Regulatory Costs Research Articles

Creating group drawings for the same type of products in the Autodesk Inventor program environment

This article describes an algorithm for constructing models of the same type of parts with the subsequent execution of a group drawing and a detailed description of all operations and commands performed in the Autodesk Inventor environment. Information is provided on the design of group drawings in accordance with the standards of the Unified System of Design Documentation. In mechanical engineering, there are products that include several parts of the same type that have common design features. In order to reduce the total volume of design documentation when developing a group of products with common design features, it is necessary to carry out common group and basic design documents for such products instead of single documents for each execution of a product from this group. Thus, as a result of reducing the costs of drafting, manufacturing and registration of working drawings, the economic efficiency of unification and standardization of design documentation is achieved. The group design document contains permanent data reflecting the general design features of a group of products, and variable data characterizing some differences of products in this group. The rules for the execution and handling of group and basic documents are established by GOST 2.113–75. Products for which one group main design document (a group drawing of parts or a group specification) is executed are considered as a group of designs. At the same time, it should be possible to independently manufacture, use and account for each execution. For such parts, it is advisable to perform one group drawing containing all the necessary information about two or more such parts. A group drawing of products significantly reduces the number of technical documents and allows you to speed up the release of a set of drawings. The article presents the rationale for the introduction of such graphic works for students studying the course of engineering and computer graphics.

Financial Viability of Business Models For Engineered Vertical Hydroponics Systems For Sustainable Onion Production in The Philippines

This study aimed to explore the financial, socio-economic, and environmental benefits of sustainable onion production using vertical farming and hydroponic systems, and to identify key factors affecting the viability of these business models. Data were collected through a survey of onion farmers and producers in the Philippines, and analyzed using descriptive and inferential statistics. Results showed that sustainable onion production using vertical farming and hydroponic systems has the potential to generate higher income for farmers, increase employment opportunities, improve food security, enhance market competitiveness, and promote environmental sustainability. Key financial factors affecting viability included production costs, market prices, yield, labor costs, energy costs, capital costs, financing costs, taxes and regulatory costs, and maintenance and repair costs. Recommendations for optimizing financial viability include reducing production costs, diversifying income streams, and improving market competitiveness. Overall, this study suggests that sustainable onion production using vertical farming and hydroponic systems is a viable and promising approach to achieving socio-economic and environmental sustainability in the agricultural sector.

AI Carbon Footprint Management with Multi-Agent Participation: A Tripartite Evolutionary Game Analysis Based on a Case in China

AI is playing an important role in promoting sustainable development, but the carbon footprint caused by AI is scaling quickly and may partly offset the effort to reduce carbon emissions. However, recommendations for limiting the AI carbon footprint are lacking. In order to address this gap in the literature, this paper first constructs a tripartite evolutionary game model by taking governments, AI industry alliances, and consumers into consideration, and then exploring the impacts of key factors on these three players’ strategy selection based on the case of smart air conditioner consumption in China. The results show that the behavior of governments has an important influence on the behavior of AI industry alliances and consumers. The ideal consequence is that governments adopt an unregulated strategy, AI industry alliances adopt a green development strategy, and consumers adopt a green purchase strategy. Regulation by governments is indispensable for limiting the AI carbon footprint during an early stage but becomes dispensable when the system reaches an optimal state. Although a tendency toward green consumption, image benefit, regulatory cost, carbon price, and the subsidies given to consumers and AI industry alliances can largely influence the strategy selection of governments, governments are most sensitive to carbon prices and the subsidies given to consumers. AI industry alliances are not sensitive to subsidies, reputation improvement, and reputation loss but are most sensitive to carbon prices. Consumers are most sensitive to green consumption tendencies, self-satisfaction, and utility but are not sensitive to subsidies.

RWD110 A Retrospective Analysis of Medicare Part D Compounded Products: Evaluating the Utilization of Compounded Products and Investigating the Limitations of Pharmacy Claims Data Reporting

To evaluate the utilization of Medicare Part D compounded drugs and identify limitations in pharmacy claims data reporting to develop the framework for future studies to improve regulatory oversight and cost transparency.

Regulatory frameworks and small and medium-sized enterprises growth in Sierra Leone: The mediating role of informality

Business environment plays a vital role in enhancing SMEs formalisation and development. Accordingly, heavy regulation due to burdensome procedures and high cost of registration is detrimental for every business, more especially SMEs. This study therefore was undertaken to assess the nexus between regulatory frameworks and SMEs growth, by specifically investigating the mediating role of informality. The specific objectives were to assess the causes of informality among Small and Medium-sized Enterprises in Sierra Leone and to evaluate the effect of informality among small and medium-sized enterprises in Sierra Leone. The study adopted a descriptive research design that collected primary data from a sample of one hundred (100) using questionnaires. Descriptive statistical analysis was done using SPSS v26 and Microsoft Excel. Findings from the study assessed the causes of informality among SMEs and evaluated the effect of informality on SMEs by examining the problems faced by informal SMEs and the benefits of operating a registered business. The results showed that the problems faced by informal SMEs collectively affect their growth. The study concluded that the regulatory framework links SMEs to growth opportunities through the collective benefits derived from operating a registered business. The study further made recommendations on how to promote SMEs formalisation.

Evolutionary game analysis of stakeholders in Villages-in-City reconstruction: Pazhou village as an example

Villages-in-City reconstruction involves many stakeholders, and how to coordinate the interests of participating parties and achieve a balanced and accepted cooperation is the key to successful reconstruction. Previous studies have mainly considered the relationship between stakeholders in urban villages from a static perspective without the irrational behavior of stakeholders. This study’s objective is to construct a three-party evolutionary game model of government, villagers, and developers to address the limited rational behavior of stakeholders’ strategy choices. In this study, the reconstruction of Pazhou village in Guangzhou is used as an empirical analysis example to verify the evolutionary model’s validity in MATLAB. Results show that: the Evolutionary Stable State or Strategy is influenced by the severity of government punishment and subsidies, incentive policies, regulatory costs and the participation of all parties. Thus, the government should strengthen publicity and guidance at the early stage of the project to enhance the willingness of village collectives to participate and cooperate through appropriate interest guarantees. Meanwhile, it can appropriately increase the support for developers to increase their enthusiasm. While the project is launched, the government should regulate and supervise the project and weaken the support until it fades out to achieve a win-win situation. This study provides a theoretical basis for governments to formulate urban renewal and reconstruction policies, in addition to providing decision-making guidance for enterprises.

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FORENSIC SCIENCE Reactions ShareShare onFacebookTwitterWechatLinked InRedditEmail C&EN, 2023, 101 (16), p 3May 22, 2023Cite this:C&EN 101, 16, 3Letters to the editorPortable spectrometers’ implications for court casesAs a defense lawyer in Toronto, I read with interest “Portable Spectrometers Give On-Site Testing a Boost,” by Carolyn Wilke (C&EN, April 17/24, 2023, page 28). These new, often handheld, devices may well be better than the more traditional color tests or wet-chemistry kits. But the article doesn’t go into detail about the important distinction between these valuable law enforcement investigative tools and eventual proof in court to convince a judge for the criminal law requirement of beyond a reasonable doubt.And it would appear that neither these new devices nor the color tests measure quantity, which may be important for eventual court determination of guilt and sentencing.In Canadian law, there is another, more problematic concern, for which these new devices would not help. It is apparent government policy and practice to not reveal the science behind drug determinations. There is no proper scientific report. For years, qualitative disclosure has effectively been prevented with Controlled Drugs and Substances Act s. 51. More recently, disclosure of the science behind quantitative measurements has simply been declined by Crown counsel.This is a matter of both science policy and justice:▸ Unexplained science is bad science—for that reason alone.▸ Nondisclosure by the Canadian federal government strikes at the heart of the concepts of justice. This is perhaps especially important for police stings wherein the target may be an individual with addiction or other disadvantages trading in small quantities of drug—in serious jeopardy for significant jail time.Perhaps of greatest concern is that hardly any of the personnel of the Canadian legal system would seem to be concerned with these problems of science policy and justice. Or concerned that the Controlled Drugs and Substances Act s. 51 remains as law. And perhaps the coming availability of the new devices would falsely allay that there are serious problems of scientific and legal principle.Michael GrossmanTorontoIndustry membershipWhen I read in your editorial in the April 10 issue about the decline in American Chemical Society industry memberships (page 2), a possible explanation was given in the same place. “As a businessperson, Rothrock doesn’t get as much out of ACS meetings as she once did.”I work in industrial R&D and attended the ACS Spring meeting in Indianapolis. It is very obvious that these meetings are heavily focused on academics. Companies send representatives to many other more industry-focused conferences and trade shows and don’t see the value of an academia-heavy additional conference. But in industrial conferences, companies don’t share details of the chemistry they are doing with others—obviously. And this is exactly the advantage of ACS meetings: most chemistry is openly shared and discussed. I saw this as a great opportunity to get ideas and inspiration for my work projects in industry, even though we are actually working on entirely different things than what was shown at the ACS meeting. However, you know what you work on and check out related chemistry shown in talks and posters. Students and professors happily discuss their work with you. And the combined costs of ACS membership and conference registration are far less than the fees typically paid at many industrial conferences.It may depend on what you do in industry. But companies should realize that attending ACS meetings and being a member can add a lot of value to them as well.Martin GloddePine Brook, New JerseySlogan for ACSAfter reading Donna Peterson’s letter in the May 1 issue of C&EN (page 3), I propose that all readers of this quality publication help further craft an American Chemical Society slogan that might catch public attention. My suggestions would be “Chemistry for better living on a better planet!” or “Better living on a better planet through chemistry!”Thomas Andrew RungeRichland, Michigan CorrectionsMay 1, 2023, page 8: The news story about a partnership between Gevo and LG Chem to develop technology for biobased propylene misstates the product LG Chem plans to make. LG wants to use biobased propylene to make chemicals, not sustainable aviation fuel and renewable diesel.May 8, 2023, page 3: The news article on GSK’s respiratory syncytial virus vaccine gives an incorrect title for Andrew McConaghie. He is a senior writer, not analyst, at Citeline.

Strategies for Adapting to the Increased Labor and Fuel Costs for Commercial Fishing Boat Operators: Case Study in Tha Sala District, Nakhon Si Thammarat Province, Thailand

The objective of this study is twofold: 1) to examine the cost and return structure of commercial fishing boat operators in Tha Sala district, Nakhon Si Thammarat province, and 2) to study the adjustment strategies and assistance measures for the group of commercial fishing boat operators in Tha Sala district, Nakhon Si Thammarat province. The sources of data used in this research are 1) commercial fishing boat operators in Tha Sala district, Nakhon Si Thammarat province, and 2) government agencies related to commercial fishing boats. The study will use a snowball sampling technique, focus group discussions, and in-depth interviews with a set of predetermined questions. The results of the study show that the cost and return structure comprises five constant costs: labor costs, foreign document costs, boat registration costs, boat permit costs, and straight-line depreciation costs. Since 2020, the average cost per year has been 442,425 baht. In 2021, the average cost is still 442,425 baht, while in 2022, it increases to 445,425 baht due to fluctuations in cost factors, which include fuel prices, rice prices for fishermen, ice costs, and maintenance expenses. The return on investment for the past three years has been continuously decreasing, with an average of 7,200,000 baht in 2020, 6,200,000 baht in 2021, and 2,700,000 baht in 2022. The fishing boat operators have made adjustments in three areas to combat rising fuel costs: reducing work days, adjusting product processing, and relying on technology and innovation. However, the government and other public entities have no direct role in assisting commercial fishing boat operators dealing with rising labor costs and fuel prices. The only indirect assistance comes through a loan project that uses the fishing boats as collateral, and this has been available only once during the three-year period from 2020 to 2022 when labor and fuel costs were at their highest.

Environmental Disclosure and the Cost of Capital: Evidence from the Fukushima Nuclear Disaster

We examine the relation between environmental disclosure and the cost of capital by exploiting the Fukushima nuclear disaster as a source of variation in the relevance of environmental information for investors. Using a large hand-collected sample of Japanese firms, we find that firms disclosing carbon emissions experience a lower increase in the cost of capital than non-disclosing firms. Cross-sectional analyses suggest that the association between disclosure and the cost of capital is driven by the increase in investor uncertainty about the energy supply shortage that followed the disaster rather than future regulatory costs. Moreover, we find that after the disaster, non-disclosing firms in the pre-disaster period increase their environmental disclosures to a greater extent relative to disclosing firms. Taken together, our results provide insight into the link between non-financial, unregulated disclosures and the cost of capital.

Machine Learning Algorithm to Estimate Distant Breast Cancer Recurrence at the Population Level with Administrative Data.

High-quality population-based cancer recurrence data are scarcely available, mainly due to complexity and cost of registration. For the first time in Belgium, we developed a tool to estimate distant recurrence after a breast cancer diagnosis at the population level, based on real-world cancer registration and administrative data. Data on distant cancer recurrence (including progression) from patients diagnosed with breast cancer between 2009-2014 were collected from medical files at 9 Belgian centers to train, test and externally validate an algorithm (i.e., gold standard). Distant recurrence was defined as the occurrence of distant metastases between 120 days and within 10 years after the primary diagnosis, with follow-up until December 31, 2018. Data from the gold standard were linked to population-based data from the Belgian Cancer Registry (BCR) and administrative data sources. Potential features to detect recurrences in administrative data were defined based on expert opinion from breast oncologists, and subsequently selected using bootstrap aggregation. Based on the selected features, classification and regression tree (CART) analysis was performed to construct an algorithm for classifying patients as having a distant recurrence or not. A total of 2507 patients were included of whom 216 had a distant recurrence in the clinical data set. The performance of the algorithm showed sensitivity of 79.5% (95% CI 68.8-87.8%), positive predictive value (PPV) of 79.5% (95% CI 68.8-87.8%), and accuracy of 96.7% (95% CI 95.4-97.7%). The external validation resulted in a sensitivity of 84.1% (95% CI 74.4-91.3%), PPV of 84.1% (95% CI 74.4-91.3%), and an accuracy of 96.8% (95% CI 95.4-97.9%). Our algorithm detected distant breast cancer recurrences with an overall good accuracy of 96.8% for patients with breast cancer, as observed in the first multi-centric external validation exercise.

Regulatory Sandboxes and Fintech Funding: Evidence from the UK

Abstract Over fifty countries have introduced regulatory sandboxes to foster financial innovation. This article conducts the first evaluation of their ability to improve fintechs’ access to capital and attendant real effects. Exploiting the staggered introduction of the UK sandbox, we establish that firms entering the sandbox see an increase of 15% in capital raised post-entry. Their probability of raising capital increases by 50%. Sandbox entry also has a significant positive effect on survival rates and patenting. Investigating the mechanism, we present evidence consistent with lower asymmetric information and regulatory costs.

A Method to Locate Firing Points by Fusing Double CCD and GIS

The precise positioning of the firing explosion point is an effective means to test the technical performance of artillery weapons and equipment warfare, but when the CCD single pole distance method is directly used to detect the explosion point, it is often affected by the obstacles in the shooting visual area, terrain and landform, and the detection and positioning accuracy is difficult to meet the evaluation requirements. To this end, the double CCD intersection method is first used to locate the explosive point, and the target recognition and positioning algorithm is used to realize the visual explosion point positioning, but this method also has the phenomenon of missing detection of the bomb point and ricochet explosion point. Then, the sensor is used to collect GIS signals at the point of explosion, which can well detect the location of missed bounces and ricochets, but there is also the cost of time registration and spatial coordinate system registration. In order to give full play to the complementary advantages of the two positioning methods, this paper proposes to establish a fusion localization model. Experiments have verified that the fusion positioning method improves the accuracy of the detection of the explosion point of traditional single live shooting, and can provide a reference for the positioning detection of related points of interest.

Lidar-Level Localization With Radar? The CFEAR Approach to Accurate, Fast, and Robust Large-Scale Radar Odometry in Diverse Environments

This paper presents an accurate, highly efficient, and learning-free method for large-scale odometry estimation using spinning radar, empirically found to generalize well across very diverse environments -- outdoors, from urban to woodland, and indoors in warehouses and mines - without changing parameters. Our method integrates motion compensation within a sweep with one-to-many scan registration that minimizes distances between nearby oriented surface points and mitigates outliers with a robust loss function. Extending our previous approach CFEAR, we present an in-depth investigation on a wider range of data sets, quantifying the importance of filtering, resolution, registration cost and loss functions, keyframe history, and motion compensation. We present a new solving strategy and configuration that overcomes previous issues with sparsity and bias, and improves our state-of-the-art by 38%, thus, surprisingly, outperforming radar SLAM and approaching lidar SLAM. The most accurate configuration achieves 1.09% error at 5Hz on the Oxford benchmark, and the fastest achieves 1.79% error at 160Hz.

Dynamics of aquaculture governance

AbstractAquaculture is a growing industry with an annual growth rate that is far superior to the population growth rate. Most production occurs in lower‐ and middle‐income countries, and therefore, they can improve the efficiency and modernize the production systems to increase exports to earn foreign exchange earnings for economic and social development. The institutional arrangements should be part of the mechanisms that ensure sustainable aquaculture growth, through the participation of all stakeholders. Sustainability is possible with good and dynamic governance through which the industry embraces the basic principles of governance, equity, accountability, efficiency, and predictability. Over the past decade, several countries made changes in governance and implemented regulations through their action plans to improve aquaculture productivity, and stakeholders profited from the changes made along the value chain. For the producers to benefit from the value‐added products, they complied with the regulations imposed by the importing countries, international regulatory bodies, or their own consumers. Standards increased, and the implementation of certification resulted in changes in the industrial structure. These standards, which inflict regulatory cost on producers, stimulated an improvement in productivity and product quality. However, during the last decade, production growth declined from 5.8% from 2001 to 2010 to 4.5% from 2011 to 2018, resulting in the elusive realization of the potential of meeting the sustainable development targets. There is a need for a paradigm shift that encourages small‐scale producers to engage in sustainable intensive aquaculture. The challenge is, therefore, to move toward production intensification and expansion, and the harmonization of national and international regulations to ensure the supply of safe and adequate fish to consumers, while maintaining a sustainable production system, and at the same time conserving the environment and maintaining social and economic stability. With good governance and political will, the social, economic, and environmental objectives for attaining the Sustainable Development Goals during the period 2020–2030 are possible if governments integrate sustainable aquaculture developments within an expanded aquatic and terrestrial food security policy framework using systems thinking and open innovation approaches.

The Effects of Regulations on Private School Choice Program Participation: Experimental Evidence from the United States

Private school leaders weigh costs and benefits when deciding whether to participate in school voucher programs. Regulatory costs associated with accepting voucher funding could reduce private school leaders’ willingness to participate. We test this hypothesis through the first random assignment analysis of the effects of various regulations on the expressed willingness of private school leaders to participate in hypothetical voucher programs that draws upon national data. We randomly assign different regulations to U.S. private school leaders and ask them whether they would participate in a hypothetical school voucher program during the following school year. Relative to no regulations, we find that open-enrollment mandates reduce the likelihood that private school leaders report being certain to participate in a hypothetical choice program by about 14 percentage points, or 67%. The requirement that private schools accept the voucher funding amount as payment-in-full reduces the likelihood that private school leaders report being certain to participate by 16 percentage points, or 77%. Some regulations are more likely to deter private schools with higher reported tuitions, higher enrollment trends, more specialization, and more climate problems.

Design of Proposed Software System for Prediction of Iliosacral Screw Placement for Iliosacral Joint Injuries Based on X-ray and CT Images.

One of the crucial tasks for the planning of surgery of the iliosacral joint is placing an iliosacral screw with the goal of fixing broken parts of the pelvis. Tracking of proper screw trajectory is usually done in the preoperative phase by the acquisition of X-ray images under different angles, which guide the surgeons to perform surgery. This approach is standardly complicated due to the investigation of 2D X-ray images not showing spatial perspective. Therefore, in this pilot study, we propose complex software tools which are aimed at making a simulation model of reconstructed CT (DDR) images with a virtual iliosacral screw to guide the surgery process. This pilot study presents the testing for two clinical cases to reveal the initial performance and usability of this software in clinical conditions. This model is consequently used for a multiregional registration with reference intraoperative X-ray images to select the slide from the 3D dataset which best fits with reference X-ray. The proposed software solution utilizes input CT slices of the pelvis area to create a segmentation model of individual bone components. Consequently, a model of an iliosacral screw is inserted into this model. In the next step, we propose the software CT2DDR which makes DDR projections with the iliosacral screw. In the last step, we propose a multimodal registration procedure, which performs registration of a selected number of slices with reference X-ray, and based on the Structural Similarity Index (SSIM) and index of correlation, the procedure finds the best match of DDR with X-ray images. In this pilot study, we also provide a comparative analysis of the computational costs of the multimodal registration upon various numbers of DDR slices to show the complex software performance. The proposed complex model has versatile usage for modeling and surgery planning of the pelvis area in fractures of iliosacral joints.

Understanding small- and very-small-scale size meat processors in Missouri to strengthen the local supply chain

Promoting local food systems is crucial to providing a more viable economy, eco-friendly production, and equal opportunities for producers, consum­ers, and communities. Meat processors are critical to local meat producers and the meat supply chain. However, various barriers have restricted small-scale meat processors and challenged the local meat supply chain. Although local food systems have gained enormous scholarly attention, little attention has been devoted to specifically exploring the meat processing sector. This study investigated the characteristics and challenges of small-scale (<750 employees) and very-small–scale (<200 employees) meat processors in Missouri. Twenty-six meat processors participated in an online survey through Qualtrics, a mail survey, or a structured phone interview between May 2021 and March 2022. We identified the characteristics and constraints related to their businesses. The analysis revealed that 76% of meat processors perceived that their business was in better or much better condition than before the COVID-19 pandemic, reflecting their adaptability to the disrupted meat supply chain. However, small-scale meat processing facilities were limited by the labor shortage, complicated regulations and high regulatory compliance costs, a lack of consistent supply, and limited access to tools and equipment. More integrated work is needed to aid smaller processors in positively impacting the local community and environment through locally sourced meat production. This study contains helpful implications for state-level policymaking, extension programs, and future research directions.

Has the Regulatory Compliance Burden Reduced Competitiveness of the U.S. Tilapia Industry?

Emerging research on aquaculture governance has pointed to the conundrum of negative global environmental effects from economic incentives for aquaculture production to shift from more highly regulated to less regulated countries. This study has focused on examining whether regulatory costs on U.S. tilapia farms may have contributed to their contraction in contrast to the growth of global tilapia production that contributes to the volume of seafood imports into the U.S. A national survey (coverage rate = 75% of tilapia sold; response rate = 18%) found that on-farm regulatory costs accounted for 15% of total production costs on U.S. tilapia farms, the fifth-highest cost of production. The total direct regulatory costs nationally were $4.4 million, averaging $137,611/farm. Most problematic were regulations of effluent discharge, predatory bird control, international export, and water and energy policies. Manpower costs for monitoring and reporting were the greatest cost of regulatory compliance. The lost sales revenue resulting from regulations was $32 million a year, or 82% of total annual sales, indicating that the regulatory framework has constrained the growth of U.S. tilapia farming. The smallest tilapia farms had the greatest regulatory cost per kg. This study provides evidence that regulatory costs, along with other challenges related to live fish markets, have contributed to the decline in U.S. tilapia production. Increased competitiveness of the U.S. tilapia industry will require a combination of: (1) improved regulatory efficiency that reduces on-farm cost burdens without reducing societal benefits; (2) research and on-farm extension assistance to evaluate new tilapia fillet equipment; and (3) research on changing consumer preferences to provide guidance on effective strategies to penetrate the large U.S. fillet market.

Multi-year rate plans are better than traditional ratemaking: Not so fast

Utility regulators should ask themselves the basic question: What constitutes good public utility regulation? Regulatory experts generally agree that advancing the public interest is synonymous with high economic efficiency, fairness to all stakeholders, and reasonable regulatory costs. Ratemaking is the basic regulatory tool for achieving those outcomes.One rate mechanism, multiyear rate plans (MRPs), when well-structured and executed, has the ability to perform better than traditional (rate-of-return) ratemaking. Many economists and regulatory practitioners would agree with this assessment. On the other hand, poorly structured MRPs can perform worse. For example, structuring MRP to appease certain stakeholders or for political purposes can compromise its performance to serve the public interest. Regulators also face the inherent problem of having inadequate information to make good decisions, irrespective of the rate mechanism applied.Utilities hoping to get regulatory approval of a proposed MRP can improve their chances by demonstrating that it will enhance the well-being of their customers. The relevant question for regulators is whether an MRP would. The answer is not so apparent, as this essay argues.

Evolutionary Game Analysis of Resilient Community Construction Driven by Government Regulation and Market

As the basic unit of residents’ activities and social management, communities are the disaster bearers of various public security emergencies. To improve the ability and level of community governance, as well as to strengthen the construction of resilient communities, a tripartite evolutionary game model of local government, developers, and home buyers is built, and numerical simulation is carried out using Matlab to analyze the impact mechanism of main parameters on the evolutionary stability strategy. The results show that: (1) The three parties’ different initial intentions will lead to different evolutionary stability strategies of the system, and the system’s final evolution result will reach the ideal state only when the initial willingness of developers and buyers is high. (2) The greater the government’s subsidy coefficient and the greater the regulatory intensity, the more likely it is that developers will choose to build resilient communities. (3) Public awareness of disaster prevention and mitigation is an important determinant of the purchase of resilient community housing strategies. To achieve rapid development of resilient communities, the intensity of regulation must be continuously improved, the public’s awareness of disaster prevention and mitigation must be strengthened, and the government’s regulatory costs must be reduced.