[Retracted] Analysis of Spatial and Temporal Differences in China’s Provincial Tourism Economy Based on Parallel Data Model and IoT Applications

Xie, Xin

doi:https://doi.org/10.1155/2022/1431345

Wireless Communications and Mobile Computing

On this page

Abstract Introduction Materials Discussion Data Availability Conflicts of Interest References Copyright Related Articles

Research Article Retraction

!

This article has been Retracted. To view the article details, please click the ‘Retraction’ tab above.

Special Issue

AI-Driven Wireless Energy Harvesting in Massive IoT for 5G and Beyond

View this Special Issue

Research Article | Open Access

Volume 2022 | Article ID 1431345 | https://doi.org/10.1155/2022/1431345

[Retracted] Analysis of Spatial and Temporal Differences in China’s Provincial Tourism Economy Based on Parallel Data Model and IoT Applications

Xin Xie¹

Academic Editor: Hamurabi Gamboa Rosales

Received12 Jul 2022

Revised24 Jul 2022

Accepted11 Aug 2022

Published05 Sept 2022

Abstract

From a temporal perspective, this paper examines the scale, current development, business versatility, and overall work effects of regional the movement business work, taking into account the three-level proportions of the degree of the movement business in the context of the common Internet of Things. From a spatial standpoint, we recognize the adjacent city as the primary investigative unit, take on various markers, and lead an extensive assessment of the territorial improvement of the provincial travel industry work through even and vertical correlations. This paper utilizes numerous direct relapse examinations to set up the connection between the advancement level of the district of the travel industry economy and the impacting factors; arranged by size of impact, they are the travel industry asset gift, area traffic conditions, and monetary turn of events. Utilizing a blend of a solitary pointer and various markers, the area of the travel industry economy is assessed and dissected for contrasts in existence. We select the absolute travel industry income as a pointer and use strategies like reach. To assess the time difference of the movement of the business economy in each location, standard deviation, coefficient of assortment, and coefficient were used. To examine the data, we use the Granger causality test and several methodology components influencing the travel industry work nearby and the development mode. Through the foundation of a primary model of the travel industry work development element framework, causality test and different strategies are taken on to examine the provincial travel industry business affecting variables and development techniques, and the outcomes show that the local travel industry business development mode is a speculation driven the travel industry work development mode.

1. Introduction

For quite a while, the travel industry has been viewed as a harmless to the ecosystem business with reduced transmissions, energy consumption, and pollutants. It also has substantial driving constraints in terms of consumption and work. As a result, the travel sector has nearly doubled in size turned into the agreement, everything being equal. Notwithstanding, of late, with the fast advancement of the travel industry and the constant development of venture scale, the natural effect brought about by it has continuously been uncovered. As per the exploration of the World Tourism Organization (UNWTO), the worldwide fossil fuel byproducts of the travel industry represent 5%-14% of the all-out fossil fuel byproducts from human exercises. On the off chance that was not controlled, the worldwide fossil fuel byproducts will increment at a pace of 2.5% each year. The term “tourismization” refers to a development mode and pathway that integrates, optimizes, and promotes monetary and social assets, related businesses, the biological climate, public administrations, frameworks, and arrangements in a certain region. It takes sustainable development as the principle goal and uses tourism consumption as the platform to achieve this. It is aimed at realizing the integrated development of tourism and the social economy in the region, creating a tourism environment shared by society, and driving and promoting the coordinated development of the economy, society, and ecology. This examination applied an unfortunate result model of a leeway-based model (unwanted SBM) of DEA to gauge the travel industry ecoefficiency included star-evaluated inns, travel services, and picturesque spots as the center of the travel industry areas. It applied the Hot Spot and Spatial Center of Gravity Model to break down the spatial example and transient patterns of the travel industry ecoefficiency of the 31 regions in China. Then, at that point, we used the Panel Tobit Regression Model and Geodetector to investigate the main impetuses and influencing elements of spatial-temporal differentiation of the travel industry ecoefficiency. The examination results would be given a reference for comparative locales or nations on the planet with the fast development of the travel industry or clear spatial separation of provincial monetary and social development. A few researchers additionally centered around the spatial construction of the travel industry assets on island. Cao et al. and Chen et al. excellent travel industry attractions in Hainan Island for instance and dissected the spatial construction and its advancement in view of closest neighbor file and geographic fixation list [1, 2]. Be that as it may, because of the hardships of procuring comprehensive information of the travel industry assets on island, studies on the provincial distinctions of the travel industry assets on the travel industry islands were still need.

The travel industry income and the quantity of sightseers were significant theme connected with the travel industry improvement. Chen et al. [2] called attention to that climatic occasional elements have critical pulling and pushing impacts on occasional examples of the travel industry interest, with temperature being the guideline factor. In any case, broad and quantitative examinations on the affecting factors of the customary, social, and financial viewpoints on the travel industry advancement stayed inadequate. It would be useful to quantify various elements’ effects on the travel industry assets, the travel industry income, and the quantity of sightseers. Dissimilar to past examinations for the most part investigated the drivers according to the viewpoint of the time dynamic, this review would dissect the affecting elements according to the point of view of spatial contrast in light of a clever strategy named topographical identifiers.

The advancements of this exploration are primarily appeared in three viewpoints: firstly, a half breed. To evaluate the movement business ecocapability, a distance model called superepsilon-based measure (EBM) is utilized. This model takes into account both extended degree information and nonwinding breathing space elements, overcoming the shortcomings of classic extended and nonextended models and improving the accuracy of movement business ecoviability assessment conclusions. In addition, we present a casual local area examination system that focuses on the spatial relationship between movement business ecoviability and association structure characteristics, as well as an analysis of the relationship between association structure characteristics and ecocapability in the Yangtze River Delta metropolitan agglomeration. The movement business operations waste a lot of energy, resulting in air pollution, water pollution, soil pollution, and carbon dioxide emissions, all of which jeopardise the movement business protesters’ ecological goals. In this way, the idea of “economical the mobility business” was clearly cutting-edge in the 1990 International Conference on Sustainable Development’s “Achievable Tourism Development Action Strategy.” Simultaneously, its targets and primary system were brought up. Feasibly, the travel industry advancement alludes to fulfilling the traveler need of contemporary individuals without hurting the chance of the travel industry improvement for people in the future to satisfy their vacationer need. It underscores that consideration should be paid to the natural solidarity of financial, ecological, and social advantages while creating the travel industry [3, 4]. In any case, with the Earth-wide temperature boost and the obliteration of natural climate, how to finish the green change of the travel industry and accomplish its own manageable improvement has turned into a typical issue to be settled critically on the planet today. Accordingly, similarly, study into the ecoefficiency of the transportation industry has evolved.

Ecoefficiency was first established by Alola et al. to promote the legitimate improvement of the company region [5]. It is defined as the viability of monetary activities that incorporates resource use and regular impact. The World Corporate Council for Sustainable Development (WBCSD) expanded on the prospect of high-level eco-efficiency in the business world in 1992 [6]. A few years later, ESCAP broadened its scope of application and looked at developing ecoviability markers to track the status and growth of ecocapability in the economy, as well as equipping dynamic workplaces with monetary techniques associated with normal legitimacy. Ecoefficiency is one of the most essential instruments for analyzing green events since it is based on attaining economic and environmental progress through more efficient resource use and lower pollution. The purpose of this article is to investigate the evolution of spatial collaboration in the movement business ecoefficiency and its impact on urban agglomerations. Using the Yangtze River Delta metropolitan agglomeration as the inquiry object, we first develop a framework for metropolitan evaluation pointers: the travel industry ecoproductivity and computation of the travel industry ecoproficiency of 41 urban communities from 2008 to 2017. Then, at that point, the spatial-fleeting example development attributes of the travel industry ecoproductivity and the variety of contrasts inside the metropolitan agglomeration are dissected. Besides, we utilize the changed gravity model to decide the spatial affiliation network of the travel industry ecoproficiency. On this premise, the informal community examination strategy is utilized to investigate the spatial organization structure attributes of the travel industry ecoproficiency in the Yangtze River Delta metropolitan agglomeration and its effects on corporate ecoproductivity and migration [7–10].

In general, this paper will describe the travel industry improvement plan in detail, including the travel industry assets, travel industry income, and the number of vacationers on Hainan Island, as well as the influencing variables. To begin, the basic types and quantitative qualities of Hainan Island’s travel sector assets will be examined, as well as the spatial representation of movement. Industry assets at municipality level will be depicted.

2. Review of Literature

2.1. Research on Tourismization from a Resource-Based View

Taking tourismization in traditional fishing villages in Malta as an example, the effect of tourism improvement on the town landscape and put forward a general model of tourismization and landscape changes. This model can be used to explore the relationship between tourism development and village change. B. P. Liu and Q. G. Liu believe that tourism promotes the commercialization of cultural resources [11]. Researchers have become increasingly interested in this topic and have tried to use case studies to analyze the causes, processes, and results regarding tourismization. In terms of research theories and methods, research generally follows the paradigm of geography and sociology. In early research on tourism, Chinese scholars mostly studied tourismization as a development strategy and resource development method [12].

Research on tourismization from other perspective: The first focus was the study of tourismization from the perspective of globalization and the whole society. In the context of specific tourism activities, residents, as tour guides, cater to different preferences of international tourists in various ways. The second focus has been the study of tourismization from the perspective of tourism essence. Lu et al. reviewed other scholars’ research on tourismization and stated that some scholars’ structuralism research ignored the structural logic relationship [13]. They also pointed out that tourismization is regarded as a marginal field in terms of social and economic development and spatial development, and research on tourism theory is often hindered by narrow structuralism, which prevents in-depth research on theory, resulting in the field of tourism having insufficient theorization. Starting from the ontology of tourism, Lu et al. analyzed tourismization deeply. They stated that tourism is essentially an “ordering” phenomenon and has formed a series of social “ordering effects,” among which tourismization is an important ordering effect that makes some components and peculiarities in the public arena will generally be organized [14–16].

Noted as the world’s biggest assistance area, the travel industry assumes a significant part in helping the feasible advancement of the whole economy, while muddled travel industry improvement has irritated the contention between the travel industry financial turn of events and the travel industry asset insurance. Against the foundation of a biological human progress development procedure in the new period, a lot of investigations have zeroed in on investigating how to acknowledge the travel industry monetary advancement without obliteration of the travel industry assets, how to further develop the help nature of the travel industry, and how to advance the practical, solid, and great improvement of the travel industry economy.

As of not long ago, both homegrown and worldwide researchers have investigated the impacts of the travel industry on territorial financial turn of events, the connection between the travel industry monetary turn of events and natural climate, and the affecting elements of the travel industry effectiveness, which give abundant references to this review. There are a lack of studies investigating what CSNAs mean for the movement business money-related improvement from the two perspectives of tourists (i.e., the amount of overall travellers and the amount of local travellers) and pay (i.e., the amount of overall travellers and the amount of local travellers) in China.

Concerning the econometric model of strategy assessment, the vast majority of the current writing utilized the distinction in-contrast (DID) model, which should finish the equal pattern assessment, the fake treatment test, and, furthermore, the counterfactual test. In any case, the middle consistent variable or at least the amount of CNSAs is an unending record and not a parallel list; hence, regarding the declaration of CNSAs as an unequal semitrial, this review expected to utilize the semi-DID demonstrate as the fundamental model. All the more significantly, the spatial overflow impact was normally disregarded across locales in the experimental examination of the travel industry economy, which might lessen the vigor of the assessment results; in this way, it is fundamental and critical to take on the spatial econometric model. Moreover, aside from the spatial overflow impact, disregarding worldly idleness may likewise prompt endogenous issues; thusly, the reception of a unique spatial econometric model was additionally essential for correlation with guarantee of the power of the exact outcomes.

Due to such contemplations, the travel industry holds a conspicuous circumstance to make a good contribution to the supportable advancement for neighborhood zones. It tends to be a successful instrument for preservation and local area advancement. All the while, it can introduce difficulties. In the event that the travel industry’s norms and standards have been ambiguous could conversely influence close by viable development. To obtain incredible results, essential to shape game plans considers all of the negative and beneficial outcomes that movement industry can have on the monetary, social, ecological, and social improvement of an area. These techniques ought to be made to jump all over the positive open doors; it can bring and limit unfriendly impacts. Arranging is generally considered essential in the turn of events and the executives of fruitful travel industry [17–20]. It should be founded on the rule of enormous scope of the travel industry advancement at the public and provincial levels. Since the advantages of arranging must be accomplished whenever joined by an execution plan, specialists propose that execution is given huge thought during the arranging system. Preferably, the arrangement will be carried out as planned at the same time; practically speaking, the organizers regularly should manage the way that their underlying decisions were off base and that they should now adjust among sober mindedness and optimism. These circumstances make a hole among arranging and execution which can cause a definitive fizzle of the travel industry plans. For instance, concentrate on recording the disappointment of the travel industry improvement plans because of a wide wrap of reasons including the absence of logical subtleties, erroneous presumptions about command over land use, the fall flat of focal arranging made by the lack of local area investment, and befuddles between neighborhood prospects and focal preparation [21].

Particularly, the calls for adopting suitable policies and technology solutions to address these urbanization-related issues are receiving strong support from stakeholders and government agencies. Under these varied effects, the question of how to employ information technology to deal with urban population increase and urbanization-related issues has become one of the most pressing ones. People can deal with the issues caused by urbanization in a number of ways thanks to information technology. Cloud computing and the Internet of Things are some of these technologies (IoT)

2.2. Development of a Model for the Evolution of Temporal and Spatial Differences in Tourism Economy Based on the Regional Internet of Things Technology

2.2.1. Local IoT Spatial Hierarchy

Time Computation Tree Logic (TCTL) can address endless commonly occurring normalizing credits, such as security and time response, in a continuous structure like the Internet of Things, and is especially useful for research on time reach ability. It may receive a variety of common assessments and execute affirmation more effectively due to its strong boundaries. Because the secret model’s state space is often uncountable, the accessibility assessment should utilize meaningful development to show the clock’s movement through a limited leftover piece. Figure 1 depicts the spatial distribution difference evened out settling of common IoT [22].

Because of the progressing and synchronous properties of the Internet of Things structure, consider exhaustive journey for copying. The number of states created will increase dramatically in both state space and the clock band, resulting in a massive increase in reality utilization. When the number of concurrent systems is large, looking over the state space plainly outperforms the PC’s memory utmost ranges, and the affirmation result will not be satisfactory procured.

For the immediate utilization coefficient, additionally, the unit’s full-scale aftereffect of the thing (or industry) region in the creation and movement process is recorded as , which suggests the swift usage of the unit’s full-scale aftereffect of the thing (or industry) region in the creation and movement process [23, 24]. The rapid usage coefficient of each and every thing influences the value of the work and stuff consumed in the thing region (or industry) area as an immediate utilization coefficient table or an immediate utilization coefficient network, typically addressed by the letter .

The whole utilization coefficient is the justification for determining the attributes of the creation structure in the Leontief model. It completely reveals the specific and financial relationship between the various regions of the public economy, i.e., the strength of the relationship and the areas’ separated limitations, and it provides significant financial boundaries to developing info yield models.

Range alludes to the contrast between the greatest worth and the base worth of a specific list. It mirrors the biggest outright distinction in the difference in a specific pointer among different districts. The reach list can demonstrate the hole between the region with the most evolved travel industry economy and the area with the most uncreated travel industry economy. The standard deviation is the square root of the variation of each unit of the general population’s standard worth from its mean [25–28].

The total utilization coefficient alludes to the amount of the immediate and aberrant utilization of labor and items for each unit offered by the thing region for different use in the thing region. The total use coefficient of each and every division is transmitted in the form of a table, which is either a finished usage coefficient table or an all-out use coefficient system, regularly tended to by the letter .

The standard deviation to the corresponding typical is measured by the coefficient of assortment. It can prevent the effect of unit or midpoint differentiation on the assessment of the degree of assortment of at least two features. The assortment coefficient can be used to explain the general differences in the movement business economy among distinct assessment units.

3. Materials and Techniques

3.1. Information

3.1.1. All-Out Utilization Coefficients

The Input-Output Table (IO table), which transmits the business yield as how much the interindustry streams (trade between regions to regions) and arrangements to persuading interest, is the most important data for IO examination (trade from regions to clear purchaser). The outright use coefficient and, later, the TWF of each and every region is obtained via the IO table. We use the (i) comfort and food, (ii) transportation, warehousing, and postal organizations, water conservation, and ecological and public office of the board, (iii) rebate and retail, and (iv) culture, sports, and redirection regions and their contrasting water creation and supply as the fundamental data for choosing the WFs of food and accommodation, transportation, visiting, and shopping exclusively in the China Regional Input-Output Tables (2012). The data for selecting the WF of visiting is based on the water conservation, ecological, and public office board region. This decision was reached because the China Input-Output Tables (2012) include the explanation and codes for the thing region and industry region game plan office of the board incorporates greening the executives [28–30].

3.1.2. The Travel Industry Data

The income of every area is required in the estimation of the TWFs of various areas, and it very well may be determined from the absolute movement business pay and the degree of the movement business pay of each and every region. We got the movement business pay and the amount of travellers from the Statistical Bulletin of National Economic and Social Development for each district from 2013 to 2018. We utilise the per capita consistent usage of inbound tourists by district, obtained from the China Tourism Statistical Yearbook (2014-2018) and the China Culture and Tourism Statistical Yearbook, because there are no data on the degree of sect oral pay by region (2019).

3.2. Techniques

3.2.1. Information Source and Preparation

The online site of the Ministry of Culture and Tourism of the People’s Republic of China (https://www.mct.gov.cn/) provided the overview of China’s significant common movement business towns in this article. The Ministry of Culture and Tourism announced the fundamental gathering in 2019 and 2020 independently to carry out the common place restoration framework and the “Thirteenth Five-Year” Tourism Development Formulate, as well as work on the limit of China’s country creation to meet people’s creating necessities for an unrivalled life. The second pack of 680 is 320. Significant provincial travel industry towns across the country have a sum of 1,000. They chose essential rustic travel industry towns have rich social and travel industry assets, better security of normal biology and conventional culture, better advancement of country private convenience, mature travel industry item framework, wonderful foundation and public administrations, and clear advantages of work and success, which have ordinary exhibition and driving job, addressing the excellent provincial travel industry administration level in the new time. The definite direction information of every town is acquired in light of the point-like elements of the Google Map which is expected and adjusted on the regular assistance using ArcGIS10.5 (Figure 2).

3.2.2. Research Methods

(1) Closest the Neighbor Index. It separates the degree of normal proximity by looking at the closest neighbor distance and speculative nearest neighbor distance of spatial parts and judges the spatial scattering sort of essential rustic travel industry towns. The recipe is as follows:

The nearest neighbor list is , the authentic nearest neighbor distance is , and the speculative nearest neighbor distance is . is the number of dangerously common business towns; the audit district’s location is An. , the important towns of everyday business movement flow at random in space; is a standard dispersion.

(2) The Geographic Concentration Index. It can be used to assess the geographical centralization of essential information rustic travel industry towns. The recipe is as follows:

3.2.3. Tourism and Tourism Development

Regularly eluded Hainan, also known as the “Oriental Hawaii,” is a significant business destination in China. Haikou, located in the northern section of the island, is the region’s financial, political, social, and transportation hub. Because of a limited number of often observed getaway lodgings, Sanya, in China’s southernmost region, has become the most preferred tropical voyager city in the country. In terms of the financial implications of the mobility business and travel, the Hainan Provincial Government should make every effort to assist the industry in making logical progress. This will necessitate thorough oversight and monitoring by public authorities, as well as strong collaboration between the secret region and metropolitan experts. The twelfth Five-Year Plan was implemented in the Hainan area (2011-2015) supported a broad posting of tasks for framework and resort superstructure to incorporate lavish lodgings, retail plazas, social travel industry projects, the travel industry offices, and attractions including a submerged ocean world and a fake ski place. A considerable lot of these tasks were finished before the finish of the five-year time frame; every one of them is relied upon to be functional continuously 2020. The absolute expense of the 64 exercises is RMB 372.5 billion. 15 important explorer spots and 63 lodges (five star and higher) were completed during the hour of the twelfth Five-Year Plan. This was to keep up with the most recent developments in the movement industry, as well as the expanding demands from fashion designers and financial backers. By the end of the five-year period, Hainan had more over 100 five-star or above rooms, making it one of the best thickness tourist resorts on the planet. It is remarkable that these updates included a framework for reducing the cost of moving a corporation forward. This includes being well organized, working with, completing, and having a strong desire to prepare and tutor. Their motivation was to provide the fundamental HR to control wants for down-to-earth and capable future events, promotions, and advancement. This was followed by the direction of end-to-end headway research for market expansion and to express amazing stuff. Simultaneously, a number of factors connected to uplift are at work local travel industry and fabricate a local the travel industry objective.

The travel industry drove changes in land use and the environment in Hainan. The movement business is usually a successful method for quickening the monetary turn of events and the general advancement of ocean front zones in most nonmodern countries. Because Hainan is China’s most well-known tourist destination and the country’s first Special Economic Zone, it chose a movement industry-driven development strategy and has seen rapid economic growth since then. Forestland to manors and farmland to advancement land, i.e. regions assigned for structures and foundations, have seen massive changes in land usage. Between 1991 and 2007, boondocks and farmland fell by 15% and 29%, respectively, while manors and improvement land increased by 242 percent and 258 percent. The transition from rustic to improved land has occurred in the fields along the shore, whereas the majority of the transitions from forest to farming have occurred in the island’s center sector. The growth of the movement industry has not sparked much excitement recently. Expanded interest for fast urbanization and the travel industry framework yet has additionally impressively improved deals for tropical organic product items, clarifying this expansion in plantation utilization [31–33]. Advancement invigorated by the travel industry has significantly rebuilt examples of land use, raising worries about of scene discontinuity, vegetation degeneration, beach front disintegration, and the deficiency of arable farmland. Ill-conceived travel industry and land use has, somewhat, prompted the obliteration of the travel industry assets in Sanya and the decrease of its standard benefits which will restrict the eventual fate of the reasonable advancement of the travel industry.

First end-all strategy finished in 2002 (the crucial Tourism Development Master Plan was completed with the assistance of the World Tourism Organization (UNWTO). The movement business progress in Hainan was slow for a large portion of the first ten years of the twenty-first century, but the movement business and hypothesis accelerated quickly after the Chinese State Council announced in December 2009 that Hainan Island would be climbed to transform into an overall movement business objective. The Hainan Provincial Government had reenergized their Master Plan by 2008, constructed a large part of the framework required for the primary expert new retreats, and pulled in a portion of the main the travel industry financial backers in Hainan. A considerable lot of those financial backers framed coorganization concurrences with global lodging organizations’ gatherings to work the inns and resorts.

There is a stunning speed of improvement. A couple of years prior, the advancement speed became staggering, particularly with regard to resorts, inns, and foundation; for example, Hainan’s East Ring Intercity Rail Link is a high-speed rail link that connects the island’s major cities. Hainan eventually comes to rely on the assistance of the rest of the globe in the transportation business, and this is not expected to alter for at least the next ten years.

The traditional lawmaking body of Hainan has strived to work with the enhancement of the tourism industry plan, which has benefited from the aid of the central government. Hainan is seen as a global vacationer location. Six strategies were remembered for the State Council revelation determining Hainan’s improvement as a worldwide traveler objective. (1)Making Hainan an occasion vacationer and a-list travel and recreation location(2)Forming the island into a fundamental stage for worldwide monetary collaboration and social trades(3)Making Hainan a pioneer in the movement business recovery in China(4)Further creating Hainan as a help place in relating with being a public, current tropical rustic concentration(5)Making an extraordinary showing region for environmental improvement in China(6)Creating assets in the South China Sea

4. Discussion

(1)The travel industry with Hainan Province has been a favourable inclusion. The accomplishment in the travel industry arranging in Hainan region is plain because of a mix of variables, which can be summed up as follows:(2)The travel industry improvement incorporates many variables which are reliant upon unofficial laws, including those connecting with the texture of metropolitan framework, conservation of authentic structures and social regions, control of development demands, congestion, contamination, and occupation security, and the arrangement for new developments and types of work(3)The government is unable to resolve all difficulties. Accomplices ought to be involved at all levels, provoking the improvement of understanding and the bracing of relationship between individuals by large, private, and corporate regions. In such affiliations, the city specialists ought to be a basic expert due to the vote-based order and their obligations and, most importantly, due to their assets. Nonetheless, it is fundamental that the district does not rule the interaction. It ought to, preferably, go about as an impetus to unite others and set a model for their participation(4)The travel industry can support associations between the private and public areas in the foundation of feasible travel industry offices in rustic and metropolitan regions and can prompt further developed exercises and attractions connected to the legacy and culture of metropolitan, chronicled, and regular regions. Such coordinated efforts can be instrumental in diminishing the travel industry-related traffic and advancing harmless to the ecosystem methods of transportation(5)The travel industry offices can supply data concerning hazards and proper conduct, foster ventures to lighten harm to the climate, advance training for manageable improvement in colleges and schools, bring neighborhood the travel industry into the school educational plan, reinforce data organizations, and direct exploration on supportable the travel industry(6)To accomplish this, the traveler business requires strategy producing establishments, metropolitan and provincial preparation, and members from common society cooperating to make long haul arrangements in the field of the travel industry

Among the overall contemplations, the principal concerns the arranging system and the issue of the rationality of government strategy. Supportable improvement strategy, as applied to spatial preparation and the travel industry, ought to be a blend of the arrangements of different government divisions. For some individuals in the Syrian beach front district, arranging itself infers the recollections, since a long time ago, political framework was held that had been seen contrarily. Hence, the job of appropriately evolved improvement plans and systems may not be as expected appreciated. Notwithstanding, maintainable improvement relies upon a drawn out viewpoint and thusly requires a procedure that anticipates ten to fifteen years. A variety of elements influence the achievement of a movement industry goal. To ensure the long stretch of the movement company for a goal, bosses should be consistently seeing, separating, and surveying the board techniques and the movement business execution as part of an unpredictable and dynamic industry. Fundamental planning and careful organization modifications can lead to significant improvement and achievement of a real movement business goal. Consistent turnover in administrative positions, as well as the changing nature of government, has resulted in a lack of knowledge about key procedures. The present circumstance additionally stretches out to bring down degrees of state organization, including nearby legislatures.

Data Availability

The data used to support the findings of this study are included within the article.

Conflicts of Interest

The author declares no conflicts of interest.

References

F. Cao, Z. Huang, C. Jin, and M. Xu, “Chinese national scenic areas’ tourism efficiency: multi-scale fluctuation, prediction and optimization,” Asia Pacific Journal of Tourism Research, vol. 21, pp. 570–595, 2016.
View at: Publisher Site | Google Scholar
Z. Chen, W. Fu, C. C. Konijnendijk van den Bosch et al., “National forest parks in China: origin, evolution, and sustainable development,” Forests, vol. 10, no. 4, p. 323, 2019.
View at: Publisher Site | Google Scholar
A. Alola and U. V. Alola, “Agricultural land usage and tourism impact on renewable energy consumption among Coastline Mediterranean Countries,” Energy & Environment, vol. 29, no. 8, pp. 1438–1454, 2018.
View at: Publisher Site | Google Scholar
K. K. Eluwole, S. S. Akadiri, A. A. Alola, and M. U. Etokakpan, “Does the interaction between growth determinants a drive for global environmental sustainability? Evidence from world top 10 pollutant emissions countries,” Science of the Total Environment, vol. 705, article 135972, 2020.
View at: Publisher Site | Google Scholar
A. A. Alola, T. T. Lasisi, K. K. Eluwole, and U. V. Alola, “Pollutant emission effect of tourism, real income, energy utilization, and urbanization in OECD countries: a panel quantile approach,” Environmental Science and Pollution Research, vol. 28, no. 2, pp. 1752–1761, 2021.
View at: Publisher Site | Google Scholar
T. Lasisi, K. Eluwole, U. Alola, L. Aldieri, C. Vinci, and A. Alola, “Do tourism activities and urbanization drive material consumption in the OECD countries? A quantile regression approach,” Sustainability, vol. 13, no. 14, article 7742, 2021.
View at: Publisher Site | Google Scholar
F. Cao, Z. Huang, C. Jin, and M. Xu, “Influence of Chinese economic fluctuations on tourism efficiency in national scenic areas,” Tourism Economics, vol. 22, no. 5, pp. 884–907, 2016.
View at: Publisher Site | Google Scholar
W. Du, S. M. Penabaz-Wiley, and I. Kinoshita, “Relationships between land use changes, stakeholders, and national scenic area administrations: a case study of Mount Jinfo and its surroundings in China,” Environment and Planning C: Politics and Space, vol. 37, no. 8, pp. 1507–1530, 2019.
View at: Publisher Site | Google Scholar
M. B. Alazzam, F. Alassery, and A. Almulihi, “A novel smart healthcare monitoring system using machine learning and the Internet of Things,” Wireless Communications and Mobile Computing, vol. 2021, Article ID 5078799, 7 pages, 2021.
View at: Publisher Site | Google Scholar
F. Wang, X. Peng, Y. Qin, and C. Wang, “What can the news tell us about the environmental performance of tourist areas? A text mining approach to China’s National 5A Tourist Areas,” Sustainable Cities and Society, vol. 52, article 101818, 2020.
View at: Publisher Site | Google Scholar
B. P. Liu and Q. G. Liu, “Evaluating water environmental conditionality for tourism of national scenic—a case of Chaohu Lake, China,” Advanced Materials Research, vol. 726-731, pp. 1245–1250, 2013.
View at: Publisher Site | Google Scholar
B. Xu and J. Pan, “Spatial distribution characteristics of national protected areas in China,” Journal of Geographical Sciences, vol. 29, no. 12, pp. 2047–2068, 2019.
View at: Publisher Site | Google Scholar
C. Lu, W. Li, M. Pang, B. Xue, and H. Miao, “Quantifying the economy-environment interactions in tourism: case of Gansu Province, China,” Sustainability, vol. 10, no. 3, p. 711, 2018.
View at: Publisher Site | Google Scholar
F. Shi, D. Weaver, Y. Zhao, M.-F. Huang, C. Tang, and Y. Liu, “Toward an ecological civilization: mass comprehensive ecotourism indications among domestic visitors to a Chinese wetland protected area,” Tourism Management, vol. 70, pp. 59–68, 2019.
View at: Publisher Site | Google Scholar
X. Qin and X. Li, “Evaluate on the decoupling of tourism economic development and ecological-environmental stress in China,” Sustainability, vol. 13, no. 4, p. 2149, 2021.
View at: Publisher Site | Google Scholar
R. Wang, M. B. Alazzam, F. Alassery, A. Almulihi, and M. White, “Innovative research of trajectory prediction algorithm based on deep learning in car network collision detection and early warning system,” Mobile Information Systems, vol. 2021, Article ID 3773688, 8 pages, 2021.
View at: Publisher Site | Google Scholar
H. Chen, “Complementing conventional environmental impact assessments of tourism with ecosystem service valuation: a case study of the Wulingyuan Scenic Area,” Ecosystem Services, vol. 43, article 101100, 2020.
View at: Publisher Site | Google Scholar
J. Xu, J. Wei, and D. Zhao, “Influence of social media on operational efficiency of national scenic spots in China based on three-stage DEA model,” International Journal of Information Management, vol. 36, no. 3, pp. 374–388, 2016.
View at: Publisher Site | Google Scholar
Q. Zheng, Y. Kuang, and N. Huang, “Coordinated development between urban tourism economy and transport in the Pearl River Delta, China,” Sustainability, vol. 8, no. 12, article 1338, 2016.
View at: Publisher Site | Google Scholar
D. Ma and H. L. Xia, “Analysis of the impact of water pollution on tourism activities in scenic spots under the concept of eco-logical environment protection,” Fresenius Environmental Bulletin, vol. 30, pp. 9966–9971, 2021.
View at: Google Scholar
C. Cerda, J. Barkmann, and R. Marggraf, “Non-market economic valuation of the benefits provided by temperate ecosystems at the extreme south of the Americas,” Regional Environmental Change, vol. 14, no. 4, pp. 1517–1531, 2014.
View at: Publisher Site | Google Scholar
Y. Mayuzumi, “Is meeting the needs of tourists through ethnic tourism sustainable? Focus on Bali, Indonesia,” Asia-Pacific Journal of Regional Science, vol. 6, pp. 423–451, 2022.
View at: Publisher Site | Google Scholar
E. Sadeh and M. Garkaz, “Interpretive structural modeling of quality factors in both medical and hospitality services in the medical tourism industry,” Journal of Travel & Tourism Marketing, vol. 36, no. 2, pp. 253–267, 2019.
View at: Publisher Site | Google Scholar
M. B. Alazzam, F. Alassery, and A. Almulihi, “Development of a mobile application for interaction between patients and doctors in rural populations,” Mobile Information Systems, vol. 2021, Article ID 5006151, 8 pages, 2021.
View at: Publisher Site | Google Scholar
L.-Y. Hsieh, S.-M. Lin, and Y.-H. Lee, “Benefit analysis of service quality degradation: a case study of the tourism industry,” Journal of Information and Optimization Sciences, vol. 38, no. 8, pp. 1347–1356, 2017.
View at: Publisher Site | Google Scholar
L. Han and L. Li, “Sustainable development of tourism under the background of low-carbon and green economy,” Advances in Materials Science and Engineering, vol. 2021, Article ID 8587024, 8 pages, 2021.
View at: Publisher Site | Google Scholar
L. Wang and H. Zhang, “The impact of marine tourism resources development on sustainable development of marine economy,” Journal of Coastal Research, vol. 94, pp. 589–592, 2019.
View at: Publisher Site | Google Scholar
H. B. Chen, K. Dong, F. F. Wang, and E. C. Ayamba, “The spatial effect of tourism economic development on regional ecological efficiency,” Environmental Science and Pollution Research, vol. 27, no. 30, pp. 38241–38258, 2020.
View at: Publisher Site | Google Scholar
A. Motsa, S. Rybakova, T. Shelemetieva, I. Zhuvahina, and L. Honchar, “The effect of regional tourism on economic development: Case study: the EU countries,” International Review, vol. 1-2, no. 1-2, pp. 67–75, 2021.
View at: Publisher Site | Google Scholar
X. Yang, Y. Jia, Q. Wang, C. Li, and S. Zhang, “Space–time evolution of the ecological security of regional urban tourism: the case of Hubei Province, China,” Environmental Monitoring and Assessment, vol. 193, no. 9, article 566, 2021.
View at: Publisher Site | Google Scholar
C. Huang, J. W. Wang, C. M. Wang, J. H. Cheng, and J. Dai, “Does tourism industry agglomeration reduce carbon emissions?” Environmental Science and Pollution Research, vol. 28, no. 23, pp. 30278–30293, 2021.
View at: Publisher Site | Google Scholar
Z. Xiao, P. Muhtar, W. Huo, C. An, L. Yang, and F. Zhang, “Spatial and temporal differentiation of the tourism water footprint in mainland China and its influencing factors,” Sustainability, vol. 13, no. 18, p. 10396, 2021.
View at: Publisher Site | Google Scholar
R. Tang, “The impact of integration policies on tourism industry convergence in the Yangtze River Delta: theoretical mechanism and empirical test,” Letters in Spatial and Resource Sciences, vol. 14, no. 2, pp. 141–167, 2021.
View at: Publisher Site | Google Scholar

Copyright

Copyright © 2022 Xin Xie. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

PDF Download Citation

Download other formats

Order printed copies

Views

248

Downloads

286

Citations