data lifecycle dimension, service dimension three different dimensions explore implementation method, the results showed that the industrial economy in the process of running efficiency of the indicators were higher than 0.76, for the big data in the application of the agricultural economy provides a good example.

미디어아트에 대한 경제적 가치 인식에 관한 연구

미디어아트에 대한 경제적 가치 인식에 관한 연구

Assessing the Socioeconomic Impacts of Intelligent Connected Vehicles in China: A Cost–Benefit Analysis

The deployment of intelligent connected vehicles (ICVs) is regarded as a significant solution to improve road safety, transportation management, and energy efficiency. This study assessed the safety, traffic, environmental, and industrial economic benefits of ICV deployment in China under different scenarios. A bottom-up model was established to deal with these impacts within a unified framework, based on the existing theories and literature of ICVs’ cost–benefit analysis, as well as China’s most recent policies and statistics. The results indicate that the total benefits may reach 13.25 to 24.02 trillion renminbi (RMB) in 2050, while a cumulative benefit–cost ratio of 1.15 to 3.06 suggests high cost-effectiveness. However, if the government and industry only focus on their own interests, the break-even point may be delayed by several years. Hence, an effective business model is necessary to enhance public–private cooperation in ICV implementation. Meanwhile, the savings of travel time costs and fleet labor costs play an important part in all socioeconomic impacts. Therefore, the future design of ICVs should pay more attention to the utilization of in-vehicle time and the real substitution for human drivers.

Detection and comparative analysis of cutaneous bacterial communities of farmed and wild Rana dybowskii (Amphibia: Anura)

Rana dybowskii Gunther, 1876 is a dominant amphibian species in northeast China. In order to understand the composition and structure of the cutaneous bacterial communities of farmed and wild R. dybowskii, two experimental groups (farmed and wild) were investigated in this study. Following DNA extraction, the V3-V4 hypervariable region of the 16S rRNA gene was targeted and analyzed by high-throughput sequencing. The cutaneous bacterial community diversity was investigated and compared through analysis of alpha and beta diversity. A total of 524,852 valid sequences and 1,023 operational taxonomic units (OTUs) were obtained from these two experimental groups. The number of shared OTUs was 333, while there were 603 unique OTUs in the farmed group and 87 unique OTUs in the wild group. The Chao, ACE and Shannon indices of the farmed group were significantly higher than those of the wild group (p < 0.05). The composition and abundance of the dominant bacteria at the phylum and genus levels were different. The dominant phyla in the farmed group were Firmicutes, Proteobacteria, Actinobacteria, Chloroflexi, Fusobacteria, Bacteroidetes, and Cyanobacteria. The dominant phyla of the wild group were Proteobacteria, Bacteroidetes, Firmicutes, and Actinobacteria. Furthermore, the alpha and beta diversities of the cutaneous bacterial communities of farmed and wild R. dybowskii exhibited significant differences. This study provides a theoretical basis for comprehensively understanding the composition and abundance of bacteria on the skin of farmed and wild R. dybowskii, which helps to develop its breeding industry and gain economic benefits.

Are Innovation Output and Economic Output Strongly Related in Emerging Industrial Clusters? Evidence from China

For many countries, innovation-driven development has become a prevalent consensus because innovation can effectively stimulate economic growth. Emerging industries are innovation-intensive with high potential economic benefit. However, is it assured that high innovation output means high economic benefit? In October of 2010, China State Council initiated the Decision of Speeding up Cultivation and Development of Strategic Emerging Industries, signifying top-down policy mobilization to advance emerging industries. According to seven types of emerging industries defined in the Decision, we collected data from official industrial databases to figure out spatial divergence of emerging industries in terms of innovation output and economic benefit over the years from 2000 to 2011. We construct twodimension scatter diagrams based on number of granted patents as the indicator of innovation output and industrial locational quotient as the indicator of industrial economic benefit. The result shows that China has seen preliminary spatial clustering of key emerging industries across regions and industries in the light of innovation output and economic benefit. However, not all regions with high innovation output have high economic benefit. The spatial divergence is closely related to region-specific and industry-specific characteristics. We offer policy implications to facilitate targeted emerging industries with more detailed policy and regional endowment.

Analysis of Industrial Economic Benefits in Wuhan

In this paper, we select the data of industrial segments in Wuhan from 2009 to five years in 2013, and use DEA (Data Envelopment Analysis) method to study the efficiency of industrial segments in Wuhan. The results show that: 1) the average value of Wuhan city industry 35 industry segments DEA comprehensive technical efficiency is 0.661, of which only 4 industry segments for DEA; 2) from pure technical efficiency, the average value of the pure technical efficiency of 35 segments of the industry was 0.827, a total of 13 industry segments to pure technical efficiency; 3) the average value of the 35 industry segment scale efficiency is 0.812, the scale of effective industry segments in 4, is the 4 industry segments comprehensive efficiency, change these segments of the industry scale efficiency, shows that the 4 industry segments of input and output of the right size. Only 1 of the size of the increase in the size of the sub industry, the size of the efficiency of the other 30 segments are decreasing, which accounted for the majority of the effective breakdown of the size of the industry, these segments should be adapted to reduce the scale of investment. On the basis of this, the paper puts forward the policy suggestions.

The Exposure Experience: Ohio River Valley Residents Respond to Local Perfluorooctanoic Acid (PFOA) Contamination.

This article explores the "exposure experience" of participants who received their personal results in a biomonitoring study for perfluorooctanoic acid. Exposure experience is the process of identifying, understanding, and responding to chemical contamination. When biomonitoring studies report results to participants, those participants generate an exposure experience that identifies hidden contaminants and helps level informational imbalances between polluters and affected communities. Participants welcomed the opportunity to learn their exposure results, reporting no psychological harm following report-back. They wove health, economic, and political considerations into their interpretation of results and their present views of past impact. Participants framed their experiences by a half-century of dependence on the chemical industry's economic benefits, leading them to considerable acceptance of chemical exposure as a tradeoff for jobs and the local economy. Our findings show that the exposure experience is an ongoing process that influences social action, with new activism being generated by exposure and health studies.

Based on Grey Correlation Theory of the Eastern Region Industrial Economic Efficiency Evaluation and Analysis

Set up an industrial economic benefit evaluation index system, including three level indexes, 8 secondary index, using the grey comprehensive evaluation method of industrial economic benefits in east China empirically measure and analysis. By analysis of the eastern provinces of the comprehensive ranking, according to the result of evaluation and comparison, we found out the eastern region economic level is uneven. Then, put forward the proposal to the development of eastern industrial economy.