Polish Dairy Farm Transformations and Competitiveness 20 Years after Poland's Accession to the European Union.

Poland is one of the leading milk producers in the EU, being the fifth largest after countries such as Germany, France, Italy, and the Netherlands. From Poland's accession to the European Union in 2004 up to 2022, Polish milk production experienced dynamic development. In this, there occurred a strong decline in the number of dairy farms (by -78%) and the number of cows (by -21%), an increase in dairy herd size (3.5 times) and increase in milk production (+60%) and milk yield per cow (by +62%). These were among the highest growth dynamics among the analysed countries. As a result of this significant transformation, Poland maintained an important position in milk exports, with a 31% export share in production in 2022. The scale of milk production was the basic factor determining the efficiency and competitiveness of dairy farms in Poland. Milk yield, farmland productivity, labour productivity, milk price, and the Corrected Competitiveness Index (based on labour and land opportunity costs) all showed a positive relationship with cow herd size on the farm. Milk production is highly uncompetitive for smaller farms (<15 cows). Despite substantial public support, the smaller farms, where subsidies equal up to 47% of total production value, could not earn sufficient income to cover the cost of capital, risk, and management in 2008, and even more so in 2021. This is because the farm income is too small to cover the extremely high opportunity cost of labour. The larger farms (with 30 cows and more) are competitive and responsible for the majority (~60-70%) of milk produced and delivered to the market. The most challenging from the sectoral policy point of view are medium farms (10-29 cows), whose share in production and deliveries is still important. To survive as economically viable units, these farms have to increase in scale and improve productivity. Otherwise, they will be gradually supplanted by larger farms.

Evaluation model of urban tourism competitiveness in the context of sustainable development.

In the contemporary context marked by globalization and the growing prominence of sustainable development, assessing urban tourism competitiveness has emerged as a crucial research domain. This paper aims to develop a comprehensive model for evaluating city tourism competitiveness, grounded in the principles of sustainable development. The model incorporates factors such as city tourism resources, environmental considerations, economic aspects, and societal factors. This holistic approach seeks to offer valuable insights for the city tourism industry. The study conducts a thorough analysis of current research both domestically and internationally, highlighting gaps and articulating the objectives and significance of the research. Employing a machine learning-based empowerment method, the paper determines the significance of evaluation indices and utilizes the Topsis method for assessing urban tourism competitiveness. Distinguishing itself from traditional evaluation methods, this model integrates the principles of sustainable development throughout the evaluation process, with environmental, social, and economic sustainability serving as pivotal evaluation indicators. Empirical analysis involves the evaluation of tourism competitiveness for select cities, facilitating inter-city comparisons. Results from empirical studies demonstrate the model's effectiveness in evaluating urban tourism competitiveness, providing targeted developmental recommendations for urban tourism.

The Use of Big Data Analysis in Digital Empowerment of Sustainable Technological Innovation Management of Ecological Enterprises.

With the social economy's rapid progress and the popularization of environmental awareness, ecological enterprises have gradually become a crucial trend in the development of modern enterprises. This work intends to promote the development of ecological enterprises to a higher level. This work first analyzes the management mode of ecological enterprises in the context of big data in China. Then, it establishes various indicators to analyze the role of sustainable technological innovation in enterprise development and the impact of digital empowerment on enterprise development. Finally, this work takes China's manufacturing industry and ecological enterprises in Hubei Province as examples to summarize the digital empowerment of sustainable technological innovation management of ecological enterprises under the background of big data. The final result indicates that sustainable technological innovation significantly reduces ecological enterprises' resource consumption and waste emissions. Additionally, it has a significant positive effect on improving enterprise output value and economic benefits. The digital empowerment of enterprises has a significant driving effect on sustainable technological innovation, with a digital driving coefficient of 26. This work provides a feasible scheme for the specific application of big data analysis in the technology innovation management of ecological enterprises, including market demand analysis, environmental monitoring and governance, technology assessment and risk management. This work expounds the role of big data analysis technology in improving decision-making efficiency, optimizing resource allocation and enhancing the competitiveness of enterprises in the digital empowerment of ecological enterprises.

The link between social comparison orientation and domain-specific risk-taking: exploring the mediating role of two dimensions of trait competitiveness.

Introduction: Our recent research has demonstrated that social comparison orientation of ability (SCO-ability) is an antecedent of trait competitiveness (TC), and TC mediates the relation between SCO-ability and domain-specific risk-taking. TC is a multi-dimensional trait, therefore we sought to expand on prior research by examining whether SCO-ability predicted two distinct dimensions of TC: hypercompetitive orientation (HCO) and self-development competitive orientation (SDCO). Methods: We investigated how these different dimensions of TC mediated the relation between SCO-ability and both overall and domain-specific risk-taking in two correlational studies of 622 college students (313 males, mean age = 22.10, SD = 2.35) and 717 adult workers (368 males, mean age = 27.92, SD = 5.11). Results: We found that SCO-ability positively predicted HCO. Together, SCO-ability and HCO predicted overall risk-taking and risk-taking in the recreational and ethical domains in both samples. HCO mediated the relation between SCO-ability and both overall risk-taking and risk-taking in the recreational and ethical domains. Additionally, SCO-ability positively predicted SDCO. SCO-ability and SDCO mainly predicted risk-taking in the recreational domain in both studies. SDCO mediated the relation between SCO-ability and risk-taking only in the recreational domain. Discussion: Collectively, the findings above advance our understanding of the relation between competition and risk-taking by using differentiated measures of TC (HCO and SDCO). Our findings suggest that HCO is more strongly related to risk-taking than SDCO, thereby refining the possible role of SCO-ability and TC in predicting overall risk-taking and domain-specific risk-taking.

Coupling and interaction mechanism between green urbanization and tourism competitiveness based an empirical study in the Yellow River Basin of China.

Exploring the spatial coupling relationship and interaction mechanism between green urbanization (GU) and tourism competitiveness (TC) is of great significance for promoting urban sustainable development. However, the lack of research on the interaction mechanism between GU and TC limits the formulation of effective environmental management policy and urban planning. Taking 734 counties in the Yellow River Basin (YRB) as the study area, this paper analyzes the spatial coupling relationship between GU and TC on the basis of comprehensive evaluation of GU and TC. Then, the interactive mechanism between GU and TC is systematically discussed, and the synergistic development strategy of the two is proposed. The results show that the GU level presents a multicore circle structure, with provincial capitals, prefecture-level urban districts and economically developed counties in east-central regions as high-value centers. The TC at county scale presents a multi-center spatial structure. Additionally, there is a significant positive spatial coupling between GU and TC in the YRB. The analysis further reveals that green urbanization level, social progress, population development, infrastructure construction, economic development quality, and eco-environmental protection has a observably influence on TC. Tourism competitiveness, service competitiveness, location competitiveness, resource competitiveness, market competitiveness, environmental influence, and talent competitiveness has a observably influence on GU. TC can promote GU, and the improvement of green urbanization level can support the development of tourism competitiveness. According to the spatial zoning method, 734 counties are divided into 6 categories, and the coordinated development strategy of GU and TC for each type of district is proposed.

Genomic exploration of the fermented meat isolate Staphylococcus shinii IMDO-S216 with a focus on competitiveness-enhancing secondary metabolites.

BACKGROUND: Staphylococcus shinii appears as an umbrella species encompassing several strains of Staphylococcus pseudoxylosus and Staphylococcus xylosus. Given its phylogenetic closeness to S. xylosus, S. shinii can be found in similar ecological niches, including the microbiota of fermented meats where the species may contribute to colour and flavour development. In addition to these conventional functionalities, a biopreservation potential based on the production of antagonistic compounds may be available. Such potential, however, remains largely unexplored in contrast to the large body of research that is available on the biopreservative properties of lactic acid bacteria. The present study outlines the exploration of the genetic basis of competitiveness and antimicrobial activity of a fermented meat isolate, S. shinii IMDO-S216. To this end, its genome was sequenced, de novo assembled, and annotated. RESULTS: The genome contained a single circular chromosome and eight plasmid replicons. Focus of the genomic exploration was on secondary metabolite biosynthetic gene clusters coding for ribosomally synthesized and posttranslationally modified peptides. One complete cluster was coding for a bacteriocin, namely lactococcin 972; the genes coding for the pre-bacteriocin, the ATP-binding cassette transporter, and the immunity protein were also identified. Five other complete clusters were identified, possibly functioning as competitiveness factors. These clusters were found to be involved in various responses such as membrane fluidity, iron intake from the medium, a quorum sensing system, and decreased sensitivity to antimicrobial peptides and competing microorganisms. The presence of these clusters was equally studied among a selection of multiple Staphylococcus species to assess their prevalence in closely-related organisms. CONCLUSIONS: Such factors possibly translate in an improved adaptation and competitiveness of S. shinii IMDO-S216 which are, in turn, likely to improve its fitness in a fermented meat matrix.

Impact of green financing on CSR and environmental policies and procedures.

Despite increasing global attention towards sustainable development, the empirical linkage between green financing and the enhancement of environmental and social governance (ESG) practices within industries remains underexplored. This study investigates the influence of green financing on Corporate Social Responsibility (CSR) and environmental policies and procedures in 40 Chinese industries from 2010 to 2020. By employing a baseline regression and a difference-in-differences methodology, this paper aims to quantify the extent to which green financing initiatives have impacted CSR activities and the adoption of rigorous environmental policies and procedures in the Chinese industrial sector. The results indicate that industries with access to green financing have shown significant improvements in their CSR engagements and the stringency of their environmental policies and procedures compared to those without such financial incentives. Specifically, the difference-in-differences analysis reveals a positive and statistically significant effect of green financing on the adoption of more stringent environmental policies and the enhancement of CSR practices. We identify the specific areas within CSR and environmental policies that are most influenced by green financing. We assess the effectiveness of green financing as a tool for promoting sustainable industrial practices. The analysis utilizes a comprehensive dataset, including industry-specific financing and ESG performance indicators, to conduct a longitudinal assessment over the decade in question. Based on these findings, the study concludes with a policy implication that emphasizes the critical role of green financing as a catalyst for improving CSR and environmental standards in industries. It suggests that policymakers and financial institutions should consider expanding green financing mechanisms to accelerate the transition towards more sustainable industrial practices.

The relationship between a comprehensive index of prosperity and suicide rates in former Soviet countries, including a comparison with European and Asian countries: Discussion from a new perspective.

Investigations of suicide in countries of the former Soviet Union, which broke into 15 different countries in the early 1990s, require examinations of a combination of economic, social, and health factors. It is important to address these factors individually and to examine the various composite indicators for each. Moreover, it would be worthwhile to explore the potential applicability of a comprehensive worldwide index. We analyzed data from nine of the former Soviet countries for which both the annual suicide rate and the Global Competitiveness Index (GCI) were available for the years 2006-2017. We determined the precise relationships between the suicide rate and the GCI during this period in these nine countries as well as in nine countries with high suicide rates in Europe and Asia. The results indicated the following: (i) In six of the nine former Soviet countries with complete data, the suicide rate showed a relationship with the GCI. Notably, this relationship was inverse in all but one country. (ii) Among the nine European and Asian countries with high suicide rates, three exhibited a correlation between the suicide rate and the GCI. Measures to prevent suicide should be devised especially in countries of the former Soviet Union through collaboration among multiple fields and organizations, as necessary, with particular attention paid to countries with worse or worsening GCI values.

Political determinants of COVID-19 restrictions and vaccine rollouts: The case of regional elections in Italy and Spain.

The COVID-19 pandemic is one of the most significant public health crises in modern history, with considerable impacts on the policy frameworks of national governments. In response to the pandemic, non-pharmaceutical interventions (NPIs) and mass vaccination campaigns have been employed to protect vulnerable groups. Through the lens of Political Budget Cycle (PBC) theory, this study explores the interplay between incumbent electoral concerns and political dynamics in influencing the implementation of NPIs and vaccination rollout within the administrative regions of Italy and Spain during the period spanning June 2020 to July 2021. The results reveal that incumbents up for the next scheduled election are 5.8 % more likely to increase the stringency of containment measures than those that face a term limit. The findings also demonstrate that the seats of the incumbent and coalition parties in parliament and the number of parties in the coalition have a negative effect on both the efficiency of the vaccination rollout and the stringency of NPIs. Additionally, the competitiveness of the election emerges as an important predictor of the strictness of NPIs. Therefore, our results suggest that incumbents may strategically manipulate COVID-19 policy measures to optimize electoral outcomes. The study underscores the substantive influence of political incentives, competitive electoral environments, and government coalitions on policy formulation during health emergencies.

Research on the influencing factors of Chinese agricultural brand competitiveness based on DEMATEL-ISM.

Agricultural products are pivotal to the national economy, and a comprehensive analysis of brand competitiveness significantly contributes to the support of agricultural structural adjustment and modernization. Focusing on the Yangtze River Delta region of China, this study develops an evaluation index system encompassing four dimensions: core brand competitiveness, brand management, market competitiveness, and innovation in branding. Utilizing a DEMATEL-ISM model, this research elucidates the intrinsic relationships among factors that influence brand competitiveness, resulting in a four-tier hierarchical model. The analysis delineates key factors at superficial, intermediate, and profound levels that influence brand competitiveness. Notably, regional production bases, along with innovations in brand technology and systems, emerge as profound influencers. Drawing on these findings, the study recommends strategies to enhance production foundations, accurately define development trajectories, spearhead technological innovation to foster collective reform efforts, and advocate for institutional advancements to bolster healthy brand growth.

Shaping individual competitiveness: The role of discipline, parental expectations, and participation in extracurricular activities.

Purpose: This research seeks to extend previous research into student discipline and competitiveness, at the macro or national level, to the micro or individual level. The role of factors with the potential to impact individual competitiveness, namely the expectations of the mother and the father, the importance of school discipline played in primary and secondary schools, and past participation in sport and music were examined. Design/methodology/approach: Data from a sample of current university students and recent graduates representing Western (the United States) and Asian regions (South Korea and China) were analysed using multiple regressions to establish the explanatory power of independent variables in the competitiveness model, including testing for moderation effects of country of birth. Results: The study found that personal discipline is significantly associated with individual competitiveness. The importance placed on discipline in primary schools was found to predict individual competitiveness as were parents' expectations, yet with nuances in terms of maternal and paternal expectations. Surprisingly, neither participation in music nor discipline at secondary school was found to significantly associate with individual competitiveness. At the same time, the study did find moderating effects of country of birth and the number of years students played sport in predicting competitiveness. Originality/value: Guided by the Ecological Systems Theory and the notion of the Pygmalion effect, we develop a framework of factors that shape an individual's competitiveness. The results make several theoretical contributions by establishing new drivers of individual competitiveness, and as such illuminating the importance of discipline during schooling and how parental expectations drive performance. Implications for employers, educational institutions, and parents are outlined and directions for further research are offered.

Structural analysis of the future of the coffee industry in the Amazonas region using a MICMAC approach.

Currently there are problems in improving the competitiveness of the coffee industry in Amazonas, in this context the present research seeks to analyze the future behavior of the coffee industry through a structural analysis with MICMAC. For this purpose, 14 coffee guilds of Amazonas were interviewed, followed by an external and internal evaluation and a structural analysis with MICMAC. Subsequently, future events were analyzed and validated by experts. MICMAC identified in the short term the importance of local and regional governments supporting the coffee associations in order to achieve their objectives, such as increasing organic coffee production and expanding the coffee frontier; in the medium term, a coffee research center should be created; and in the long term, studies on the different microclimates should be carried out in order to achieve a high price and international demand. The motricity and dependency study contributed to the generation of eight probable events, of which five events are likely to occur by 2030 and a desirable scenario is the ideal.

The relationship between mass customization and sustainable performance: The role of firm size and global E-commerce.

The formation of mass customization competencies is crucial for the increasing number of manufacturing companies in modern times. This study assessed the relationship between mass customization capability and its determinants on sustainable performance. Additionally, it explores the mediating role of mass customization capability and sustainable performance, while also examining the moderating effects of firm size and cross-border eCommerce in these associations. The study used online survey data from 339 manufacturing small-to-medium-sized enterprises in China to test the hypothesized relationships. The collected data were analyzed using partial least square structural equation modeling and necessary condition analysis. The results indicated that flexible manufacturing competencies, modular product architecture, and customer relationship management are significantly and positively connected to mass customization capability. Moreover, the study observed that mass customization capability and competitive pressure have a significant positive influence on the sustainable performance of Chinese manufacturing SMEs. The findings also revealed that firm size and cross-border e-commerce engagement have a negative and positive moderating effect, respectively, between mass customization capability on sustainable performance, which confirms a relatively higher effect of customization capability on sustainable performance among smaller firms and firms engaged in cross-border eCommerce. Fundamentally, these findings can lead to the development of a comprehensive framework to promote mass customization capability, cross-border e-commerce, and sustainable development of manufacturing small-to-medium-sized enterprises China.

Study on the coordinated development of urban competitiveness and energy-carbon emission reduction in China.

The urban competitiveness (UC) evaluation system is multidimensional and complex. This paper takes the simulated annealing (SA) model as the projection pursuit (PP) optimization to achieve a comprehensive assessment of competitiveness of 277 Chinese cities from 2011 to 2019, accompanied by energy saving and carbon-emission reduction (ESCER) as environmental measurements, to explore whether the two can meet the Porter hypothesis through coupling coordination degree (CCD). Further using spatiotemporal autocorrelation and obstacle degree model to uncover spatiotemporal features and interfering factors of coordinated development. Key findings include: (1) UC and ESCER show a slightly fluctuating upward trend during the research period, with apparent spatial variations. The eastern coastal region has a robust UC, while the less competitive central and western regions benefit from natural conditions, excelling in ESCER. (2) 87% of cities have achieved coordinated development between competitiveness and ESCER. Some coastal areas, often with a high CCD, are improving resource use efficiency and environmental benefits through economic agglomeration. From the perspective of the CCD collaboration network, the positive correlation accounts for about 85%, which reveals that most adjacent regions can cooperate on the road of coordinated development. (3) While differences exist in the coordinated development of UC-ESCER across various regions, social factors predominantly influence the obstacles affecting coordinated development. Specifically, a substantial barrier to the concordant progression of most cities is the number of patent applications, underscoring the pivotal role of innovation in aligning UC with ESCER.

International regional competitiveness of rural territories as a factor of their socio-economic development: Methodological aspects.

The study aims to develop a scientific and methodological approach to the formation of a model for managing the international competitiveness of rural areas based on an assessment of the existing export and production potential to form priorities for their socio-economic development. Research methods involve a systematic approach, an integrated approach, an algorithmization using methods of integral assessment of competitiveness, etc. The research allowed the development of a conceptual model for managing the international competitiveness of rural regions. The model includes a variable list of determinants and indicators of the formation of competitive advantages of rural territories depending on the export-production potential and strategic goals of their development. The paper presents a model management algorithm and a set of complementary methodological techniques used to assess international and regional competitiveness. The scientific novelty lies in the developed scientific and methodological approaches and practical recommendations for the formation of international and regional competitiveness in rural areas. Moreover, a system of determinants of the competitiveness formation of rural territories and a system of indicators for its assessment have been developed.

The Joint Impact of Trait Competitiveness and Competitive Climate on Depressive Symptoms and Anxiety Among Adolescents.

Competitive climate and individual competitive characteristics jointly affect the mental health of adolescents. Based on person-environment fit theory, this study aimed to examine the effects of the match between trait competitiveness and competitive climate on depressive symptoms and anxiety. In this study, data were collected from 2235 Chinese adolescents in the 10th to 12th grades (48.8% girls; Mage = 16.06 years, SDage = 0.95). Self-reported depressive symptoms, general anxiety, trait competitiveness, and competitive climate were assessed. Polynomial regression analyses and response surface analyses indicated that in cases of congruence, as trait competitiveness and competitive climate increase, depressive symptoms and anxiety increase, as do their growth rate. In cases of incongruence, higher levels of depressive symptoms and anxiety are found when trait competitivenesså competitive climate compared to when competitive climateå trait competitiveness. And as trait competitiveness become increasingly higher than competitive climate, the level of depressive symptoms and anxiety were higher. This serves as a reminder for families and schools to place special emphasis on the mental health of adolescents with high levels of trait competitiveness who may exhibit high levels of depressive symptoms and anxiety.

An analysis of osteopathic medical students applying to surgical residencies following transition to a single graduate medical education accreditation system.

CONTEXT: Upon requests from osteopathic medical schools, the National Resident Matching Program (NRMP) Charting Outcomes were redesigned to include osteopathic medical school seniors beginning in 2018 and one joint graduate medical education (GME) accreditation system, the Accreditation Council for Graduate Medical Education (ACGME), formed in 2020. OBJECTIVES: The goal of this study is to analyze the match outcomes and characteristics of osteopathic applicants applying to surgical specialties following the ACGME transition. METHODS: A retrospective analysis of osteopathic senior match outcomes in surgical specialties from the NRMP Main Residency Match data from 2020 to 2022 and the NRMP Charting Outcomes data from 2020 to 2022 was performed. RESULTS: For surgical specialties, results show matching increased as United States Medical Licensing Examination (USMLE) Step 2 CK (clinical knowledge) and Comprehensive Osteopathic Medical Licensing Examination (COMLEX) Level 2 CE (cognitive evaluation) scores increased along with the number of contiguous rankings (p<0.001). The greatest indication for matching looking at scores alone were those who scored greater than 230 on Step 2 CK compared to below (p<0.001) and above 650 on Level 2 CE (p<0.001). However, those who scored 240 (p=0.025) on Step 2 CK were just as likely to match as those who scored 250 (p=0.022) when compared to those who scored below those scores. Increasing research involvement had little to no significance with the likelihood of matching across most surgical subspecialties. CONCLUSIONS: Our study demonstrates that there are unique thresholds for Step 2 CK scores, Level 2 CE scores, and the number of contiguous ranks for each surgical specialty that, when reached, are significantly associated with match success. Although certain board score delineations are linked with higher match success rates, the rates level off after this point for most surgical specialties and do not significantly increase further with higher scores. In addition, thresholds within contiguous ranks for increasing match likelihood exist and vary across surgical specialties. Overall, this study highlights that the quantitative metrics utilized to assess applicants lack the correlation reported historically, and the data presently available need to be more substantiated.

Various cold storage-backslopping cycles show the robustness of Limosilactobacillus fermentum IMDO 130101 as starter culture for Type 3 sourdough production.

Type 3 sourdoughs, which are starter culture-initiated and subsequently backslopped, are less studied than other sourdough types. Yet, they can serve as a model to assess how competitive starter culture strains for sourdough production are and how the microbial composition of such sourdoughs may evolve over time. In the present study, Limosilactobacillus fermentum IMDO 130101 was used to produce Type 3 sourdoughs, prepared from wheat and wholemeal wheat flours. Therefore, an initial fermentation of the flour-water mixture was performed at 30 °C for 48 h. This was followed by cold storage-backslopping cycles, consisting of refreshments (50 %, v/v), fermentation steps of 16 h, and storage at 4 °C each week, every three weeks, and every six weeks. The microbial dynamics (culture-dependent and -independent approaches) and metabolite dynamics were measured. In all sourdoughs produced, starter culture strain monitoring, following an amplicon sequence variant approach, showed that Liml. fermentum IMDO 130101 prevailed during one month when the sourdoughs were refreshed each week, during 24 weeks when the sourdoughs were refreshed every three weeks, and during 12 weeks when the sourdoughs were refreshed every six weeks. This suggested the competitiveness and robustness of Liml. fermentum IMDO 130101 for a considerable duration but also showed that the strain is prone to microbial interference. For instance, Levilactobacillus brevis and Pediococcus spp. prevailed upon further cold storage and backslopping. Also, although no yeasts were inoculated into the flour-water mixtures, Kazachstania unispora, Torulaspora delbrueckii, and Wickerhamomyces anomalus were the main yeast species found. They appeared after several weeks of storage and backslopping, which however indicated the importance of an interplay between LAB and yeast species in sourdoughs. The main differences among the mature sourdoughs obtained could be explained by the different flours used, the refreshment conditions applied, and the sampling time (before and after backslopping). Finally, the metabolite quantifications revealed continued metabolite production during the cold storage periods, which may impact the sourdough properties and those of the breads made thereof.

Evaluation of sports tourism competitiveness of urban agglomerations in Guangdong-Hong Kong-Macao Greater Bay Area.

In the era of experience economy, sports tourism has been emerged as a new tourism form and consumption hot spot. Evaluation of the competitiveness of sports tourism is helpful to accurately grasp the key competitive factors of sports tourism development and enhance regional sports tourism resource development, market expansion and product upgrading. This study adopted entropy-weight TOPSIS model to construct the index system of sports tourism competitiveness of urban agglomerations and investigated the sports tourism competitiveness of 11 cities in Guangdong-Hong Kong-Macao Greater Bay Area from 2016 to 2020. The obtained results showed that sports tourism development in the Greater Bay Area was unbalanced and obviously different. Guangzhou, Shenzhen and Hong Kong are competitive, Macao is average competitive and Dongguan, Jiangmen, Zhuhai, Foshan, Zhongshan, Huizhou and Zhaoqing are less competitive. Based on evolution trend, sports tourism competitiveness in Guangzhou has always been at the forefront of the Greater Bay Area, while those of Hong Kong and Macao have presented a declining trend. Also, sports tourism competitiveness in inland cities has been continuously enhanced and the development focus of sports tourism in Guangdong-Hong Kong-Macao Greater Bay Area has gradually shifted to mainland. The 11 cities of the Greater Bay Area were classified as strong, average and weak areas on the basis of their sports tourism competitiveness scores. Finally, in terms of the overall situation of Guangdong-Hong Kong-Macao Greater Bay Area and specific conditions of various cities, countermeasures and suggestions have been provided for sports tourism resource development, sports tourism service level, government functional departments, event brand building, enterprise integration, etc.

How intrasexual competitiveness shapes attitudes towards cosmetic surgery recipients.

Cosmetic surgery is extremely popular. Despite this, negative attitudes towards cosmetic surgery recipients prevail. Across two pre-registered studies, we examined whether intrasexual competitiveness explains these negative attitudes. Participants in Study 1 were 343 (mean age = 24.74) single heterosexual American women and participants in Study 2 were 445 (mean age = 19.03) single heterosexual Australian women. Participants in both studies were primed for either low or high intrasexual competitiveness. Contrary to our predictions, we found that priming condition did not influence participants' derogation and social exclusion of cosmetic surgery recipients. We did, however, find evidence for a 'relative attractiveness' halo effect: participants engaged in less derogation and social exclusion when they assumed cosmetic surgery recipients were more attractive than themselves. This suggests that 'pretty privilege' extends not only to women who meet conventional beauty standards, but also to those who are perceived as relatively closer to meeting these standards than the individual with whom they are engaging. Overall, we concluded that intrasexual competitiveness does not encourage the stigmatisation of cosmetic surgery recipients and examined alternative explanations for this phenomenon.