Path Analysis of High-Quality Development of Regional Economy The Role and Impact of Industrial Policies

With China’s economic development entering a new normal,high-quality regional economic development has become an important goal of current economic development.As one of the important means to promote high-quality development of the regional economy,industrial policies are increasingly receiving attention in terms of their role and impact.This article mainly conducts an in-depth analysis of the mechanism and impact path of industrial policies,exploring the role and impact of industrial policies in promoting high-quality regional economic development.Firstly,industrial policies play an important role in promoting high-quality regional economic development.Secondly,the impact path of industrial policies on the high-quality development of the regional economy mainly includes promoting industrial structure upgrading,promoting technological innovation,guiding resource allocation,and enhancing enterprise competitiveness.Therefore,it is necessary to increase research and practice on industrial policies,continuously optimize policy measures,and promote high-quality development of the regional economy.

Feasibility and Path Analysis of Integrating Innovation and Entrepreneurship Education into“One-Stop”Student Communities

The“one-stop”student community provides new support for innovation and entrepreneurship education in universities.Integrating innovation and entrepreneurship education into the“one-stop”student community work enriches course materials,integrates teacher resources,improves students’participation in innovation and entrepreneurship,and solves problems such as low student participation,lack of course resources,insufficient teacher resources,and single evaluation methods in traditional classrooms.Through various means such as exploring course resources,innovating management models,and strengthening team construction,the role of“one-stop”student communities in innovation and entrepreneurship education has been fully utilized,promoting the development of innovation and entrepreneurship education.

Impact of climate factors on runoff in the Kaidu River watershed:path analysis of 50-year data

Runoff formation is a complex meteorological-hydrological process impacted by many factors,especially in the inland river basin.Based on the data of daily mean air temperature,precipitation and runoff during the period of 1958-2007 in the Kaidu River watershed,this paper analyzed the changes in air temperature,precipitation and runoff and revealed the direct and indirect impacts of daily air temperature and precipitation on daily runoff by path analysis.The results showed that mean temperature time series of the annual,summer and autumn had a significant fluctuant increase during the last 50 years（P 0.05）.Only winter precipitation increased significantly（P 0.05） with a rate of 1.337 mm/10a.The annual and winter runoff depthes in the last 50 years significantly increased with the rates of 7.11 mm/10a and 1.85 mm/10a,respectively.The driving function of both daily temperature and precipitation on daily runoff in annual and seasonal levels is significant in the Kaidu River watershed by correlation analysis.The result of path analysis showed that the positive effect of daily air temperature on daily runoff depth is much higher than that of daily precipitation in annual,spring,autumn and winter,however,the trend is opposite in summer.

Path Analysis on Environmental Factors Controlling Runoff and Sediment Yields in Shelter Forests in Three Gorges Reservoir Region

Effects of environmental factors such as climate,topography,vegetation and soil in shelter forests in Three Gorges Reservoir Region on runoff and sediment yields were monitored to identify dominant environmental factors controlling runoff and sediment yields in 15 runoff plots in study area by soil sampling,laboratory analysis,stepwise regression analysis and path analysis,and to establish the main control environmental factors that affect runoff and sediment yields. The results showed that soil bulk density,herbaceous cover,slope,and canopy density were the significant factors controlling runoff,and the direct path coefficient of each factor was ranked as canopy closure(-0. 628) > litter thickness(-0. 547) > bulk density( 0. 509) > altitude( 0. 289). The indirect path coefficient was ranked as soil bulk density( 0. 354) >litter thickness(-0. 169) > altitude( 0. 126) > canopy closure(-0. 104). Therefore,canopy closure and litter thickness mainly had direct effects on runoff,while soil bulk density mainly had indirect effects through their contributions to other factors. Herbaceous cover,litter thickness,slope,canopy density,and altitude were the significant factors controlling sediment yields. The direct path coefficient of each factor was ranked as herbaceous cover(-0. 815) > litter thickness(-0. 777) > canopy closure(-0. 624) > slope( 0. 620). The indirect path coefficient was ranked as slope( 0. 272) > litter thickness(-0. 131) > canopy closure(-0. 097) > herbaceous cover(-0. 084). Therefore,herbaceous cover and litter thickness mainly had direct effects on sediment yields,while slope mainly had indirect effects through their contributions to other factors. All the selected environmental factors jointly explained 85. 5% and 78. 3% of runoff and sediment yield variability,respectively. However,there were large values of remaining path coefficients of other factors influencing runoff and sediment yields,which indicated that some important factors are not included and should be taken into account.

Path analysis and estimation of additive and epistatic gene effects of barley SSD lines

In the paper presented, 99 single seed descent barley lines as well as their parental forms Roland and Apex were studied. The grain weight components and their interrelations were analyzed using simple coefficients of correlation. The direct and indirect effects of such components on grain weight per plant and 1 000-grain weight were estimated using path analysis. In the 2006 and 2007, the spike length and number of spikelets per spike were the determinants of grain weight. Genetic parameters as additive and epistasis effects were estimated for all studied traits. The results indicate the importance of both additive and epistasis gene effects of number of spikes per plant, grain weight per spike, grain number per plant and grain weight per plant in this study.

User Behavior Path Analysis Based on Sales Data

With the rapid development of science and technology and the increasing popularity of the Internet,the number of network users is gradually expanding,and the behavior of network users is becoming more and more complex.Users’actual demand for resources on the network application platform is closely related to their historical behavior records.Therefore,it is very important to analyze the user behavior path conversion rate.Therefore,this paper analyses and studies user behavior path based on sales data.Through analyzing the user quality of the website as well as the user’s repurchase rate,repurchase rate and retention rate in the website,we can get some user habits and use the data to guide the website optimization.

Using Path Analysis to Identify the Influence of Climatic Factors on Spring Peak Flow Dominated by Snowmelt in an Alpine Watershed

Spring snowmelt peak flow(SSPF) can cause serious damage. Precipitation as rainfall directly contributes to the SSPF and influences the characteristics of the SSPF, while temperature indirectly impacts the SSPF by shaping snowmelt rate and determining the soil frozen state which partitions snowmelt water into surface runoff and soil infiltration water in spring. It is necessary to identify the important and significant paths of climatic factors influencing the SSPF and provide estimates of the magnitude and significance of hypothesized causal connections between climatic factors and the SSPF.This study used path analysis with a selection of five factors – the antecedent precipitation index(API),spring precipitation(SP), winter precipitation as snowfall(WS), <0°C temperature accumulation in winter(|ATN|), and average >0°C temperature accumulation in spring(AT) – to analyze their influences on the SSPF in the Kaidu River in Xinjiang,China. The results show that |ATN|, AT and WS have a significant correlation with the SSPF, while API and SP do not show a significant correlation. AT and WS directly influence the SSPF, while as the influence of |ATN| on SSPF is indirect through WS and AT. The indirect influence of |ATN| on SSPF through WS accounts for 69% of the total influence of |ATN| on SSPF. Compared to the multiple linear regression method, path analysis provides additional valuable information, including influencing paths from independent variables to the dependent variable as well as direct and indirect impacts of external variables on the internal variable. This information can help improve the description of snow melt and spring runoff in hydrologic models as well as the planning and management of water resources.

Correlation and path analysis of morphological and weight traits in marine gastropod Glossaulax reiniana

Using correlation and path analysis, the genetic correlation between weight traits and morphological traits was determined in the marine gastropod Glossaulax reiniana. A total of 100 G. reiniana individuals from a wild population were used. Shell width( X 1), shell height( X 2), umbo-callus height( X 3), body width( X 4), operculum length( X 5), operculum width( X 6), body weight( Y 1) and soft-tissue weight( Y 2) were measured, and the correlation coefficient matrix calculated. Morphological traits were used as independent variables and weight traits as dependent variables for path coefficient analysis. Path coefficients, correlation indices and determination coefficients were also determined. Results indicate that the correlation coefficients associated with each morphological and weight trait were all highly significant( P <0.01). After deleting redundant independent variables, the following optimum multiple regression equations were obtained using stepwise multiple regression analysis: Y 1 =- 29.317+0.362 X 2 +0.349 X 4 + 1.190 X 5 for body weight; and Y 2 =- 17.292+0.166 X 1 +0.171 X 2 +0.703 X 5, for soft-tissue weight. Operculum height had the highest positive direct correlation with both body weight and soft-tissue weight, which was in accordance with the test results obtained from determinate coefficient analysis. The indication of high genetic correlations between weight traits and morphological traits will provide valuable information for G. reiniana breeding programs.

Optimal yield-related attributes of irrigated rice for high yield potential based on path analysis and stability analysis

Improvement of yield in rice(Oryza sativa L.) is vital for ensuring food security in China. Both rice breeders and growers need an improved understanding of the relationship between yield and yield-related traits. New indica cultivars(53 in 2007 and 48 in 2008) were grown in Taoyuan,Yunnan province, to identify important components contributing to yield. Additionally, two standard indica rice cultivars with similar yield potentials, II You 107(a large-panicle type) and Xieyou 107(a heavy-panicle type), were planted in Taoyuan, Yunnan province and Nanjing,Jiangsu province, from 2006 to 2008 to evaluate the stability of yield and yield-related attributes.Growth duration(GD), leaf area index(LAI), panicles per m2(PN), and spikelets per m2(SM) were significantly and positively correlated with grain yield(GY) over all years. Sequential path analysis identified PN and panicle weight(PW) as important first-order traits that influenced grain yield. All direct effects were significant, as indicated by bootstrap analysis. Yield potential varied greatly across locations but not across years. Plant height(PH), days from heading to maturity(HM), and grain weight(GW) were stable traits that showed little variation across sites or years, whereas GD(mainly the pre-heading period, PHP) and PN varied significantly across locations. To achieve a yield of 15 t ha-1, a cultivar should have a PH of 110–125 cm, a long GD with HM of approximately 40 days, a PN of 300–400 m-2, and a GW of 29–31 mg.

A path analysis of the cultivated land change in Hubei Province,China

Hubei Province is one of the critical grain production regions in China with the quantitative cultivated landand good natural condition; it plays an important role in grain security in China. However, owing to rapid economicgrowth, population pressures, anthropogenic activities, and natural disasters, the quality of the cultivated land hassignificantly decreased in recent years and environmental resources are under increasing stress. In order to research onthe mechanism of the change of the cultivated land, this paper analyzes qualitatively the influencing factors of thecultivated land change in Hubei Province from 1978 to 2004, and distinguishes the direct factors from indirect influentones by means of the approach of the path analysis. The result shows that the area of the rent land in the total non-agricultural land, the total population growth and the fixed asset investment are the main factors deciding the change ofthe cultivated land. Meanwhile, the density of the transportation network, the proportion of per capita income of ruralcitizens to that of urban citizens, non-agricultural gross domestic production’s share of the total GDP has a less directeffect but a more indirect influence on the decrease of the cultivated land in Hubei Province. The result means that whilesome factors have less direct influence on the change of the cultivated land, its indirect influence are significant, viceversa. Thus it’s necessary to adopt a comprehensive measurement to protect the cultivated land.

The Shortest Path Analysis Based on Road Network

Rational planning of agricultural product transport route from initial node to destination node can effectively reduce the cost price of agricultural products,and the calculation of shortest path between any two points also affects people’s daily travel.Taking Heze Railway Station to Heze College for example,with remote sensing image data as the base map,we conduct vectorization and topological analysis on roads in the target area.With Dijkstra as theoretical basis of shortest path algorithm,we use ArcG IS network analysis method to build road network,and calculate the planning program of the shortest distance path,the shortest path by driving and the shortest path by walking.

Correlation and Pathway Analysis of the Carbon,Nitrogen,and Phosphorus in Soil-Microorganism-Plant with Main Quality Components of Tea(Camellia sinensis)

The contents of carbon(C),nitrogen(N),and phosphorus(P)in soil-microorganisms-plant significantly affect tea quality by altering the main quality components of tea,such as tea polyphenols,amino acids,and caffeine.However,few studies have quantified the effects of these factors on the main quality components of tea.The study aimed to explore the interactions of C,N,and P in soil-microorganisms-plants and the effects of these factors on the main quality components of tea by using the path analysis method.The results indicated that(1)The contents of C,N,and P in soil,microorganisms,and tea plants were highly correlated and collinear,and showed significant correlations with the main quality components of tea.(2)Optimal regression equations were established to esti-mate tea polyphenol,amino acid,catechin,caffeine,and water extract content based on C,N,and P contents in soil,microorganisms,and tea plants(R^(2)=0.923,0.726,0.954,0.848,and 0.883,respectively).(3)Pathway analysis showed that microbial biomass phosphorus(MBP),root phosphorus,branch nitrogen,and microbial biomass carbon(MBC)were the largest direct impact factors on tea polyphenol,catechin,water extracts,amino acid,and caffeine content,respectively.Leaf carbon,root phosphorus,and leaf nitrogen were the largest indirect impact factors on tea polyphenol,catechin,and water extract content,respectively.Leaf carbon indirectly affected tea polyphenol content mainly by altering MBP content.Root phosphorus indirectly affected catechin content mainly by altering soil organic carbon content.Leaf nitrogen indirectly affected water extract content mainly by altering branch nitrogen content.The research results provide the scientific basis for reasonable fertilization in tea gardens and tea quality improvement.

Path analysis of desirable traits and evaluation of reproductive performance of Crassostrea sikamea in different ages

Kumamoto oysters(Crassostrea sikamea)are important marine aquaculture shellfish because of their taste and round shell shape.Due to its small size,selective breeding is required to improve its market size,but there are no reports on traits suitable for direction selection and reproductive productivity of Kumamoto oysters of different ages.In this study,path analysis and one-way ANOVA were used to explore the influential indices of oyster body weight and fecundity.The results showed that shell height was the main factor affecting the body weight of Kumamoto oysters at one-year-old and two-year-old,followed by shell length.Body weight was the main factor influencing fecundity,and shell height showed a significant correlation with fecundity.Therefore,shell height should be considered the first parameter for selection when selecting Kumamoto oysters for body weight as the direct selection target.When one-year-old and two-year-old Kumamoto oysters were selected as parents from Xiangshan Bay,hatching parameters and growth parameters of F1 generation larvae were measured.The fecundity and egg diameters were 1.72×10^(6)and 46.60±3.62μm,respectively,which were significantly greater than one-aged oysters(5.86×10^(5),40.26±3.52μm).The hatching parameters(fertilized egg size,fertilization rate,and hatching rate)and larval growth performance(D-stage veliger and veliger)were similar and did not differ significantly(P>0.05),and after metamorphosis,there was also no significant difference in shell height size at 40 days of age(P>0.05).Therefore,there was no significant effect of age on reproduction,larval development,and the early growth of Kumamoto oysters.These results could provide a basis for parental sources and proper traits for Kumamoto oyster selection,which is beneficial to developing and utilizing this excellent germplasm resource.

Role of Social Capital in Determining Happiness and Life Satisfaction:Mediation of Self-reported Health Using Path Analysis

This study links social capital with people’s health and well-being using data from the seventh wave of the World Value Survey,logistic regression,and path analysis.The study’s findings show that happiness and life satisfaction are two different measures of the same construct,or well-being.The determinants of each are also characterised differently:while life satisfaction is more of a stable and relative measure and is more strongly influenced by civic cooperation,social participation,and educational attainment,happiness is more of an unstable measure and is more strongly influenced by community belonging,trust and confidence aggregates,including employment and location of residence of an individual.Moreover,freedom of choice,financial satisfaction or social comparison,and state of health were the most important factors influencing happiness and life satisfaction.The findings also show that self-reported health(SRH)has a greater impact on happiness than a measure of life satisfaction.Path analysis shows out of the three other components of social capital—community belonging,civic engagement,and social participation—trust and confidence aggregates are the ones that have the biggest impact on increased social capital.For both well-being measures,SRH mediated the relationship.The life satisfaction measure had a higher level of mediation of SRH than happiness,but social capital had a smaller direct impact on life satisfaction than on happiness.SRH was found to be partially mediating this relationship for both happiness and life satisfaction measures,which means that people with higher social capital reported feeling better off.

Causal Analysis Between Rice Growth and Cadmium Accumulation and Transfer under Arbuscular Mycorrhizal Inoculation

Cadmium(Cd)contamination in rice has been a serious threat to human health.To investigate the effects of arbuscular mycorrhizal fungi(AMF)on the Cd translocation in rice,a controlled pot experiment was conducted.The results indicated that AMF significantly increased rice biomass,with an increase of up to 40.0%,particularly in root biomass by up to 68.4%.Notably,the number of prominent rice individuals also increased,and their plasticity was enhanced following AMF inoculation.AMF led to an increase in the net photosynthetic rate and antioxidant enzyme activity of rice.In the AMF treatment group,the Cd concentration in the rice roots was significantly higher(19.1%‒68.0%)compared with that in the control group.Conversely,the Cd concentration in the rice seeds was lower in the AMF treatment group,indicating that AMF facilitated the sequestration of Cd in rice roots and reduced Cd accumulation in the seeds.Path coefficients varied across different treatments,suggesting that AMF inoculation reduced the direct impact of soil Cd concentration on the total Cd accumulation in seeds.The translocation of Cd was consistently associated with simultaneous growth dilution and compensatory accumulation as a result of mycorrhizal effects.Our study quantitatively analyzed this process through path analysis and clarified the causal relationship between rice growth and Cd transfer under the influence of AMF.

Path analysis of sap flow of tomato under rain shelters in response to drought stress

The physiological characters and growth of tomato(Solanum lycopersicum L.)were recorded to be largely affected by different levels of irrigation.The objectives of this research were to determine the effects of deficit irrigation and rain shelters on sap flow,relative water content and the relationship between sap flow and environmental parameters.Experiments under rain shelters conditions were conducted in southern China during the growing seasons in 2012.The threshold of irrigation was designed at 80%field capacity during the whole period(T1,the control),and 30%,40%and 50%decreased water of T1 were applied as the treatments of T2,T3 and T4.The plants subjected to water stress exhibited a decrease in the values of sap flow rate and relative water content.Calculation of 95%confidence level revealed a significant difference of sap flow rate in T4 and T3 as well as the control on sunny and rainy days.The diurnal variation of the sap flow showed a single peak curve on sunny day,while it demonstrated irregular multi-peak variation on rainy days.The study also showed that the most sensitive environmental indicator affecting sap flow was solar radiation,followed by air temperature and vapour pressure deficit.Direct path coefficient was basically consistent with the coefficient of correlation,but there was slight difference between the total contribution R2 and that of variable factors.

Determinants of self-management behaviors among pulmonary tuberculosis patients: a path analysis

Background Tuberculosis(TB)is one of the top 10 causes of death in the world.Since Directly Observed Therapy(DOT)as a core strategy for the global TB control are not applicable to all types of TB patients,and self-management of TB patients(SMTP)as a patient-centered supervision type is a supplement to DOT and can improve TB case management.However,the factors related to SMTP are complex and need more study.This study aimed at identifying the determinants of SMTP and examining the direct/indirect effects of these determinants.Methods The purposive sampling technique was used to select study sites and participants were recruited from the study sites by the consecutive sampling method.The PRECEDE model was used as the framework to analyze the determinants of SMTP.The responses of TB patients were acquired via a questionnaire survey for data collection.A Pearson correlation analysis was used to define the relationship between the predisposing,enabling,reinforcing factors with SMTP behaviors.A regression-based path analysis was used to determine the action paths of the predisposing,enabling,and reinforcing factors on SMTP behaviors.Results The predisposing(TB knowledge),enabling[health education and healthcare workers(HCWs)support],reinforcing factors(family support)had significant positive correlations with SMTP behaviors(P<0.05).The predisposing,enabling,reinforcing factors were positively correlated with each other(r=0.123‒0.918,P<0.05),except for family support and HCWs support.The predisposing factors(TB knowledge,β=0.330)and the enabling factors(HCWs support,β=0.437)had direct effects on SMTP behaviors.The enabling factors(health education and HCWs support)and the reinforcing factors(family support)had indirect effects on SMTP behaviors.Conclusions This study revealed the effects and action path of TB knowledge,health education,HCWs support,and family support on SMTP behaviors via a path analysis.Assessing patient’s needs for SMTP along with promoting effective TB health education and providing firm support from HCWs and family members are potential strategies to promote SMTP behaviors.

Relationship between PM_(10) and PM_(2.5) levels in high-traffic area determined using path analysis and linear regression

The objective of this study was to determine the relationship between PM10 and PM2.5 levels as related to meteorological conditions and traffic flow using both a linear regression analysis and a path analysis. The Particulate matter（PM） samples were collected from Sukhumvit road, Bangkok, Thailand, at both open（104 samples） and covered（92 samples）areas along the road. Fifteen percent of all samples were separated before the statistical models were run and used for model validation. The results from the path analysis were more elaborate than those from the linear regression, thus indicating that meteorological conditions had a direct effect on the particulate levels and that the effects of traffic flow were more variable in open areas. The model also indicated that meteorological conditions had an indirect effect and that traffic flow had a direct effect on particulate levels in covered areas. The model validation results indicated that for open areas, the R^2 values were not very different between the path analysis and the linear regression model, but that the path analysis was more accurate than the linear regression model at very low PM concentrations. At high PM concentrations, the path analysis model also had a better fit than did the linear regression, so the predictions from the path analysis model were more accurate than those from the linear regression.