Economic Structure Optimization Research Articles

Security and Privacy Challenges using IoT-Blockchain Technology in a Smart City: Critical Analysis

A smart city is a comprehensive concept created by multiple digital industries. Smart city is a new generation of information technologies such as the Internet of Things, cloud computing, big data, and geospatial information to promote smart new ideas for urban planning, construction, management and services, power city operation and administrative management, industrial development, and public services in various fields. It is a modern high-end urban development form. A smart city is to establish a city center system by connecting terminals, applying information technology and network, and ultimately promoting the efficiency improvement and economic structure optimization in various fields. However, in the construction of smart cities, due to the sharing of a large amount of data, a lot of data leakage is caused, and data protection faces many challenges. The article first introduces the structure of smart cities, the challenges faced by smart cities in data protection and data privacy protection; then summarizes the characteristics, applications, and challenges of blockchain technology in the application of blockchain in smart cities, and makes reference to references. The corresponding comparisons are made, and the future challenges are finally summarized and proposed.

The Statistical Measurement System of High-Quality Development Level of Cities - Based on Yangtze River Delta Region of China

Combining China's development concepts of innovation, coordination, green, openness and sharing, the paper constructs a high-quality development measurement system of Yangtze River Delta of China, which contains five dimensions: the optimization of economic structure, the efficient allocation of resource, the stable growth of economic, the regional development coordination and the presentation of economic achievements. Using 2019 municipal data, the entropy weighted TOPSIS method was used to statistically measure the level of high-quality development level of 27 cities in the Yangtze River Delta region. And four categories of cities, namely excellent, good, normal and lagging, were classified. The results show that Shanghai has the highest level of high-quality development, and most cities have lower scores in the subsystem of the stable growth of economic. Finally, this paper makes targeted reasonable suggestions for cities, especially the lagging cities.

Research on the High-Quality Development of China's Trade Economy under the Background of Carbon Neutrality

Since China's reform and opening up, especially after its accession to the World Trade Organization, foreign trade has achieved fruitful results. But at the same time, the extensive growth mode of foreign trade with high energy consumption and high pollution has also caused a rapid increase in carbon emissions, especially in import and export trade, there are a large number of embodied carbon emissions. In order to achieve the strategic objectives of "carbon peak" and "carbon neutrality", and build a green trade system to achieve the coordinated and high-quality development of trade and environment, it is of great significance to study the carbon neutrality strategy for the high-quality development of China's foreign trade economy. According to the study, the optimization and upgrading of China's foreign trade and economic structure must be based on the carbon neutral strategy, which can effectively alleviate the impact of trade barriers brought by the trend of anti-globalization by weakening the dependence on energy imports. Especially for the export of low-end high-carbon industrial manufacturing products and the import of fossil energy, it has important strategic significance. Therefore, this paper puts forward relevant strategies for carbon reduction and emission reduction to promote the upgrading of trade and industrial structure.

Communication Channels for the Rule of Law and Environmental Sustainability: Reflections from a Green Economy Perspective.

To realize the sustainable development of the environment from the perspective of green economy, it is necessary to effectively utilize the communication channels of environmental sustainability under the rule of law. As a new driving force for economic growth and ecological environment, green economy is analyzed from the perspective of coordinating economic and environmental development. This paper fully analyzes the impact of green economy on economic growth and ecological environment. Based on the inherent relationship, the rule of law and environmental sustainability are conducive to promoting economic growth and also play a continuous role in environmental improvement. Areas with a high level of economic development also have a higher proportion of resource consumption. Driven by technological innovation, green economy can effectively reduce the impact of the environment, promote sustainability, and further promote the coordinated development of the economy and the environment. The results of the case analysis show that, in the proportion of the green economy with a large amount of investment, compared with the traditional policies and regulations, it greatly reduces the aggravation of environmental sustainability and has a positive role in promoting the long-term development of the Chinese economy. It can not only effectively accelerate economic growth, but also realize the reflection from the perspective of green economy and promote the optimization of economic structure.

A method for incorporating heterogeneity in measuring the economic carrying capacity of urban infrastructures

The economic carrying capacity of urban infrastructures (UIECC) refers to the ability that the urban infrastructures should have in order to achieve the goal of sustainable development of the urban economy. The UIECC is a crucial factor in the sustainable development of a city. Insufficient UIECC would cause many social problems. Different cities may have many differences in infrastructure construction, economic development and policy support, which lead to heterogeneity among them. If different cities are evaluated under a unified economic standard and criteria, the measurement results would be inaccurate. Therefore, the urban heterogeneity should be considered when calculating UIECC. Through review of literature, which includes indicator selection criteria and policy guidelines, this study establishes an indicator system of UIECC from the joint perspectives of carrier and load. Then, we developed a new UIECC evaluation method that considers heterogeneity, by combining the entropy weight method, the linear weighted sum method and the meta-frontier slack based measurement model. The meta-frontier slack based measurement model considers the slack variables and divides cities into different groups according to the heterogeneity between the cities, which makes the measurement results more accurate and more realistic. Following that, a study of the Beijing-Tianjin-Hebei region was conducted using data covering a period of 14 years (2004–2017) to demonstrate the application of the UIECC model. The results show that: 1) the model developed is applicable and effective for evaluating the UIECC; 2) the existence of heterogeneity hinders the coordinated development of cities; 3) the UIECC potential varies significantly between cities. Based on the results, the following suggestions are proposed: 1) It is important to take heterogeneous measures into consideration to improve the UIECC in the future according to development plans among cities; 2) It is necessary to remove the restrictions on infrastructure imposed by the administrative division between cities; 3) when planning infrastructure development, one should adapt a combined perspective of regional development and economic structure optimization.

Has the Economic Structure Optimization in China’s Supply-Side Structural Reform Improved the Inclusive Green Total Factor Productivity?

One of the goals of China’s supply-side structural reform is to improve total factor productivity (TFP). Considering the problems of environmental deterioration and income disparity faced by China, this paper first incorporates environmental pollution and income disparity as undesirable outputs into the TFP analysis framework, and extends the concept of inclusive green TFP (henceforth IGTFP).We measure and analyze the IGTFP in China’s provinces from 1995 to 2017 using the Malmquist–Luenberger index, and then examine, for the first time, the impacts of economic structural optimization in the supply-side structural reform on the IGTFP. The results are shown as follows. First, China’s national IGTFP index is significantly smaller than the traditional TFP index. That is, the traditional TFP without the constraints of environmental pollution and income disparity overestimates China’s real TFP. Second, there are significant regional differences in China’s IGTFP, the average annual growth rate of IGTFP shows a gradual downward trend from east to west. This would further exacerbate the regional imbalance in China’s economic development. Third, among the structural factors in economic structure optimization, industrial structure and energy structure are negatively correlated with the IGTFP, while factor structure, labor structure and urban–rural structure are all positively correlated with the IGTFP. These results imply that the economic structure optimization driven by supply-side structural reform will improve China’s IGTFP.

Study on the driving factors and regulation mode for coal production capacity

Coal production capacity regulation is a complex system involving economic growth, structural optimization, high-efficiency mining, and environmental protection. Based on its driving factors, this paper forms four regulation modes representing different control orientations, establishes a system dynamics model, and predicts the regulation effects of single-factor and combined control mode. The result shows: (1) Except for the mechanization degree and recovery rate, the other nine individual production capacity control policies are all conducive to reducing coal production capacity and restraining the excessive growth of coal production capacity. (2) The effect of combined regulation mode on slowing down the growth of coal demand, regulating the excessive growth of coal production capacity and new capacity investment are obviously better than that of single policy. (3) The combined control modes have obvious differences in the suppression effect on coal production capacity: transformational development mode > technology-driven mode > structural optimization mode > efficiency improvement mode. Therefore, in the process of achieving optimal regulation of coal production capacity, attention should be paid to the preferential use of transformational development and technology-driven mode. At the same time, the comprehensive use of regulation and control methods should also be considered to improve the regulation effect and the regulation efficiency of coal production capacity.

An evaluation of the development of the Ocean Economy in China using an Ocean Economic Development Index

This paper proposes the concept of a China Ocean Economic Development Index (OEDI), and constructs an index with three dimensions - development level, development efficiency and development potential. Twenty-nine sub-indices are used to generate a comprehensive quantitative evaluation of China’s ocean economic development. It is argued that such an index can play a crucial role in improving the capacity for monitoring and evaluating the ocean economy activities, serving the macro-regulation and control of the ocean economy, facilitating ocean economic structural optimization and adjustment, and promoting the sustainable development of the ocean economy. The application of the OEDI to China’s ocean economy development during the period from 2010 to 2018 has shown that China registered continuous ocean economic development, with growing economic strength, development level, development efficiency and development potential.

How can China achieve the energy and environmental targets in the 14th and 15th five-year periods? A perspective of economic restructuring

Abstract China, the world's largest emitter of carbon dioxide, has promised to become carbon neutral before 2060 and to begin cutting its pollutant emissions. Is China's environmental target achievable in the forthcoming 14th and 15th five-year periods (2021–2030)? Widespread attention has been devoted to end-of-pipe measurements. However, few efforts have been made to examine the optimal path of industrial upgradation with respect to the economy–energy–environment objectives. To fill this gap, this study proposes a dynamic optimization model to examine the desirable evolution path of industrial restructure. The main findings are as follows. First, to achieve the energy and environmental targets, the optimal share of tertiary industry should increase from 28% to 57% by 2030. Secondary industry should fall by 44.68%, and primary industry should be relatively stable. Second, coal will still dominate the total consumption despite a slight decline of 6.4% in the next decades. However, oil proportion may decline significantly from 26.7% to 15.2%. Non-fossil energy sources will increase from 10.6% to 28.5%. Third, with the optimization of economic structure, the GDP growth will decouple from energy consumption and gas emissions. By comparing different scenarios, it appears that the results are more sensitive to energy and emission efficiency rather than economic constraints. In the next decades, industrial upgradation will play a more important role than end-of-pipe treatment for the dual objective of economic development and environmental governance. The desirable restructuring roadmap can provide explicit guidance for future policy-making.

Big data and industrial innovation progress in Jiangxi Province incremental effect highlights enabling digital economy cultivation

With the advent of the Internet information age, most social and economic activities rely on data. As a new resource, big data technology plays an important role in the social digital economy. Therefore, it is not only the objective requirement of economic development, but also the value of big data resources to promote the close integration of big data and industry, and help the upgrading and development of industry with big data. In order to emphasize the strength of digital economy, this paper studies the gradual effect of big data and industrial innovation in Jiangxi Province, and carries out a series of studies. With the development of the times, the most popular Internet also changes with the development of the times. The Internet has changed from the IT era at the beginning to the new digital technology era. The creation of big data technology and the establishment of database have become the storage and source direction of new resources for all industries. At present, the digital economy is facing the opportunities and challenges of the “Internet plus” new market. Digital economy related enterprises should strengthen mutual cooperation among resources supply network organizations such as information and information, dissolve and reorganize production factors, strengthen the competitiveness among industrial economies, promote the optimization and upgrading of industrial economic structure, and expand the market space for which the industry can develop. However, the development of the Internet plus industry depends on the innovative investment and innovation power of the industry. In the era of big data, one of the ways to improve the overall level of the industry is innovation. This paper discusses how much influence big data shows in the cultivation of digital economy.

Evaluation Model of Low-Carbon Circular Economy Coupling Development in Forest Area Based on Radial Basis Neural Network

In this paper, we study the radial neural network algorithm for low-carbon circular economy in forest area, design a coupled development evaluation model, study its algorithmic ideas operation mode and the update formula obtained by standard algorithm, and finally optimize the RBF neural network by particle swarm algorithm. After an in-depth analysis of the particle swarm algorithm, an improved particle swarm algorithm is proposed to improve the search accuracy and capability of the algorithm by nonlinearly adjusting the inertia weights and introducing the average extreme value factor, in response to the problems of premature convergence and poor search capability that appear in the particle swarm algorithm. Through the analysis and evaluation of the interaction between industrial ecosystem and carbon emission, the main influencing factors of carbon emission are identified, and the size and magnitude of the influence of economic growth, industrial structure, energy intensity, and energy structure on carbon emission are determined; the current situation of the industrial ecological structure is evaluated, and the direction of optimization and adjustment of industrial economic structure, energy structure, and ecological structure is clarified. We construct a multidimensional multiconstraint multimodel industrial ecological structure optimization prediction model, set the development scenarios of economy and society, and optimize the prediction of low-carbon industrial ecological structure in forest areas; based on the simulation analysis of the prediction results, we propose the direction of industrial ecological structure adjustment and the path of industrial ecological system construction.

The Impact of Construction Industry Structure Optimization on the Economy of Metropolitan Area - Taking Hefei and Nanjing Metropolitan Area as Examples

This research selected Hefei and Nanjing metropolitan area as the research object to analyze the optimization of construction industry structure in Hefei and Nanjing metropolitan area in 2018. Firstly, the construction industry structure rationalization analysis, heightened analysis, specialization analysis and similarity analysis were conducted for Hefei and Nanjing metropolitan areas, then the theory of construction industry structure optimization analysis was derived for Hefei and Nanjing metropolitan areas, and then ArcGIS technology was used to draw the spatial distribution map of construction industry structure in the two metropolitan areas to provide theoretical support for industrial structure optimization and high-quality construction of Hefei metropolitan area. Finally, the analysis concluded that in the process of synergistic development, the Hefei metropolitan area should focus on strengthening the synergistic development with Nanjing metropolitan area, so that the Yangtze River Delta region can achieve the optimization of economic structure preferably, advanced industrial base and modernization of industrial chain, and enhance the coordination of urban and rural regional development, thus making significant progress in the construction of modernized economic system.

Research on the Development of Accounting Internal Audit System of Listed Companies

<p>With the rapid development of China’s market economy, listed companies are the backbone of China’s national economic growth and economic structure optimization, and they promote the continuous development of China’s economy. However, in order to better adapt to the development needs of today’s society and the needs of social and economic system construction, China’s listed companies have begun to effectively adjust their internal management systems, especially most of them have started to adjust their financial management systems in detail. This paper analyzes the problems existing in the internal audit of listed companies in China, and puts forward corresponding countermeasures.</p>

Economic Efficiency Measurement and Structural Optimization of New Marine Industry

Zhu, X.J., 2020. Economic efficiency measurement and structural optimization of new marine industry. In: Al-Tarawneh, O. and Megahed, A. (eds.), Recent Developments of Port, Marine, and Ocean Engineering. Journal of Coastal Research, Special Issue No. 110, pp. 141–145. Coconut Creek (Florida), ISSN 0749-0208.For both the regional economy and the national economy, it's of great significance to effectively adjust and optimize the structure of the marine industry, improve the economic efficiency of the marine industry, and increase the contribution of the marine economy. To this end, this paper selects 7 coastal provinces and cities in China as the subjects to analyze the economic efficiency of the new marine industry and the optimization of the structure of marine industry based on Data Envelopment Analysis (DEA) and the Malmquist index. The research results show that China's marine economy has developed rapidly in recent years; within the scope of the marine industry, the growth rate of the primary industry is relatively stable, and the proportion of the tertiary industry is increasing year by year; the main reason for the increase in the production efficiency of the new marine industry in coastal areas is the increase in technical efficiency; among the 7 coastal provinces and cities, the increase of the production efficiency of the new marine industry in Fujian Province is the highest. At last, this paper also proposes a few countermeasures and suggestions for the optimization of the structure of marine industry. The research results have important reference value and significance for strengthening the regional marine economy and the economy of the entire country.

山东省临沂市经济空间结构演变及优化

山东省临沂市经济空间结构演变及优化

Structural analysis of income and risk dynamics in models of economic growth

The purpose of the research is to carry out the structural analysis of income and risk dynamics when considering the problem of economic growth, to obtain and apply the structural formula to assess the contribution of GDP elements to growth rate. The methodological basis of the research consists of the theory of economic growth and structural analysis, optimization methods and computer simulation (algorithmization) models of maximizing income and minimizing the total risk of N objects of the economic system. The implementation of the two stages of the research allowed us to establish that for the Russian economy the main contribution to the growth rate in the period 2003–2018 was made by gross consumption, but not by investment spending. The result of computer simulation of optimization models—maximizing income and minimizing risk is that the solution to the problem of structural choice can be an assessment of the dynamics of income and risk at a characteristic point in which different resource allocation structures give the same combination of income and risk. However, the growth rate of income and risk in the characteristic point will certainly be different, and the most acceptable option is to choose the structure that gives a positive growth rate of income and a negative growth rate of risk. This circumstance makes a significant addition to the developed macroeconomic and structural policy measures, which should be oriented not only to some static targets, but also to the impact on the dynamics of the relevant aggregated parameters—income and risk.

Optimización metaheurística de conjuntos estructurales de hormigón armado

En este articulo se presenta la optimizacion estructural economica del proyecto Casa Sindico utilizando un algoritmo programado mediante las funciones CSi API SAP2000v19-MATLAB R2015a, aplicando tecnicas metaheuristicas: Algoritmos Geneticos (GA) y Optimizacion por Enjambre de Particulas (PSO), ademas de una hibridacion entre estas. Los resultados muestran que PSO presenta un mejor comportamiento que GA para este tipo de optimizacion, aunque ambos, trabajando con sus metodologias simples, no resultan del todo eficiente, lo cual se comprueba al crear y aplicar una hibridacion entre los dos, utilizando GA para crear un enjambre inicial para que PSO realice el proceso de optimizacion, obteniendose resultados hasta un 10 % mejores. En cuanto a los resultados estructurales, se obtiene un costo directo de construccion un 13 % mas economico al aplicar la metodologia propuesta, quedando, para las vigas, peraltos de relacion L/h entre 15 y 17.5, para las columnas, el uso de secciones con rectangularidades de hasta 1.35, en la direccion que ocurre mas flexion, algo parecido a lo que ocurre para los cimientos, donde la rectangularidad de estos sigue el criterio anterior, obteniendose valores de hasta 1.4

Research on Provincial Energy and Electricity Planning Method under the Situation of High-quality Economic Development

In the context of high-quality economic development, more factors should be taken into account in energy and power planning methods to make the planning more scientific and rational. This paper constructs a provincial energy planning model based on carbon emission reduction and comprehensive comparison of multi-regional electricity input. Considering the economic structure optimization and energy structure cleaner, and the constraints of carbon emission reduction, environmental pollution reduction, water resources, coal productivity and transportation capacity, the model expands and optimizes the provincial energy planning methodology, providing methodological reference for provincial energy planning.

Grey Correlation Analysis of the Factors Influencing the Construction of Agricultural Products Logistics System in Ningxia

On the basis of analyzing the current situation of the construction of agricultural products logistics system in Ningxia, this paper finds out the various problems and influencing factors in the system construction, and then uses the gray correlation analysis method to sort the influence factors. The paper finds that the amount of the fixed assets investment in transportation, storage and postal industry and the purchase quantity of urban residents' agricultural products are the main influence factors. Suggestions are put forward to strengthen road planning, improve facilities and equipment and integrate the logistics demand of agricultural products in order to provide reference for the construction of agricultural products logistics system in Ningxia, and try hard to contribute to the optimization of agricultural product economic structure.

How to achieve the dual-control targets of China's CO2 emission reduction in 2030? Future trends and prospective decomposition

Environmental problems are escalating with rapid economic development; the Chinese government actively follows a low-carbon development pattern and has made CO2 emissions reduction commitments for 2030. In the future, how to realize the 2030 CO2 emissions peak target and intensity reduction target has become an urgent problem for China to solve. This study aims to predict China's CO2 emissions trends by 2030 under different scenarios and to calculate the reduction potential of each sector and the impact factors separately. A comprehensive forecasting model was developed in this study based on the Kaya identity, Log-Mean Decomposition Index (LMDI) model and Scenario Analysis methods. According to this model, China's CO2 emissions will grow to 112.89 million tons in 2030 but not reach its peak under the target scenario (TS), while the CO2 emissions intensity will be 0.40 ton per 10,000 RMB, achieving the “Paris Commitment” for CO2 intensity reduction targets. In terms of emissions reduction factors, such as economic growth, energy technology progress and energy structure optimization are the main factors to achieve CO2 reduction targets, with the annual average mitigation potential of 8.83 million tons, 9.41 million tons and 5.80 million tons, respectively. In terms of China's six economic sectors, the 2nd sector(industrial sector) will have the largest reduction potential during 2016–2030, with an average annual reduction of 23.24 million tons, while the reduction from energy technology advancements contributes the most, followed by economic growth and energy structure optimization, with the annual average reduction rate of 44.35%, 30.92% and 19.64%, respectively. The key pathways for reducing China's CO2 emissions in the future are to adjust the economic development model in the 2nd, 4th, and 6th sectors, to improve the energy efficiency of the 2nd sector, and to optimize the energy consumption structure of the 1st, 2nd, and 6th sectors. Finally, we suggest that China should construct mutually compatible mitigation policies networks and focus on the superposition effect of various subsystem policy objectives to realize the "Paris commitment" for China's 2030 CO2 mitigation targets.