scholarly journals Spatiotemporal Evolution and Influencing Factors of China’s Agricultural Environmental Efficiency

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Qian Jia
Keyword(s):  
Economic Growth ◽  
Influencing Factors ◽  
Coastal Region ◽  
Environmental Efficiency ◽  
Eastern Region ◽  
Spatiotemporal Evolution ◽  
Factors Affecting ◽  
Fiscal Expenditure

Taking the 30 Chinese provinces in 2000–2018 as the objects, this paper measures their agricultural environmental efficiencies (AEEs) with slack-based measure (SBM) containing an undesired output. Then, the features of the spatiotemporal evolution of AEE in China were explored on ArcGIS, and the factors affecting the AEE were analyzed with a geodetector. The results show that there is a huge provincial gap in AEE across China; most provinces with a high AEE belong to eastern coastal region, while most inland provinces had a relatively low AEE. Except for a few years, the AEEs in eastern, central, and western regions changed very slightly, and the eastern region had a higher AEE level than central and western regions. The results of spatiotemporal evolution show that, with the elapse of time, the high-AEE provinces gradually shifted to the inland; the AEE trend varied from province to province; the provinces were highly polarized in terms of AEE. The AEE is mainly affected by the following factors: fiscal expenditure, fertilizer intensity, pesticide intensity, and economic growth.

scholarly journals Research on Regional Differences and Influencing Factors of Energy Utilization Efficiency in China

2021 ◽  
Vol 2 (3) ◽  
pp. 65-69
Author(s):  
Yunpeng Wang
Keyword(s):  
Economic Growth ◽  
Energy Efficiency ◽  
Influencing Factors ◽  
Energy Use ◽  
Negative Impact ◽  
Positive Impact ◽  
Energy Utilization ◽  
Western Region ◽  
Eastern Region ◽  
The Western Region

Energy, as one of the important input factors in modern economic growth, plays a decisive role in the economic growth of all countries in the world. Use Moran I index and fixed effect model to measure the degree of spatial correlation and spatial difference between regions and analyze the influencing factors of energy efficiency, The results show that the energy efficiency of various provinces is spatially related, and the spatial distribution tends to be spatially concentrated; the per capita GDP has a significantly greater impact on the energy efficiency of the eastern region than it has on the western region; foreign direct investment (FDL) has an impact on the energy use of the eastern region There is a negative impact on efficiency and a positive impact on the efficiency of energy utilization in the western region; the number of patent grants has a significantly greater effect on the improvement of energy efficiency in the western region than in the eastern region; the increase in the proportion of the secondary industry has a positive impact on the energy use efficiency in the eastern region There is a positive impact and a negative impact on the energy efficiency of the western region.

scholarly journals Influencing Factors of Undergrowth Economic Growth From the Perspective of Linear Analysis

2021 ◽  
Vol 15 ◽  
pp. 1197-1207
Author(s):  
Chao Wang ◽  
Jiehua Lv ◽  
Qiumin Zhao
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Influencing Factors ◽  
Rapid Development ◽  
Multiple Linear Regression Model ◽  
Linear Analysis ◽  
Land Resources ◽  
Forest Land ◽  
Basic Principles ◽  
Factors Affecting

In order to build a comprehensive and systematic management mechanism of forest management, make full use of limited forest land resources, and achieve the goal of sustainable development, this paper summarizes the influencing factors of current undergrowth economic development. Therefore, this paper proposes a linear analysis of the factors affecting the undergrowth economic growth. According to the current situation of economic development under forest, the model structure is designed in the view of linear analysis. In addition, the basic principles involved in the linear analysis are analyzed, and the multiple linear regression model is established to analyze the influencing factors of undergrowth economic growth. The results show that the method is effective and provides technical support for the rapid development of undergrowth economy.

FAKTOR FAKTOR YANG MEMPENGARUHI PRODUK DOMESTIK BRUTO NEGARA-NEGARA ASEAN PERIODE 2005-2014

2017 ◽  
Vol 22 (1) ◽  
pp. 23-29
Author(s):  
Leorista Milliardo
Keyword(s):  
Economic Growth ◽  
Analytical Tool ◽  
Panel Regression ◽  
Estimation Model ◽  
Process Data ◽  
Factors Affecting ◽  
Goods And Services ◽  
Asean Member ◽  
Tourism Sector ◽  
Asean Countries

This study was conducted with the aim of identifying the factors affecting economic growth in ASEAN member countries during the period of 2005 - 2014, with the countries sampled in this study were six countries namely Indonesia, Singapore, Malaysia, Thailand, Philippines, Vietnam, Cambodia and Laos. The method of analysis used is the method of Data Panel Regression and Fixed Efect estimation model by using analytical tool to help process data is Eviews 7 program. While data used is panel data from eight ASEAN countries covering 10 year periods. The result of analysis shows that the acceptance of International Tourism Sector and Foreign Direct Investment has positive and significantinfluenceto the economic growth in eight ASEAN countries while the Labor Force is inconclusive. The study also found that Export of Goods and Services had a negative and significanteffect on economic growth.

scholarly journals Aphid–Plant–Phytovirus Pathosystems: Influencing Factors from Vector Behaviour to Virus Spread

Agriculture ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 502
Author(s):  
Junior Corneille Fingu-Mabola ◽  
Frédéric Francis
Keyword(s):  
Influencing Factors ◽  
Virus Transmission ◽  
Physical Factors ◽  
Factors Affecting ◽  
Vector Borne Diseases ◽  
Vector Behaviour ◽  
Crop Fields ◽  
Host Seeking ◽  
The Impact ◽  
Vector Efficiency

Aphids are responsible for the spread of more than half of the known phytovirus species. Virus transmission within the plant–aphid–phytovirus pathosystem depends on vector mobility which allows the aphid to reach its host plant and on vector efficiency in terms of ability to transmit phytoviruses. However, several other factors can influence the phytoviruses transmission process and have significant epidemiological consequences. In this review, we aimed to analyse the aphid behaviours and influencing factors affecting phytovirus spread. We discussed the impact of vector host-seeking and dispersal behaviours mostly involved in aphid-born phytovirus spread but also the effect of feeding behaviours and life history traits involved in plant–aphid–phytovirus relationships on vector performances. We also noted that these behaviours are influenced by factors inherent to the interactions between pathosystem components (mode of transmission of phytoviruses, vector efficiency, plant resistance, …) and several biological, biochemical, chemical or physical factors related to the environment of these pathosystem components, most of them being manipulated as means to control vector-borne diseases in the crop fields.

scholarly journals The role of serum β-trophin and endostatin in patients with polycystic ovary syndrome: Are they correlated?

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Wei Gong ◽  
Aikmu Bilixzi ◽  
Xinmei Wang ◽  
Yanli Lu ◽  
Li Wan ◽  
...  
Keyword(s):  
Polycystic Ovary Syndrome ◽  
Influencing Factors ◽  
Polycystic Ovary ◽  
Pearson Correlation ◽  
Healthy Controls ◽  
Newly Diagnosed ◽  
Ovary Syndrome ◽  
Factors Affecting ◽  
Main Factors

Abstract Background It’s necessary to investigate the serum β-trophin and endostatin (ES) level and its influencing factors in patients with newly diagnosed polycystic ovary syndrome (PCOS). Methods Newly diagnosed PCOS patients treated in our hospital were selected, and healthy women who took physical examination during the same period as healthy controls. We detected and compared the related serum indicators between two groups, Pearson correlation were conducted to identify the factors associated with β-trophin and ES, and the influencing factors of β-trophin and ES were analyzed by logistic regression. Results A total of 62 PCOS patients and 65 healthy controls were included. The BMI, WHI, LH, FSH, TT, FAI, FBG, FINS, HOMA-IR, TC, TG, LDL, ES in PCOS patients were significantly higher than that of healthy controls, while the SHBG and HDL in PCOS patients were significantly lower than that of healthy controls (all p < 0.05). β-trophin was closely associated with BMI (r = 0.427), WHR (r = 0.504), FBG (r = 0.385), TG (r = 0.405) and LDL (r = 0.302, all p < 0.05), and ES was closely associated with BMI (r = 0.358), WHR (r = 0.421), FBG (r = 0.343), TC (r = 0.319), TG (r = 0.404, all p < 0.05). TG, BMI, WHR and FBG were the main factors affecting the serum β-trophin levels (all p < 0.05). FBG, TC and BMI were the main factors affecting the serum ES levels (all p < 0.05). The TG, β-trophin, ES level in PCOS patients with insulin resistance (IR) were significantly higher than that of those without IR (all p < 0.05). Conclusion Increased β-trophin is closely associated with increased ES in patients with PCOS, which may be the useful indicators for the management of PCOS.

Measuring energy and environmental efficiency interactions towards CO2 emissions reduction without slowing economic growth in central and western Europe

2021 ◽  
Vol 279 ◽  
pp. 111704
Author(s):  
Jijian Zhang ◽  
Ataul Karim Patwary ◽  
Huaping Sun ◽  
Muhammad Raza ◽  
Farhad Taghizadeh-Hesary ◽  
...  
Keyword(s):  
Economic Growth ◽  
Co2 Emissions ◽  
Western Europe ◽  
Environmental Efficiency ◽  
Emissions Reduction

scholarly journals Investigating the effects of environmental patents and climate change mitigation technologies on sustainable economic growth in the Middle East

2021 ◽  
Author(s):  
Sadegh Abedi ◽  
Mehrnaz Moeenian
Keyword(s):  
Climate Change ◽  
Economic Growth ◽  
Middle East ◽  
Climate Change Mitigation ◽  
Developed Countries ◽  
Factors Affecting ◽  
Middle East Countries ◽  
Sustainable Economic Growth ◽  
Change Mitigation

Abstract Sustainable economic growth and identifying factors affecting it are among the important issues which have always received attention from researchers of different countries. Accordingly, one of the factors affecting economic growth, which has received attention from researchers in the developed countries over recent years, is the issue of environmental technologies that enter the economic cycle of other countries after being patented through technology transfer. The current research investigated the role of the environment-related patents and the effects of the patented technological innovations compatible with climate change mitigation on the economic growth and development in the Middle East countries within a specific time period. The required data were gathered from the valid global databases, including Organization for Economic Co-operation and Development and World Bank and have been analyzed using multi-linear regression methods and econometric models with Eviews 10 software. The obtained results with 95% confidence level show that the environmental patents (β = 0.02) and environment management (β = 0.04) and technologies related to the climate change mitigation (β = 0.02) have a significant positive impact on the sustainable economic development and growth rate in the studied countries. Such a study helps innovators and policymakers in policy decisions related to sustainable development programs from the perspective of environmentally friendly technologies by demonstrating the role of patents in three important environmental areas, namely environmental management, water-related adaptation and climate change mitigation, as one of the factors influencing sustainable economic growth.

scholarly journals Grey Relational Grade Based Quantitative Analysis of the Factors Influencing the Load Characteristics of A Power Grid

2018 ◽  
Vol 53 ◽  
pp. 01012 ◽  
Author(s):  
Wei Pan ◽  
Caijia Lei ◽  
Wei Jia ◽  
Hui Gao ◽  
Binghua Fang
Keyword(s):  
Quantitative Analysis ◽  
Influencing Factors ◽  
Power Grid ◽  
Grey System Theory ◽  
Grey System ◽  
Factors Affecting ◽  
Grey Relational Grade ◽  
Load Characteristics ◽  
Grey Relational ◽  
Main Factor

Regarding analysis of load characteristics of a power grid, there are multiple factors that influence the variation of load characteristics. Among these factors, the influence of different ones on the change of load characteristic is somewhat different, thus the degree of influence of various factors needs to be quantified to distinguish the main and minor factors of load characteristics. Based on this, the grey relational analysis in the grey system theory is employed as the basis of mathematical model in this paper. Firstly, the main factors affecting the load characteristics of a power grid are analysed. Then, the principle of quantitative analysis of the influencing factors by using grey relational grade is introduced. Lastly, the load of Guangzhou power grid is selected as the research object, thereby the main factor of temperature affecting the load characteristics is quantitatively analysed, such that the correlation between temperature and load is established. In this paper, by investigating the influencing factors and the degree of influence of load characteristics, the law of load characteristics changes can be effectively revealed, which is of great significance for power system planning and dispatching operation.

Investigation on Polymer Adsorption and Retention in a Polymer Flooded Reservoir

2013 ◽  
Vol 734-737 ◽  
pp. 1200-1203
Author(s):  
Shu Qiang Liu ◽  
Ji Cheng Zhang ◽  
Jin Cheng Xu
Keyword(s):  
Polymer Solution ◽  
Influencing Factors ◽  
Polymer Adsorption ◽  
Solution Concentration ◽  
Injection Rate ◽  
The Other ◽  
Injection Time ◽  
Factors Affecting ◽  
Dynamic Factors ◽  
Polymer Retention

During polymer flooding, certain amount of polymer would be lost. Polymer retention causes sweep volume expanding on one side, it also causes polymer loss on the other. Therefore, it is a very important topic to study the influencing factors of polymer retention. There are many factors affecting polymer retention process. This paper mainly studied the influence from dynamic factors such as polymer solution concentration, injection rate, injection time, injected pv number. This paper investigated the influence of these factors on polymer retention process, and optimized these factors to minimize polymer loss in reservoir.

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