Industrial Path Research Articles

Industrial restructuring and optimization for sustainable development of resource cities based on dynamic simulation perspective

Resource cities are highly dependent on resource industries and have a single industrial structure, so how to adjust and optimize the industrial structure is of practical significance to the sustainable development of resource cities. This paper combines the principle of data envelopment analysis (DEA) and the principle of industrial layout optimization to evaluate and position the current situation of industrial structure in resource cities. Based on this study, the simulation dynamic simulation of the path optimization of sustainable industrial development is conducted through the study of the dynamics principle, and the realism and validity of the model are tested by combining it with the actual data to realize the prediction of sustainable industrial path development. The results show that: In the simulation dynamic simulation prediction, the scale of the resource industry in resource cities decreases by about 6%-8% in 2020, and its simulation prediction data and real data have high consistency, which verifies the effectiveness of industrial structure adjustment and optimization strategy. This paper studies the optimization and upgrading of industrial structure to promote the sustainable development of a resource-based city economy, narrow the gap between the economic development of east and west regions, promote urbanization, and improve inter- and intra-regional development imbalance.

Deep Insights into the Coupled Optoelectronic and Photovoltaic Analysis of Lead-Free CsSnI3 Perovskite-Based Solar Cell Using DFT Calculations and SCAPS-1D Simulations.

CsSnI3 is considered to be a viable alternative to lead (Pb)-based perovskite solar cells (PSCs) due to its suitable optoelectronic properties. The photovoltaic (PV) potential of CsSnI3 has not yet been fully explored due to its inherent difficulties in realizing defect-free device construction owing to the nonoptimized alignment of the electron transport layer (ETL), hole transport layer (HTL), efficient device architecture, and stability issues. In this work, initially, the structural, optical, and electronic properties of the CsSnI3 perovskite absorber layer were evaluated using the CASTEP program within the framework of the density functional theory (DFT) approach. The band structure analysis revealed that CsSnI3 is a direct band gap semiconductor with a band gap of 0.95 eV, whose band edges are dominated by Sn 5s/5p electrons After performing the DFT analysis, we investigated the PV performance of a variety of CsSnI3-based solar cell configurations utilizing a one-dimensional solar cell capacitance simulator (SCAPS-1D) with different competent ETLs such as IGZO, WS2, CeO2, TiO2, ZnO, PCBM, and C60. Simulation results revealed that the device architecture comprising ITO/ETL/CsSnI3/CuI/Au exhibited better photoconversion efficiency among more than 70 different configurations. The effect of the variation in the absorber, ETL, and HTL thickness on PV performance was analyzed for the above-mentioned configuration thoroughly. Additionally, the impact of series and shunt resistance, operating temperature, capacitance, Mott-Schottky, generation, and recombination rate on the six superior configurations were evaluated. The J-V characteristics and the quantum efficiency plots for these devices are systematically investigated for in-depth analysis. Consequently, this extensive simulation with validation results established the true potential of CsSnI3 absorber with suitable ETLs including ZnO, IGZO, WS2, PCBM, CeO2, and C60 ETLs and CuI as HTL, paving a constructive research path for the photovoltaic industry to fabricate cost-effective, high-efficiency, and nontoxic CsSnI3 PSCs.

Research on the path of high-quality development of the rural tourism industry driven by big data technology

Abstract At present, although the development of rural tourism has been studied in many aspects and angles in China’s academic circles, the research on its development mode is not sufficient, especially the case study on the selection of rural tourism development mode characterized by geographical areas is insufficient. To explore the development path of the rural tourism industry promoted by big data technology, this paper takes rural tourism development in the context of big data as the research object and measures the development efficiency of the rural tourism industry in each province of China’s rural tourism industry based on the research results of rural tourism development model at home and abroad, based on which the Tobit model with restricted dependent variables after basic regression is used to analyze the level of economic development, the provincial market size, informationization level, and government macro-control of rural tourism on the efficiency of rural tourism. The results show that the degree of influence of each variable on the efficiency of the rural tourism industry varies and varies widely. The level of economic development, government macro-regulation and control, and the level of informationization have a significant positive influence on the comprehensive efficiency of the rural tourism industry. In the evaluation of high-quality rural development, Zhejiang ranks first with 62.07772, followed by Jiangsu with 59.57594, Fujian, Guangdong, Beijing, Shanghai, Jiangxi, and Qinghai, all of which have achieved more than 50% of high-quality rural tourism development. Except for the eight provincial administrative regions mentioned above, all other provincial administrative regions have an overall rural tourism score below 50. Therefore, the promotion of high-quality rural tourism development requires consideration of various factors, cooperation, and collaboration, as well as the support of big data technology and localized planning and development strategies for the tourism industry, and the development of the rural tourism industry has a long way to go.

Research on Green and Low-Carbon Development Path of the Electric Power Industry

In the analogy where achieving the “carbon peaking and carbon neutrality” goals (the “dual carbon” goals) is compared to a battle, energy is the main battlefield, and electric power the main force. The low-carbon transformation path of the electric power industry exerts fundamental impact on progress towards carbon peaking and carbon neutrality of the whole society. Therefore, this paper first analyzes challenges and opportunities faced by the electric power industry to achieve the “dual carbon” goals; secondly, on the basis of deep low-carbon, zero-carbon and negative-carbon scenarios of the electric power industry, this paper quantifies and delves into the consumption structure of primary energy and final energy, as well as the future development positioning and trend of different categories of energy. Based on the research results, this paper proposes low-carbon transformation path of the electric power system at the stages of carbon peaking, deep low-carbon and carbon neutrality, and analyzes the trend of power supply cost changes in different scenarios. On this basis, a series of implementation key points and measures are proposed to adapt to green and low-carbon transformation of the electric power industry, covering areas such as coal-fired electric power development positioning, new energy development and utilization, diversified supply and demand, new energy industry chain, and power supply costs, and so forth.

Analysis of China's non-ferrous metals industry's path to peak carbon: A whole life cycle industry chain based on copper

Copper is an essential nonferrous metal, and the adjustment of its whole industry chain structure is conducive to realizing a carbon peak in the nonferrous metal industry. We have performed a life cycle assessment to calculate the carbon emissions of the copper industry. Based on the carbon emissions scenarios of shared socioeconomic pathways (SSPs), we have utilized material flow analysis and system dynamics to analyze the structural changes in the copper industry chain from 2022 to 2060 in China. The results show that (1) the flows and in-use stocks of all types of copper resources will increase significantly. The overall copper supply may meet demand around 2040–2045 due to secondary copper production potentially replacing primary copper production to a large extent, and trade supply is the primary pathway for meeting copper demand. (2) The total carbon emissions from the regeneration system are the smallest (4 %), followed by the production and trade subsystems, accounting for 48 %. The embodied carbon emissions from copper product trade in China have expanded annually. (3) Under the SSP scenario, the copper chain carbon emission peak will be achieved by approximately 2040. Based on a balanced copper supply and demand scenario, the recycled copper recovery efficiency must reach 84.6 %, and the energy structure (the proportion of non-fossil energy in electricity) must reach 63.8 % by 2030 to achieve the carbon peak target for the copper industry chain in China. The above conclusions indicate that actively promoting adjustments in the energy structure and resource recovery processes may help encourage the carbon peak of nonferrous metals in China by realizing the carbon peak of the copper industry.

Research on the Innovative Path of Empowering Rural Revitalization with Characteristic Industries in Danzhai County, Guizhou

Taking Danzhai County, Qiandongnan Miao and Dong Autonomous Prefecture, Guizhou Province as an example, this paper uses entropy method to explore the development of medicine and fruit characteristic industry and help rural revitalization in Danzhai County, and on this basis, discusses the innovative path of medicine and fruit characteristic industry to empower rural revitalization. Overall, at present, danzhai medicine fruit characteristic industry in the industry chain, marketing channels and talent reserve training problems, danzhai can increase policy support, strengthen the industrial chain coordination, broaden the marketing channels, strengthen brand construction, customer service, strengthen talent introduction form rural revitalization of new growth point, assigned to rural revitalization of construction.

Path and Mechanism of Industrial Internet Industry Promoting the Transformation and Upgrading of Small and Medium-sized Enterprises with Artificial Intelligence

With the development of intelligent sensing and communication, industrial Internet of Things (IoT) networks have been widely applied in many application scenarios. As a typical application of industrial Internet of Things (IoT) networks, industrial Internet industry has attracted much attention from researchers. Specifically, in the transformation and upgrading of small enterprises in the Internet industry, their paths and mechanisms are very important. The correct path and mechanism of transformation and upgrading can promote national economic growth, strengthen market competition, enhance market vitality, and optimize economic structure. Small and medium-sized enterprises have always been the backbone of my country’s economic development, especially in terms of promoting employment, promoting technological innovation, increasing national taxes, and improving people’s livelihood. In this paper, when discussing the relationship between knowledge sharing and business performance of SMEs, the organization name is introduced as an intermediate variable. By combining theoretical research and empirical research, a theoretical model is established, research hypotheses are proposed, and the previous research questionnaire is used, by exploiting the intelligent sensing and communication. As a reference, a research questionnaire suitable for the reality and needs of this research was designed. On this basis, this article first has a deep understanding of the research status of comprehensive budget management at home and abroad and analyzes the innovations and shortcomings of this article in the analysis process, understands the mobile Internet, integrates budget management, and integrates information for budget management. It prove the feasibility of helping small and medium-sized enterprises to transform in the mobile Internet environment and analyzes the feasibility of implementation to help small and medium-sized enterprises; it also shows that the industrial Internet industry is helpful to the transformation of traditional industries and is conducive to the transformation and upgrading of enterprises, thereby solving the problem of high cost of building an information platform, reducing the workload of IT personnel and extending the budget Management time provides new ideas for promoting the transformation and upgrading of the Internet for small and medium-sized enterprises, which can increase the efficiency of the small and medium-sized enterprises by more than 40% and greatly increase their profits, through the intelligent sensing and communication. The research of this paper provides important guidance for the application of industrial IoT networks, especially for the intelligent sensing and communication.

Research on the optimization of the path of the agricultural logistics industry under the innovative mode of “blockchain + supply chain finance”

Abstract To promote the development and application of “blockchain+supply chain finance” in the agricultural logistics industry, this paper uses the ECC algorithm in the blockchain model as the basis and implements an asymmetric encryption algorithm based on elliptic curve mathematical theory to optimize the ECC algorithm. Based on the ECC algorithm in the blockchain model, this paper implements an asymmetric encryption algorithm based on elliptic curve mathematical theory to optimize the ECC algorithm. Combining the dynamic variational particle swarm optimization algorithm and the AdaBoost integration algorithm, the DPSO-SVM algorithm is weighted and combined into a strong classifier, and an evaluation model based on AdaBoost-DPSO-SVM is established, and the model is compared with other models. The experimental results show that the data platform based on “blockchain + supply chain finance” can well solve the problem of loss of confidentiality in the process of identifying agricultural products in the agricultural logistics industry. This also shows that through the way of “blockchain + supply chain finance”, it can provide a better development path for the agricultural logistics industry and can truly achieve low-cost commercial communication, i.e. multi-functional integration development.

Which industrial path contributed to CO2 transfer and emissions slowing-down of China and the United States most in international trade?

Carbon transfer in international trade has triggered disputes on environmental equity between developed and developing countries. Hence, it is urgent to make it clear the carbon transfer process of international trade between China and the United States, explore the adjustment plan of emission reduction responsibility and formulate targeted emission reduction measures. These will play an important leading and demonstration effect in addressing global warming and coordinating international carbon reduction. This study built a CO2 international trade transfer network model of China and the United States. Based on identifying the carbon transfer path flowing from primary product sector to final production sector, and then to final consumption, we analyzed the industrial association relationship and distribution differences between China and the United States with external countries and regions. Lastly, we put forward emission reduction policy implication in industrial scale. The key paths of China and the United States are concentrated in the two export and import transfer types respectively. Among the key paths of China's bilateral primary production export type, paths from domestic Electricity, Gas and Water to foreign Construction accounted for the largest 40% share. As for the United States, transfer type of bilateral final production import is the most prominent, and path number and flow from foreign Transport to domestic Public Administration both accounted for more than 30%. Based on shared responsibility to adjust the emission reduction tasks under the Paris Agreement, China and the US will allow to emit 10% more and reduce 6% more, reaching 54% and 25% respectively. Taking into full consideration the national economic development level and the differences in the production technology level of industrial sectors, as well as the upstream and downstream related sectors' relationship, the refined emission reduction strategy is proposed from different aspects, such as technical assistance, financial support, import control, technology sharing and consumption transformation.

The role of demand in regional industrial path development – examples from the Swedish periphery

ABSTRACT This paper deals with the role that demand can play in regional industrial transformation, focusing on new industry formation in peripheral regions. As we argue in this paper, demand can be an important driver for industrial transformation, yet often underscored in the literature on regional development. Demand includes aspects related to general consumption patterns, to co-development between users and producers, to public procurement, or to norms and values among consumers. Theory building departs from accounts on new path development, were peripheral regions are typically seen as providing unfavourable conditions for industrial transformation, due to a weak organizational and institutional endowment. The empirical analysis focusses on two cases of new regional industrial path development in Värmland, a peripheral region in Sweden, namely locally processed dairy products, as well as microbreweries. The analysis is based on in interviews with regional entrepreneurs and industry stakeholders. We highlight the multiple roles that demand has played in the renewal and creation these two new regional industrial growth paths in the Swedish periphery.

Research on the Development of Image Processing Software Industry - Taking "Meitu Xiuxiu" and "Xingtu" as Examples

This research starts with an analysis of the operating models of two major image processing softwares, Meitu Xiuxiu and Xingtu, and then explores the changes and operating rules under new technological conditions. The study focuses on these new changes under the conditions of popular demand and new technology, and concludes on how to attract users as well as increase user stickiness and enhance the business value of the Meitu platform. The aim is to analyze the development path of the image beatification software industry. As the originator of photo retouching software, Meitu was once a must install software for many girls who loved beauty. It started at the peak and relentlessly developed corresponding mobile phones and original beauty brands. From the initial valuation of more than 10 million yuan, it is not difficult to found the expectation of the capital market. Given the fact that the world is in an era of VUCA (volatility, uncertainty, complexity and ambiguity), the VUCA will determine the unpredictability of changes in the pattern of current business world. To sum up, Meitu should dig deep into the content and build the content ecological core in the "beauty" field of its expertise.

Cumulative causation in regional industrial path development – A conceptual framework and case study in the videogame industry of Hamburg and Shanghai

While broad evidence has been generated on the forces leading to divergent regional industrial path development, we still do not fully understand how initial structural differences between regions are dynamically attenuated in industrial path development processes. In other words, the cumulative causation processes instigating such differences are not well explored. In this paper, a process model is developed, which conceptualizes industrial path development as an iterative build-up of innovation system resources, which is conditioned by firm- and system-level agency. We argue that the specific configuration of system resource stocks, as well as firm- and system-level agency jointly condition the further evolution of a path each time a regional industry reaches a “critical moment”. Unpacking the cumulative system building process across development phases allows exploring how positive or negative cumulative causation patterns emerge in the path development process and how early interventions in the system building process may have knock-on effects at later stages.

China’s Biogas Industry’s Sustainable Transition to a Low-Carbon Plan—A Socio-Technical Perspective

China’s biogas industry has experienced ups and downs over the past two decades, with various challenges pointing to misplaced expectations that biogas technology is overly focused on energy production. With the promotion of China’s low-carbon strategy, a more rational and sustainable transformation strategy is crucial for the development of the biogas industry. To elucidate the sustainable development process of the biogas industry, this study applies the socio-technical transition theory and the strategic niche management (SNM) approach to understand the multi-regime interactions of biogas systems and their possible future paths. At present, the Chinese biogas industry needs to abandon the expectation of energy recovery and establish the expectation of multi-functional combination, especially including nutrient cycling. This study proposes a sustainable transformation path for the biogas industry and predicts three phases based on the type of socio-technological transformation path: a transformation path to 2030 to promote niche innovation and develop core technologies; a reconfiguration path from 2030 to 2050, which will require a lot of trials and errors; and the expansion of market share in 2050 through technology replacement. This study highlights the importance of niche experimentations and broad advocacy coalitions for the biogas industry. This research also illustrates how the transformation of China’s biogas industry can be achieved through incremental innovation with consistent policy support.

A brief discussion on overtourism and sustainable development

This report briefly reviews and sorts out the proposal of sustainable development theory and clarifies the definition of the term "overtourism". Through a series of cases of famous tourist destinations around the world, the issues and impacts of overtourism are revealed, and some solutions adopted by governments and organizations in various places are reviewed critically. Overtourism has become a global problem for a long time, and the development of sustainable destinations is an inevitable path for the global tourism industry. But it does not have a unified solution. To solve this problem requires the joint efforts of all stakeholders.

Inter-farm cluster interaction of the operational and planned offshore wind power base

The inter-farm cluster interaction is one of the most difficult aspects of building and planning ten million-kilowatt offshore wind power bases. This study is an attempt to assess the wake and production interactions in the substantial offshore wind farms in Jiangsu Province of China under operational (2020) and planned (2025) scenarios using the updated Weather Research and Forecasting model coupled with the 3D Price-Weller-Pinkel ocean model and the wind farm parameterization model. The results indicate a larger wind deficit of −0.73 ∼ −1.30 m/s in the planned levels of 2025 than that of −0.52 m/s in 2020, with the wake meandering enlarged from 30 km to 90–100 km. Moreover, the newly added power capacity path in the future wind farm development has an impact on power production. The capacity factor of the wind power base will decrease if the average number of turbines in a wind farm is increased or the turbine capacity is increased. It is interesting to note that the planned development mode of positive turbine capacity with conservative farm capacity has relatively low inter-farm cluster wake interference and can be recommended as a priority path for the offshore wind power industry to achieve carbon neutrality and cleaner production.

Can renewable energy portfolio standards and carbon tax policies promote carbon emission reduction in China's power industry?

The carbon emissions of the power industry in China rank the highest among all industries. There is an urgent need to explore the development path of the power industry under carbon peaking and carbon neutrality. Renewable portfolio standards (RPS) and carbon tax policy are effective policy instruments for realizing the low-carbon transition in the power industry. When both RPS and carbon tax policy are implemented, can they drive carbon reduction in the power industry? This paper constructs an electricity market equilibrium model and a system dynamics (SD) model to analyse the impact of multiple policies in electricity markets to address this question. There were several important results. (1) The increase in quota ratio and carbon tax price negatively impacts the generation of thermal power firms, which raises their willingness to invest in renewable energy. (2) The intensity of emissions reduction has a significant influence on the effectiveness of emissions reduction. The greater the emissions reduction intensity, the better the carbon emissions reduction effect, but the power supply declines. (3) Under multiple policies, green power firms choose cost padding to achieve profit maximization goals, which reduces green power generation and leads to market inefficiency.

Production Efficiency of Raw Milk and Its Determinants: Application of Combining Data Envelopment Analysis and Stochastic Frontier Analysis

China’s raw milk production is confronted with problems such as high production costs, stringent environmental constraints, weak industrial interest linkages, etc. The extensive and inefficient operation mode seriously restricts the further development of China’s dairy industry. How to increase the production efficiency of raw milk and realize the transition from “a country with high milk production” to “a country with high-efficiency milk production” has become the key to further developing China’s dairy industry. In order to explore the upgrading path of the raw milk industry in China, this study used the DEA-Malmquist model to estimate the production efficiency of raw milk in China and analyze its spatial and temporal distribution characteristics based on raw milk production input and output data at four scales (i.e., free-range, small-scale, medium-scale, and large-scale) from 2004 to 2020. It then adopted the SFA model to explore the relationship between raw milk input and output factors and the driving factors of production efficiency. Finally, robustness was discussed according to the existing research differences. The study draws several valuable conclusions. First, the production efficiency of raw milk in China from 2004 to 2020 fluctuated upward and showed specific regular regional distribution characteristics, but the spatial–temporal differences were minor. Second, raw milk production efficiency is significantly influenced by various factors, including the proportion of concentrate to roughage consumption, medical and epidemic prevention investment, the price of raw milk, the wage level, and fixed assets. Third, the spatial–temporal distribution and driving factors of raw milk production efficiency are less robust, so efficiency analysis and improvement measures should fully consider analytical methods, scale heterogeneity, indicator systems, and temporal heterogeneity.

Research on Cement Demand Forecast and Low Carbon Development Strategy in Shandong Province

The dual carbon targets and environmental quality constraints have released a clear transition signal for the green and low-carbon development of the cement industry. This study builds a CDI model based on the terminal sector forecasting method, predicts the cement demand in Shandong Province from 2020 to 2035, constructs a CO2 emission scenario in combination with green and low-carbon technical measures, uses the life-cycle assessment method to systematically simulate the CO2 emission trend of the cement industry in Shandong Province from 2020 to 2035, and discusses the low-carbon development path of the cement industry. The research shows that the overall demand for cement in Shandong Province shows a downward trend. Under the HD scenario, the cement demand has reached a historical peak of 166 Mt in 2021, and the per capita cement consumption is 1.63 t. In terms of CO2 emission structure, industrial production process CO2 accounts for 50.89–54.32%, fuel combustion CO2 accounts for 25.12–27.76%, transportation CO2 accounts for 10.65–11.36%, and electricity CO2 accounts for 9.20–10.71%. Through deepening supply-side structural reforms and implementing green and low-carbon technologies, the CO2 emissions and carbon intensity of the cement industry in Shandong Province will be significantly reduced. Under the EL scenario, CO2 emissions will be reduced from 92.96 Mt in 2020 to 56.31 Mt in 2035, the carbon intensity will be reduced from 581.32 kg/tc in 2020 to 552.32 kg/tc in 2035. In the short term, the decarbonization path of the cement industry in Shandong Province is mainly based on improving energy efficiency and comprehensive utilization of resources and energy technologies. In the long term, alternative raw materials and fuels are of great significance to improving the green and low-carbon development level of the cement industry.

Research on Diversified Development Path of Media Industry in the New Media Era

Research on the diversified development path of media industry in the new media era is conducive to systematically analyzing the position and role of media industry in economic development. Using statistical data to quantitatively measure the correlation effect and dependence degree among the internal organizational structures of the media industry can play a positive role in optimizing the industrial structure and promoting the rapid, coordinated and efficient operation of the media industry. In this paper, the SBM model is used to measure the operating efficiency of listed companies in the media industry, and the correlation between institutional factors and the development level of media industry in China and the degree of correlation are discussed by using correlation analysis and grey correlation analysis. The empirical results show that from 2010 to 2021, the operating efficiency of listed companies in China's media industry has been around 0.6, with the peak value appearing in 2011. The degree of media marketization has the highest correlation with the development level of China's media industry, which has a great influence on the development of China's media industry. The media needs to develop the effective allocation of media productivity and production factors, and must establish exclusive ownership system arrangement.

High-performance electrothermal coatings based on natural flake graphite for multifunctional electrothermal applications

Electrothermal elements are used in electronic devices, physiotherapy, and health care due to their lightweight and fast temperature response. However, the high cost and susceptibility to oxidation of traditional electrothermal materials limit their application. In this work, a low-cost, environment-friendly, controllable, and high-performance natural flake graphite-based electrothermal coating is proposed that can be used in various electrothermal applications. The results demonstrate that the morphology and electrothermal properties of the coatings can be controlled based on pressure engineering and the use of various adhesives. The uncompressed electrothermal coatings can reach a maximum temperature of 157.9 °C and a maximum electric conductivity of 27.89 S/m at 36 V, whereas the compressed coatings can reach a maximum temperature of 199 °C at only 18 V and a maximum conductivity of 433.6 S/m, which is 22 times higher than the corresponding uncompressed coatings. This work provides a low-cost, high-performance, and well-attainable industrialization path for the application of natural graphite-based electrothermal coatings in indoor heating, light electrothermal clothing, and snow and ice removal.