Dynamic analysis of agricultural green development efficiency in China: Spatiotemporal evolution and influencing factors

Green development of agriculture is important for achieving coordinated and high-quality regional development for China. Using provincial data from 1990 to 2020, this work explored the dynamics of agricultural green development efficiency of 31 provinces in China, its spatiotemporal characteristics, and its driving factors using a super-efficiency slacks-based measure(Super-SBM), the Malmquist productivity index(MPI), spatial autocorrelation, and a geographic detector. Results showed that the overall agricultural green development efficiency showed a U-shaped trend, suggesting a low level of efficiency. Although a gradient difference was visible among eastern, central, and western regions, the efficiency gap narrowed each year. Technological progress and efficiency both promoted agricultural green development efficiency, especially technological progress. Agricultural green development efficiency had significant spatial aggregation characteristics, but Moran’s Ⅰ result showed a downward trend from 2015 to 2020, indicating a risk of spatial dispersion in the later stage. The provinces with high agricultural green development efficiency were mainly concentrated in the eastern region, while those with low efficiency were concentrated in the central and western regions. Agricultural green development efficiency was influenced by various factors, which showed differences according to time and region. The impact of the labor force’s education level and technological progress increased during the study period, and significantly facilitated agricultural green development efficiency in the eastern region, while the central and western regions were still affected by the scale level and environmental regulation, reflecting the advantages of the eastern region in terms of economy and technology. In the future, strengthening agricultural scientific and technological innovation and deepening interprovincial cooperation can help further improve the level of green agricultural development. In addition, local governments should formulate more precise local agricultural support policies based on macro-level policies and local conditions.

Structural characteristics and influencing factors of spatial correlation network for regional high-quality development in China

On the basis of measuring the regional high-quality development in China from 2011 to 2020,this study uses gravity model to build spatial correlation network,and uses social network analysis method to analyze the structural characteristics and influencing factors of correlation network.The results are shown as follows.First,from 2011 to 2020,the level of regional high-quality development in China is rising gradually,and the discrete characteristics between regions are gradually obvious,showing a step-like distribution structure decreasing from east to west.Second,the network density of regional high-quality development is generally low and tends to decline,but it has strong stability and correlation strength.Third,the spatial correlation network has an obvious core-edge structure.Shanghai is always at the center of the network and plays a significant intermediary role,while Qinghai and Xinjiang are always at the edge of the network.Fourth,the regional high-quality development association network can be divided into four major sectors:main benefit,net benefit,net spillover,and broker,showing the spatial correlation characteristics of inter-plate contact and intra-plate agglomeration.Fifth,the level of economic development,the level of urbanization and geographical proximity have a significant impact on the formation of regional high-quality development correlation network.

Research Advance on Influencing Factors of Crop Water Use Efficiency

The research advance on the influencing factors of crop water use effi-ciency （WUE） was reviewed in this paper. Based on the discussion on the conno-tation of crop WUE, the influencing factors of crop WUE, such as crop, environ-ment, chemicals, cultivation measures, cropping systems, etc, were elaborated. A-mong them, the species and varieties of crop, soil and chemicals were discussed in detail.

Spatial-temporal Characteristics of Green Development Efficiency and Influencing Factors in Restricted Development Zones:A Case Study of Jilin Province,China

Green development is an important issue of sustainable development in China.Due to the relatively backward economy and the fragile ecological environment,restricted development zones need to embrace green development.Taking 38 counties in Jilin Province as the empirical research objects,and based on cross-sectional data for each county in 2005,2010,and 2015,we accurately depicted the spatiotemporal evolutionary characteristics of green development efficiency(GDE)in restricted development zones of Jilin Province using the slacks-based measure-data envelope analysis(SBM-DEA)model.Moreover,the factors that influence GDE were further analyzed using the Tobit model.We found that:first,GDE showed a V-shaped trend in restricted development zones of Jilin Province.The differences in GDE in the eastern,central,and western Jilin Province increased gradually.Second,76%of counties in the restricted development zones had high or higher efficiencies.The resource-based cities were the main areas with low or lower GDE.Third,the economic development level was the core factor affecting GDE.Urbanization level had a significant negative effect on GDE in the restricted development zones.The effect of technological innovation level on GDE fluctuated,and we found that a‘backward mechanism’of technological innovation was beginning to form.Industrial structure and environmental governance had no significant effects on GDE.

Research on Regional Land Use Structure Change and Influencing Factors——A Case Study of Yining City in Xinjiang

This paper analyzes the land use status and land use structure change in 1995-2004 in Yining City, revealing that the agricultural land area has decreased rapidly, and construction land has increased dramatically. Moreover, this paper inves- tigates the relation of economy, urbanization, location, land system policy with land use structure, and puts forward rationalization proposal for optimization of land use structure, to provide reference for land use measurements in the future.

Assessment of Industrial Land Use Intensity: A Case Study of Beijing Economic-technological Development Area

In recent years, great economic output of land has been achieved in economic-technological development areas in China, but the intensity of land use in some of these areas is very low. The degree of the low intensity of land use needs to be evaluated. The current method of comprehensive evaluation and grading by one index system has the limitations due to the existence of differences between regions and industries. This paper evaluates industrial land use intensity by Total Factor Productivity (TFP) analysis, which not only measures the intensity but also illustrates the ef-ficiency of input factors. This method is applied to the Beijing Economic-technological Development Area (BDA). A comparison analysis on factor use efficiency and input structure of capital and labor between industries is also carried out in the absence of a labor-income ratio.

Spatio-temporal evolution of ecologically-sustainable land use in China's Loess Plateau and detection of its influencing factors

Ecological land(Eco-land) is a basic resource for human beings to survive, and eco-land use is a strategy, a way to manage the land resource. So, ecologically-sustainable land use is essential for human beings to survive. This paper investigates the spatiotemporal characteristics and mechanisms of urban-rural eco-land using a new and innovative integration way based on eco-land change data in China's Loess Plateau(LP) prefecture level cities and explores factors of eco-land change. The spatial difference characteristic of eco-land among different level cities in the LP is that: small cities > big cities > middle cities. From 2009 to 2016, the eco-land in the LP from the perspective of urban-rural areas has changed significantly. Significant differences of urban-rural eco-land were identified among various urban growth types, and all the cities in the LP were further classified into four types based on eco-land change trend, with type A and B cities identified as the vital zone and major zone. Taking the eco-fragile region Loess Plateau(LP) as an example, our results demonstrated that the migrants to cities in LP could relieve ecological pressures and promote restoration of ecological vegetation. We have demonstrated that urbanization and the influence of government policy can be discerned through the quantification of the spatial-temporal change of eco-land and suggest that combining both urban and rural eco-land can support more effective land use decisions and provide theoretical basis for the practical application of urban planning, policy-making and sustainable development. What's more, governments should strive to population mobility and restore vegetation to sustain this fragile ecological environment.

Spatiotemporal mismatch of land use functions and land use efficiencies and their influencing factors:A case study in the Middle Reaches of the Yangtze River,China

Identification of the spatial mismatch between land use functions(LUFs)and land use efficiencies(LUEs)is essential to regional land use policies.However,previous studies about LUF-LUE mismatch and its driving factors have been insufficient.In this study,we explored the spatiotemporal mismatch of LUFs and LUEs and their influencing factors from 2000 to 2018 in the Middle Reaches of the Yangtze River(MRYR).Specifically,we used Spearman correlation analysis to reveal the trade-off relationship between LUFs and LUEs and determine the direction of the influencing factors on the LUF-LUE mismatch,adopted spatial mismatch analysis to measure the imbalance between LUFs and LUEs,and used the geographical detector model to analyze the factors influencing this spatial mismatch.The results showed that production function(PDF),living function(LVF),ecological function(ELF),agricultural production efficiency(APE),urban construction efficiency(UCE),and ecological services efficiency(ESE)all displayed significant spatial heterogeneity.The high trade-off areas were widely distributed and long-lasting in agricultural space and urban space,while gradually decreasing in ecological space.Wuhan and Changsha showed high spatial mismatch coefficients in urban space,but low spatial mismatch coefficients in agricultural space.Hunan generally presented high spatial mismatch coefficients in ecological space.Furthermore,the interaction of the proportion of cultivated area and transportation accessibility exacerbated the mismatch in agricultural space.The interaction effects of capital investment and technology innovation with other factors have the most intense impact on the mismatch in urban space.The internal factor for cultivated area interacts with other external factors to drastically affect ecological spatial mismatch.

Influencing Factors and Improvement Suggestions for Agricultural Green Development Performance:Empirical Insights from China

Agricultural green development is an essential direction for global sustainable agriculture.The academic literature,however,needs to place greater emphasis on studying the factors influencing agricultural green development performance and how such performance can be improved.A theoretical framework for agricultural green development performance was constructed in this paper using the Super-SBM model,which considers undesirable outputs,to measure the agricultural green development performance of 330 cities at or above the prefecture level in China(excluding Tibet Autonomous Region,Hong Kong,Macao and Taiwan of China)from 2007 to2018.Furthermore,the influencing mechanism of agricultural green development performance was then analyzed using a spatial econometric model.The results show that:1)from 2007 to 2018,China’s agricultural green development performance experienced three stages of evolution:‘rise,decline and rise’.2)The regions with high performance agricultural green development are mainly distributed in eastern China,northeastern China,and southern Qinghai Province.3)The agricultural economic level,industrialization process,and labor quality play significant roles in promoting local agricultural green development performance,while such performance is obviously inhibited by the openness level and the government’s environmental regulations.Local agricultural green development performance is significant inhibited by the agricultural economic level and accelerated industrialization process in neighboring cities,while significantly promoted by the agricultural industrial structure in neighboring cities.Some suggestions for improving agricultural green development performance are proposed based on these research results,which can provide scientific references for promoting sustainable agriculture.

A Probe into the High-Quality Development Path of China’s Financial Industry

Under the new economic normal,the financial industry plays an important role in the high-quality development of the national economy,which is conducive to promoting the development of a socialist market economy with Chinese characteristics,improving the financial system,laying a good foundation for the“Internet+”economic development,and promoting the stability and prosperity of the market economy.China’s financial industry should be based on the new economic normal,strengthen the risk control of the financial industry,and ensure the stability of the financial market;Further improve the inclusive finance business,alleviate the capital problems of small and medium-sized enterprises,and activate the vitality of the financial industry;Promote fintech innovation,adapt to market changes and technological progress of The Times,and improve the comprehensive competitiveness of China’s financial industry;Improve the financial supervision system,strengthen the supervision of the financial industry,standardize the development of the financial industry,and promote the high-quality development of the financial industry.

Factors Influencing the Use of Outcome Measures for Patients with Low Back Pain: A Survey of Nigerian Physiotherapists

Background: Low back pain is one of the important patients’ presenting complain that requires expert management from the physiotherapists. Yet no work was available for reference on the use of outcome measures for its evaluation by Nigeria physiotherapists. Objective: This study, therefore, investigated the outcome measures used by Nigerian physiotherapists to evaluate patients with Low Back Pain and the factors that influenced their use. Methods: A survey questionnaire was posted to 306 randomly selected mem- bers of the Nigeria Society of Physiotherapy (NSP). Data were analyzed using frequency, percentages, mean, ANOVA, and Pearson’s Chi-square. P-value was placed at 0.05. Results: 52.9% of the respondents (221) used a pain visual analog scale. Only 36.1% used LBP-specific clinical outcome measures. The factors that influenced their use were belief, attitude, knowledge, and choice. There was no significant difference between the majority of the factors and the use of clinical outcome measures. The P-values were 0.960, 0.648, 0.760 for belief, attitude and knowledge respectively. The only factor that had a significant difference (P = 0.029) with the use of clinical outcome measures was choice. Gender and postgraduate qualification had no significant influ- ence on the use of clinical outcome measures at the P-value of 0.117 and 0.510 respectively. Conclusion: Pain visual analog scale is the outcome measure frequently used by Nigeria Physiotherapists to evaluate patients with Low Back Pain. Belief, attitude, knowledge, and choice are the factors that influ- enced the use. There is a need to incorporate the use of LBP-specific outcome measures by Nigerian physiotherapists while treating patients with LBP.

Influence Factors of Urban Sustainable Development of Xinjiang Uyghur Autonomous Region——with a Case of Urumqi

Urban sustainable development is under influence of social, economic and environmental factors. Xinjiang is in a new cross-domain development stage, and the research on urban sustainable development in Xinjiang wil be an important contribu-tion to sustainable development in western China. In this paper, with the district of Urumqi city as the study area, environmental indicators in 2011 economic society were col ected to establish an index system of factors affecting the sustainable de-velopment, and to make analysis and comprehensive evaluation on the influence factors, proposing suggestions and countermeasures of sustainable development in districts or counties in Urumqi County as per quantitative and qualitative analysis methods.

Spatial Heterogeneity and Influencing Factors of HFRS Epidemics in Rural and Urban Areas:A Study in Guanzhong Plain of Shaanxi Province,China

Objective The Guanzhong Plain of Shaanxi Province is a severely afflicted hemorrhagic fever with renal syndrome(HFRS)epidemic area,while HFRS prevalence has decreased in most epidemic areas in China.Little information is available regarding the leading fine-scale influencing factors in this highly HFRSconcentrated area and the roles of natural environmental and socioeconomic factors.To investigate this,two regions in the Guanzhong Plain,that is,the Chang’an District and Hu County,with similar geographical environments,different levels of economic development,and high epidemic prevalence,were chosen as representative areas of the HFRS epidemic.Methods Maximum entropy models were constructed based on HFRS cases and fine-scale influencing factors,including meteorological,natural environmental,and socioeconomic factors,from 2014 to 2016.Results More than 95% of the HFRS cases in the study area were located in the northern plains,which has an altitude of less than 800 m,with topography contributed 84.1% of the impact on the spatial differentiation of the HFRS epidemic.In the northern plains,precipitation and population density jointly affected the spatial differentiation of the HFRS epidemic,with contribution rates of 60.7% and 28.0%,respectively.By comparing the influencing factors of the northern plains of Chang’an District and Hu County,we found that precipitation and the normalized difference vegetation index(NDVI)dominated the HFRS epidemic in the relatively developed Chang’an District,while land-use type,temperature,precipitation and population density dominated the HFRS epidemic in the relatively undeveloped Hu County.Conclusion Topography was the primary key factor for HFRS prevalence in the Chang’an District and Hu County,and the spatial differentiation of HFRS was dominated by precipitation and population density in the northern plains.Compared with the influencing factors of the relatively developed Chang’an District,the developing Hu County was more affected by socioeconomic factors.When formulating targeted HFRS epidemic prevention and control strategies in the targeted areas,it is crucial to consider the local economic development state and combine natural environmental factors,including the meteorological environment and vegetation coverage.

Theoretical and Empirical Analysis on Influence Factors of Modern Agricultural Equipment Level in the Processof Agricultural Sustainable Development

To promote modem agricultural equipment level is one characteristic of constructing and developing modem agriculture in China. This paper makes up stepwise linear regression analysis model of influence factors of modem agricultural equipment level, and chooses rural labor, per capita income of rural residents, rural investment, proportion of people at secondary education level and at higher level in per hundred rural labor force and arable land area as independent variables, and total power of machine as induced variable. The major results show that the relativity of modem ag- ricultural equipment level, rural investment and education level of peasants is remarkable, and they are the major influence factors of modem agricultural equipment level. Raising investment level of rural infrastructure construction as well as and research and devel- opment and promotion of advanced and applicable modem agricultural equipment, improving quality and education level of peasants can accelerate the development of China＇s modern agricultural equipment effectively in the process of agricultural sustainable development.

An Experimental Study on the Wave-Induced Pore Water Pressure Change and Relative Influencing Factors in the Silty Seabed

In this study, a flume experiment was designed to investigate the characteristics of wave-induced pore water pressure in the soil of a silty seabed with different clay contents, soil layer buried depths and wave heights respectively. The study showed that water waves propagating over silty seabed can induce significant change of pore water pressure, and the amplitude of pore pressure depends on depth of buried soil layer, clay content and wave height, which are considered as the three influencing factors for pore water pressure change. The pressure will attenuate according to exponential law with increase of soil layer buried depth, and the attenuation being more rapid in those soil layers with higher clay content and greater wave height. The pore pressure in silty seabed increases rapidly in the initial stage of wave action, then decreases gradually to a stable value, depending on the depth of buried soil layer, clay content and wave height. The peak value of pore pressure will increase if clay content or depth of buried soil layer decreases, or wave height increases. The analysis indicated that these soils with 5% clay content and waves with higher wave height produce instability in bed easier, and that the wave energy is mostly dissipated near the surface of soils and 5% clay content in soils can prevent pore pressure from dissipating immediately.

Measurement and analysis of biogas fertilizer use efficiency, nutrient distribution and influencing factors of biogas residues and slurry on pig farms

Although the effects of biogas residues and slurry returning to farmland are good,they still cannot be used widely in China.In this study,the biogas fertilizer use efficiency,nutrient distribution and influencing factors of fertilizer use efficiency of biogas residues and slurry in 20 biogas projects in Chongming County,Shanghai,China were measured and analyzed.The correlation and a linear regression fit of parts of test indicators were also analyzed.The results show that pig farm biogas residues and slurry mixture are nutrient-rich and can be used as a high-quality organic fertilizer,while its fertilizer use efficiency is unstable because of the differences among area,raw materials,fermentation technology and operation management.Nutrients are not evenly distributed in biogas residues and slurry.Higher levels of organic matters,P and trace elements were detected in biogas residues and higher levels of water-soluble N and K were detected in biogas slurry.The correlations between some test indicators of biogas residues and slurry mixture are significant,especially between total K and conductivity.Linear regression model fitting results of parts of test indicators are satisfactory.Hence,the values of the other test indicators can be estimated by one known indicator which can effectively reduce the determination workload under some limited situations.

The Influencing Factors of sCER Price Dynamics Under the Clean Development Mechanism: Theory and Econometric Analysis

In order to explore the factors and their complex mechanism affecting the price dynamics under the clean development mechanism （CDM）, this article employs the secondary Certified Emission Reduction （sCER） carbon price as the study object, and analyzes its influencing factors from aspects of the international carbon-reduction policies, macroeconomic fluctuations, energy and similar carbon products prices. The innovation of this paper lies in： Introducing necessary factor （the developing countries pricing power） and the application of several international representative indicators to un- derline the ＂world＂ nature of CDM; utilizing different econometric models to obtain noteworthy and more robust results. The authors test the theoretical findings with multiple stationary time series from the launch of CDM to present （2008-2016）. The results reveal that sCER price fluctuation shows the characteristic of asymmetry and substantial persistence. There is a strong statistically significant relationship between macroeconomic conditions, coal and oil prices, with the price of sCER. The authors discover that the pricing power of developing countries indeed has a clear but small impact on the sCER price changes, whereas the price elasticity of supply under CDM is so weak. The interaction between EU emission allowances （EUAs） and sCER presents a shift from dependency to substitution.

Factors Associated with Substance Use Disorder among Adolescents Age Group: An Integrative Review

Aim: Reviewing the existed literature that addresses the factors influencing adolescent’s substance use disorder. Background: Substance use disorder among adolescents considered a major problem worldwide that affects adolescents wellbeing and destroys their functionality socially, physically and psychologically. Data Sources: A review of relevant literature uses electronic databases including EBSCO, MEDLINE, CINAHL, and PubMed. Methods: Using an integrative method, peer-reviewed research and discussion papers published between 2011 and 2019 and listed in the CINAHL, SCOPUS, Science Direct, PubMed and Google Scholar databases were reviewed. Findings: A final review of 9 studies that used quantitative and qualitative research methods to study many factors was related to the substance use disorder. Themes were: Influence of psychological factors on adolescents. Influence of socio-cultural factors on adolescents, the influence of biological factors on adolescents and the influence of environmental factors on adolescents. Conclusions: Reviewed articles revealed that many psychological, biological, socio-cultural, and environmental factors that increase adolescents risk having substance use disorder. For example, stressful life events during adolescents like loss of someone increase the risk to take illicit substances in order to forget painful memory;personal tendency like curiosity and experimentation, increase the risk to have risk health behaviors like substance use disorder. Furthermore, adolescence is a critical period that youth need more supervision and health education to protect them from Substance use disorder.

An Interview-Based Study of the Factors Influencing the Quality of Professional Training of Science Education Graduates

The proposal of the strategy of developing the country through science education has clarified China’s demand for the development of the science and education industry and the cultivation of science and education talents,and the birth of Science Education majors is an important link in the cultivation of scientific literacy.Based on the grounded theory,we interviewed three Science Education graduates from a university and coded the interview data by using NVivo 12.0 to find eight important factors affecting their professional training and employment choices.The factors are“social factors,”“individual career choice factors,”“campus resources,”“employment advantages,”“professional self-development,”“teacher factors,”“planning for further education and employment,”and“student motivation.”This study analyzes the interaction between the influencing factors,constructs a theoretical model of the influencing factors of the quality of Science Education professional training,explores the problems of the training process of Science Education majors and employment dilemmas,and puts forward corresponding suggestions.