Study on Synergistic Promotion of Party Building Leading Rural Ecological Construction and Social Governance Modernization under the Perspective of Common Wealth

Ecological restoration refers to the function of self-adaptation and self-organization in a system, which is able to reduce the burden of human beings on the system through natural means, so as to achieve the orderly development of the system. In other words, it is to make use of the self-healing function of the ecosystem as well as to take some effective means to make the ecological environment, which has been damaged, develop sustainably in a benign direction. The deepening interaction between human beings and the environment, as well as the influence of politics, technology, culture, economy and other aspects, makes it necessary to take the social and natural environment as an important consideration when exploring the collective action of human beings. It is important to combine immediate and long-term benefits within the constraints of resource and environmental tolerance; and the principle of commonality we must recognize world problems across cultural and historical boundaries in order to achieve a common purpose for all humanity. The reason why the karst region has arisen and received attention is that it has failed to find the path of sustainable development, ignored the harmonious coexistence of human beings and nature, and exceeded the tolerance of resources and the environment, thus causing the degradation of the ecosystem.

“Governance” refers to the integrated action of various actors, such as social groups and private groups, to manage collective affairs, to coordinate individual interests through the formulation of rules or informal agreements, and to provide general social recognition of such rules and informal agreements, which are characterized by coercion, compliance and reasonableness. Social management is the government, community, individuals and other subjects through equal dialogue, cooperation, consultation and communication, through legal ways to regulate social organizations, social affairs and social activities, so as to achieve the goal of maximizing the public interest of society as a whole. As China’s socio-economic development has seen the emergence of many voluntary, charitable, community, and civic organizations, their impact on the public has become increasingly significant. It is therefore necessary to change the previous view that the Government is the only actor in social and public affairs, and that the interaction of the Government, the market, and social forces is needed.

The social and ecological system is an organic and coherent whole made up of natural, social, and ecological hybrids that interact and are interconnected. Although the social, economic, and ecological elements of the system can be distinguished separately, they cannot easily be seen separately. The social-ecological system is not a mechanical combination of the three major subsystems - social, economic, and ecological - but an organic coordination of the three subsystems so as to realize the sustainable development of the ecosystem. Social-ecological systems integrate integrative theories like adaptation and vulnerability in an organic way, but their scope extends beyond that.

The synergistic interaction of subsystems within the social-ecological system is shown in Figure 1. The degree of collaborative behavior among the participants plays a very critical role in maintaining a good social-ecological environment and sustainable development. The ecological and economic development pattern of “party organization, government + enterprise + farmers” is a good collaborative operation model for ecological governance in rural areas. To strengthen the leadership of the party, we must give full play to the core position of the party committee, take the initiative to play the leading role of the government, the party committee and government control the overall situation, enterprises, social organizations, farmers as the main participant. Only through the leadership of the Party committee and government, the active provision of technical support by enterprises, the full cooperation of farmers, and the joint efforts of Party committees and governments at all levels and social workers, public health workers, enterprise technicians, mass mutual aid groups and other parties can the modernization of governance and the consolidation of the results of poverty eradication be won this hard battle.

Figure 1.

Social and ecological interaction

Based on the basic connotation of the modernization of rural ecological-social synergistic governance capacity and considering the objectivity, guidance, effectiveness and operability of the index system, this paper constructs the evaluation index system for the modernization of rural governance capacity from five aspects of the modernization of social governance capacity and the modernization of ecological governance capacity. The evaluation index system for modernizing rural governance capacity is shown in Table 1.

Based on the structural elements of governance capacity, taking into account the actual situation of the region and oriented towards the goal of socialist modernization, the assessment system for the modernization of governance capacity is constructed with a view to its objectivity, operability and effectiveness. Accordingly, the system of assessment indicators (2 first-level indicators, 7 second-level indicators).

Step 1: Analyze the relationship between each factor in the system and establish the recursive hierarchy model of the system:

When applying AHP to analyze the decision-making problem, the first step is to organize and hierarchize the problem and construct a progressive hierarchical result structure model. These levels can be divided into: goal level - the predetermined goal or desired outcome of the analysis problem; criterion level - the intermediate links or influencing factors involved in achieving the goal. Scenario level - the various options available to achieve the goal.

Step 2: Compare the importance of each factor at the same level with respect to the importance of a criterion factor at the previous level, determine its relative importance according to the judgment scale, and construct a comparison matrix accordingly.

Now the conditions are alternative set A = (a₁, a₂, …, a_n) and evaluation indicator set P = (p₁, p₂, …, p_m). Hierarchical analysis method mainly uses 1-9 ratio scale method to construct evaluation indicator ratio judgment vector. 1-9 ratio scale method refers to a quantitative means that people adopt when judging the importance of the indicator set, which compares the various factors and determines the value according to the importance to the target. For example, if C₁ = (c₁₁, c₁₂, …, c_1m) is taken, c_1i indicates the degree of importance of guideline level evaluation indicator P_i for P_i(i = 1, 2, …m), with 1, 3, 5, 7, 9 scale, such as P₁ and P_i are equally important, then c_1i = 1. P₁ is slightly more important than P_i, then c_1i = 3. P₁ and P_i are obviously important, then c_1i = 5. P₁ and P_i are strongly important, then c_1i = 7. P₁ and P_i are extremely important, then c_1i = 9. Instead, P_i and P₁ are compared, and c_i1 is taken to be the inverse of c_1i, and the value of the value of the value is taken to be between the above degrees of importance. Between the above levels of importance, take the median of the adjacent scales 2, 4, 6, and 8. Construct the type judgment ratio matrix, defined by the ratio scaling method of equation (1): (1){cii=1cij=1/cjicij=cik/cjk i,j,k=1,2,⋯m

After establishing the recursive hierarchical model, construct a two-by-two comparison of all the elements of the next level to any element of the previous level into a comparison judgment matrix A. Assuming that the element C of the previous level is the criterion, and the element of the next level dominated by it is P₁, P₂, ⋯, P_n, then A = (a_ij)_n×n where a_i is the proportionality scale of the importance of the elements P_i and P_j with respect to the criterion level C.

Step 3: Calculate the relative weights of the compared factors for the criterion from the into-contrast judgment matrix, and perform the consistency test of the into-contrast judgment matrix.

Let T = (t_i) be the upper triangular part of judgment matrix c, so that D = diag(ω₁, ω₂, ⋯ω_m), where d_i = m − i + 1, i = 1, 2…, m, it is clear that the largest eigenvalue of D⁻¹T is 1, and the eigenvector ω of the eigenvalue problem when ω_i is taken after: (2)ωm−1=cm−1,mωm(i=m−2,…,1) (3)ωi=1m−1∑j−i+1mcijωj(i=m−2,…,1)

Normalizing ω yields the sorting vector.

When the decision maker is given the upper (or lower) delta of the matrix, it is useful to consider the lower (or upper) delta portion as residual and replace this portion of the elements c_ij(i > j) by the ratio of the banded weights ω_i/ω_j, i.e., to form the following proposed reciprocal inverse matrix, i.e., C¯=(cij¯) where cij¯={ciji≤jωi/ωji>j (ω_iω_j is the number of weights to be determined) then the solution to the characterization problem C¯ω=λmaxω is an approximated solution to the ω weight vector.

By C¯ω=λmaxω that is: (4)[1c12c13⋯c1mω2ω11c23⋯c2m⋮⋯⋯⋯⋮⋮⋯⋯⋯cm−1,mωmω1⋯⋯⋯ωmωm][ω1ω2⋮⋮⋮⋮ωm]=λmax[ω1ω2⋮⋮⋮⋮ωm]

When ω_n is taken after λmax=m,ωm−1=cm−1,mωm,ω1=1m−i(∑i=1mciωj)i=m−2,⋯,1 .

Obviously, when the matrices C are identical, it can be seen from (cij¯)=C¯ that the results obtained by the eigenvector sorting method and the gradient eigenvector method are the same.

When solving the sorting vectors by the gradient eigenvector method, if the judgment matrices are not identical, the positions of the elements have different effects on the gradient eigenvector method. For the upper matrix c_{m−1, m} has the greatest impact, and from there upwards, with the increase of elements in each row, the impact of each element decreases accordingly, in order to calculate the exact, the following improvement can be made: the upper triangular transposition of the matrix inverted into the lower triangular to solve the eigenvalue problem: (5)[1ω2ω1c13⋯c1mc121c23⋯c2m⋮⋯⋯⋯⋮⋮⋯⋯⋯ωm−lωmcml⋯⋯⋯1][ω1ω2⋮⋮⋮⋮ωm]=λmax[ω1ω2⋮⋮⋮⋮ωm] (6)λmax=m,ω2=c21ω1ωi=1i−1(∑j=1i−1cijωj)i=3,4⋯,m

From the above reasoning, it can be seen that to determine the relative importance of each factor to the target, it is sufficient to ask for the eigenvector of the largest eigenvalue of the judgment matrix.

Calculate the largest eigenroot λ_max and its corresponding eigenvector w of each into-contrast judgment matrix, and calculate the consistency index CI and the consistency ratio CR, where CI=λmax−nn−1,CR=CIRI . (n is the order of matrix A and R is the average random consistency index). When CR < 0.1, the consistency of the judgment matrix is considered acceptable.

Step 4: Calculate the total ranking weights of each level of factors for the system objectives and rank them so as to provide a basis for decision making.

Let the ordering weight of the n_k−1 elements on layer k − 1 with respect to the total goal be w(k−1)=(w1(k−1),w2(k−1),⋯,wnk−1(k−1))T , the single ordering weight of the n_k elements on layer k with respect to the jth element on layer k − 1 as a criterion be Pjk=(p1(k),p2(k),⋯,pnkj(k))T , and the ordering of the elements on layer k with respect to the elements on layer k − 1 be the matrix P(k)=(p1(k),p2(k),⋯,pnk−1(k))T . Then the total ordering of the elements on layer k with respect to the goal is: (7)w(k)=(w1(k),w2(k),⋯,wnk(k))T=p(k)w(k−1)

i.e., w(k)=p(k)p(k−1)⋯p(2)w(2) (w⁽²⁾ is the total sorting weight of the elements on the second level).

The ideal judgment matrix should satisfy the complete consistency condition, if the mutual inverse judgment matrix C does not satisfy the complete consistency condition, then C is a non-consistent complementary judgment matrix. In order to ensure the credibility and accuracy of the judgment matrix ranking, it is necessary to test the consistency of the judgment quality.Saaty derives the consistency index of the mutually inverse judgment matrix: (8)CI=1m(m−1)∑1≤i<j≤m[cijωjωi+cjiωiωj−2]

This section of the questionnaire is designed under the theme of “Rural Party Organizations Leading the Modernization of Rural Governance”, focusing on what role rural Party organizations and Party members have played in the modernization of rural governance and how effective they have been, as well as surveying the evaluation of villagers, heads of social organizations, heads of economic organizations and other groups on the role of rural Party organizations in leading the modernization of rural governance. Evaluation of Leading Rural Governance Modernization.

In this paper, after comprehensively considering the distribution of villages, the population of each village, the village industry and economy, as well as the implementation of rural party organizations to lead rural governance, 7 key villages were selected and questionnaires were distributed to the full coverage of the remaining 67 villages. A total of 1,200 questionnaires were distributed in the research for this paper.

Combined with the object of study of this paper, i.e., the governance capacity of the seven focuses, this part uses correlation analysis to go on to study the relationship between the A~E synergistic governance capacity and the five competencies (party organization, modernization process, social, and ecological governance capacity), respectively, in order to prepare for the subsequent regression analysis. The results of the collation are shown in Figure 5.

Figure 5.

Correlation analysis

This paper uses correlation analysis to study the correlation coefficient values of a total of five research variables between collaborative governance capacity and party building organization, modernization process, society, and ecological governance capacity, respectively:0.78, 0.882, 0.822, 0.92The correlation coefficients all show significance and the correlation coefficients values are all greater than 0, which indicates that there is a significant positive correlation between the research variables and that the relationship is relatively more close.