Economic Growth Point Research Articles

Analysis of the Effect of Urban Residents’ Sports Consumption on GDP Growth Based on Deep Learning

Nowadays, emerging industries are emerging, and the sports industry has become a remarkable new economic growth point. Vigorously tapping the potential of residents' sports consumption has important theoretical and practical significance for promoting the development of the sports industry, improving people's living standards, and stimulating economic growth. In this paper, a deep learning model is constructed, and the random forest and random network models in the deep learning network are used to analyze the pulling effect of urban residents' sports consumption on economic growth. Since the consumption level of urban residents is much higher than that of rural residents, urban residents are in a dominant position in sports consumption, so this paper takes urban residents' sports consumption as the core to explore the pulling effect of urban residents' sports consumption on economic growth. The research theme of this paper is the pulling effect of urban residents' sports consumption on economic growth, so this paper sets the explanatory variable as the added value of GDP, expressed by GDP. Sports consumption has the characteristics of inevitability, gradualness, and diversity. With the continuous change of people's living standards, sports consumption also presents several stages of relative consumption pattern changes. Research shows that sports consumption has a positive role in promoting economic growth and the transformation and upgrading of economic development mode. Every one percentage point change in sports consumption leads to an economic growth of 0.186 percentage points, and with the increase of the lag period, urban residents' sports consumption will gradually increase the driving effect of economic growth. This effect can be analyzed at the micro- and macrolevels and enhanced by a causal cumulative cycle mechanism.

Research on key indicators of China’s low carbon industry development competitiveness

Nowadays, with global warming and frequent natural disasters, in order to reduce the occurrence of such problems, the world has improved new industrial models. China seeks new economic growth points, and low-carbon industries also emerge as the times require. The competition of low-carbon industries is bound to become the competition of the future economy. Objectively evaluating the key indicators of low-carbon industry development competitiveness is of great significance to the competition and development of low-carbon industries. Based on the questionnaire data of 295 various industries and governments, this study uses principal component analysis (PCA) to construct a comprehensive competitiveness model to evaluate the key factors of low-carbon industry development competitiveness. The results show that there are 6 key factors in the competitiveness of low-carbon industries, and they are ranked according to their weights, namely: opportunities and industry support factors (24.52%), production factors (23.52%), ecological factors (18.17%), government factors (15.32%), demand conditions (9.67%), and corporate strategic factors (8.79%). This shows that industrial support factors, enterprise’s own production factors, and ecological factors are all very critical to the development of low-carbon industries, and the input of these key elements should be further strengthened to improve the competitiveness of low-carbon industry development.

Spatial Characteristics of Sports Tourism Destination System Based on Data Fusion and Data Mining

With the development of information technology around the world, the research on the integration of data mining and data fusion is becoming more and more in-depth. In recent years, sports tourism has developed better and better, with the growing demand for tourism, and the tourism industry has developed by leaps and bounds. Tourism is a new economic growth point in many regions. But it also faces many challenges from both internal and external sources. The tourism destination system is an extremely important subsystem in the tourism system. The quality of its spatial structure not only affects the quality of tourism activities, but also affects the effective operation of the tourism function of the destination system. This paper studies the spatial characteristics of sports tourism destination system based on data fusion and data mining technology. The external environment of sports tourism development, the distribution of sports tourism resources, and the spatial structure of sports tourism are deeply studied by using Gini coefficient, nearest neighbor index, and other technical methods. A questionnaire was also designed to study the physical activity preferences of different age groups. The results show that the nearest neighbor index R of fitness sports tourism destinations is less than 1, which is in a clustered distribution state. The main group of sports tourism activities is mainly concentrated in the age group of 16–45.

Evaluating the efficiency of municipal solid waste collection and disposal in the Yangtze River Delta of China: A DEA-model

ABSTRACT As the “sixth largest city group in the world”, the Yangtze River Delta region is an important economic growth point and core economic area in China. While achieving rapid economic growth, the amount of waste generated is increasing day by day, and the investment in environmental protection is constantly increasing. Among them, MSW collection and disposal funds accounted for 57.40% of the fixed assets investment in environmental sanitation in 2017. To improve the efficiency of existing environmental protection investment, this paper is based on the existing academic research at China and abroad, with the help of the Data Envelopment Analysis (DEA) model. This paper analyzed the economic indicators of 27 cities in the Yangtze River Delta for MSW collection, transportation and disposal to measure economic efficiency, identify and improve inefficiencies. The research results show that the average efficiency of the 27 cities in the Yangtze River Delta is at a relatively high level. Six cities have the most effective comprehensive technical efficiency. These six cities constitute the effective frontier of the municipal solid waste transfer system. The overall efficiency has a comparative advantage; 9 cities have the best pure technical efficiency, accounting for 33 of all cities. %, the pure technical efficiency of the remaining 18 cities is low, indicating that these cities have not fully utilized their resource input under the current scale, and the efficiency of resource utilization needs to be improved. Finally, this paper proposes suggestions for improvement from the perspective of environmental sustainability. To improve MSW collection and disposal efficiency, differentiated management should be implemented in cities in the Yangtze River Delta. Implications: This paper conducts an empirical analysis on the efficiency of MSW collection and disposal in the Yangtze River Delta in China in 2017. Based on the calculation of the DEA model, our conclusion is that although the collection and disposal system of MSW in the Yangtze River Delta has been significantly improved, the level of collection and disposal of some MSW has not reached the optimal level: (1) Comprehensive technical efficiency is the most effective Cities accounted for 22% of the total number of cities studied. (2) 33% of the cities in the Yangtze River Delta achieve the best pure technical efficiency; (3) Among the 27 cities, 6 cities have the best scale efficiency, and the remaining 21 cities have not reached the best scale efficiency.

Implementation of state transport policy: regional aspect

The implementation of the transport strategy is based on the general principles of federal relations and takes into account the peculiarities of social-economic development and transport needs of individual regions of the country. The regional aspects of the transport system of Russia development are directly related to the creation of a network of competitive innovation clusters, new regional centers of economic development, also in the Russian Far East. The tasks of the transport complex development common for Russia, depending on the specific conditions of the social-economic development of the regions, have their own specifics, focus and priorities, which are taken into account when developing the priorities of the state transport policy. The main problem is that it is necessary to form an active position of the state at the new stage of development of the country economy to create the conditions for social-economic development, primarily to improve the quality of transport services, reduce the total costs of society that depend on transport, and increase the competitiveness of the domestic transport system, strengthening the innovative, social and environmental orientation of the transport industry development. At the same time, transport as a backbone element of the economy and investment and innovation demand generator for products should be considered as an independent point of economic growth. The purpose of the article is to analyze the implementation of the state transport policy on the Primorsky Territory within the framework of the activities by the Ministry of Transport and Roads of the Primorsky Territory and to identify the main problems and prospects for the development of transport policy main trends in the specified subject of the Russian Federation.

Evaluation Model of Tourism-Driven Real Estate Economic Growth Point Based on AHP

The economy of real estate is intimately connected to people’s quality of life, living standards, and living situations, all of which are extremely important in economic life. In order to better understand the impact of tourism-driven real estate on economic growth, based on AHP, this paper establishes an evaluation model of tourism-driven real estate economic growth. Based on the influencing factors of tourism real estate development, the evaluation model is built in this study of the tourism real estate development model by AHP and determines the optimal model according to the evaluation results. Through the application of the AHP model, the effect of real estate regulation policy is evaluated. The housing prices are affected not only by the influencing factors of housing prices in the pressure indicators, but also by real estate control policies. The model can effectively assess the economic growth point of real estate, propose real estate-specific guiding alternatives for economic growth and development, and ensure that the real estate market develops in a healthy and orderly manner.

Research on the Development Countermeasures of Cross-border E-commerce in Zhejiang Province

With the rapid popularization of the Internet and the mature development of the e-commerce industry, cross-border e-commerce has become a new economic growth point in Zhejiang Province. In recent years, Zhejiang Province has vigorously promoted the development of cross-border e-commerce, and with its unique geographical advantages and excellent policy support, cross-border e-commerce has developed rapidly, and the development level of cross-border e-commerce ranks among the top in the country. Based on the existing problems in the development of cross-border e-commerce in Zhejiang Province, this paper puts forward targeted suggestions to promote the further development of cross-border e-commerce in Zhejiang Province.

The effects of energy price, spatial spillover of CO2 emissions, and economic freedom on CO2 emissions in Europe: a spatial econometrics approach.

Since the European Union (EU)'s current goal of making its continent the world's first climate-neutral continent by 2050, the EU will need to set a path for new policies in the areas of Europe's economy, energy consumption, and agriculture. Thus, this paper analyzes the marginal impact of energy price and economic freedom on Europe's CO2 emissions grounded on the extended Stochastic Impacts by Regression on Population, Affluence and Technology ecology (STIRPAT) model together with the spatial econometric models. The results indicate the existence of spatial spillover effect of CO2 emissions among some countries in Europe. The Hausman test was also performed to select the best model between the random effects and the fixed effects. The findings suggest that increasing both economic freedom and energy price in a local country turns to reduce the country's own CO2 emissions and also reduces the emissions of its adjacent countries. Comparing the direct effect of economic freedom and energy price to that of the SDM fixed effect, a feedback of 12.77% and 23.53% of the direct effect was observed, respectively. The results also indicated that the turning point of economic freedom and economic growth was 6.714 and thus 9.083. Overall, the study spotlighted some policy suggestions for the energy market for the European commission in reducing the emissions of CO2.

Applying the Investment Multiplier to Identify Key Points of Economic Growth

The crisis phenomena irregularity due to the COVID-19 pandemic requires new, to a certain extent, non-routine tools for their settlement, namely the action effect enhancers of the state and private investors to develop the economy in conditions of shrinking volumes of available financial resources. The paper proposes the Investment Multiplier (IM) as such a tool. The author's model was generated based on a detailed description of developing multiplier processes to analyze its action. The study aims to estimate the IM values of the economies of Kurgan, Sverdlovsk, and Chelyabinsk, the most industrially developed Russian regions, and identify the main points of their economic growth. The key research method was regression analysis. The present study establishes interconnectivity between marginal propensity and savings, marginal propensity and imports, marginal tax rate, and investment accelerator, and their influence on the regional multiplier. From a position of investment multiplier, the authors try to narrow the research gap in how investment policies influence the economic growth of the Russian regions. The study results determine IM values for the analyzed regions, identifying their differences and reasons. The key points of economic growth in these regions were identified. The scientific novelty involves applying changes in regional multiplier processes' dynamics to determine the key development points. The practical significance is that the IM value is an analytical tool that will identify existing key points of regional economic development and, by managing the IM value, create new points for investments with a large-scale multiplier effect, thus developing the regional economy. Doi: 10.28991/ESJ-2022-06-02-05 Full Text: PDF

Transformation and Optimization of Rural Ecological Endowment Industry Chain Based on Constrained Clustering Algorithm

China is experiencing a serious aging crisis, with the number of elderly people rising at an unprecedented rate. First and foremost, the pension industry's service object is the pension. To build an old-age industry complex, make use of the unique natural resources in the countryside, provide the original ecological old-age care services, and transform, optimize, and make efficient use of the existing policies and technologies. The drawbacks of the traditional pension model are becoming increasingly apparent. We must investigate a new pension model in order to ensure the long-term development of China's pension system and reduce the increased pension burden on governments at all levels. The rural areas' unique natural resources should be utilized to provide unique ecological elderly care services, and transformation and optimization must be implemented (that is, making efficient use of existing policies and technology to construct an elderly care industry complex). As a new pension mode for the elderly to become more connected to the natural world and improve their physical and mental health, ecological pensions have emerged as a new economic growth point that can fill the gap in the pension industry's supply while also meeting the elderly's growing spiritual and cultural needs. A constrained clustering algorithm is proposed in this article. Unsupervised learning is used in the constrained clustering algorithm. The clustering algorithm must determine the data objects to be clustered because they are not labeled. Because the data objects have no prior knowledge, the clustering algorithm analyzes them using the same principles. The effectiveness of the clustering results is determined by the dataset's adherence to the previously stated principles. The constrained clustering algorithm has greatly improved the transformation and optimization of the rural ecological elderly care industrial chain.

ТРАНСПОРТНАЯ СЕТЬ РЕСПУБЛИКИ БАШКОРТОСТАН КАК ОСНОВА ДЛЯ СОЗДАНИЯ КАРБОНОВЫХ ПОЛИГОНОВ С ЦЕЛЬЮ ПРОИЗВОДСТВА ИСКУССТВЕННЫХ УГЛЕВОДОРОДОВ

This study presents the prerequisites for the development of artificial hydrocarbons on the territory of the Republic of Bashkortostan. The reduction of proven oil reserves, the high cost of hydrocarbons in the market, as well as climate change contribute to the development of renewable energy sources. Thus, in the world, biodiesel production in the United States occupies a leading position after Europe. However, insufficient attention is paid to this production in the Russian Federation. The polarization of petrochemical and oil refining enterprises, especially the fuel sector, may face a short supply of traditional hydrocarbon raw materials – oil in the future, which may lead to a socio-economic decline in the life of the population of this territory. Such territories of the Russian Federation include the Republic of Bashkortostan. At the same time, a developed logistics transport network can contribute to the development of renewable energy sources, which contributes not only to the continuation of the life cycle of petrochemical and oil refining enterprises, but also to the activation of regions' economic growth points. The article provides a detailed analysis of motor transport and railway routes in the region, which shows that the uniformity of the growth of socio-economic development directly depends on the infrastructure, primarily cargo transportation along transport routes. In the article, the author suggests that for the rapid socio-economic development of the territory of the Republic of Bashkortostan, it is necessary to fully use not only roads and railways, but also the water transport system of the region. So, if examples of creating experimental polygons for the production of artificial hydrocarbons in Buraevsky, Mishkinsky, Baltachevsky, Tatyshlinsky, Yanaulsky, Kaltasinsky regions of the Republic of Bashkortostan were chosen, then the river route can be considered as an effective way for transporting finished products. In addition, in the Askinsky district of the republic, the operation of the oil processing plant of the Oleokemix company was successfully introduced, the goal of which is to become a leader in the republic in terms of crops, a high degree of sharpness of rapeseed oil in Russia. Therefore, the development of a transport network, experimental sites for the production of artificial hydrocarbons in the northwestern direction of the Republic of Bashkortostan, intensive development of industrial energy sources, including biofuels.

Reflections and Research on the Development Strategy of Red Tourism Development in Guangdong, Hong Kong and Macao Bay Area under Regional Tourism Integration - Taking Red Tourism Resources of Zhuhai City as an Example

In this paper, based on the analysis of the current situation of regional tourism integration in China, we have studied the red tourism resources of Zhuhai in the Guangdong-Hong Kong-Macao Greater Bay Area. From the background of the trend of regional tourism integration, we analyze the advantages and problems of red tourism in Zhuhai and reflect on them one by one, and make an outlook on the future development of red tourism industry in Zhuhai through field study mainly online collection of information. We will start to break the operation mode of traditional red tourism, let red tourism take advantage of the era of regional tourism integration, carry out supply-side structural reform, deepen transformation and upgrading, extend the industrial chain, implement the concept of coordinated development, and give new life to create new economic growth points.

Детерминанты привлечения инвестиций в точки роста экономики Дальнего Востока России

Due to the sanctions imposed by foreign states, modern Russian economy greatly depends on the economy of the Far East characterised by the formation and stimulation of investment in the territories of advanced development (TADs). However, at the present stage, economic growth measures are not working effectively in all Far Eastern regions. The article presents the results of an analysis of factors shaping the investment attractiveness of the territories of advanced development established in the Russian Far East. The study examines regional socio-economic indicators, accounting statements of residents and non-financial information on business reputation of enterprises. Since territories of advanced development are considered economic growth points of the Russian Far East, the research aims to identify relevant patterns and rank TADs according to the importance of the factors of investment potential and risks. To this end, the methods of econometric analysis and modelling were applied. The developed methodology for assessing investment attractiveness includes indicators adapted for TADs, component factor analysis and modelling. Based on the analysis, factor models were constructed and the factors were grouped according to their impact on the investment potential and risks of the territories of advanced development of the Far Eastern Federal District. The obtained results indicate that the initial development stage of economic growth points is characterised by various financial and social problems, insufficient investment and uneven distribution of investments to ensure advanced economic growth. The established factor models explain the importance of creating a favourable investment environment, attracting investments for the construction of infrastructure, increasing the efficiency of resource potential in the Far Eastern regions. Factors of the internal business environment of residents — financial condition and the initial stage of enterprise operation from the moment of state registration — are seen as constraining. Priority ranking of factors revealed key directions for improving the mechanism for attracting and distributing investments in the regions. Additionally, it can help coordinate the work of government bodies, development institutions and entrepreneurship and direct business support measures to important areas of territorial development, reducing the impact of constraining factors and risks.

Research on Stock Price Prediction Based on Markov-LSTM Neural Network -Take the New Energy Industry as an Example

With the increasingly close combination of the financial field and the real industry, as a new economic growth point, it is of great significance to study its price fluctuation prediction in the financial stock market. Based on this, we propose a neural network prediction method via Markov chain and LSTM neural network. Then we select three stocks as the research object, K-mean clustering algorithm is used to determine Markov chain’s relative states, K was obtained using the cross validation method. The empirical results show that the new method is better than LSTM neural network in the evaluation indexes of average relative error, a posteriori error, mean square error and small robability error of stock price prediction. This shows that under certain conditions, Markov chain-LSTM neural network can make more accurate prediction of stock price, and is more suitable for systems with high volatility and strong randomness. Finally, we discuss some promotion and improvement methods of Markov chain-LSTM neural network, and put forward relevant suggestions for the high-quality development of new energy industry from the perspective of finance.

Ways to develop small business and private entrepreneurship in the country based on the "Mahallabay" system

Employees of the economic office in each neighborhood are working to fundamentally reform all sectors, increase the employment and income of the neighborhood population, introduce the "mahallabay" work system to solve their problems, and determine the factors affecting the points of economic growth in the regions. And the article talks about the development of this system.

Substantiation of tariffs for using toll roads: socio-economic aspect

The socio-economic development of the region depends on many factors, but the role of transport infrastructure in this process cannot be overestimated. The construction of new roads, airports, and railways is a barometer of the dynamic and successful development of the territory and its economic or political role in the region and the global economic space. Attracting private investment in the construction of roads and their further paid operation raises the most difficult question of justifying tariffs for road users. When resolving this issue, one cannot limit oneself to a commercial approach based on the cost recovery mechanism and marginal profitability, it is necessary to take into account the level of solvency of potential users of the toll road, the socio-economic level of development of the territory where it is supposed to be operated, as well as the presence of potential strategic points of economic growth that can become a trigger for further socio-economic transformations in the region. In this regard, the development of methodological approaches to substantiate tariffs for using toll roads, taking into account external socio-economic factors, is one of the determining conditions for a reasonable decision-making on attracting private and public investments in transport infrastructure facilities.

Региональный анализ цифровой инклюзии на российском рынке С2С

Economy digitalisation creates new market mechanisms and regional development opportunities. In certain circumstances, the C2C (consumer-to-consumer) Internet market can act as a basis for establishing an entrepreneurial culture; subsequently, it can turn into an economic growth point of a region. However, since the entrepreneurial potential of regional digital markets varies, it is crucial to investigate these differences and the reasons for their occurrence. In the present study, the entrepreneurial potential of residents is measured through their digital inclusion in C2C Internet markets. The article analyses and characterises the active sellers of the Avito online classified in Russian regions. The data were collected using the content analysis of ads posted by individuals on the Avito platform (n = 1,597). Correlation and factor analysis were used for interpretation. The conducted analysis showed the following results. First, the study revealed a relationship between regional digitalisation and the size of the group of active sellers: a higher level of digitalisation of a territory (federal district) means that more residents start to actively use Avito for e-commerce. Second, the paper demonstrated the importance of locality, since the number of active sellers among Avito users is bigger in large cities. Third, it was proved that additional opportunities provided by the C2C market are more attractive for women than for men. The obtained findings can be used by authorities planning the regional development, as well as by researchers of the Internet economy describing and analysing the digitalisation processes. Further studies may identify and examine in detail the factors defining digital inclusion in C2C markets of Russian regions.

Modelling an impact of enterprises’ investment activity on the level of a region’s sustainable development using fuzzy logic apparatus

The social and economic component of regional development characterizes the processes that take place with the participation of all subjects of a regional economy, which are aimed at achieving economically feasible results while ensuring stable improvement of the level and quality of life of the population. Theoretical and practical issues related to the interconnection of interests, goals and objectives of the social and economic development of systems of different levels are of great importance. It should be noted that the "points of economic growth" in the region are enterprises located in its territory. The potential of their socio-economic development can be revealed through the synergy of interests of the region and enterprises. The mechanism for achieving this can be modeling an impact of enterprises’ investment activity on the sustainable development of the region. The urgency of enhancing enterprises’ investment activity in the region, in particular – in conditions of growing unsustainable market conditions, is obvious, as ensuring the efficiency of their operation and intensification of investment activity is one of the most important functions not only of each enterprise but also the region and the state in general. In industrial regions, the regional government is interested and ready to assist in the enterprises’ upgrading, as it directly faces a lot of problems associated with their low technological level. The use of outdated technologies, physical and moral depreciation of equipment invariably cause a low level of labor productivity, high costs of manufacturing, its low quality, which leads to a decrease in the competitiveness of enterprises in the region. Such enterprises have a negative impact on the environment. All this together affects the level and quality of life of the population, which is a key indicator of the effectiveness of regional authorities. Thus, it can be noted that in modern conditions the emphasis in the transition to investment and innovation development is naturally shifted to the level of regions. Ensuring balanced social and economic development of regions in dynamic conditions of structural and organizational transformations and uncertainty is an crucial, complex and multifaceted problem, for the effective solution of which it is necessary to use effective means of economic assessment of feasibility, effectiveness and risks of socio-economic transformations, as well as appropriate means of assessments and regulations, which should include tools for indicative management.

Thinking on the Innovation and Reform of Environmental Art Design Teaching under the Background of Market Demand

With the development of modernization and the improvement of people’ s living standards, and there are many new demands in the market as economic growth points, which will be reflected in the field of education after a period of time. In this case, the discipline of environmental art and design has been produced and promoted, but as a new discipline, the discipline of environmental art and design has been widely used. The teaching of environmental art design also needs to carry out in-depth innovation and reform.

Integration Control of Renewable Energy/Hydrogen Energy System Based on Flexible DC Interconnection

Wind/solar complementary for hydrogen production and hydrogen energy utilization have become one of the important directions for clean energy transformation and new economic growth point. This paper proposes a renewable energy/hydrogen energy system based on flexible DC interconnection and its coordinated control technology covering AC/DC voltage source converters and photovoltaic units, DC hydrogen production loads and energy storage devices. First, the typical structure of the renewable energy/ hydrogen energy system with low-voltage flexible DC interconnection is proposed, and the local control strategy of each unit is analysed, including the constant DC voltage control strategy and the constant active power control strategy. Then, coordinated control methods of renewable energy/hydrogen energy under different system operation states are proposed. Finally, a corresponding system simulation model and test platform are built, and then used to simulate and verify the proposed coordinated control method.