scholarly journals Evaluation of Rural Tourism Spatial Pattern Based on Multifactor-Weighted Neural Network Algorithm Model in Big Data Era

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Qiang Xu
Keyword(s):  
Neural Network ◽  
Sustainable Development ◽  
Spatial Pattern ◽  
Rapid Development ◽  
Back Propagation ◽  
Evaluation Index System ◽  
Rural Tourism ◽  
Tourism Destination ◽  
Primary Industry ◽  
The Sustainable Development

In recent years, due to the rapid development of rural tourism, rural tourism has lost its unique rurality, which has led to a certain impact on the sustainable development of rural tourism. Primarily, based on the rural characteristics, the social environment development, population development, and economic development are taken as the research indexes, and the evaluation index system of rural tourism destination is constructed. Afterward, an empirical study on the spatial pattern of rural tourism is carried out with examples, and the model is simulated and analyzed by MATLAB software. Finally, the spatial autocorrelation method is used to analyze the evolution characteristics of the rural tourism spatial pattern. The results show that through the analysis of the evaluation error curve of the Back Propagation Neural Network (BPNN), the evaluation error and the actual error range are within 0.08%, which proves that the BPNN algorithm has good calculation accuracy. The BPNN rural tourism destination rurality evaluation model established here can make an effective evaluation of rural tourism space. The results show that the proportion of employees in the primary industry and the penetration rate of mobile phones are the decisive factors in the adjustment of industrial structure and social environmental factors, respectively. Rural per capita tourism income and the proportion of primary industry output value will also have a certain impact on rural evolution. Certain guiding significance is provided for the sustainable development of rural tourism.

scholarly journals Emergy-Based Assessment and Suggestions for Sustainable Development of Regional Ecological Economy: A Case Study of Anhui Province, China

2021 ◽  
Vol 13 (5) ◽  
pp. 2988
Author(s):  
Cui Wang ◽  
Yingyan Zhang ◽  
Conghu Liu ◽  
Fagang Hu ◽  
Shuling Zhou ◽  
...  
Keyword(s):  
Sustainable Development ◽  
Economic Development ◽  
Regional Economy ◽  
Evaluation Method ◽  
Rapid Development ◽  
Anhui Province ◽  
Evaluation Index System ◽  
Practical Significance ◽  
Environmental Friendliness ◽  
The Sustainable Development

In view of the coordination of economy, society, and environment in the process of the rapid development of the regional economy, this study proposes the evaluation method of sustainable development of a regional economy on the basis of emergy. The study also constructed an evaluation index system of sustainable development of regional ecological economy from four aspects, namely, structural, functional, and ecological efficiency, and sustainable development index. The objective was to comprehensively evaluate the quality and environmental friendliness of regional economic development. On this basis, this study measured and evaluated the sustainable development of the ecological economy in Anhui Province by using emergy to analyze the statistical data of the economic development of Anhui Province, China, from 2010 to 2018. The study also provides targeted decision-making suggestions for the sustainable and high-quality development of the Anhui economy. Furthermore, this study provides a measure and evaluation method for the sustainable development of the regional economy and effective policy recommendations, which have important theoretical and practical significance.

Evaluation of the Sustainable Development of the Energy and Chemical Industry Base in Northern Shaanxi

2013 ◽  
Vol 361-363 ◽  
pp. 145-151
Author(s):  
Shan Hua
Keyword(s):  
Sustainable Development ◽  
Chemical Industry ◽  
Statistical Data ◽  
Evaluation Index System ◽  
Economic Resource ◽  
The Sustainable Development ◽  
Existing Problems ◽  
Environmental Status ◽  
Northern Shaanxi ◽  
Resource And Environment

The sustainable development of the northern Shaanxi area has been severely restricted by the increasingly serious issue of the environmental pollution and ecological destruction in the energy and chemical industry base there. This paper, based on the thorough analysis to the investigation data about the environmental status and the existing problems of energy and chemical industry base in northern Shaanxi, construct evaluation index system of the base sustainable development. The paper evaluated comprehensively the level of sustainable development in energy and chemical industry base in Northern Shaanxi based on statistical data in past years. It reveals the contradiction and the plight of economic, resource and environment in the process of current base, and shows the urgent problems which must be solved in the future.

scholarly journals Rural Tourism within the Sustainable Development Goals: the Case of Ukraine

2021 ◽  
Vol 95 ◽  
pp. 01004
Author(s):  
Hanna Shevchenko ◽  
Mykola Petrushenko
Keyword(s):  
Sustainable Development ◽  
Sustainable Development Goals ◽  
Value Added ◽  
Graphical Analysis ◽  
Rural Tourism ◽  
Inclusive Development ◽  
The Sustainable Development ◽  
Green Tourism ◽  
Development Goals

Research background: rural tourism is an economic and environmental activity that fits harmoniously into the concept of sustainable and inclusive development. In Ukraine, it is called rural green tourism, but in practice not all aspects of it can meet the Sustainable Development Goals 2030. Purpose of the article: to analyze the relationship between the structures of the rural tourism goals and the SDGs, to demonstrate the evolution, possibilities of the development on the example of Ukraine’s rural tourism, especially in the framework of the European Green Deal. Methods: factor analysis – when studying the structure of the rural tourism goals and the factors that affect it, as well as when comparing it with the structure of other sustainable activities; elements of graph theory – in the graphical analysis of the Sustainable Development Goals decomposition in their projection into the plane of rural tourism. Findings & Value added: the structure of the rural green tourism goals in Ukraine have been harmonized with the Sustainable Development Goals 2030. Sustainability factors have been identified that allow the tourism and recreation sphere in the medium and long term perspective not only to form a competitive market for relevant services, but also to serve as an important component of the inclusive development. Factors of tourism sphere transformation due to the coronavirus pandemic are taken into consideration. The concept of the phased programming in sphere of rural tourism in Ukraine within the framework of the European Green Deal 2030 and 2050 has been improved.

scholarly journals Evaluation of Sustainable Development of Tourism Cities Based on SDGs and Tourism Competitiveness Index: Analysis of 221 Prefecture-Level Cities in China

2021 ◽  
Vol 13 (22) ◽  
pp. 12338
Author(s):  
Junli Gao ◽  
Chaofeng Shao ◽  
Sihan Chen ◽  
Zizhang Wei
Keyword(s):  
Sustainable Development ◽  
Yellow River ◽  
Evaluation Index System ◽  
Cultural Resources ◽  
The Sustainable Development ◽  
Development Level ◽  
Protection Systems ◽  
Competitiveness Index ◽  
Development Paths ◽  
Economic Zones

Based on the Sustainable Development Goals and competitiveness index, an evaluation index system for sustainable development of tourism cities was established. The sustainable development level of 221 outstanding tourism cities in 2018 was evaluated, and their sustainable development paths were designed accordingly. The results show the following: (1) There is a large gap in sustainable development scores. In general, no city has achieved a strong sustainable development model. Natural and cultural resources and protection systems are the shortcomings of the systems. (2) The weights of natural and cultural resources and protection systems are the largest, and the weights of natural and cultural resources endowment, degree of tourism infrastructure construction, and economic support for natural and cultural resources are larger. Nature reserve coverage index, network popularity, and other indicators have greater weight. (3) There is a gap in the sustainable development level of tourism cities in the eight comprehensive economic zones. The economic zones in the eastern and southern coastal areas are better than those in the northwest and the middle reaches of the Yellow River. (4) The driving factors of the eight types of tourism cities distinguished by their characteristics are basically the same, but the obstacles are different.

The role of marketing philosophy in rural tourism development

2012 ◽  
Vol 18 (2) ◽  
pp. 267-279
Author(s):  
Božo Mihailović ◽  
Ilija Moric
Keyword(s):  
Sustainable Development ◽  
Profit Maximization ◽  
Tourism Development ◽  
Rural Tourism ◽  
Primary Data ◽  
Special Focus ◽  
The Sustainable Development ◽  
Spatial Redistribution ◽  
Business Approach

The purpose – The purpose of this paper is to research the role of marketing concept in the process of the sustainable rural tourism development. Design – The special focus is given to analysis of the factors that influence the implementation of marketing philosophy in tourism and its specifics in area of rural tourism. Methodology – Using available secondary and primary data from government bodies and relevant international organisations, several factors are identified that affect the implementation of marketing philosophy in area of rural tourism. Followed by qualitative analysis, these factors are analyses in details in order to provide the ideas for future development.The development of information technology, competition and growth in its global character, the new buyer and the need for sustainable development are just some of the factors that determine a new way of keeping the rural tourism business. Approach – Implementation of marketing philosophy in rural tourism is examined on the level of tourist destination, due to importance of cooperation and coordination on this macro level for the sustainable development of the rural tourism. Findings – Key findings indicate that marketing in rural tourism should be seen as a means to achieve development of strategic goals of rural tourist destinations, such as: long-term prosperity, guest satisfaction, profit maximization, extension of the tourist season, neutralizing the negative social impacts, stabilization of employment, support and further diversification of existing economic activity, temporal and spatial redistribution of tourist demand etc. Therefore, marketing cannot be understood simply as propaganda or simply as printing leaflets, but as a platform for defining business objectives and strategies, and creation of tourist products which deliver unique experience to consumers and generate profit for rural tourism destination. The originality of this research – The originality comes from the analysis of the specifics of marketing implementation in rural tourism.

scholarly journals Evaluating the Investment Climate for China’s Cross-Border E-Commerce: The Application of Back Propagation Neural Network

Information ◽  
2020 ◽  
Vol 11 (11) ◽  
pp. 526
Author(s):  
Yi Lei ◽  
Xiaodong Qiu
Keyword(s):  
Neural Network ◽  
Index System ◽  
Evaluation System ◽  
Back Propagation ◽  
Back Propagation Neural Network ◽  
Entropy Method ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Investment Climate ◽  
Cross Border

China’s cross-border e-commerce will usher in a new golden age of development. Based on seven countries which include the Russian Federation, Mongolia, Ukraine, Kazakhstan, Tajikistan, Kyrgyzstan and Belarus along the “Belt and Road”, an evaluation system for cross-border e-commerce investment climate indicators is established in this study. This research applied the entropy method twice to evaluate the investment climate of seven countries based on 5 years panel data comprehensively and these countries are then classified into politics-oriented and industry-oriented countries, and then the weight of indicators for each category is analyzed. In addition, cross-border e-commerce investors are proposed to prioritize industry-oriented countries. Back propagation neural network algorithm is used to map the existing data and optimize the evaluation index system in combination with the genetic algorithm. This research denotes the effort to find out the index evaluation combination corresponding to the best overall score, make the established evaluation index system applicable to other countries, and provide reference for cross-border e-commerce investors when evaluating the investment climate in each country. This study provides the important practical implications in the sustainable development of China’s cross-border e-commerce environment.

Using an artificial neural network for estimating sustainable development goals index

2020 ◽  
Vol 31 (4) ◽  
pp. 1023-1037 ◽  
Author(s):  
Seyed-Hadi Mirghaderi
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Artificial Neural Network ◽  
Sustainable Development ◽  
Artificial Neural Networks ◽  
Sustainable Development Goals ◽  
Content Type ◽  
The Sustainable Development ◽  
Development Goals ◽  
Artificial Neural

PurposeThis paper aims to develop a simple model for estimating sustainable development goals index using the capabilities of artificial neural networks.Design/methodology/approachSustainable development has three pillars, including social, economic and environmental pillars. Three clusters corresponding to the three pillars were created by extracting sub-indices of three 2018 global reports and performing cluster analysis on the correlation matrix of sub-indices. By setting the sustainable development goals index as the target variable and selecting one indicator from each cluster as input variables, 20 artificial neural networks were run 30 times.FindingsArtificial neural networks with seven nodes in one hidden layer can estimate sustainable development goals index by using just three inputs, including ecosystem vitality, human capital and gross national income per capita. There is an excellent similarity (>95%) between the results of the artificial neural network and the sustainable development goals index.Practical implicationsInstead of calculating 232 indicators for determining the value of sustainable development goals index, it is possible to use only three sub-indices, but missing 5% of precision, by using the proposed artificial neural network model.Originality/valueThe study provides additional information on the estimating of sustainable development and proposes a new simple method for estimating the sustainable development goals index. It just uses three sub-indices, which can be retrieved from three global reports.

scholarly journals Evaluating the Power Grid Investment Behavior in China: From the Perspective of Government Supervision

Energies ◽  
2019 ◽  
Vol 12 (21) ◽  
pp. 4192
Author(s):  
Yanbin Li ◽  
Feng Zhang ◽  
Yun Li ◽  
Bingkang Li ◽  
Zhen Li
Keyword(s):  
Sustainable Development ◽  
Power System ◽  
Power Grid ◽  
Power Industry ◽  
Evaluation Index System ◽  
Investment Behavior ◽  
System Reform ◽  
The Sustainable Development ◽  
Government Supervision ◽  
The Government

Power grid investment behavior (PGIB) is a necessary prerequisite to ensure safe and reliable power supply. The supervision of PGIB is an important measure to reduce electricity price. It helps to release the dividends of the new power system reform and promote the sustainable development of the power industry. However, for a long time, China’s regulation of PGIB was relatively weak, lacking clear supervision awareness and effective supervision methods. On the basis of clarifying the contents of PGIB supervision, this paper establishes an evaluation index system for the compliance of PGIB from the government supervision perspective, involving four dimensions and 14 secondary indicators. Furthermore, a hybrid evaluation model based on the combined decision-making trial and evaluation laboratory method (DEMATEL-ANP), analytical network process method, and vague set is proposed. The results reveal that the control over cost and efficiency of the PGIB in China is not enough. According to the results, this paper puts forward the indicators that close attention should be paid to and the work priorities in China’s supervision of PGIB, which has certain practical value for the implementation of new power system reform and the sustainable development of Chinese power industry.

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