scholarly journals Urban Ecological Efficiency and Its Influencing Factors—A Case Study in Henan Province, China

2019 ◽  
Vol 11 (18) ◽  
pp. 5048 ◽  
Author(s):  
Tao Liu ◽  
Jixia Li ◽  
Juan Chen ◽  
Shaolei Yang
Keyword(s):  
Economic Development ◽  
Influencing Factors ◽  
Efficiency Analysis ◽  
Henan Province ◽  
Measure Data ◽  
Ecological Efficiency ◽  
Ecological Civilization ◽  
Growth Trend ◽  
Static And Dynamic Analysis ◽  
Significant Difference

The urban ecological civilization construction relates to welfare of the people and the national future. It is an important field of the high-quality economic development to improve the urban ecological efficiency level. The purpose of this research is to provide a new perspective and method for the quantitative study of the urban sustainable development, and also to provide some decision-making references for the improvement of the urban ecological efficiency in Henan province. This paper uses the slacks-based measure-data envelopment analysis (SBM-DEA) model containing the undesirable output and the Malmquist index model to fully evaluate the urban ecological efficiency level in Henan province during the period of 2005–2016, via both the static and dynamic analysis. Based on this, the bootstrap regression model is applied in analyzing the influencing factors of the urban ecological efficiency. The research shows three findings. First, according to the static efficiency analysis, the urban ecological efficiency in Henan province is low as a whole and has a big promotion space. Moreover, there is a significant difference in the urban ecological efficiency level among the five regions because of the different geographical locations and social and economic development situations of the cities. Second, according to the dynamic efficiency analysis, in the last 12 years, the urban ecological efficiency in Henan province has shown an overall growth trend, and the technological progress has played a major role in promoting the urban ecological efficiency in Henan province. Third, according to the influencing factor analysis, the governmental financial support hinders the improvement of the urban ecological efficiency in Henan province, while the level of opening to the outside world, the urban population density, and the urban greening level promote it.

scholarly journals Valuation of Water Resource Green Efficiency Based on SBM–TOBIT Panel Model: Case Study from Henan Province, China

2020 ◽  
Vol 12 (17) ◽  
pp. 6944
Author(s):  
Yiru Guo ◽  
Yan Hu ◽  
Ke Shi ◽  
Yuriy Bilan
Keyword(s):  
Sustainable Development ◽  
Economic Development ◽  
Water Resources ◽  
Environmental Pollution ◽  
Influencing Factors ◽  
Water Resource ◽  
Henan Province ◽  
Arid Areas ◽  
Efficiency Assessment

With progress in China’s industrialization and urbanization, the contradiction of social and economic development with water resource supply–demand and water environmental pollution becomes increasingly prominent. To cope with the dual constraints of resource shortage and environmental regulations, the concept of water resource green efficiency that considers economic, environmental, and ecological factors is highly involved to promote sustainable economic development. The theoretical and practice circle devote to scientific green efficiency assessment of water resources and effective recognition of relevant influencing factors. However, to an extent they neglect social benefits brought by sustainable development and possible influences of industrial restructuring on green efficiency. They also lack concern on green efficiency of water resources in inland arid areas. To offset the disadvantages of existing studies, the philosophy of sustainable development was integrated into the input–output assessment system of green efficiency of water resources, and an assessment model was constructed using the SBM–Tobit (slack-based measure and Tobit) method. Moreover, a case study based on Henan Province, China was carried out. The green efficiencies of water resources in 18 cities of Henan Province during 2011–2018 were calculated. The operation mechanism of relevant influencing factors was discussed, and the methods to improve green efficiency of water resources were determined. Results reveal that the sustainable green efficiency of water resources in Henan Province increased in fluctuation during 2011–2018. The mean green efficiency increased from 0.425 in 2011 to 0.498 in 2018. At present, green efficiency of water resources in Henan Province remains at a low level, with a mean of 0.504. Reducing water consumption intensity and increasing investment to water environmental pollution technologies can promote green efficiency of water resources significantly. Conclusions provide a new method for scientific measurement and green efficiency assessment of water resources in inland arid areas.

scholarly journals Evaluating the Effectiveness of Regional Ecological Civilization Policy: Evidence from Jiangsu Province, China

2021 ◽  
Vol 19 (1) ◽  
pp. 388
Author(s):  
Lingyun Mi ◽  
Tianwen Jia ◽  
Yang Yang ◽  
Lulu Jiang ◽  
Bangjun Wang ◽  
...  
Keyword(s):  
Economic Development ◽  
Environmental Protection ◽  
Social Life ◽  
Evaluation Model ◽  
Jiangsu Province ◽  
Evaluation Index System ◽  
Ecological Civilization ◽  
Growth Trend ◽  
Policy Optimization ◽  
Textual Content

Evaluating the effectiveness of ecological civilization policies is the basis from which policymakers can optimize policies. From the perspective of the overall effectiveness of regional policies, and taking Jiangsu Province as an example, this study constructed a quantitative evaluation model of eco-civilization policy text and an eco-civilization evaluation index system. Using these tools, this paper evaluates the effectiveness of 53 ecological civilization policies issued by Jiangsu Province during 2004–2019 to promote the construction of ecological civilization in the four fields of resource utilization, environmental protection, economic development, and social life. There are three key findings. (1) During the period of 2004–2019, the effectiveness of the textual content of ecological civilization policies in Jiangsu Province generally showed a fluctuating upward trend. (2) The construction effectiveness indexes of the four fields of eco-civilization all showed a growth trend, but the construction effect varied greatly. The index of economic development had grown rapidly, while environmental protection had grown slowly. (3) Ecological civilization policies in Jiangsu Province were effective in promoting the construction of ecological civilization. However, the effects of different policy dimensions on ecological civilization development in the four fields were significantly different. Finally, based on these results, powerful recommendations are provided for the optimization of eco-civilization policies in Jiangsu Province. Moreover, Jiangsu is the first province in China to launch a provincial-level ecological civilization construction plan. Its policy optimization to promote ecological civilization construction can also provide an example and realistic basis for reference for the construction of eco-civilization in other provinces in China.

scholarly journals Analysis on Measurement, Decoupling Effect and Influencing Factors of Agricultural Carbon Emissions in Major Grain Producing Areas—Taking Henan Province as An Example

2021 ◽  
Vol 261 ◽  
pp. 04030
Author(s):  
YiLin Shen ◽  
Shu Yu
Keyword(s):  
Economic Development ◽  
Agricultural Economic ◽  
Influencing Factors ◽  
Carbon Emissions ◽  
Henan Province ◽  
Total Output ◽  
Chemical Fertilizers ◽  
Decoupling Analysis ◽  
Decoupling Effect ◽  
First Time

Based on the scientific calculation of agricultural carbon emissions in Henan Province, the Tapio decoupling model is used to analyze its relationship with economic development, and its driving factors are analyzed in combination with the LMDI model. The results show that the total amount of agricultural carbon emissions in Henan Province from 2010 to 2019 is on the rise, of which chemical fertilizers are the largest source of carbon emissions. The decoupling analysis shows that before 2019, the weak decoupling between agricultural carbon emissions and the total output value of the planting industry was mainly weak, and a strong decoupling state appeared for the first time in 2019. This means that the level of agricultural economic development is the main force driving the growth of carbon emissions.

scholarly journals Prediction of Vegetable Supply in Henan Province Based on PSO-GM (1, N) Model

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Xueqiang Guo ◽  
Bingjun Li
Keyword(s):  
Influencing Factors ◽  
Prediction Models ◽  
Empirical Test ◽  
Henan Province ◽  
Grey Prediction ◽  
Key Factors ◽  
Growth Trend ◽  
Factors Affecting ◽  
Steady Growth ◽  
Lasso Method

GM (1, N) model is one of the grey prediction models considering the influence of many factors. This paper improves GM (1, N) model and constructs PSO-GM (1, N) model. Firstly, Lasso method is used to select the influencing factors, then the priority of influencing factors and the value of parameter N in GM (1, N) model are determined, and finally PSO method is used to optimize GM (1, N) model. Taking the vegetable supply in Henan Province as the research object, this paper makes an empirical test by using PSO-GM (1, N) model. The results show that the key factors affecting the vegetable supply in Henan Province are the number of rural employees, highway mileage, and application of pesticide. The vegetable supply in Henan Province will continue to show a steady growth trend in the next three years.

scholarly journals Factors Influencing the Earning Capacity of NCBs in Bangladesh: An Evaluation

2018 ◽  
Vol 5 (1) ◽  
pp. 33-38
Author(s):  
Taposh Kumar Neogy ◽  
Aditi Sonia Aishi
Keyword(s):  
Economic Development ◽  
Influencing Factors ◽  
Commercial Banks ◽  
Banking Sector ◽  
Economic Activities ◽  
Earning Capacity ◽  
Significant Difference ◽  
Banking Business ◽  
Creativity And Innovation ◽  
Growth Economic

Recently, Bangladesh economy has been experiencing a rapid growth in most of the sectors of economic activities. For the attainment of higher levels of economic development, Bangladesh is trying to achieve and maintain high rates of economic growth. Economic development and the development of banking sector are closely related. The banks especially state-owned commercial banks have been playing significant role to the development process. The state-owned commercial bank makes the profit through banking business. But there are some factors those influence the profit volume of state-owned commercial banks. The objective of the study is to identify those influencing factors and examine the opinions of the respondents regarding the factors. It is also attempted to see whether there is any significant difference of opinions among the respondents regarding various influencing factors of profit volume using null hypotheses, χ2 test and ANOVA test. It is found that the identified factors include attitude of government, maintenance of privacy, proper control, efficiency of management, conflict in management, creativity and innovation and job satisfaction. The study also revealed that the respondents are unanimous regarding the various influencing factors of profit volume.

scholarly journals Industrial Ecological Efficiency of Cities in the Yellow River Basin in the Background of China's Economic Transformation: Spatial-Temporal Characteristics and Influencing Factors

2021 ◽  
Author(s):  
Chengzhen Song ◽  
Guanwen Yin ◽  
Zhilin Lu ◽  
Yanbin Chen
Keyword(s):  
Economic Development ◽  
Influencing Factors ◽  
River Basin ◽  
Yellow River ◽  
Yellow River Basin ◽  
Economic Transformation ◽  
The Yellow River ◽  
Panel Regression ◽  
Ecological Efficiency ◽  
The Yellow River Basin

Abstract At present, China's economic development has entered a "new normal." Exploring Industrial ecological efficiency (IEE) in the background of economic transformation is of great significance to promote China's industrial transformation and upgrading and achieving high-quality economic development. Based on the Super-Efficiency DEA model, this study evaluated the IEE of cities in the Yellow River Basin from 2008 to 2017. Exploratory spatial data analysis methods were used to explore the spatial-temporal evolutionary characteristics, and a panel regression model was established to explore the influencing factors of IEE. The research results showed that: The IEE in the Yellow River Basin exhibited an elongated S-shaped evolutionary trend from 2008 to 2017, and the mean IEE of cities presented a trend whereby Yellow River Basin’s regions could be ranked in the following order: lower reaches > middle reaches > upper reaches. There was significant spatial autocorrelation of the IEE in the Yellow River Basin, and the hot and cold spots showed an obvious "spatial clubs" phenomenon. The results of panel regression show that the influence factors of IEE in the Yellow River Basin showed spatial heterogeneity in their effect.

scholarly journals Influencing Factors of Carbon Emissions in the Construction Industry Based on Logarithmic Mean Divisia Index: A Case Study of China

2021 ◽  
Vol 20 (4) ◽  
Author(s):  
Wang Lijuan
Keyword(s):  
Economic Development ◽  
Energy Saving ◽  
Construction Industry ◽  
Influencing Factors ◽  
Carbon Emissions ◽  
Emission Reduction ◽  
Carbon Emission ◽  
Henan Province ◽  
Logarithmic Mean

Carbon emission is further intensified as urbanization and industrialization continue to accelerate. China has maintained its rapid economic development and urbanization in the last 2 decades. The development of the construction industry has not only consumed a large number of energy sources but also resulted in significant carbon emissions, causing some environmental damage. Recognizing the major influencing factors of carbon emissions in the construction industry has become a research hotspot to alleviate environmental pollution caused by the construction industry and meet industrial demands for energy saving and emission reduction. In this study, the factors that influence annual carbon emissions of different building types in China from 2011 to 2018 were decomposed by Logarithmic Mean Divisia Index (LMDI) through a case study in Henan Province. The major influencing factors of carbon emissions have been identified. Results demonstrate that the per capita carbon emission in the construction industry in Henan Province remains high from 2011 to 2018, but it decreases year by year. Carbon emissions from the construction industry in Henan Province increase due to economic development and energy structure. Energy efficiency can inhibit carbon emissions from the construction industry in Henan Province. The obtained conclusions have a positive effect on analyzing annual variations in carbon emissions from the construction industry in a region, identifying influencing factors, and proposing specific countermeasures of energy saving and emission reduction.

scholarly journals Prevalence and risk factors of worry among teachers during the COVID-19 epidemic in Henan, China: a cross-sectional survey

BMJ Open ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. e045386
Author(s):  
Yanqing Wang ◽  
Quanman Li ◽  
Clifford Silver Tarimo ◽  
Cuiping Wu ◽  
Yudong Miao ◽  
...  
Keyword(s):  
Influencing Factors ◽  
Age Groups ◽  
Educational Status ◽  
Henan Province ◽  
Anxiety Level ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
School Location ◽  
Fear Level ◽  
Attention Level

ObjectiveTo evaluate the level of worry and its influencing factors during the COVID-19 epidemic among teachers in Henan Province in China.Study designA cross-sectional study was conducted.MethodsWe designed a cross-sectional survey that included 88 611 teachers from three cities in Henan Province, China between 4 February 2020 and 12 February 2020. Level of worry was measured using a five-item Likert scale, with 1 being ‘not worried’ and 5 being ‘very worried’. The OR and 95% CI of potential influencing factors for level of worry among study participants were estimated using ordinal logistic regression models.ResultsAbout 59% of teachers reported being ‘very worried’ about the COVID-19 epidemic. The proportion of female teachers was higher than of male teachers (60.33% vs 52.89%). In all age groups considered in this study, a ‘very worried’ condition accounted for the highest proportion. The age group 40–49 years had the lowest proportion of participants who were very worried, 52.34% of whom were men and 58.62% were women. After controlling for potential confounding factors, age, education level, type of teacher, school location, attention level, fear level, anxiety level and behaviour status were all related to level of worry (all p<0.05).ConclusionDuring the COVID-19 epidemic, there was a high proportion of teachers who were ‘very worried’ about the situation in Henan Province, China. Our study may remind policymakers to consider factors including age, educational status, type of teacher, school location, source of information on COVID-19, attention level, anxiety level, fear level and behaviour status to alleviate worry.

scholarly journals Impact of Violent Experiences and Social Support on R-NSSI Behavior among Middle School Students in China

2021 ◽  
Vol 18 (7) ◽  
pp. 3347
Author(s):  
Kun Liu ◽  
Xueyan Yang ◽  
Moye Xin
Keyword(s):  
Social Support ◽  
Influencing Factors ◽  
Empirical Support ◽  
Female Students ◽  
Male Students ◽  
Male And Female ◽  
Self Injury ◽  
Significant Difference ◽  
Main Effect ◽  
Nonsuicidal Self Injury

Repetitive nonsuicidal self-injury (R-NSSI) is an extreme manifestation of nonsuicidal self-injury (NSSI) behavior that causes bodily harm and emotional and personality disorders. It is a growing concern, especially among adolescents; therefore, this study aims to provide empirical support for effective interventions on R-NSSI behavior among adolescents in China. We used data of about 1180 students from a survey conducted in seven middle schools in Xi’an, China, and applied multiple logistic regression to analyze NSSI and R-NSSI among male and female students, including their influencing factors. We found no significant difference between male and female students’ R-NSSI; however, regarding influencing factors, male students had more violent experiences and less social support than female students. Parental and familial factors played the most prominent role in social support. Social support was found to be a main-effect mechanism in the effect of violent experiences on R-NSSI among male students, whereas the mechanism had both a main effect and a certain buffer effect among female students. R-NSSI was found to be more prevalent among younger children, children with siblings, and those with romantic relationship experiences. We also found that healthy adolescent development involves the participation of families and schools. Health education should be conducted according to the students’ sex and characteristics.

scholarly journals Evaluation and Influencing Factors of Industrial Pollution in Jilin Restricted Development Zone: A Spatial Econometric Analysis

2021 ◽  
Vol 13 (8) ◽  
pp. 4194
Author(s):  
Yanhua Guo ◽  
Lianjun Tong ◽  
Lin Mei
Keyword(s):  
Influencing Factors ◽  
Industrial Pollution ◽  
Production Capacity ◽  
Pollution Index ◽  
Green Technology ◽  
Econometric Analysis ◽  
Ecological Civilization ◽  
Entropy Weight ◽  
Spatial Econometric ◽  
Spatial Econometric Analysis

Winning the battle against pollution and strengthening ecological protection in all respects are vital for promoting green development and building a moderately prosperous ecological civilization in China. Using the entropy weight method, this paper establishes and evaluates a comprehensive industrial pollution index that contains and synthesizes six major industrial pollutants (wastewater, COD, waste gas, SO2, NOx, and solid waste) in the 2006–2015 period. Subsequently, this paper studies the spatiotemporal characteristics and influencing factors of industrial pollution via the Moran index and spatial econometric analysis. The empirical results indicate that (1) the temporal evolution of the industrial pollution index is characterized by an overall trend of first decreasing and then increasing. (2) The industrial pollution index of each county has certain geographical disparities and significant spatially polarized characteristics in 2006, 2009, 2012, and 2015. (3) The Moran test shows that there is a relatively significant spatial autocorrelation of the industrial pollution index among counties and that the geographical distribution of the industrial pollution index tends to show clustering. (4) Spatial regression models that incorporate spatial factors better explain the influencing factors of industrial pollution. The economic development level, technological progress, and industrialization are negatively correlated with industrial pollution, while population density and industrial production capacity are positively correlated. (5) Consequently, as relevant policy recommendations, this paper proposes that environmental cooperation linkage mechanisms, environmental protection credit systems, and green technology innovation systems should be established in different geographical locations to achieve the goals of green county construction and sustainable development.

Sign in / Sign up

Export Citation Format

Share Document