Cooperative emission reduction path exploration method based on cross-regional construction engineering project group

Abstract

The invention relates to the technical field of carbon emission reduction, in particular to a collaborative emission reduction path exploration method based on a cross-regional construction engineering project group, and the method comprises the following steps: recognizing carbon emission influence factors of the cross-regional construction engineering project group; according to the collaborative emission reduction path exploration method for the cross-regional construction engineering project group, carbon emission influence factors of the cross-regional construction engineering project group and a collaborative relationship between the carbon emission influence factors under a novel urbanization background are identified, and a carbon emission system dynamic model of the cross-regional construction engineering project group is established according to the key influence factors; according to the method, the project group collaborative emission reduction path of the cross-regional construction project group under the novel urbanization background is clarified, carbon emission results under different paths are compared, the collaborative emission reduction optimal path is clarified, reference is provided for proposing a collaborative emission reduction strategy, and green and low-carbon development of the cross-regional construction project group under the novel urbanization background is promoted.

Description

Technical Field

[0001] The present invention relates to the technical field of carbon emission reduction, and particularly to a method for exploring collaborative emission reduction paths based on a cross-regional construction project group. Background Art

[0002] Currently, there is a lack of research on collaborative emission reduction from the perspective of the influencing factors of carbon emissions in construction project groups. Collaborative emission reduction is an important way to reduce carbon emissions and can achieve an incremental effect of "1 + 1 > 2". Currently, research on carbon emission reduction mainly proposes carbon emission reduction strategies for individual factors, ignoring the synergistic relationship between carbon emission influencing factors, and it is difficult to provide effective support for the collaborative control of carbon emissions in cross-regional construction project groups. Summary of the Invention

[0004] The purpose of the present invention is to propose a method for exploring collaborative emission reduction paths based on a cross-regional construction project group to solve the above-mentioned technical defect problems existing in the prior art.

[0005] To achieve the above purpose, the present invention adopts the following technical solutions: A method for exploring collaborative emission reduction paths based on a cross-regional construction project group includes the following steps: S100. Identify the influencing factors of carbon emissions in the cross-regional construction project group, and establish a system dynamics model of carbon emissions in the cross-regional construction project group based on the key influencing factors to clarify the collaborative emission reduction paths of the cross-regional construction project group and provide a reference for the proposal of collaborative emission reduction strategies; S200. Identify the influencing factors of carbon emissions in the cross-regional construction project group. Among them, the influencing factors of carbon emissions in the cross-regional construction project group include the following four categories, namely government and social factors, market factors, technical factors, and collaborative and integrated management factors; S300. Use the system dynamics in step S100 to simulate and analyze the carbon emission reduction effect of the collaborative emission reduction paths of the cross-regional construction project group, provide a basis for the subsequent proposal of collaborative emission reduction measures for the cross-regional construction project group. The proposed carbon emission reduction model for the cross-regional construction project group includes various key influencing factors of carbon emissions in step S200, and there are complex synergistic relationships among the key influencing factors, which can be regarded as a non-linear complex system. Based on the synergistic relationship among the influencing factors of carbon emissions in the cross-regional construction project group, visualize the synergistic relationship among the influencing factors of carbon emissions in the cross-regional construction project group and the carbon emission reduction collaborative paths through a causal loop diagram; S400. Through the visualization of the synergistic relationship among the influencing factors of carbon emissions and the exploration results of the carbon emission reduction collaborative paths in step S300, simulate and analyze the carbon emission reduction effect of the collaborative emission reduction paths of the cross-regional construction project group.

[0006] As a further description of the above technical solution: The government and social factors in step S200 include the incentives, guidance and support of government policies and regulations, the control and constraints of government policies and regulations, and the pressure of social opinion.

[0007] As a further description of the above technical solution: The market factors in step S200 include the low-carbon awareness of the construction enterprises of the cross-regional construction project group, the market competitiveness of the construction enterprises of the cross-regional construction project group, and the consumption tendency and low-carbon awareness of the end users.

[0008] As a further description of the above technical solution: The technical factors in step S200 include the low-carbon design level of the construction project group contractors, the low-carbon production and manufacturing capabilities of the raw materials and prefabricated components required for the construction of the cross-regional construction project group, the low-carbon construction technology level of the construction project group contractors, the technical level of clean treatment and recycling of construction waste in the cross-regional construction project group, the investment in new energy transportation tools in the construction materials transportation stage of the cross-regional construction project group, and the research and development and use costs of carbon emission reduction technologies.

[0009] As a further description of the above technical solution: The coordination and integration management factors in step S200 include the capital operation level of the cross-regional construction project group, the information integration and sharing level of the cross-regional construction project group, the logistics level of the cross-regional construction project group, the stability of the cross-regional construction project group, the low-carbon leading capabilities of the core enterprise and the flexibility of the cross-regional construction project group.

[0010] As a further description of the above technical solution: The system dynamics described in step S100 and step S300 are methods for finding the root cause of a problem from the internal structure of the system based on the causal feedback characteristics of the internal components of the system. The method uses a causal loop diagram to qualitatively analyze the system and a stock-flow diagram to quantitatively analyze the system. The method is suitable for the study of nonlinear, multi-feedback complex systems.

[0011] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are: In the present invention, the method for exploring the collaborative emission reduction path of the cross-regional construction project group identifies the carbon emission influencing factors of the cross-regional construction project group and the collaborative relationship among them under the background of new urbanization, establishes a system dynamics model of carbon emission for the cross-regional construction project group based on the key influencing factors, clarifies the collaborative emission reduction path of the cross-regional construction project group under the background of new urbanization, compares the carbon emission results under different paths, determines the optimal collaborative emission reduction path, provides a reference for the formulation of collaborative emission reduction strategies, and promotes the green and low-carbon development of the cross-regional construction project group under the background of new urbanization. Description of the Drawings

[0012] Figure 1 It is a schematic flow chart of a method for exploring the collaborative emission reduction path based on a cross-regional construction project group proposed by the present invention.

[0013] Figure 2 It is a collaborative network model diagram of the carbon emission influencing factors of the cross-regional construction project group in the present invention.

[0014] Figure 3 It is a causal loop diagram of carbon emission reduction of the cross-regional construction project group in the present invention. Detailed Embodiments

[0015] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0016] Please refer to Figures 1-3 , the present invention provides a technical solution: a method for exploring the collaborative emission reduction path based on a cross-regional construction project group, including the following steps: In the first step, identify the carbon emission influencing factors of the cross-regional construction project group, and establish a system dynamics model of carbon emission for the cross-regional construction project group based on the key influencing factors, clarify the collaborative emission reduction path of the cross-regional construction project group, and provide a reference for the formulation of collaborative emission reduction strategies.

[0017] In the second step, identify the carbon emission influencing factors of the cross-regional construction project group. Among them, the carbon emission influencing factors of the cross-regional construction project group include the following four categories, namely government and social factors, market factors, technical factors, and collaborative and integrated management factors, as specifically shown in Table 1.

[0018] Table 1 Table of Carbon Emission Influencing Factors of Cross-Regional Construction Project Group The specific content and analysis of the carbon emission influencing factors of the cross-regional construction project group determined by this research method are as follows: (1) Government and social factors (Z1) Construction project groups are in a specific social environment, and their development paths need to adapt to the ever-changing social background and government policies. Accordingly, the carbon emissions of construction project groups are also affected by the policies, regulations, controls, incentives, etc. formulated by the government and relevant social departments. The government and social factors determined in this method mainly include: incentives, guidance and support factors of government policies and regulations, control and constraints of government policies and regulations, and social pressure factors.

[0019] Incentive, guiding and supporting factors of government policies and regulations (Z11): The intervention of government policies such as carbon emission reduction-related subsidy policies, carbon trading market-related support policies, and low-carbon investment-related incentive policies is conducive to the smooth research and development and commissioning of carbon emission reduction technologies by enterprises undertaking cross-regional construction project groups, the successful establishment and orderly operation of carbon trading markets, and the gradual shaping and continuous strengthening of enterprises' low-carbon and energy-saving awareness, which ultimately affects the carbon emissions of cross-regional construction project groups.

[0020] Regulatory and constraining factors of government policies and regulations (Z12): The introduction of government policies and regulations such as corporate carbon emission limits, carbon emission tax rates, and real-time carbon emission detection has promoted low-carbon technology innovation, energy conservation and emission reduction plan formulation, and green development momentum of cross-regional construction project groups under regulatory pressure, ultimately affecting the carbon emissions of cross-regional construction project groups.

[0021] Social pressure factors (Z13): The public's recognition of low-carbon economic theory and green lifestyle, their concern about the carbon emissions of cross-regional construction project groups, their attitude and attention to the greenhouse effect and energy conservation and environmental protection issues, and the requirements of cross-regional construction project group contractors for their own reputation, all have an impact on the carbon emission behavior of cross-regional construction project group contractors, and ultimately affect the carbon emissions of cross-regional construction project groups.

[0022] (2) Market factors (Z2) In the context of the ever-expanding construction market, the development strategies and directions of the construction companies of cross-regional construction project groups are inevitably affected by factors from all aspects of the market. Therefore, market factors have a certain degree of influence on the carbon emissions of cross-regional construction project groups. Market factors mainly include: the low-carbon awareness of the construction companies of cross-regional construction project groups, the market competitiveness of the construction companies, and the consumption awareness and low-carbon awareness of end users.

[0023] Low-carbon awareness of construction project group contractors across regions (Z21): The low-carbon awareness of construction project group contractors across regions is the core driving force for promoting the progress of energy-saving technologies and the upgrading of low-carbon equipment of contractors. It affects the behavior choices and innovation orientations of contractors and ultimately impacts the carbon emissions of construction project groups across regions.

[0024] Market competitiveness of construction project group contractors across regions (Z22): Market competitiveness affects the willingness of construction project group contractors across regions to invest in low-carbon and their level of green low-carbonization, and ultimately impacts the carbon emissions of construction project groups across regions.

[0025] Consumption preferences and low-carbon awareness of end-users (Z23): The level of low-carbon awareness of end-users affects their choices of consumer goods. End-users with a higher level of low-carbon awareness tend to choose the outputs of construction project groups with energy-saving and environmental protection labels within a certain budget. Therefore, in order to better achieve the benefit goals, contractors will study and judge the consumption preferences and low-carbon awareness of end-users, and then discuss and adjust the investment in low-carbon production technologies and green energy-saving materials, ultimately impacting the carbon emissions of construction project groups across regions.

[0026] (3) Technical factors (Z3) Science and technology are the primary productive forces promoting the development of various industries. In the process of carbon emission reduction in construction project groups across regions, the improvement and enhancement of green low-carbon related technologies play an important role in reducing carbon emissions. The technical factors in this method include: the low-carbon design level of construction project group contractors, the low-carbon production and manufacturing capabilities of raw materials and prefabricated components required for the construction of project groups, the low-carbon construction technology level of construction project group contractors, the clean treatment and recycling technology level of construction waste in project groups, the investment in new energy transportation tools during the transportation stage of building materials (components) in project groups, and the R & D and usage costs of carbon emission reduction technologies.

[0027] Low-carbon design level of construction project group contractors across regions (Z31): Implement the concept of green low-carbon planning and design throughout the entire life cycle of construction project groups, promote the recycling of building materials, strengthen green design and green construction management, and ultimately impact the carbon emissions of construction project groups across regions.

[0028] Low-carbon production and manufacturing capabilities of raw materials and prefabricated components required for the construction of construction project groups across regions (Z32): The low-carbon production and manufacturing capabilities of raw materials and prefabricated components affect the carbon emissions during the building material extraction and production stage and the prefabricated component production stage of construction project groups across regions, and ultimately impact the carbon emissions of construction project groups across regions.

[0029] The low-carbon construction technology level of construction enterprises in cross-regional construction project groups (Z33): By introducing and improving low-carbon construction technologies, the energy efficiency has been promoted and the construction methods have been improved, which is conducive to the transformation from extensive construction to intensive construction, and ultimately affects the carbon emissions of cross-regional construction project groups.

[0030] The technical level of clean treatment and recycling of construction waste in cross-regional construction project groups (Z34): There are many recyclable materials in construction waste, such as waste rubber, waste glass, waste ceramics, waste wood, etc. Improving the technical level of clean treatment, recycling of construction waste is conducive to reducing carbon emissions in the building materials production stage through the resource-based recycling of construction waste, and ultimately affects the carbon emissions of cross-regional construction project groups.

[0031] The investment in new energy transportation tools in the transportation stage of building materials (components) in cross-regional construction project groups (Z35): Promoting the low-carbon transformation of transportation tool equipment and actively using new energy and clean energy transportation tools during transportation will reduce the consumption of fossil energy, and ultimately affect the carbon emissions of cross-regional construction project groups.

[0032] The R & D and use costs of carbon emission reduction technologies (Z36): According to the relevant policies of carbon emission trading and carbon tax in China, each enterprise has limited carbon emission quotas, and the excess carbon emissions are affected by price-based policy tools. Therefore, construction enterprises in cross-regional construction project groups need to measure and compare the R & D and use costs of carbon emission reduction technologies and the costs generated by excessive carbon emissions. The choices of enterprises will affect the carbon emissions of cross-regional construction project groups.

[0033] (4) Synergy and integration management factors (Z4) The synergy and integration management level of cross-regional construction project groups will also affect the carbon emissions of the project groups. The synergy and integration management factors of cross-regional construction project groups mainly include: the capital operation level of cross-regional construction project groups, the information integration and sharing level of cross-regional construction project groups, the logistics level of cross-regional construction project groups, the stability of cross-regional construction project groups, the low-carbon leading ability of core enterprises, and the flexibility of cross-regional construction project groups.

[0034] The capital operation level of cross-regional construction project groups (Z41): The good capital operation of cross-regional construction project groups is the basis for the R & D and improvement of related technologies such as carbon emission reduction technologies, low-carbon construction technologies, and waste clean recycling technologies, and ultimately affects the carbon emissions of cross-regional construction project groups.

[0035] Information integration and sharing level of cross - regional construction project groups (Z42): A good information integration and sharing level is conducive to the flow and interconnection of information, thereby promoting the capture and response of effective information, enabling construction enterprises to adjust and select low - carbon behaviors based on the information, and ultimately affecting the carbon emissions of cross - regional construction project groups.

[0036] Logistics level of cross - regional construction project groups (Z43): Cross - regional construction project groups affect the inventory of precast component factories and construction sites of each sub - project in the project group by managing and controlling the logistics process, arranging and applying logistics equipment and technologies, and ultimately affect the carbon emissions of cross - regional construction project groups.

[0037] Stability of cross - regional construction project groups (Z44): The stability of cross - regional construction project groups means whether each sub - project can be implemented smoothly and orderly. It is an important foundation for the smooth progress of carbon emission reduction work and the cultivation of low - carbon awareness, and ultimately affects the carbon emissions of cross - regional construction project groups.

[0038] Low - carbon leading ability of core enterprises (Z45): The key core enterprises among the construction enterprises of cross - regional construction project groups have a certain call and driving role for other relevant enterprises, thus affecting the generation of low - carbon behaviors and the formulation of low - carbon strategies of other relevant enterprises, and ultimately affecting the carbon emissions of cross - regional construction project groups.

[0039] Flexibility of cross - regional construction project groups (Z46): The flexibility of cross - regional construction project groups reflects the group's own response and adjustment ability in the face of external uncertain factors. It is conducive to ensuring the orderly implementation and promotion of the low - carbon operation strategies and low - carbon technology R & D processes of the construction enterprises of cross - regional construction project groups, and ultimately affects the carbon emissions of cross - regional construction project groups.

[0040] Since there are many factors affecting the carbon emissions of cross - regional construction project groups initially determined and the enterprise resources are limited, it is impossible to take corresponding control measures for all influencing factors simultaneously. To rationally use the resources of the project group and make the limited resources play the greatest effect, it is necessary to further analyze the factors affecting carbon emissions to identify the key influencing factors and manage them, so as to achieve the effects of accurate and effective control, saving control resources, and reducing control costs.

[0041] Due to the various synergistic relationships among the factors affecting the carbon emissions of cross - regional construction project groups, the relationships among the influencing factors are intertwined and complex, which brings great difficulties to accurately identifying the key influencing factors. Therefore, this method analyzes the synergistic relationships among the factors affecting carbon emissions and uses the DSM matrix to visualize the synergistic relationships among the influencing factors, such as Figure 1As shown in the figure. Among them, DSM(i, j) represents the value in the i-th row and j-th column of the matrix. For example, the value in the 2nd column of the 1st row in the matrix is DSM(1, 2) = 1, indicating that there is a synergistic relationship between the influencing factor Z2 and Z1. If it is 0, it means that there is no synergistic relationship between the two influencing factors, as shown in Table 2 specifically.

[0042] Table 2 DSM Matrix Table of Synergistic Relationship of Carbon Emission Influencing Factors in Cross-regional Construction Project Groups

[0043] To more clearly and intuitively display the synergistic relationship between carbon emission influencing factors, the data in the matrix are input into the network visualization software Ucinet 6.0. Taking the carbon emission influencing factors in cross-regional construction project groups as nodes and the synergistic relationship between carbon emission influencing factors as edges, a network model of carbon emission influencing factors in cross-regional construction project groups is constructed. The result is as Figure 2 shown. Among them, different colors represent different categories of influencing factors: red nodes represent government and social factors, purple nodes represent market factors, green nodes represent technical factors, and blue nodes represent synergy and integration factors.

[0044] This exploration method comprehensively uses social network measurement indicators such as degree centrality, efficiency centrality, and betweenness centrality to evaluate the key importance of nodes in the synergistic network of influencing factors in cross-regional construction project groups to obtain key influencing factors, as follows: (1) Degree centrality In a complex network, the degree k i represents the total number of adjacent nodes / connected edges to a node, which can be defined through an adjacency matrix and is a basic parameter used to describe the local characteristics of the network. In the synergistic network of carbon emission influencing factors, the degree of an influencing factor node can be divided into in-degree and out-degree. The in-degree represents the number of edges pointing to a node, representing the synergistic effect of other carbon emission influencing factors on the carbon emission influencing factor being pointed to; the out-degree represents the number of edges from a node pointing to other nodes, representing the synergistic effect of this carbon emission influencing factor on other carbon emission influencing factors; the degree represents the nature of a single carbon emission influencing factor, reflecting the importance of this carbon emission influencing factor in the synergistic network. The calculation formula for the degree centrality of node i is as follows:

[0045] (2) Efficiency centrality Efficiency centrality describes the central position of a node in a network and measures the ease with which carbon emission influencing factors synergistically act on other influencing factors. A node with a higher efficiency centrality means it is in a more central position in the carbon emission influencing factor synergy network, that is, the importance of this carbon emission influencing factor is higher. Efficiency centrality is generally denoted by EC, and the expression for the efficiency centrality of a certain node i in the network is as follows:

[0046] where dist(i,j) is the shortest path from node i to j.

[0047] (3) Betweenness centrality When betweenness centrality is applied to the criticality assessment of carbon emission influencing factors, it can reflect the comprehensive influence of carbon emission influencing factors in the network. Different from the node degree, betweenness centrality focuses more on describing the global importance of carbon emission influencing factors. The betweenness centrality of a carbon emission influencing factor node refers to the proportion of the number of shortest paths passing through this carbon emission influencing factor in all shortest paths in the network. The expression for the betweenness centrality of a certain node i in the network is as follows:

[0048] where gst(i) represents the number of shortest paths passing through node i between node s and node t, and g st represents the total number of all shortest paths between node s and node t.

[0049] (4) Node intimacy influence Node intimacy influence is an evaluation method that comprehensively considers the intimacy between a node and its neighbors and the number of neighbors of the node. The criticality of a carbon emission influencing factor is not only related to the factor itself, but also the collaborative topological structure between adjacent carbon emission influencing factors and this factor will also affect the criticality of this factor. Considering the topological structure information between neighbor nodes and nodes, the intimacy function between carbon emission influencing factor nodes i and j is defined as:

[0050] where n(i) and n(j) represent the sets of neighbor nodes of nodes i and j, represents the number of common neighbors of the two nodes, represents the number of all neighbors of the two nodes. Combining the node intimacy (indirect influence) with the node degree (direct influence), the calculation formula for node intimacy influence is:

[0051] This method uses the AHP-entropy weight method. That is, after calculating the weights using the AHP and entropy weight methods respectively, the two are combined through the multiplicative weighting method to determine the comprehensive weight of the measurement index. The calculation formula is as follows.

[0052]

[0053] Combined with the AHP-entropy weight method and formula (1-6), the weights of degree centrality, efficiency centrality, betweenness centrality, and node intimacy influence are calculated to be (0.25, 0.14, 0.49, 0.12) respectively. Combining the values of the four network measurement indexes and their corresponding weights, the criticality values of each carbon emission influencing factor of this method are calculated. The calculation formula is as follows:

[0054] Among them, AS i is the criticality evaluation value of the influencing factor node i, w 1 -w 4 are the weights of the four measurement indexes respectively, and r i1 -r i4 are the values of the four measurement indexes corresponding to node i. Through the criticality evaluation of carbon emission influencing factors, the top 9 carbon emission influencing factors with the highest criticality values are taken as the key carbon emission influencing factors of the cross-regional construction project group, and the table of carbon emission key influencing factor nodes and their corresponding measurement index values is listed in Table 3.

[0055] Table 3 Table of criticality evaluation values of carbon emission influencing factors The evaluated key influencing factors are shown in Table 4, which are the incentive guidance and support of government policies and regulations (Z11), the low-carbon awareness of the enterprises undertaking the cross-regional construction project group (Z21), the control and restraint factors of government policies and regulations (Z12), the consumption tendency and low-carbon awareness of end-users (Z23), the low-carbon design level of the enterprises undertaking the cross-regional construction project group (Z31), the low-carbon production and manufacturing capacity of raw materials, tools and prefabricated components required by the enterprises undertaking the cross-regional construction project group (Z32), the stability of the cross-regional construction project group (Z44), the low-carbon construction technology level of the enterprises undertaking the cross-regional construction project group (Z33), and the information integration and sharing level of the enterprises undertaking the cross-regional construction project group (Z42).

[0056] The identification of the above key influencing factors lays a foundation for the subsequent exploration of the collaborative emission reduction path of the cross-regional construction project group and the proposal of corresponding carbon emission control measures.

[0057] Table 4 Key carbon emission influencing factors of cross-regional construction project group Step 3: To further explore the collaborative emission reduction paths of cross-regional construction project groups and analyze the collaborative emission reduction effects of each path, this research method uses the system dynamics in Step 1 to simulate and analyze the carbon emission reduction effects of the collaborative emission reduction paths of cross-regional construction project groups, providing a basis for the subsequent proposal of collaborative emission reduction measures for cross-regional construction project groups. System dynamics is a method that seeks the root causes of problems from the internal structure of the system based on the feedback characteristics of the internal components of the system being causally related to each other. It conducts qualitative analysis of the system through causal loop diagrams and quantitative analysis of the system using stock and flow diagrams, and is applicable to the research of non-linear and multi-feedback complex systems.

[0058] The proposed carbon emission reduction model for cross-regional construction project groups includes various key carbon emission influencing factors in Step 2, and there are complex synergistic relationships among the key influencing factors, which can be regarded as a non-linear complex system. Therefore, this research method uses system dynamics to explore the collaborative carbon emission reduction paths of cross-regional construction project groups. First, based on the synergistic relationships among the influencing factors of cross-regional construction project group carbon emissions, the synergistic relationships among the influencing factors of cross-regional construction project group carbon emissions and the collaborative carbon emission reduction paths are visualized through causal loop diagrams, specifically as Figure 3 shown.

[0059] Step 4: Through the exploration results of visualizing the synergistic relationships among the carbon emission influencing factors and the collaborative carbon emission reduction paths in Step 3, simulate and analyze the carbon emission reduction effects of the collaborative emission reduction paths of cross-regional construction project groups.

[0060] As Figure 3 known, there are complex synergistic relationships among the key influencing factors of cross-regional construction project groups. The interaction and mutual influence of these factors are the basis for forming the collaborative emission reduction paths of cross-regional construction project groups. The specific synergistic effects of each factor are as follows: Low-carbon production and manufacturing capacity of the contractors of cross-regional construction project groups → Low-carbon construction technology level of the contractors of cross-regional construction project groups: The relevant low-carbon production and manufacturing processes of the contractors of construction project groups can also be applied in the construction stage of the contractors of construction project groups, promoting the improvement of the low-carbon construction behavior of the contractors of construction project groups, and thus contributing to the improvement of the low-carbon construction technology level of the contractors of construction project groups.

[0061] Low-carbon design level of the contractors of cross-regional construction project groups → Low-carbon construction technology level of the contractors of cross-regional construction project groups: When the contractors of construction project groups pay more attention to the low-carbonization of the entire life cycle of construction projects during the low-carbon design stage, it will lead to an increased focus on the low-carbon construction technology level during operation and use to meet the requirements of the low-carbon design plan, thereby reducing the carbon emissions of cross-regional construction project groups.

[0062] The information integration and sharing level of construction project group contractors across regions → The stability of construction project groups across regions: A good information integration and sharing level of contractors indicates that the enterprise's information can be collected and shared in real time, which can not only improve the collaboration efficiency and work quality in the internal operation process of the enterprise, but also provide more comprehensive analysis support for the enterprise to gain insights into market trends and competitors, enabling the enterprise to maintain stability and achieve sustainable development in the face of various external impacts and competitions.

[0063] The regulation and constraint of government policies and regulations → The low-carbon design level of enterprises in construction project groups across regions: Under the regulation and constraint of government policies related to environmental protection, enterprises will strengthen their attention to environmental protection, deepen low-carbon design, promote the green transformation of enterprises, and advocate low-carbon, environmentally friendly, and sustainable production methods and business models. This will form a driving mechanism to lead enterprises to deeply participate in low-carbon design, thereby promoting changes in the carbon emissions of construction project groups across regions.

[0064] The incentive, guidance, and support of government policies and regulations → The low-carbon awareness of construction project group contractors: By formulating government policies such as carbon emission reduction subsidy policies, support policies related to the carbon trading market, and incentive policies related to low-carbon investment, the government is conducive to improving the enthusiasm of construction project group contractors to carry out low-carbon work, guiding enterprises to gradually transform towards a low-carbon economy, and continuously enhancing their attention and ability to save energy and reduce consumption in development, thus boosting the improvement of low-carbon awareness.

[0065] The incentive, guidance, and support of government policies and regulations → The low-carbon construction technology level of construction project group contractors across regions: By formulating government policies such as carbon emission reduction subsidy policies, support policies related to the carbon trading market, and incentive policies related to low-carbon investment, the government is conducive to promoting construction project group contractors to accelerate the process of low-carbon technology transformation under the goal of obtaining subsidies, and then improving the low-carbon construction technology level of construction project group contractors.

[0066] The low-carbon awareness of construction project group contractors across regions → The regulation and constraint of government policies and regulations: If the low-carbon awareness of construction project group contractors is relatively weak, the government will issue corresponding policies and regulations and implement relevant control measures to strengthen the control of the carbon emission behavior of contractors, thereby promoting the reduction of carbon emissions of construction project group contractors across regions.

[0067] The low-carbon awareness of construction project group contractors across regions → The low-carbon design level of construction project group contractors across regions: Construction project group contractors with higher carbon awareness will incorporate low-carbon concepts into the enterprise's strategic planning and implement them in the enterprise's action plan. The investment in green design funds and the intensity of green construction management in low-carbon design plans will also increase accordingly, which has a positive effect on carbon emission reduction.

[0068] Final user consumption tendency and low-carbon awareness → Low-carbon awareness of construction project group contractors across regions: When the low-carbon awareness of end-users increases, they will be more inclined to choose low-carbon products when consuming, leading to an increase in the consumption volume and demand for low-carbon products. At this time, in order to win the support of potential consumers, construction project group contractors will deliberately promote the enhancement of their own low-carbon awareness, manifested as contractors being more willing to invest in the research and development of low-carbon emission reduction technologies and implement low-carbon behaviors, etc.

[0069] As described above, it is only the preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention, according to the technical solution and inventive concept of the present invention, making equivalent substitutions or changes should be covered within the protection scope of the present invention.

Claims

1. A method for exploring collaborative emission reduction paths based on a cross-regional construction project group, characterized in that: The following steps are involved: S100. Identify the factors affecting carbon emissions of cross-regional construction project groups, and establish a system dynamics model of carbon emissions of cross-regional construction project groups based on key influencing factors, clarify the collaborative emission reduction path of cross-regional construction project groups, and provide a reference for the proposal of collaborative emission reduction strategies; S200. Identify the factors affecting carbon emissions of cross-regional construction project groups. The factors affecting carbon emissions of cross-regional construction project groups include the following four categories: government and social factors, market factors, technical factors, and coordination and integrated management factors; S300, using the system dynamics in step S100 to simulate and analyze the carbon emission reduction effect of the coordinated emission reduction path of the cross-regional construction project group, to provide a basis for the subsequent cross-regional construction project group carbon emission coordinated emission reduction measures. The proposed cross-regional construction project group carbon emission reduction model includes multiple key influencing factors of carbon emissions in step S200, and there is a complex synergistic relationship between the key influencing factors, which can be regarded as a nonlinear complex system. Based on the synergistic relationship between the carbon emission influencing factors of the cross-regional construction project group, the synergistic relationship between the carbon emission influencing factors of the cross-regional construction project group and the carbon emission reduction synergistic path are visualized through a causal loop diagram; S400, by visualizing the synergistic relationship between carbon emission influencing factors and the carbon emission synergistic path exploration results in step S300, simulate and analyze the carbon emission reduction effect of the synergistic emission reduction path of the cross-regional construction project group.

2. A collaborative emission reduction path exploration method based on a cross-regional construction project group according to claim 1, characterized in that: The government and social factors in step S200 include the incentives, guidance and support of government policies and regulations, the control and constraints of government policies and regulations, and the pressure of social opinion.

3. The method for exploring collaborative emission reduction paths based on a cross-regional construction project group according to claim 1 is characterized in that: The market factors in step S200 include the low-carbon awareness of the construction enterprises of the cross-regional construction project group, the market competitiveness of the construction enterprises of the cross-regional construction project group, and the consumption tendency and low-carbon awareness of the end users.

4. The method for exploring collaborative emission reduction paths based on a cross-regional construction project group according to claim 1 is characterized in that: The technical factors in step S200 include the low-carbon design level of the construction project group contractors, the low-carbon production and manufacturing capabilities of the raw materials and prefabricated components required for the construction of the cross-regional construction project group, the low-carbon construction technology level of the construction project group contractors, the technical level of clean treatment and recycling of construction waste in the cross-regional construction project group, the investment in new energy transportation tools in the construction materials transportation stage of the cross-regional construction project group, and the research and development and use costs of carbon emission reduction technologies.

5. The method for exploring collaborative emission reduction paths based on a cross-regional construction project group according to claim 1 is characterized in that: The coordination and integration management factors in step S200 include the capital operation level of the cross-regional construction project group, the information integration and sharing level of the cross-regional construction project group, the logistics level of the cross-regional construction project group, the stability of the cross-regional construction project group, the low-carbon leading capabilities of the core enterprise and the flexibility of the cross-regional construction project group.

6. The method for exploring collaborative emission reduction paths based on a cross-regional construction project group according to claim 1 is characterized in that: The system dynamics described in step S100 and step S300 are methods for finding the root cause of a problem from the internal structure of the system based on the causal feedback characteristics of the internal components of the system. The method uses a causal loop diagram to qualitatively analyze the system and a stock-flow diagram to quantitatively analyze the system. The method is suitable for the study of nonlinear, multi-feedback complex systems.

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