Research on Rule of Law Dilemma and Countermeasures of Rural Ecotourism Development Based on Rooting Theory

Compared with urban areas, natural resources, ecological environment and human landscape are the greatest advantages and valuable assets of rural areas. Ecological environment is not only a resource, but also an important part of productivity and economic development [1-2]. Rural ecotourism organically unifies the economic and ecological values of tourism resources, pursues a high degree of unity of economic, social and ecological benefits, and has the overall significance of promoting common prosperity [3-4]. Although the development time of China’s rural ecotourism is relatively short, but thanks to the top-level promotion of the implementation of ecological revitalization strategy at the national level, its development speed has far exceeded the expectations, as a new thing, the development of rural ecotourism lacks of legal regulations to closely follow up and closely cooperate with the various problems continue to be exposed, and the phenomenon of violation of the law occurs from time to time [5-8].

Rural ecotourism is the depth mode of modern tourism development in the new era, which is constructed on the basis of the connotation and practice of ecotourism and rural tourism [9-10]. The concept has always been accompanied by changes in the concept of ecological protection and the transformation of rural economic development, and has been perfected in the interaction between the two. The concept of ecological protection has experienced the change from ignorance to scientific cognition, from fearlessness of nature to respect for nature, and from the mutual game between human and nature to harmonious coexistence, and the rural economic development has realized the leap from ecological poverty alleviation to ecological enrichment [11-13]. Ecological poverty alleviation is a poverty alleviation model that combines ecological protection with poverty alleviation and development. Through the implementation of major ecological project construction, increase ecological compensation, vigorously develop ecological industries, innovative ecological poverty alleviation methods, etc., to increase the support for poor areas and poor people, in order to achieve the poverty alleviation model that promotes the coordination of poverty alleviation and development with ecological protection, and the promotion of poverty alleviation and sustainable development, and ultimately achieve poverty alleviation and ecological civilization construction “win-win situation” [14-16]. The development of rural ecotourism is a specific initiative to realize ecological poverty alleviation, relying on the advantages of ecological resources in poverty-stricken areas, and using scientific methods to promote the transformation of resource value into economic value in order to realize the rapid development of the economy of poverty-stricken areas. However, rural ecotourism at this stage often focuses on economic benefits, with the aim of eliminating poverty and realizing affluence, and to a certain extent neglects the protection of the ecological environment. With the completion of the historical mission of eliminating absolute poverty, China’s ecological poverty alleviation has jumped to ecological affluence [17-18]. Eco-enrichment emphasizes the rational use of ecological resources to develop an ecological economy on the basis of the harmonious coexistence of human beings and nature, so as to achieve both spiritual and material affluence [19].

The key to the strategy of rural revitalization in ethnic areas under the new era is to enhance the endogenous capacity of ethnic villages, i.e., to lead the rural revitalization in ethnic areas with ethnic ecotourism. Tourism rule of law environment and tourism market order as the primary standard for measuring the level of regional tourism development, an important factor in determining the efficiency of the local tourism industry [20-21]. Therefore, the development of ethnic eco-tourism requires the rule of law to escort, and the rule of law in tourism is an effective guarantee for the construction of ethnic eco-tourism. The construction of ethnic ecotourism is inseparable from the construction of the rule of law discourse, the rule of law as a powerful guarantee for the development of ethnic ecotourism practice, it is necessary to inject the rule of law energy for ethnic ecotourism, according to the law to rule the tourism Xingtourism, build the rule of law of the good order of tourism, and help rural revitalization of the ethnic areas [22-23]. Ethnic ecotourism rule of law is to promote the inevitable requirements of rural revitalization under the rule of law China, but also the common long-cherished wish of the people in ethnic areas. However, how to achieve the construction of the rule of law of ethnic ecotourism in the context of rural revitalization strategy is a problem worthy of reflection in the academic community [24-25].

The study of sustainable development of ecotourism has been the focus of scholars in this field. Literature [26] explored the contribution of stakeholder cooperation to ecotourism by combining stakeholder cooperation rate and triple bottom line principle, the study pointed out that the cooperation among stakeholders in southern Ethiopia is poor, which leads to the development of local ecotourism exacerbating the degradation of natural resources, and pointed out that there is a need to encourage the participation and empowerment of the local communities to participate in ecotourism and natural resource governance. Literature [27] used questionnaires and interviews to obtain information and data on coastal ecotourism in Tamil Nadu, and explored the management pathways for the sustainable development of ecotourism by combining the SWOT and outcome-based QSPM methods, and pointed out that there are serious deficiencies in the local ecotourism in terms of lodging, specialty foods, and environmental governance, and that there is a need to improve the capacity of ecological and environmental governance and the provision of high-quality services in order to ensure sustainable development of ecotourism. It is necessary to improve the capacity of ecological environmental management and provide quality services to ensure the sustainable development of ecotourism. Literature [28] studied the feasibility of rural ecotourism development in Tianjin based on the analysis of strengths, weaknesses, opportunities and threats, and summarized the characteristics of the region, such as convenient transportation, abundant natural resources of water, flora and fauna, as well as the problems of serious homogenization of the content, insufficient quality of the service personnel, and the uncertainty of the theme of ecotourism, which provided scientific references for the development and planning of rural ecotourism in Tianjin. The above study explored the factors affecting the sustainable development of ecotourism from the perspectives of ecotourism stakeholder participation, service and environmental governance, resource endowment, and transportation. Sustainable ecotourism development not only provides tourists with a good ecotourism experience, but also brings a new impetus to the economic development of ecotourism areas. Literature [29] analyzes how ecotourism development in southern Costa Rica feeds local rural economic development and the path of sustainable local ecotourism development, concludes that ecotourism development supplements agricultural income for local rural residents to a certain extent, and finally evaluates alternative scenarios for sustainable rural development.

The rule of law is an important part in the sustainable development of ecotourism, and the rule of law has an important supporting role for the resource environmental protection and sustainable development of ecotourism scenic spots, and the literature [30] analyzes the legal norms and limitations in the field of ecotourism, and argues that the environmental legal constraints in ecotourism make certain limitations for the planning of the tourism routes, but this protects the natural pristine state to a certain extent, and also helps the sustainable development of ecotourism. Literature [31] systematically reviewed the research literature related to the rule of law in ecotourism, pointing out that the rule of law plays an important role in the protection of the environment and natural resources of ecotourism, and explored issues related to ecotourism legislation, rule of law, ethics, and sustainable development, aiming at the implementation of an effective ethical and legal supervision of ecotourism. However, the legal norms related to ecotourism still need to be improved or even opened up, literature [32] describes the existence of a legal vacuum in the rule of law in ecotourism, and combined with the use of the theory of authority to analyze the rule of law in ecotourism in the local legislation, pointed out that many regions did not formulate the development of regional tourism in accordance with the relevant laws and regulations of the local laws and regulations, which led to the rule of law of ecotourism, there is no way to rely on the embarrassing situation. This has also led to an awkward situation in the rule of law of ecotourism. In the case of legal compliance, the effectiveness and strictness of law enforcement is also very necessary. Literature [33] builds a comprehensive legal framework to clarify the ownership of ecotourism resources, behavioral norms and penalties for violations, while emphasizing the importance of strict law enforcement.

Applying the idea of rooted theory to the research on the influence factors of the rule of law in rural ecotourism development avoids the shortcomings of the traditional influence factor identification method that is overly dependent on theoretical literature, and makes the screening of influence factors based on theories linked to practice. The path-coding model of the influence factors of the rule of law in rural ecotourism development was established based on the rooted theory. On the basis of DEMATEL-ISM model, the structural hierarchical model of the interrelationship structure of the influencing factors of the rule of law for rural ecotourism development is analyzed, through which the complex relationship of the influencing factors in the rule of law for rural ecotourism development is clarified, and suggestions and countermeasures for solving the dilemma of the rule of law for rural ecotourism are put forward for the multilayered incremental structural model.

2

Study on the factors affecting the plight of the rule of law based on the theory of rootedness

2.1

Paths of Application of Rootedness Theory

Rural ecotourism is a new type of industrial integration and development that utilizes the countryside as a tourist destination and possesses exceptional traditional rural culture as its core. In recent years, with national and local governments giving continuous support to rural tourism land, various regions are innovating forms of rural tourism. However, the lack of legal system protection makes it difficult for the government and developers to progress in the market of rural ecotourism. Rooted theory is a special methodology for building theories from information. The so-called “rooted theory” means that the researcher does not need to make theoretical assumptions before starting. It is a research method that emphasizes that in a natural situation, after the researcher obtains the first-hand raw materials through observation, in-depth interviews, texts and other methods, he or she will carry out open coding, spindle coding and selective coding in order to build a substantive theory by refining and excavating from the raw materials.

In the study of the rule of law dilemma in rural ecotourism development, the rooted theory has excellent applicability. The path of analyzing the rule of law dilemma of rural ecotourism development based on the rooting theory is shown in Figure 1. Zagan theory is specifically divided into four stages: problem generation, data collection, data processing, and model construction. Data collection is not only once, it may involve collecting data several times, the whole process is dynamic and variable, and these four stages can also be carried out at the same time. The research questions of the Zagan theory are derived from information and data that are naturally generated from actual observations. 1)

Research Problem Generation

In the early stages of the study, only a general understanding of the problem is required, and as the study progresses, relevant research questions will naturally be identified.

2)

Data collection

According to the research problem and the purpose to be achieved need to select appropriate samples to obtain relevant data, but the number of samples need to meet the requirements of the theory of saturation, in order to achieve objective and comprehensive effect of the research problem, in the early stages of the study need to collect as much data as possible. At the same time, in order to strengthen the connection between the data, it is necessary to go back and forth between the data and the analysis of the problem many times to write a memo.

3)

Data processing

Coding is the way of processing data and the process of defining the content of the data. This study involves three stages of procedural coding, the first stage is open coding, which is extracting brief information from the coded data and successively following the process of labeling, conceptualization, and categorization to obtain multiple categories. The second stage is principal axis coding, which involves categorizing the categories obtained in the previous stage and further clarifying the relationship between the categories in order to obtain each main category. The third stage is selective coding, i.e., obtaining the core categories on the basis of abstract generalization of the main categories.

4)

Theory Saturation Test

The purpose of the theory saturation test is to ensure the credibility of the results of the data analysis, specifically, to do the theory saturation test on the obtained categories, the main category and the core category. After analyzing the test sample, when no new concepts and categories appear, it can be considered to meet the requirements of theoretical saturation, i.e., the results of data analysis are credible.

5)

Modeling

The purpose of constructing the model is to sort out the relationship between each category, main category and core category, as well as to summarize the research results of the previous four stages, and finally to summarize the results of the coding at a deeper level and integrate them to form a story line in order to construct the corresponding system model.

2.2

Model construction based on rootedness theory

This study mainly uses procedural rooting theory to analyze the in-depth interview data, extract the legal security dimensions and influencing factors of the rule of law in rural tourism tourism, and explore the rule of law dilemma of rural ecotourism development. Using Zagan’s theory to summarize the interview data, we finally obtain the legal influences that affect the development of rural ecotourism and explore the formation process of the rule of law dilemma in rural tourism tours.

The DEMATEL-ISM model based on Zagan theory is shown in Figure 2, which uses Zagan theory to summarize the interview data and finally get the influence factors of rule of law capacity.The DEMATEL method is based on the influence factors, and by means of distributing questionnaires to the professionals, we obtain the mutual influence relationship between the influence factors, determine the direct influence matrix, and according to the research idea, we get the integrated Influence Matrix, Overall Influence Matrix and Reachable Matrix, and finally get the multi-layer recursive order structure model, and finally analyze it comprehensively.

The research mainly uses procedural rooting theory to analyze the in-depth interview data, the legal security dimensions of the rule of law in rural tourism tourism and the factors affecting it, after determining the main issues of the research, catching the research object, using research interviews to obtain the raw data, using open coding to extract the initial concepts from the raw data of the in-depth interviews and carry out the preliminary categorization, and then exploring the intrinsic connection between the factors of rural ecotourism development and carrying out the categorization expression by means of the main axis coding. Secondly, through the main axis coding to explore the intrinsic connection between the factors of rural ecotourism development and category expression, to get the main category and sub-category, in which the sub-category is the rule of law influencing factors of rural ecotourism development, and finally selective coding to form the overall category framework, to construct the rule of law dilemma influence model of rural ecotourism development.

Determination of the direct influence matrix, in order to obtain the mutual influence relationship between the influencing factors, it is possible to distribute a questionnaire to the experts in order to score the influence relationship between these factors in a professional perspective, the assessment scale used is 0-5, which indicates the strength of the influence relationship. A score of 0~5 indicates that compared with two factors, DCi factor has no effect on DCj factors, compared with two factors, DCi factors have a very weak influence on DCj factors, compared with two factors, DCi factors have a weak influence on DCj factors, compared with two factors, DCi factors have a general influence on DCj factors, compared with two factors, DCi factors have a strong influence on DCj factors, and compared with two factors, DCi factors have a very strong influence on DCj factors.

The expert compares the interactions of the influencing factors two by two and derives the matrix of direct relationships of the influencing factors $K (K = [K_{i j}] n \times n)$ , where element K_ij indicates the degree of direct influence of the influencing factor DCi on the factor DCj.

The direct influence matrix of the influencing factors is normalized by adding the elements of the rows of the direct influence matrix Z and finding their maximum values, which results in the normalized influence matrix $Z (Z = [Z_{i j}] n \times n)$ according to the formula: (1) $Z = K / \max_{1 \leq i \leq n} \sum_{j = 1}^{n} x_{i j}$

The combined impact matrix is the product of the unit matrix minus the inverse of the canonical impact matrix and the canonical impact matrix, denoted by $H (H = [H_{i j}] n \times n)$ , where E is the unit matrix, as follows: (2) $H = {(E - Z)}^{- 1}$

Influence J, Influenced X, Center $(J + X)$ and Cause $(J - X)$ are calculated for the influencing factors. Influence J is the value obtained by summing the rows of the elements in the composite influence matrix H. Affectedness X is the value obtained by stacking the sum of the columns of the elements in the composite influence matrix H. The centrality $(J + X)$ is obtained by adding the influence degree J and the influenced degree X of the influencing factor, and the cause degree $(J - X)$ is obtained by subtracting the influence degree J and the influenced degree X of the influencing factor. Centrality $(J + X)$ refers to the role played by the influencing factor in the rule of law governance of rural ecotourism, and the larger the value of centrality $(J + X)$ , the more important the factor is. Causality $(J - X)$ represents the degree of causality between this influencing factor and other influencing factors, if J − X > 0, it means that this influencing factor has a large influence on other influencing factors, which is called the cause of the factor. If J − X < 0, it means that this influencing factor is greatly influenced by other influencing factors and is called the result factor. (3) $J = \sum_{j = 1}^{n} t_{i j} W h i c h i = 1, 2, 3 \dots n$ (4) $X = \sum_{j = 1}^{n} t_{i j} W h i c h i = 1, 2, 3 \dots n$

2.3

Results of Principal Axis Coding of Factors Influencing Rule of Law Dilemmas

According to Zagan’s theory, in the open coding process, the raw data are parsed word by word, the more critical phenomena are excavated, and a concept is extracted from them to interpret the content of the data material. In the process of decomposing and interpreting the discourse, some concepts in the discourse are defined and developed. After dissecting and comparing these concepts, refined categories are finally obtained. The process of open coding is to extract and decentralize the content of the interviews reflecting the perception of the tourists into separate utterances, and then construct the corresponding concepts for them, and finally name these concepts in a further abstract way. After open coding was completed, the initial categories needed to be spindle coded to find and establish links between conceptual categories to reflect the associations between the various parts of the source material.

As shown in Figure 3, the researchers can only choose to analyze a single genus at this stage, and conduct correlation analysis around it, so as to make the relationship between the conceptual categories clearer and divided into primary and secondary genera. On the basis of open coding, X1~X18 is used to represent the results of spindle coding, and 18 sub-categories are summarized according to the internal logic between categories, which are X1 government guarantee ability, X2 rule of law construction ability, X3 risk prevention and control ability, X4 tourism facility construction level, X5 information technology guarantee level, X6 rule of law business management platform, X7 investment level, X8 planning ability, X9 coordination ability, X10 rule of law management system improvement level, X11 government system improvement level, X12 rule of law service level, X13 information management, X14 information collection, X15 information protection, X16 eco-tourism resources, X17 resource development level, X18 government implementation and protection. On this basis, the sub-categories are summarized and expressed by MC1 “capability dimension”, MC2 “construction dimension”, MC3 “support dimension”, MC4 “information dimension” and MC5 “resource development dimension”.

3

Rule of law dilemmas and countermeasures for rural ecotourism development

3.1

Analysis of the rule of law dilemma in rural ecotourism development

3.1.1

Analysis of influencing factors based on the DEMATEL-ISM model

The study invites 20 experts to form a group of experts, including 11 public officials from government departments, 3 business managers, 2 tourism resource developers and 4 academics from universities, whose work content, job scope and research fields are rural ecotourism development or related fields.

The direct impact relationship matrix and comprehensive impact matrix of the rule of law dilemma of rural ecotourism development are shown in Figures 4 and 5. According to the analysis steps of DEMATEL-ISM model, relevant experts and scholars of rural ecotourism development research are invited to score the direct influence relationship between the key influence factors of the rule of law dilemma of rural ecotourism development, and the direct influence relationship matrix is finally obtained by collating the scores of the influence factors and taking the average value. Then calculate the normalized influence matrix, and then use MATLAB software to calculate the comprehensive influence relationship matrix.

The distribution of cause degree and center degree is shown in Figure 6, with the center degree as the horizontal axis and the cause degree as the vertical axis, the MATLAB software is used to draw the distribution map of the center degree and cause degree of each influencing factor, and at the same time, with reference to the method of determining the MICMAC quadrant of the key factors, the value of 0 and the average of the center degree of 0.680 are selected as the demarcation line for dividing the four-quadrant coordinate system. The cause degree of the factors in the first and second quadrants is greater than 0, and the cause degree of the factors in the third and fourth quadrants is less than 0. The centrality of the elements in the first and third quadrants is less than that of the elements in the second and fourth quadrants.

According to the comprehensive impact matrix, the degree of influence, the degree of being influenced, the center degree and the cause degree are calculated, and the results of the center degree and the cause degree are shown in Table 1. The size of the center degree reflects the size of the influence of these factors on the performance of rural drinking water safety engineering construction quality management factors, the larger the value of the center degree, the greater the influence. According to the results shown in the table, the top six influencing factors in terms of centrality are X5, X3, X17, X7, X4, X2, indicating that these six factors have a significant influence on the rule of law dilemma in rural ecotourism. The influencing factors ranked in the bottom three of the center degree are X14, X12, and X1, respectively. These three factors indicate that they have relatively weak influence on the rule of law dilemma.

Table 1.

The result of the center and the reason

Coding	Influence degree	Affected degree	Center degree	Sort	Reason	Sort	Factor attribute
X1	0.313	0.000	0.313	16	0.311	5	Cause factor
X2	0.752	0.000	0.753	6	0.750	1	Cause factor
X3	0.214	1.284	1.501	2	-1.07	17	Result factor
X4	0.475	0.472	0.948	5	0.001	11	Cause factor
X5	1.184	0.694	1.879	1	0.489	3	Cause factor
X6	0.000	0.324	0.325	15	-0.325	15	Result factor
X7	0.835	0.143	0.980	4	0.691	2	Cause factor
X8	0.312	0.145	0.456	11	0.168	9	Cause factor
X9	0.450	0.000	0.451	12	0.448	4	Cause factor
X10	0.000	0.670	0.670	8	-0.670	16	Result factor
X11	0.143	0.242	0.386	13	-0.100	14	Result factor
X12	0.174	0	0.175	17	0.172	7	Cause factor
X13	0.384	0.214	0.600	9	0.167	8	Cause factor
X14	0.000	0.082	0.083	18	-0.083	13	Result factor
X15	0.471	0.242	0.714	7	0.228	6	Cause factor
X16	0.143	0.203	0.347	14	-0.061	12	Result factor
X17	0.000	1.154	1.156	3	-1.156	18	Result factor
X18	0.260	0.242	0.504	10	0.017	10	Cause factor

Causal factors refer to the factors whose causality is >0. X2, X4, X5, X7, X15 in the first quadrant, X1, X8, X9, X12, X13, X18 in the second quadrant are causal factors, and these 11 causal factors can independently influence or affect other factors, thus influencing the emergence of rule of law problems in rural ecotourism.

The result factors refer to the factors with cause degree ≤ 0. X6, X10, X11, X14, X16 are the result factors in the third quadrant, and X3, X17 are the result factors in the fourth quadrant. These seven outcome factors are susceptible to fluctuations in other factors, which means that rule of law governance is necessary.

3.1.2

Incremental hierarchical model of relationships of the factors influencing the rule of law

ISM model can further analyze the analysis results on the basis of DEMATEL model, and carry out hierarchical division according to the importance of the influencing factors, so as to construct the explanatory structural model, which can show the mutual influencing relationship between the influencing factors more clearly in the form of charts, and make clear the influencing mechanism within the whole system.

The first and most important step of the ISM model is the setting of threshold λ, because the value of threshold λ is the criterion for the subsequent filtering of influence relations, which is directly related to the subsequent hierarchical structure. The node degree is composed of the sum of the center degree and the cause degree, and the node degree obtained by sieving the overall influence matrix with different thresholds λ is very different, and the optimal threshold can be selected by comparing different node degree curves.

Comparison of node degree under different thresholds is shown in Fig. 7, the value of threshold λ is not uniformly specified, this paper refers to the usual method of taking value, respectively, using the average value method to obtain the threshold λ₁ = 0.02, the mean value and the sum of standard deviation method to obtain the threshold λ₂ = 0.06. Comparative analysis of the node degree curves of threshold λ₁ and threshold λ₂ shows that the node degree of threshold λ₁ is larger than the node degree of threshold λ₂λ, but threshold λ₂λ sifts away more values of influence relations than threshold λ₁. In order to avoid over-simplification of the matrix caused by sieving away too high a threshold value, resulting in the loss of important influence relations. After comprehensive comparison, careful deliberation, combined with expert opinion, the threshold value in this paper is taken as 2λ = 0.06.

After determining the threshold value λ, the threshold value λ is substituted into the comprehensive influence matrix T, and the weaker influence relations are filtered out with the threshold value λ as the criterion, and the neighbor matrix is constructed. After constructing the adjacency matrix K, the adjacency matrix K is subjected to repeated iterative operations to obtain the reachability matrix U. After determining the reachable set, the antecedent set, and the intersection set of each influential factor through the reachability matrix U, the hierarchical division of influential factors is carried out in accordance with the steps of the ISM model. The three factor sets of each factor are observed according to the formula and it is found that X2, X3, X4, X11, X12, X15, X18 satisfy the conditions, then X2, X3, X4, X11, X12, X15, X18 are the bottom factors of the explanatory structural model, and X2, X3, X4, X11, X12, X15, X18 are deleted from the corresponding rows and columns in the reachable matrix U , and repeat the above steps until the influence hierarchy of all factors has been delineated. The specific factor hierarchy is shown below:

Tier 1 influences: X1, X5, X8, X14, X16

Second level of influences: X6, X7, X9, X10, X13, X17

Third layer of influencing factors: X2, X3, X4, X11, X12, X15, X18

According to the reachability matrix U and the hierarchical division of the influencing factors, the explanatory structural model is established, and the explanatory structural model of the influence mechanism of the rule of law dilemma in rural ecotourism is shown in Figure 8. The factors located in the same row in the figure belong to the same hierarchy, and the arrows indicate the direction of influence between the factors.

It can be seen from the hierarchical division of influence factors and the explanatory structure model:

X1 government security capacity, X5 information technology security level, X8 planning capacity, X14 information collection and X16 ecotourism resources are at level 3 in the explanatory structural model, which are the deeper influencing factors of rural ecotourism rule of law capacity.

X6 Rule of law business management platform, X7 Input degree, X9 Coordination ability, X10 Rule of law management system improvement level, X13 Information management and X17 Resource development level are located in layer 2 of the explanatory structural model, which are the middle level influencing factors affecting the rule of law capacity of rural ecotourism, and have the connecting role of the upper and lower layers in the explanatory structural model.

X2 Rule of law construction capacity, X3 Risk prevention and control capacity, X4 Tourism facilities construction level, X11 Government system improvement level, X12 Rule of law service level, X15 Information protection and X18 Government implementation and guarantee strength are located in the first level of the explanatory structural model, which is the surface level influencing factor, directly affecting the rule of law governance on rural ecotourism development.

3.2

Countermeasures to the plight of the rule of law in rural ecotourism development

There are multiple influence paths in the explanatory structure model, in which the dominant path is X8 tourism resource planning capacity → (X7 degree of input + X10 level of improvement of rule of law management system) → (X3 risk prevention and control capacity + X4 level of construction of tourism facilities + X15 information protection) → rule of law of rural ecotourism development, which is also the main improvement path of the dilemma of the rule of law of rural ecotourism development.

Tourism resources planning capacity is an important factor affecting the construction of the rule of law in rural ecotourism development, managers should put the improvement of the strategic planning capacity of government departments in the first place, in full consideration of the actual development of the city environment and conditions based on the development of a reasonable strategic plan, reflecting the construction objectives, construction cycle, key construction content and other important content. At the same time, according to the content of the strategic plan to ensure that the rule of law governance of rural ecotourism development of sufficient funds and the smooth flow of the financial chain. In terms of capital utilization, investments in rural ecotourism facilities should be increased, with a focus on improving infrastructure construction. At the same time, the rule of law management system should be improved based on the content of the strategic plan, focusing on strengthening the rule of law risk prevention and control capabilities, information protection and other standardized content, and improving the code of conduct for relevant personnel to help improve the level of the rule of law for the development of rural eco-tourism, so as to solve the dilemma of the rule of law for the development of rural eco-tourism.

4

Conclusion

This paper analyzes the influencing factors and influencing paths of the rule of law governance of rural ecotourism development based on the rooted theory using the DEMATEL-ISM method, and proposes countermeasures to face the rule of law dilemma. The main contents of this study are as follows: 1)

Based on the rooted theory, it constructs the influence factor indicators consisting of five dimensions, including capacity dimension, construction dimension, safeguard dimension, information dimension, resource development dimension, and determines the specific 18 influence factor indicators, which provides the theoretical foundation for the subsequent analysis and research of this paper.

2)

Using DEMATEL-ISM method to conduct in-depth research on the rule of law influencing factors on the development of rural ecotourism, calculate the degree of influence of each influencing factor, the degree of influence, the degree of the center and the degree of cause, according to the degree of the cause of each factor to further distinguish between the cause factor and the result factor. Among them, the rule of law construction capacity, tourism facilities construction level, information technology security level, the degree of investment, information protection, government security capacity, planning capacity, coordination capacity, the level of rule of law services, information management, government implementation and protection efforts for the cause factors, the rule of law of rural ecotourism problems independently or influence other factors, is the key to solve the rule of law of rural ecotourism problems.

3)

Using the DEMATEL-ISM method to accurately classify the influence level of influencing factors, the rule of law building capacity, risk prevention and control capacity, tourism facilities construction level, government system improvement level, rule of law service level, information protection and government implementation and guarantee strength is located in the first level of the explanatory structure model, for the surface level influencing factors, directly affecting on the rule of law governance of rural ecotourism development.

4)

According to the dominant path in the explanatory structure model, this paper puts the enhancement of the strategic planning capacity of government departments in the first place and proposes countermeasures to face the governance dilemma of rural ecotourism development.

Sprache:: Englisch

Zeitrahmen der Veröffentlichung:: 1 Hefte pro Jahr
Fachgebiete der Zeitschrift:: Biologie, Biologie, andere, Mathematik, Angewandte Mathematik, Mathematik, Allgemeines, Physik, Physik, andere

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Research on Rule of Law Dilemma and Countermeasures of Rural Ecotourism Development Based on Rooting Theory

Qingshan Xiao

Online veröffentlicht: 24. März 2025

Eingereicht: 11. Nov. 2024

Akzeptiert: 25. Feb. 2025

DOI: https://doi.org/10.2478/amns-2025-0728

SchlüsselwörterRootedness theory, DEMATEL model, ISM model, Rural ecotourism

© 2025 Qingshan Xiao, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Schlüsselwörter
Rootedness theory, DEMATEL model, ISM model, Rural ecotourism