Influence of Climate and Socio-Economic Factors on the Spatio-Temporal Variability of Soil Organic Matter: A Case Study of Central Heilongjiang Province, China

For the scientific management of farmland, it is significant to understand the spatio-temporal variability of soil organic matter and to study the influences of related factors. Using geostatistical theory, GIS spatial analysis, trend analysis and a Geographically Weighted Regression （GWR） model, this study analyzed the response of soil organic matter to climate and socio-economic factors in central Heilongjiang Province during the past 25 years. Second soil survey data of China for 1979-1985, 2005 field sampling data, climate observations and socio-economic data for 1980-2005 were analyzed. First, soil organic matter in 2005 was spatially interpolated using the Co-Kriging method along with auxiliary data sets of soil type and pH. The spatio-temporal variability was then studied by comparison with the 1980s second soil census data. Next, the temporal trends in climate and socio-economic factors over the past 25 years were investigated. Finally, we examined the variation of the response of soil organic matter to climate and socio-economic factors using the GWR model spatially and temporally. The model showed that 53.82% area of the organic matter content remained constant and 29.39% has decreased during the past 25 years. The impact of precipitation on organic matter content is mainly negative, with increasing absolute values of the regression coefficient. The absolute value of regression coefficient of annual average temperature has decreased, and more areas are now under its negative effects. In addition, the areas of positive regression coefficient of annual sunshine hours have northward shifted, with the increasing absolute value of positive coefficient and decreasing absolute value of negative coefficient. The areas of positive regression coefficient of mechanized farming as a socio-economic factor have westward shifted, with the increasing absolute value of negative coefficient and decreasing absolute value of positive coefficient. The area of regions with the positive regression coefficient of irrigation has expanded. The regions with positive regression coefficient of fertilizer use have shrinked. The positive regression coefficient of mulch film consumption has significantly increased. The regression coefficient of pesticide consumption was mainly positive in the west of the study area, while it was negative to the east. Generally, GWR model is capable to investigate the influence of both climatic and socio-economic factors, avoided the insufficiency of other research based on the single perspective of climatic or socio-economic factors. Therefore, we can conclude that GWR model could provide methodological support for global change research and serve as basic reference for cultivated land quality improvement and agricultural decision making.

Sociodemographic and Economic Factors Associated with Urinary Bilharzia in the Municipalities of Sô-Ava, Aguegues and N’Dali in Benin

Introduction: This research, conducted in the municipalities of Aguégués, Sô-Ava, and N’dali in Benin, focused on identifying socio-demographic and economic factors associated with urinary bilharzia in 415 school-aged children from 8 to 14 years. Using urine test strips and filtration techniques, the study found prevalences ranging from 11.88% to 34.53% across the municipalities. Method: Epidemiological data (urine) were collected and examined with test strips to assess the presence of terminal haematuria: the prevalence of infestation and parasite density was quantified using the filtration technique. Socio-demographic and economic factors were recorded using a questionnaire to assess the correlation with disease. Results: Prevalences of 34.53% (N = 48 out of 139), 13.53% (N = 18 out of 133) and 11.88% (N = 17 out of 143) respectively for the municipalities of Aguégués, N’dali and Sô Ava were calculated. The study showed that the variables “age”, “sex”, “religion” and “socio-professional” activity were not significantly correlated with bilharziasis (p > 0.05) and it appears that these factors are not related to bilharziasis in the surveyed households. While age, sex, religion, and socio-professional activity showed no significant correlation with bilharziasis, factors like agriculture, fishing, and place of residence were statistically significant in relation to the disease. Conclusion: The findings suggest that these socio-demographic and economic factors impede the elimination of schistosomiasis in the examined areas.

Temporal variations of heavy metals in coral Porites lutea from Guangdong Province, China: Influences from industrial pollution, climate and economic factors

The eight heavy metals Cr, Mn, Co, Ni, Cu, Zn, Cd, and Pb have been determined in samples of coral Porites lutea collected from Dafangji Island waters (21°21′N, 111°11′E), Dianbai County, Guangdong Province, China, by the ICP-MS method. The samples represent the growth of coral in the period of 1982-2001. The results showed that the waters were polluted by the heavy metals Cu, Ni, Zn, and Pb in certain years, but not by other metals. The contamination may have come from industrial sources, including electroplating, metallurgy, mining, and aquatic industries in the coastal areas.; The correlation coefficients among the metals and climatic and economic factors indicate that the metals Ni, Zn, and Cd behave similarly. Copper and Mn are positively correlated, and cobalt is negatively correlated with Cr, Ni, Zn, and Cd. Lead is not correlated with any other metals but is correlated with sea surface water temperature, air temperature, GDP and industrial-agricultural production in Dianbai County. Lead in corals is related to the enhanced pollution level of ocean waters as a result of increased industrial activities.

Social Cultural and Economic Factors Affecting the Practice of Secondary Prevention among Patients with Type 2 Diabetes Mellitus at Consolata Nkubu and Meru Level Five Hospital in Meru County

Diabetes is chronic metabolic disorder characterized by states of hyperglycemia with disturbances of carbohydrates, fat and protein metabolism. Diabetes affects millions of people globally every day and the prevalence of the disease is on the rise due to unhealthy diet and lifestyle. The disorder usually results to chronic complications including cardiovascular diseases, diabetic nephropathy, diabetic neuropathy, foot ulcers and diabetic eye diseases that are all preventable through secondary preventive measures. Once an individual has been diagnosed with T2DM, secondary preventive approaches are essential in preventing the occurrence of chronic complications. However, lack of awareness of these measures has been cited as the common reasons for the development of complications. The study aimed to assess the effect of social cultural and economic factors on the practice of secondary diabetes prevention among patients with Type 2 Diabetes Mellitus (T2DM) at Consolata Hospital Nkubu and Meru Level Five Hospital between March and April 2019. A descriptive correlational study design was adopted to collect data from 357 purposively sampled participants with T2DM using questionnaires and Focus Group Discussion Guide. Quantitative data were analyzed using SPSS version 25 at 95% confidence interval and a significance level p ≤ 0.05. Most respondents attended Meru Teaching and Referral Hospital. Majority of the respondents were aged between 40 - 60 years. Most respondents 31.6% had secondary level of education and majority 67% was employed. Concerning secondary prevention, majority did foot examination on every visit 70.6% and BP monitoring 69.5% while 56.5% did annual eye screening. Level of income, affordability of services, health insurance cover of the patients, monthly cost of DM management and traditional beliefs in managing DM all significantly influenced DM secondary prevention at a p value ≤ 0.05. The factors need to be addressed to reduce the global burden posed by the disease.

Dynamic Variation of Vegetation and Its Response to Economic Factors in the Border Area of Heilongjiang Province

[Objective] The aim was to study the dynamic variation of vegetation and its response to economic factors in the border area of Heilongjiang Province.[Method] Based on SPOT Vegetation NDVI data in each 10 days from 1998 to 2007,the dynamic variation of vegetation in the border area of Heilongjiang Province in recent 10 years was studied,and the response of vegetation variation to economic factors was analyzed in the paper.[Result] On the whole,vegetation coverage was high in the border area of Heilongjiang Province from 1998 to 2007,and showed increasing trend.Except for parts of Huma County showing degrading trend,the whole vegetation condition in the border area of Heilongjiang Province was basically constant or improved,and the region with constant vegetation accounted for 71.00%,while the region with slight improved vegetation occupied 26.81%.Meanwhile,vegetation index and GDP increased on the whole from 1998 to 2007,but there was no complete consistency in their trends.In addition,MNDVI was significantly positively correlated with the average salary of local workers (P<0.01),but significantly negatively correlated with farmland area (P<0.01),and the negative correlation was delayed,that is to say,the decrease of farmland area in the first year would affect MNDVI in the second and third year.[Conclusion] The study could provide scientific references for the establishment of policies about economic development and ecological environment in Heilongjiang River basin.

Modelling Impacts of Socio-Economic Factors on Temporal Diffusion of PV-Based Communal Grids

Impacts of socio-economic factors on temporal diffusions of solar electricity microgeneration systems in a rural developing community are modelled and simulated using an agent-based model (ABM). ABMs seek to capture the overall macro-effects of different micro-decisions in a virtual world;they model individual entities within a complex system and the rules that govern them to capture the overall effects of their interactions. Results showed that falling PV costs coupled with generally increasing grid electricity costs would lead to increased uptake of PV systems in such communities. On the other hand, high lending rates in most developing nations would stifle use of credit facilities in purchases of PV systems and thus diminishing their uptakes. Results also showed that introduction of favourable government policies in forms of subsidies would strongly stimulate PV installations in such communities. Social acceptance is important for diffusion of any new technology into a given market and more so with solar systems;results show that neighbourhood influence plays major roles in PV diffusions with many households installing PV systems if their neighbours within a given sensing radius do the same. Results also showed that requiring a certain percentage of neighbours to have installed PV before a household considered doing the same could have negative effects on PV installations as decisions to install PV are influenced by many independent and dependent factors and not by neighbourhood threshold alone.

Effects of economic factors on median list and selling prices in the U.S.housing market

This study investigates the effects of key economic factors on the median list price and median selling price in the U.S.housing market.Key economic factors such as interest rates,unemployment rates,inflation rates,real gross domestic product,money supply,mortgage rate,Standard&Poor’s(S&P)500,and government expenditure are investigated to understand their relationships with housing prices.Conventional econometric models are typically used for housing market analysis;however,advancements in data science and machine learning allow these relationships to be examined more accurately.This study employs a decision tree regressor,k-nearest neighbors,random forest,and gradient boosting to enhance analysis accuracy and feature selection,thus enriching literature pertaining to machine learning in the housing market domain.The significance of housing market data as an indicator of economic growth is emphasized,and its effect on the overall economy,consumer spending,investment patterns,and financial stability is discussed.By utilizing a robust dataset and performing rigorous preprocessing,this study aims to provide valuable insights for policymakers,investors,and individuals involved in the housing sector.

Influential Factors on Economic Benefit of Rice Farmers

[Objective] This study was to provide references for the improvement of agricultural economic benefit by analyzing the main factors on influencing the economic benefit of rice farmer. [Method] Field survey was carried out on 300 rice farmers in Suizhou, Wuxue and Xiaogan of Hubei Province. Through the descriptive statistics to the production input and output data of the sample farmers, the econometric model was established to conduct empirical test on the economic benefit of rice farmer and the influential factors. The optimal production scale for rice farmer was also estimated, and through the theoretical and empirical analysis of the optimal production scale, countermeasures were put forward with the aim to promote economic benefit of rice farmer. [Result] The application of fertilizer affected the economic benefit most, followed by the planting area; food policy, farming population and average economic income per capita had significant effects on the economic benefit of rice production; economic benefit was beneficial for cost control. [Conclusion] This study had great practical and instructive significance for stabilizing national food production, ensuring regional and national food safety.

Impacts of socio-economic factors on sediment yield in the Upper Yangtze River

In recent years, the role of human activities in changing sediment yield has become more apparent for the construction of hydraulic engineering and water conservation projections in the Upper Yangtze River, but it has not been evaluated at the macro scale. Taking Sichuan Province and Chongqing City as an example, this paper studies the relationship between socio-economic factors and sediment yield in the Upper Yangtze River based on section data in 1989 and 2007. The results show that sediment yield is significantly correlated with population density and cultivated area, in which the former appears to be more closely related to sediment yield. Moreover, in the relation of sediment yield vs. population density, a critical value of population density exists, below which the sediment yield increases with the increase of population density and over which the sediment yield increases with the decrease of population density. The phenomenon essentially reflects the influence of natural factors, such as topography, precipitation and soil property, and some human activities on sediment yield. The region with a higher population density than critical value is located in the east of the study area and is characterized by plains, hills and low mountains, whereas the opposite is located in the west and characterized by middle and high mountains. In the eastern region, more people live on the lands with a low slope where regional soil erosion is slight; therefore, sediment yield is negatively related with population density. In contrast, in the western region, the population tends to aggregate in the areas with abundant soil and water resources which usually lead to a higher intensity of natural erosion, and in turn, high-intensity agricultural practices in these areas may further strengthen local soil erosion. It is also found that population tends to move from the areas with bad environment and high sediment yield to the areas with more comfortable environment and less sediment yield. The natural factors have greater influence on sediment yield of western region than that of eastern region. Generally, the natural factors play a dominant role on sediment yield in the Upper Yangtze River.

Regional Economic Factors for Weighted Evaluation of Onshore Natural Gas in China

本文研究了中国陆上天然气经济效用的地质及相关影响因素。主要研究结论如下:天然气勘探开发成本主要与气田(藏)的深度及储盖层的岩性参数相关,开采成本主要受自然地理因素以及相应储层物性参数影响,而气田(藏)丰度、有效厚度、孔隙度、渗透率和气藏类型是影响天然气产量的主要因素。基于上述研究结论,建立了针对投资成本、价格因素和气田经济价值的千米井深日产量计算公式和区域判断标准。根据判别标准,本文分析了中国不同区域且具有指标意义的天然气田(藏)的经济效用,并针对中国天然气产业经济发展提出了相应的结论和建议。

Economic Influencing Factors of Trade Volume Between China and RCEP Member States

This paper examines the impact of key economic factors on trade volumes between China and the Regional Comprehensive Economic Partnership(RCEP)member states.Studies have shown that gross domestic products(GDP),exchange rate,and inflation have an impact on China’s import and export trade volume with RCEP member states.China’s export trade volume to RCEP member states is deeply affected by China’s GDP,but the import trade volume depends on China’s domestic demand and market.The impact of exchange rates on import and export trade volumes varies from country to country.China’s export volume to RCEP member states is generally more affected by the consumption level of its residents than the consumption level of Chinese residents.

Analysis on the accident casualties influenced by several economic factors based on the traffic-related data in China from 2004 to 2016

Purpose:By studying the economic data related to road traffic accidents in recent 10 years,this paper explores the impact of various economic factors on the number of casualties in traffic accidents in China,and puts forward related prevention and management measures.Methods:Based on five economic factors including the number of new health institutions,health investment,transportation investment and disposable income per capita,this paper collects the data of traffic accidents in 31 provinces and municipalities of China from 2004 to 2016 and estimates the parameters using fixed effect model.Results:The number of health institutions,health investment,transportation investment and disposable income per capita are negatively correlated with the number of traffic accident casualties;the number of new health institutions is positively correlated with the number of traffic accident casualties;health investment and transportation investment have a great impact on the number of road traffic accident casualties.Conclusion:Economic development has a positive impact on improving traffic conditions,but the increase in the number of new health institutions does not reduce the number of casualties in accidents.The irrational layout of health institutions and imperfect road traffic management mechanism should be taken into account.

Spatio-temporal Difference and Influencing Factors of Environmental Adaptability Measurement of Human-sea Economic System in Liaoning Coastal Area

Adaptability theory is an important tool to analyze the degree, mechanism and process of interaction between human and environment, which provides a new perspective for the research of sustainability assessment. Based on the entropy weight-TOPSIS method and the panel Tobit model from the perspective of adaptability, spatio-temporal difference and influencing factors of environmental adaptability assessment of human-sea economic system in Liaoning coastal area was measured by using the city panel data from 2000 to 2014. The results indicate that: 1) The environmental adaptability of human-sea economic system in Liaoning coastal area rose slowly from 2000 to 2014, the developing trend of each city was linearly related, and Dalian was in a leading position. 2) The different adaptability elements and adaptability subsystem show polarization phenomenon and completely different regional evolution characteristics. The adaptability of human-sea environment system and human-sea economic system rose slowly and had the characteristics of linear relationship, and the adaptability of human-sea environment system is the main reason for the difference of environmental adaptability of human-sea economic system. 3) Science and technology, environmental management, marine economic development level, port construction are the driving factors of the healthy development of environmental adaptability of urban human-sea economic system.

Regional Geochemical Characteristics and Influence Factors of Soil Elements in the Pearl River Delta Economic Zone, China

Soil heavy metal pollution is one of the main environmental problems in Pearl River Delta Economic?Zone of China. Based on multi-purpose regional geochemical survey, regional eco-geochemical assessment, local eco-geochemical assessment and comprehensive appraisal, the eco-geochemical survey and assessment in Pearl River Delta Economic Zone of 41,698 km2?were completed. Samples from soils were collected in accordance with the two-layer grid method. Totally 54 elements and indicators for soils were determined. Compared to deep soils, the sampled surface soils are enriched in OrgC, N, P, Cd, S,Hg, Ag, B, Au, S and poor with As, Ni, I, Co, Cr, V, MgO, Sc, Al2O3, Fe2O3?etc. The characteristics of geochemical reference value of element in soil that inherited soil parent material and regional elements combined features reflected that the elements enriched in the soil was interrelated with acid rock, sandstone and shale. The spatial distribution characteristics of element regional geochemistry were conditional by regional environmental geological conditions,and effected by human activities. The Pearl River Delta plain is a typical geochemical landscape area with regional anomaly of multiple-elements. The north, western and eastern parts of the Pearl River Delta Economic Zone are quite different in geochemical features due to regional geological background, soil parent materials, geomorphic characteristics and human activities. Environment quality evaluation results show that the grade I and grade II soil accounted for 19.9% and 57.3% of the total area. Many samples that widely distributed in the economic developed of Pearl River Delta Plain area reached the third-grade of national soil environment standard. The soil enriched in Cd, Hg, As, and the area ratio accounting for 22.8% of the total area. It is mainly controlled by the geochemical background, the Pearl River Delta formation evolution process, especially the marine transgression process lead to Cd, Cu, Zn and Pb enrichment in Pearl River Delta plain. At the same time, under the influence of higher pressure of human activities, all kinds of exogenous input material carrying heavy metal pollutants on soil environmental quality also could not to ignore.

Socio-economic status and lifestyle factors are associated with achalasia risk: A population-based case-control study

AIM: To evaluate the association between various lifestyle factors and achalasia risk.METHODS: A population-based case-control study was conducted in Northern Ireland, including n = 151 achalasia cases and n = 117 age- and sexmatched controls. Lifestyle factors were assessed via a face-to-face structured interview. The association between achalasia and lifestyle factors was assessed by unconditional logistic regression, to produce odds ratios(OR) and 95% confidence interval(CI).RESULTS: Individuals who had low-class occupations were at the highest risk of achalasia(OR = 1.88, 95%CI: 1.02-3.45), inferring that high-class occupation holders have a reduced risk of achalasia. A history of foreign travel, a lifestyle factor linked to upper socioeconomic class, was also associated with a reduced risk of achalasia(OR = 0.59, 95%CI: 0.35-0.99). Smoking and alcohol consumption carried significantly reduced risks of achalasia, even after adjustment for socio-economic status. The presence of pets in the house was associated with a two-fold increased risk of achalasia(OR = 2.00, 95%CI: 1.17-3.42). Nochildhood household factors were associated with achalasia risk.CONCLUSION: Achalasia is a disease of inequality, and individuals from low socio-economic backgrounds are at highest risk. This does not appear to be due to corresponding alcohol and smoking behaviours. An observed positive association between pet ownership and achalasia risk suggests an interaction between endotoxin and viral infection exposure in achalasia aetiology.

Spatiotemporal Pattern of Cultivated Land Pressure and Its Influencing Factors in the Huaihai Economic Zone, China

Cultivated land pressure represents a direct reflection of grain security. Existing relevant studies rarely approached the spatiotemporal pattern of cultivated land pressure or the spatial heterogeneity of its influencing factors from the level of economic zones.Taking the Huaihai Economic Zone(HEZ), China for case analysis, this study investigated the spatiotemporal pattern of cultivated land pressure in diverse periods from 2000 to 2018 based on a modified cultivated land pressure index and spatial correlation models. On this basis, it explored the influencing factors of the spatial differentiation of cultivated land pressure in the late stage of the study using geographical detector as well as multi-scale geographically weighted regression model. The results indicated that: 1) in the study period, the global cultivated land pressure index of the study area decreased gradually, but cultivated land pressure increased locally in a significant way, especially in the central and southern Shandong Province;2) the spatial pattern of cultivated land pressure manifested global clustering features. Hot and secondary-hot spots presented a narrowing and clustering trend, whereas cold and secondary-cold spots manifested a spreading and clustering trend;3) average slope, the proportion of non-grain crops, population urbanization rate, and multiple cropping index have significant effects on the spatial differentiation of cultivated land pressure. The former three factors were positively correlated with cultivated land pressure, and the last factor was negatively correlated with cultivated land pressure;and 4) the amount of cultivated land has increased in the central and southern Shandong Province through land consolidation which, nonetheless, failed to improve the grain production. In regards to major grain producing areas similar to the HEZ in China, the authors suggest that great importance should be given to the balance of the quality and quantity of cultivated land, the optimization of agricultural production factors and the rational control of non-grain crops, thus providing a powerful guarantee for grain security in China.

Total Factor Productivity and Influence Factors of Economic Environment in the Yellow River Delta

The paper analyzed total factor productivity of Binzhou City, and key factors that influence its economic growth and effluent discharge. The results showed that(i) production efficiency of the city during 2005–2013 kept stable, mean of Malmquist-Luenberger index was 1.044,9 without considering effluent discharge, and the average annual increase rate was 4.49%, and that was 1.020,4 considering effluent discharge, the average annual increase rate was 2.04%, and the increase rate reduced by 2.45%.(ii) GDP growth showed significant negative correlation and positive correlation with capital input and energy input, but insignificant negative correlation and positive correlation with labor force input and technological progress.(iii) Effluent discharge showed insignificant negative correlation and positive correlation with capital input and energy input, but significant negative correlation and positive correlation with labor force input and technological progress.

Influencing factors of forestry economic growth in Guangdong province

Based on the data of Guangdong Rural Statistical Yearbooks(2011-2018)and Guangdong statistical yearbook(2011-2018),the grey correlation analysis method was used to analyze the factors influencing the growth of forestry economy in Guangdong province.The results show that the correlation of GDP and forestry economic growth,the correlation of afforestation area and forestry economic growth,the correlation of sunshine hours and forestry economic growth,the correlation of population density and forestry economic growth,the correlation of forest coverage rate and forestry economic growth,the correlation of annual average temperature and forestry economic growth,the correlation of average annual rainfall and forestry economic growth,the correlation of the number of forestry workers and the growth of forestry economy,the correlation of total forestry investment and forestry economic growth,are gradually decreased.

Analysis on the Environmental Factors of Sustainable Economic Development

1. China’s environmental problems 1) Serious water pollution. Water is most indispensable to people’s life. Contaminated water will seriously affect people’s normal life and cause environmental degradation, putting people in the danger of catching various diseases. Therefore, everyone should save water and make full use of it. However, in China, water pollution is getting worse. China has abun-

Resource and environmental factors should be included in economic analytical framework

In the economic analysis framework,natural resources and environmental factors are included in the category of capital or land.Hence,the explanatory variables of the production function only include capital,labor and the residue term technology.Such framework may be designed for methodological reasons,but it is