High Economic Level Research Articles

基于文献计量和遗传算法的土地利用优化研究进展

PDF HTML阅读 XML下载 导出引用 引用提醒 基于文献计量和遗传算法的土地利用优化研究进展 DOI: 10.5846/stxb202112243644 作者: 作者单位: 作者简介: 通讯作者: 中图分类号: 基金项目: 第二次青藏高原综合考察研究（2019QZKK0608）；国家自然科学基金（42171088）；国家自然科学基金（41901316）；国家自然科学基金（42171250） Land Use Optimization using Genetic Algorithms: Bibliometric Analysis. Author: Affiliation: Fund Project: Second Tibetan Plateau Scientific Expedition and Research Program (Grant No. 2019QZKK0608); National Natural Science Foundation of China (Grant No. 42171088); National Natural Science Foundation of China (Grant No. 41901316); National Natural Science Foundation of China (Grant No. 42171250) 摘要 | 图/表 | 访问统计 | 参考文献 | 相似文献 | 引证文献 | 资源附件 | 文章评论 摘要:以Web of Science数据库中1999-2022年（截止2022年1月22日）关于遗传算法与土地利用的164篇英文和27篇中文文献为数据源，基于文献计量方法，对每年中英文发文量、文献来源国家、中英文文献学科方向、中英文载文期刊进行分析，探究基于遗传算法的土地利用优化的总体研究概况，然后利用CiteSpace软件对作者和研究机构合作网络、关键词共现网络和文献共被引网络进行可视化，分析研究热点。研究发现，①基于遗传算法的土地利用优化研究整体呈上升趋势，中国（包括港澳台地区）、美国、伊朗是发文量前三国家，研究属于环境、地理和规划的交叉领域。②研究者间形成了2个较大规模的合作网络和众多中小规模的合作网络，处于核心地位的研究机构来自发文量前十的国家。③绿色基础设施是重要的研究对象，多目标优化是主要的优化模型，与其它技术，如粒子群算法的结合和对比为重要的研究方向。④风力能源规划、自然环境保护、海绵城市规划、生物多样性、交通规划、规划支持系统构建是重要的研究内容，主要的研究方法包括带约束的多目标优化和空间优化模型。 Abstract:To explore research progress of land use optimization based on genetic algorithm, we took 164 English and 27 Chinese papers on genetic algorithms and land use in the Web of Science database from 1999 to 2022 (as of January 22, 2022) as the data source. Based on bibliometric methods, we analyzed the time distribution of literature publications from 1999 to 2022, countries of published papers, the categories of published Chinese and English papers, and the journals of published papers. Moreover, the author cooperation, institute cooperation keyword coexist network and the literature co-citation network was visualized and research hotspots are explored. The study found that (1) judging from the number of papers published each year, the research on land use optimization based on genetic algorithm was rising as a whole. The whole development can be divided into three stages: 1999—2006, 2007—2015, and 2016 to the present. During the different stages, the number of published papers in English had increased significantly, while the number of papers in Chinese had been relatively stable. (2) Judging from the countries of published literature, China, the United States, and Iran were the top three in the world in terms of the number of published papers, and the top 10 countries in terms of the number of published papers were all located in regions with relatively high economic level. (3) The land use optimization research based on genetic algorithm belonged to the interdisciplinary field of environmental science, geography and planning. (4) From the perspective of authors of the papers, the current research was mainly conducted in small or medium-sized teams of less than 10 people, and there were only two large-sized team. Among them, the team with Bo Huang as the core was in a leading position in the domain. From the perspective of research institutions, three research groups had been formed in East Asia, the Middle East and North America , and they cooperated with each other, forming a huge cooperation network. (5) An important research area of land use optimization based on genetic algorithm was green infrastructure. The commonly used modeling method was multi-objective optimization model, which is compared and combined with particle swarm optimization. (6) The hot research areas of land use optimization based on genetic algorithm were southern China and the county scale. Key research directions included transportation planning, wind energy planning, biodiversity, nature conversation, lid planning and planning support system. Research methods included constrained multi-objective optimization and spatially explicit optimization. 参考文献 相似文献 引证文献

Effectiveness of Comfort Theory Model Based on Holistic Care for Hospitalized Children with Sickle Cell Disease Crises

Background: Children’s experience of hospital when suffering acute sickle cell crises can be improved by a comfort approach to nursing care. Aim and Design: The true experimental design approach was used to investigate the efficiency of comfort theory in improving the comfort level model for children with SCD crises. Sample and setting: A convenience sample was taken from children admitted at pediatric inpatient department of Benha University Hospital and Specialized Children Hospital, Benha city, Egypt during sickle cell crises. Data collection tool: Data collection was undertaken in a number of ways, including a demographic information form, patient Comfort Behaviors Checklist, Comfort Daisies Scale, and General Comfort Questionnaire, both pre- and post-theory intervention, based on the nursing process. Results: When compared to a control group, significant differences were observed in children with SCD crises post-comfort theory application. There was also a positive correlation between the children’s state of comfort and post-comfort theory intervention. An association was also noted between children in secondary education and at a higher economic level in comfort state at second observation, which was deemed to be the best comfort achievement. Conclusion and recommendations: Nursing care modelled on comfort theory can significantly improve children’s experience of hospitalization during sickle cell crises. The nursing of children should be holistic, and evaluate their physical, emotional, and psychological needs when addressing their level of comfort.

The influence of eHealth literacy, reproductive health knowledge, and self-esteem on health-promoting behaviors in early adult women: a cross-sectional survey.

The purpose of this study was to investigate the influence of eHealth literacy, reproductivehealth knowledge, and self-esteem on early adult women's health-promoting behaviors (HPB). Thisstudy was based on Pender's health promotion model as a theoretical underpinning. Early adult women aged 18 to 35 years (n=165) were recruited by posting advertisements on social network sites for a student club and a faith-based community in Ansan, Korea. Willing individuals were invited to participate in the online survey from June 1 to June 30, 2022. Standardized instruments were used to measure HPB, eHealth literacy, reproductive health knowledge,and self-esteem. General characteristics included income level, perceived subjective health, and internet usage time. The collected data were analyzed using the independent t-test, one-way analysisof variance, Pearson correlation coefficients, and multiple regression. The mean age of the respondents was 21.97±3.87 years. The total HPB score was 120.69,corresponding to a moderate level; and the total scores for eHealth literacy (30.24), knowledge ofreproductive health (23.04), and self-esteem (35.62) were higher than the midpoint. The model explained 53.3% of variance in HPB, and self-esteem (β=.48, p<.001) was the most influential factor.Other influential factors were, in descending order, higher economic level, higher subjective healthstatus, greater eHealth literacy, and less internet use time (<2 hours/day). In order to promote the health of early adult women, counseling or programs that positively improve self-esteem appear promising, and eHealth literacy should be considered as a way topromote HPB using information technology.

Geographic distribution and uses of species of the genus Dioscorea

Species of the genus Dioscorea are widely distributed throughout the world. It is a resource used in different countries because theyproduce tubers that offer numerous benefits for human health due to their diosgenin content, a compound that is used as: anti-inflammatory, androgenic, estrogenic and in the preparation of contraceptive drugs; It is also mentioned that these compounds havecytotoxic, antitumor, antifungal, immunoregulatory, hypoglycemic and cardiovascular properties, they are also used for theprevention and treatment of degenerative diseases. Species such as Dioscorea bulbifera, Dioscorea cayenensis, Dioscorea colletii,Dioscorea deltoidea, Dioscorea futschauensis, Dioscorea nipponica, Dioscorea panthaica, Dioscorea parviflora, Dioscoreapolygonoides, Dioscorea pseudojaponica, Dioscorea spongiosa, Dioscorea villosa, Dioscorea composita, Dioscorea zingiberensis,produce a higher concentration of diosgenin. The tubers and roots of this group are part of the oldest foods consumed by humans,given their high nutritional, ecological and economic level. In many tropical countries, the use of various tubers and roots of thegenus Dioscorea play a very important role as a main source of energy and essential nutrients at low cost, they are also used asfodder for livestock and a source of income. This plant are rich in starch, vitamins, minerals and lipids, and have the potential tofight hunger in third world countries. Currently there is little or no knowledge in Mexico on how to cultivate these species.

Sustainable development of clean heating in rural northern China: Locally tailored energy options

Locally tailored energy options can better contribute to the sustainable development of clean heating in northern China. Based on sustainable development theory, this study constructed a comprehensive evaluation index system for clean heating energy options in rural northern China. A fuzzy comprehensive evaluation (FCE) method was used to design locally tailored heating energy options. The results indicate that, first, the comprehensive selection capacity of clean heating energy varies across northern China, with most provinces occurring in the medium range. Second, electric and biomass heating should constitute the main future clean heating trend in rural areas in northern China. Third, natural gas or electric heating is more suitable for provinces with high economic and renewable energy technology levels, while clean coal heating is temporarily suitable for remote provinces with low comprehensive selection capacities. Fourth, provinces with significant resource advantages should develop corresponding heating energy sources, and heat pump heating should be encouraged as a priority in the future.

Food quality and nutritional status of school-going adolescents in the province of El Jadida in Morocco.

Dietary diversity and variety scores represent tools for measuring the overall quality of diets. In children, they are good indicators of their nutritional status and growth. The aim of this study was to assess the consumption and eating habits as well as the lifestyle of Moroccan adolescents attending school in the city of El Jadida. A sample of 463 children of both sexes, aged 9 to 17, attending four schools in the city of El Jadida was studied. Eating habits and information on socioeconomic level are assessed using questionnaires and weight and height were measured on participants. According to the dietary diversity score (DDS) classes, 2.4% of the children surveyed were with low DDS, 55.7% moderate and 41.9%, with high DDS. The mean DDS was 5.67 ± 1.03 in underweight children and 5.53 ± 1.5 in those with overweight (obesity included) and the food variety scores (DVS) were of 12.94±3.24 food items and 10.81±3.25 in the 2 groups respectively. In addition, data analyzes show that children from parents with a low level of education had higher averages of DDS and DVS (DDS: 5.54 ± 0.84; SVA: 10.65 ± 2.32) compared to those of parents with medium education level (DDS: 5.31±0.96; DVS: 9.72±2.62) or high level (DDS: 5.17±0.93; DVS: 9.36 ±2.42). In addition, children from parents of high economic level had a lower averages of DDS and DVS (DDS: 5.24 ± 0.88; DVS: 8.84 ± 2.10) compared to those of parents of low economic level (DDS: 5.36±1.00; DVS: 10.14±2.85). The sugary products were consumed by 56.3% of underweiht children, 75% of normal-weight children and 67% of overweight children (including obese). The estimated total energy intake (TEI) was higher than the Recommended Daily Allowances (RDA) in underweight 2933 Kcal/d and in overweight (including obese) children 3061.75 Kcal/d, while the mean daily intakes of folate, calcium, iron, potassium and zinc were lower than the (RDA). The food groups consumed by the majority of children were cereals (98.5%), fruits and vegetables (87.7%), and sweet products (69.8%) while oilseed products and fat were less consumed (9.7% and 7.8% respectively). The study data show that the adolescents diet were moderately diverse, little varied and poor in certainnutrients essential for their nutritional status and growth. The study draws attention to the need for parents to be aware ofthe benefits of improving the diet quality and weight status of adolescents.

The Impact of Heavy Rainfall Variability on Fertilizer Application Rates: Evidence from Maize Farmers in China

Global warming increases the intensity and frequency of extreme weather events, which is harmful to agricultural production. Given that the overuse of fertilizer has been found to be a significant contributor to global warming, it is crucial to analyze the factors affecting farmers' fertilizer use and find appropriate fertilizer reduction measures. Agriculture is inherently risky, but previous studies have ignored the risk factors related to heavy rainfall variability, including fertilizer losses and the possible yield risks, which may lead to income risk. Using the 1995-2018 National Rural Fixed Observation Point Survey Data, this study examines the impact of heavy rainfall variability on maize farmers' fertilizer application rates, aiming to understand farmers' fertilization behavior in response to weather shocks. The results show that heavy rainfall variability significantly increases farmers' fertilizer application rates on maize. Furthermore, we find that heavy rainfall variability has greater effects on fertilizer use in hills and mountainous areas and areas with good irrigation conditions or high economic levels. When examining the potential channels underlying the estimated effects, we find that yield fluctuations are a channel through which heavy rainfall variability affects farmers' fertilizer use on maize. The above results indicate that farmers view applying extra fertilizer as a risk reducing activity in response to rainfall shocks, which helps to prevent low yield and income. Strengthening agricultural infrastructure construction according to local conditions and promoting fertilizer reduction technologies and products to reduce yield risk caused by heavy rainfall can help alleviate the problem of high fertilizer application rates by Chinese farmers.

An analysis on the economic resilience and vulnerability of local economies in the Philippines to hydrometeorological disasters

The Philippines is one of the most hazard-prone countries worldwide, mainly to hydrometeorological disasters like storms, heavy rainfall, and flooding. The impact of these disasters tends to be localized predominantly among the different regions in the country. This study determined the level of economic resilience and vulnerability of the different regions in the Philippines from 2000 to 2018. Two composite indices were created, the economic resilience index, and the vulnerability index. The two indices were analyzed using trend analysis, matrix analysis, and mapping. A panel data analysis was conducted using the disaggregated variables as the explanatory variables and the impact of disasters as the dependent variable. The first result showed that economic resilience and vulnerability of the regions vary throughout the identified periods. The National Capital Region, Region VII, and Region I showed high economic resilience level but varying vulnerability level. Most regions also showed a decreasing trend in their economic resilience but an increasing trend in their vulnerability. The panel data revealed that the economic resilience factors, average family savings, and “access to safe drinking water” positively affect the impact of disasters. The vulnerability variables frequency of hydrometeorological disasters, rainfall volume, and loss of forest cover contribute to the impact of disasters. The matrix and trend analysis showed that the different regions can minimize the impact of disaster by increasing their economic resilience. The government should therefore improve the socioeconomic conditions of regions vulnerable to hydrometeorological disasters.

Improving the regional deployment of carbon mitigation efforts by incorporating air-quality co-benefits: A multi-provincial analysis of China

It is critically important to include the co-benefits of abated air pollution when sharing carbon mitigation efforts among provinces. Therefore, using a Chinese multi-regional computable general equilibrium model, this study incorporated the pollutant co-benefits into the carbon marginal abatement cost curves and evaluated the inter-provincial abatement effort sharing for China's provinces to achieve the Nationally Determined Contribution target. Results show that the more developed eastern economies face higher abatement costs under the same abatement level compared to the less developed central and western provinces. Second, in the composition of total co-benefits among provinces, the co-benefits of SO2 reductions exceed 60% followed by the co-benefits of NOX and PM2.5 reductions. Finally, the provincial abatement costs will be offset by 4.3% to 18.9% after considering the co-benefits. Specifically, provinces with high per capita GDP and energy-intensive industries (e.g. Shandong, Liaoning, and Jilin) and some provinces with energy production bases (e.g. Inner Mongolia, Shanxi, and Xinjiang) have higher co-benefits and offset the more abatement costs; therefore, they can consider raising abatement efforts. Moreover, provinces with high economic levels but fewer co-benefits (e.g. Beijing, Tianjin, and Shanghai) can consider providing climate funding or transferring abatement technologies to support the abatement work of less developed provinces.

ASSESSMENT OF ECONOMIC CONVERGENCE AMONG COUNTRIES IN THE EUROPEAN UNION

The debate on the presence of economic benefits in the European Union (EU) is not over. The study responds unequivocally to this question, with the intensity of economic development in the countries that joined the European Union in 2004 and beyond twice as high as that of the countries that joined it this year, i.e. the EU’s old ones compared to the new ones; smoothness – 1.1 times and dynamics – 1.6 times. Another important trend for further development is that, as the level of economic development increases, its smoothness is diminishing. In respect of the context of the EP of all EU Members, it turned out that the higher intensity of enlargement was characterised by higher economic levels, with similar homogeneity and almost identical values for the dynamic indicator. The introduction to the article presents the context of the studies, i.e. two groups of EU Community countries are formed according to their level of economic development and the year of their accession to the Community, as well as a survey scheme. The literature review reveals the methods used to analyse the convergence of economic development in these countries, as members of the Community. The research methodology introduces the indicator of economic development of countries and provides a methodology for assessing its dynamics. The empirical part assesses the dynamics of economic development of both groups of countries and identifies trends in terms of convergence. The discussion section summarises the consolidation and destabilising factors in the EU and the importance of the study carried out in this context. The conclusions present the main results of the studies and outline their further directions. The results of the study can be used both in the EU and for the purpose-oriented decisions of its members on further economic development.

Entrepreneurship and Culture: What Determines the Differences Within Switzerland?

This article aims to investigate the differences in entrepreneurship activity and entrepreneurship-related perceptions and intentions within Switzerland and to shed light on the explanations of those differences through a cultural context. Two possible divisions within the country that complement each other are used: the administrative division into seven NUTS2 regions and the division into language regions (German, French and Italian). The Global Entrepreneurship Monitor is used for entrepreneurship-related data and the European Social Survey for measuring societal values. The findings of this article show that higher perceptions about the possibilities to be successful in entrepreneurship or higher entrepreneurial intentions do not automatically lead to entrepreneurship. The analysis of societal values both across language regions and across NUTS2 regions in Switzerland shows that it is the pattern that matters, not the single values, and sometimes the combination of societal values and educational background determines entrepreneurship activity. Comparing the patterns and correlations across three language regions and across seven NUTS2 administrative regions in Switzerland shows that pronounced differences can be found across language regions. In a country with a high economic and human development level like Switzerland, most of the entrepreneurship is opportunity-driven and not necessity-driven.

Factors Correlated with Body Image Dissatisfaction in Children and Adolescents Diagnosed with HIV: A Cross-Sectional Study.

(1) Background: The adverse effects of continuous use of antiretroviral therapy can generate dissatisfaction with body image in children and adolescents diagnosed with Human Immunodeficiency Virus infection (HIV) infection. The aim of this study was to verify the prevalence and factors associated with body image dissatisfaction (BI) in children and adolescents diagnosed with HIV infection; (2) This is a cross-sectional study with 60 children and adolescents (32 females; 28 males) aged 8-15 years diagnosed with HIV, carried out in Florianópolis, Brazil. Information on BI was collected through a silhouette scale, as well as sociodemographic information, biological maturation, lifestyle, self-esteem, adherence to antiretroviral treatment and aspects of HIV infection; (3) Results: The results indicated that 53.13% of female patients and 53.57% of male patients were dissatisfied with their BI. Lower subscapular skinfold and higher calf skinfold values were associated with BI dissatisfaction in females. Pre-pubertal maturation stage, higher economic level, lower concentrations of CD4+ lymphocytes, lower viral load, lower level of physical activity and longer time in front of the computer and/or video game were associated with BI dissatisfaction in males; (4) Conclusions: BI dissatisfaction was observed in more than half of patients and morphological, economic, behavioral and HIV infection aspects were associated with BI dissatisfaction.

Complementarity or Substitution: A Study of the Impacts of Internet Finance and Rural Financial Development on Agricultural Economic Growth

Based on the Chinese county-level panel data from 2014–2018, in the study reported in this paper, we empirically tested the “complementarity and substitution” effects of internet finance and rural finance on rural economic development using the feasible generalized least squares (FGLS) estimation method. The research data were obtained from the China County Statistical Yearbook. Similarly, the data of agricultural credit societies were obtained from the unique database of the agricultural credit societies of Shaanxi Rural Finance Research Center, while the internet finance development index was obtained from the Digital Finance Research Center of Peking University. In this research, we found that rural finance and internet finance contribute to rural economic growth. In the context of rural economic growth, internet finance and rural finance development show a substitution effect. The scale and efficiency of rural finance contribute to rural economic growth, while the structure of rural finance has the opposite effect. The development of internet finance reduces the marginal contribution of the rural financial scale and efficiency to rural economic growth. It weakens the negative effect of the rustic financial structure on rural economic growth. Furthermore, the development of internet finance contributes to the rural economic growth of counties of high economic levels but hinders the development of counties of low and medium economic levels. In counties with a high economic status, the development of internet finance and rural finance have a complementary effect on rural economic growth, while in counties of low and medium economic levels, we can observe a substitution effect. These assessments provide guidance, a source for policy recommendations and a reference for researchers and policy makers seeking to optimize the structure and break the monopoly pattern of agricultural credit cooperation in the rural financial market and to strengthen innovation and significantly improve the operational level of rural financial institutions. Moreover, the development of internet financial business and technology is necessary to overcome the demerits of traditional financial institutions.

Revisiting the Environmental Kuznets Curve hypothesis in OECD during 1970–2016: Panel smooth transition regression

The examination of the Environmental Kuznets Curve (EKC) hypothesis is revisited in the OECD countries during 1970–2016. This paper focuses on some OECD countries with a high economic level and a high concentration of air pollution monitoring. In this examination, we propose a Panel smooth transition kink regression (PSTKR) model to examine the inverted U-shaped nexus between economic development and air quality and define the turning point of this relationship. This model allows the slope of the independent variable to be changed after the kink point, leading us to capture the nonlinear relationship between the dependent and independent variables. This study uses the GDP per capita and Sulfur dioxide emissions as economic and development indicators, respectively. Our finding reveals the existence of the EKC hypothesis in the OECD countries. Furthermore, we find the heterogeneous impacts of economic growth on air quality. There is evidence of the positive effects of economic growth on air pollution when the GDP per capita is less than 26,338.84 USD, while it turns out to be harmful when the GDP per capita is more than 26,338.84 USD. In sum, our model confirms the presence of EKC in the OECD countries.

How to reduce PM2.5? Perspective from a spatial autoregressive threshold panel model

Reducing PM2.5 is an important way to ameliorate air quality. Research on driving factors of PM2.5 can provide empirical support for controlling cross-regional linkage air pollution. In this paper, we first propose a new spatial autoregressive threshold panel model and its estimation method, and then apply this methodology to study influencing elements of PM2.5 using the panel data of China during 2000–2019. The results reveal that China's provincial PM2.5 has a significant positive spatial spillover effect, and its major driving factors have significant two regimes threshold characteristic when economic development is divided into low and high levels. Specifically, (1) PM2.5 concentration in adjacent provinces increases 1% can lead to that in observing province increases 0.7741%. (2) The positive impacts of population size, energy structure and humidity on PM2.5 are significant at low economic level, and become not significant at high economic level. (3) The influence of industrialization, economic development, energy intensity, urbanization and wind speed on PM2.5 in two regimes is significantly positive, and elasticity coefficients of industrialization and economic development decrease with improvement of economic level while energy intensity, urbanization and wind speed are on the contrary. (4) The influence of possession of civil vehicles on PM2.5 changes from negative to positive as economic level increases. (5) Temperature has no significant effect on PM2.5 concentration. (6) The influence of precipitation on PM2.5 is significantly positive in regime II and not significant in regime I. Therefore, local governments should strengthen cooperation with adjacent provinces and jointly adopt effective measures to cut down on PM2.5 pollution. The provinces with low economic level should accelerate economic transformation, improve industrial production efficiency, optimize energy structure, and advocate green and low-carbon lifestyle. The provinces with high economic level need to further expand consumer demand, actively develop tertiary industries, promote new energy vehicles and vigorously develop public transport.

Green credit, carbon emission and high quality development of green economy in China

The high-quality development of green economy is an important way for the future development of China’s economy, but the academic research is relatively few. Based on the panel data of 30 provinces (cities and districts) in China from 2003 to 2019, using Moran index, Spatial Dobbin Model (SDM), intermediary effect and so forth, this paper constructs an evaluation index for the high-quality development of green economy. This paper tries to answer the impact of green credit, carbon emissions and the high-quality development of the green economy and some other important questions. Answering the above questions can effectively help government departments to better formulate policies to achieve long-term development goalsThe results are as follows: the improvement of the level of green credit is conducive to promoting the high-quality development of green economy, and the rise of high-quality development level of green economy in a certain region will obviously drive the high-quality development level of green economy in adjacent regions. Meanwhile, carbon dioxide emission plays an intermediary role between green credit and high-quality development of green economy. The impact of green credit on the high-quality development of green economy is more obvious in areas with high economic development level. Moreover, with the improvement of high-quality development of green economy, the promotion effect of green credit is increasing. This research fills the gap in this field at home and abroad and provides ideas and suggestions for the future development of China’s economy.

Effects of industrial green total factor energy efficiency on haze abatement: A spatial econometric analysis based on China's 272 cities.

Environmental issues represented by haze pollution have become the focus of all sectors of society. Industrial activities, especially industrial energy consumption play an important role in it. After the energy consumption of provincial industrial sectors is decomposed into urban industrial sectors through nighttime light data, this study measures the industrial green total factor energy efficiency (IGTFEE) of Chinese cities from 2003 to 2017, and the haze abatement effect of IGTFEE is investigated from the perspective of spatial correlation. The results show that China's haze pollution and IGTFEE present a positive spatial cluster. Additionally, China's haze pollution has obvious path dependence that shows a monotonous decreasing trend as the aggravation of haze pollution. Meanwhile, although haze pollution shows a serious leakage effect, it plays a warning role in haze control in surrounding areas. This effect is stronger in the most severely polluted areas that have higher economic levels. Not only does the improvement of IGTFEE have a positive effect on local haze abatement but can control haze pollution in spatially related areas through spillover effects and spatial feedback effects. However, the effects are significantly heterogeneous and asymmetric across quantiles, where IGTFEE has a marginal diminishing distribution on haze abatement at the middle and low quantiles, but the haze pollution has intensified at the high quantiles due to the energy rebound effect. The results also reveal that haze abatement conforms to the spatial EKC hypothesis in China. Meanwhile, industrial agglomeration, environmental regulations, and industrial upgrading are vital drivers for haze abatement.

Evolution and Prediction of the Coupling Coordination Degree of Production–Living–Ecological Space Based on Land Use Dynamics in the Daqing River Basin, China

Located in China’s Beijing–Tianjin–Hebei region, the Daqing River Basin has a high economic development level. The natural and social conditions within the basin vary greatly, and the spatial configuration of the Production–Living–Ecological Space (PLES) between different sub-regions is unbalanced, with problems and contradictions in the functions of PLES becoming increasingly prominent. This study constructs a PLES classification system for the Daqing River Basin based on multi-period land use data, simulates the future land use evolution of the basin using the Patch-Generating Land Use Simulation (PLUS) model, calculates the coupling degree (CD) coupling coordination degree (CCD) of PLES from 1992 to 2020, and, under the natural trend development scenario (NT), cropland preservation development scenario (CP), and ecological preservation development scenario (EP) of 2030, quantitatively analyses the historical evolution and future direction of the three-life spatial. The results show that: (1) From 1992 to 2020, the area of living space in the Daqing River Basin has increased significantly, while the area of production space and ecological space has decreased significantly. Compared to NT, CP is beneficial to the maintenance of production space, while the EP is beneficial to the maintenance of ecological space. (2) Globally, the CD and the CCD of PLES in the Daqing River Basin show an increasing trend from 1992 to 2010 and a decreasing trend from 2010 to 2020. In 2030, the CD and the CCD of PLES of the three development scenarios decrease significantly compared to 2020; however, the decrease in CP is slight. (3) By region, from 1992 to 2020, the CCD of PLES in the western and eastern parts of the Daqing River Basin increases relatively more, while the central part increases slightly. Compared to 2020, the CCD of PLES in the central part of the Daqing River Basin is predicted to decrease significantly under NT and EP in 2030, while the decrease is slightly less under CP. In all three scenarios, there are some areas where the CCD of PLES increases in the western areas. This study highlights the internal variability of the spatial evolution of PLES in the basin and focuses on the impact of different future development scenarios on the spatial changes of PLES, which can offer an enlightenment for high-quality development and sustainable territorial spatial planning in the Daqing River Basin.

Comprehensive Quantification and Model Optimization of Sports Industry Layout Structure under the Guidance of Location Entropy Intelligent Sensor

The field bus control system based on field bus is a multidisciplinary emerging technology with intelligent sensor, automatic control, computer, communication, network, and other technologies as the main content. All have broad application prospects. In this paper, the CAN bus technology in the field bus is combined with the sensor, and the OPC technology is used to realize the acquisition of the underlying data in the application and control system. In this paper, the industry agglomeration model, the leading industry model, the urban gravity model, and its index are calculated, and the agglomeration effect, leading industry, and urban gravity of the sports industry in two provinces and one city in a certain region are judged from the micro level. Location entropy and relative density of technical elements, scale effect function, product income elasticity coefficient, market share, and other economic indicators are compared and described, and the sports leading industry and sports industry growth pole area are deduced, and the corresponding industrial development stage is judged. We analyze the strength of the polarization effect and diffusion effect of the sports industry in the above-mentioned regions. Economic factors, social factors, and traffic road factors are selected to analyze the driving force of the distribution of gymnasiums. According to the results of binary and multivariate correlation analysis, it is found that the gross domestic product is very important to the development of the sports industry and directly determines the regional demand for sports. There are sports industry forms that are clustered in areas with high economic levels; population density is selected as the representative of social factors, and the research results show that population density has a strong correlation with the number of sports industry distributions. The reason is that the development of the sports industry ultimately depends on demand. It is difficult to form a concentrated demand for related sports activities in areas with small population density, so the distribution of the sports industry is also very small; and the transportation factor is the main factor affecting economic development and population flow. Therefore, it also indirectly affects the spatial layout of the sports industry.

Urban Low-Carbon Consumption Performance Assessment: A Case Study of Yangtze River Delta Cities, China

Urban low carbonization has been an essential element in China’s carbon peak and carbon neutrality strategies. An assessment of urban low-carbon performance could provide valuable information for monitoring and guiding the low-carbon transition in cities. However, due to cross-regional carbon transfer, the actual level of achievement would be masked, if the assessment was based only on a production-based index such as carbon emission intensity (CEI). Focusing, instead, on consumption-based low-carbon performance, this study calculated levels of urban carbon consumption intensity (CCI) based on city-level carbon footprint accounting, investigated the patterns and drivers of changes in CCI of 26 Yangtze River Delta (YRD) cities from 2012 to 2015, and conducted a comparative analysis of CEI and CCI data from both static and dynamic viewpoints. It was found that the CCI of YRD cities decreased from 1.254 to 1.153 over the period. Cities at higher economic levels were found to have lower CCI values. Decomposition results show that shifts in production structure, intensity of emissions and changing consumption patterns contributed to the decline in CCI of the YRD area. Richer cities were found to show greater declines in CCI due to decarbonizing structures in production and consumption. The comparative results show that although the CEI and CCI of cities were generally correlated in both static level and dynamic change, the net carbon transfer impacted the correlation sensitivity between various cities. Finally, our findings provide practical guidance on achieving coordinated emission reductions at an inter-city level from both production and consumption perspectives.