Agricultural Non-point Source Pollution in China:Evaluation,Convergence Characteristics and Spatial Effects

In this study,an inventory analysis approach was used to investigate the intensity of agricultural non-point source pollution(ANSP)and its spatial convergence at national and provincial levels in China from 1999 to 2017.On this basis,spatial factors affecting ANSP were explored by constructing a spatial econometric model.The results indicate that:1)The intensity of China's ANSP emission showed an overall upward trend and an obvious spatial difference,with the values being high in the eastern and central regions and relatively low in the western region.2)Significant spatial agglomeration was shown in China's ANSP intensity,and the agglomeration effect was increasing gradually.3)In the convergence analysis,a spatial lag model was found applicable for interpretation of the ANSP intensity,with the convergence rate being accelerated after considering the spatial factors but slower than that of regional economic growth.4)The spatial factors affecting the ANSP intensity are shown to be reduced by improving agricultural infrastructure investment,labor-force quality,and crop production ratio,while the expansion of agricultural economy scale and precipitation and runoff have positive impact on ANSP in the study region.However,agricultural research and development(R&D)investment showed no direct significant effect on the ANSP intensity.Meanwhile,improving the quality of the labor force would significantly reduce the ANSP intensity in the surrounding areas,while the precipitation and runoff would significantly increase the pollution of neighboring regions.This research has laid a theoretical basis for formulation and optimization of ANSP prevention strategies in China and related regions.

Measurement of Rural Inclusive Financial Development and Analysis of Spatial Effects on Anti-poverty

Based on two dimensions of supply and demand,we use six indicators to establish a rural inclusive financial development index and evaluate the development of China's rural inclusive finance. We use spatial panel data model to examine the relationship between financial inclusion and rural poverty. Results show that:( i) both the rural inclusive finance and rural residents' per capita consumption present spatial clustering feature and show significant spatial correlation;( ii) the development of rural inclusive finance has significant spatial effect on poverty alleviation along time and space dimensions. In this study,the paper puts forward policy recommendations on strengthening the rural financial resources flow and constructing diversified rural inclusive financial system.

The measurement of the spatial effects of Chinese regional carbon emissions caused by exports

Based on the multi-regional input-output analysis, this paper improves the four traditional input-output formulas about exports resulting in multi-regional carbon emissions spatial effects which include direct effect, indirect effect, spillover effect and feedback effect. And the latter two formulas are to measure the bidirectional influences of carbon emissions induced by regional exports between two regions. The results suggest that the direct effects of Chinese eight regions induced by national exports decreased from 1997 to 2010, and the indirect effects induced by national exports also decreased except the northern coastal region and the northwestern region in China. During this period, most of Chinese coastal regions had strong spillover effects induced by their own exports. The northern coastal region and the eastern coastal region had stronger feedback effects, while the southern coastal region had weaker feedback effects and Beijing-Tianjin region had the weakest feedback effect induced by their exports. All of the inland regions had strong feedback effects, especially for Northwest and Central China, induced by their exports. More attention should be paid to the inter-regional joint efforts in order to effectively achieve Chinese national carbon-reduction target.

The Spatial and Electronic Effects of Substituent Groups on the Thermal Curing of Bio-Based Benzoxazines

To explore the influence of substituent groups on thermally induced curing,eight new bio-based benzoxazines containing different substituent groups with different electron negativity and volumes were synthesized.The thermal curing of these bio-based benzoxazines was studied in detail.Combined with the curing reaction kinetics,simulation and calculation of Highest Occupied Molecular and Lowest Unoccupied Molecular values,the spatial and electronic effects of different substituent groups on the curing of benzoxazine was explored.It was found that when the substituent was located at the position directly connected to the N atom,the steric hindrance effect of the group was dominant.When the substituent group was located on the benzene ring connected to the O atom,both the electronic effect and the spatial effect influenced the curing of benzoxazine.When an electron-withdrawing group was connected ortho position to the O atom,the curing reaction was promoted due to the decreased electron cloud density of O-on the oxazine ring,making the C-O bond easier to break.When an electron-donating group was connected to the meta position of the O atom it also promoted the curing reaction,possibly because it increased the electron cloud density of the+CH2 reaction site and thereby facilitated electrophilic substitution via attack of+CH2 on the cross linking reaction centre.This work provides a deeper understanding of how spatial and electronic effects of substituents affect the curing of benzoxazine.

Energy consumption,air quality,and air pollution spatial spillover effects:evidence from the Yangtze River Delta of China

Based on analysis of the theoretical impact of energy consumption on air quality,taking 20 heavily polluted cities in the Yangtze River Delta of China as the object,we construct a Spatial Dubin Model,and estimate the effect of energy consumption on air quality and the spatial spillover effects of air pollution.We come to the following conclusions:First,the regional air quality has significant spatial dependence and spatial heterogeneity.Second,under three kinds of spatial associated mode,energy consumption has a negative impact on air quality,and the air pollution arising from energy consumption has a negative intra-regional spillover effect.The effect is strongest under the spatial distance weight matrix,followed by the economic distance,and the adjacent spatial weight matrix,which are−0.7926,−0.4547,and−0.4539,respectively.Third,in addition,under the adjacent space and economic distance space matrix,energy consumption has a significant negative effect on air quality,and the inter-regional spillover effects are−0.1513 and−2.5736,respectively.Meanwhile,considering spatial distance and economic development,the inter-regional spillover effect is much larger than is the intra-regional spillover effect.In general,the total spillover effect is at−0.6053 and−3.0284.

Seasonal and Spatial Variation of Radiative Effects of Anthropogenic Sulfate Aerosol

On the basis of the emission data of the industrial sulphur dioxide (SO_2) and observed climate fields over East Asia, the distribution of anthropogenic sulfate aerosol(SO_4~2-) with seasonal variation in the troposphere is simulated and analyzed by a regional sulfur transport model, and the direct radiative effects of SO_4~2- under different weather conditions are also calculated using the discrete ordinate method. The results show that the concentration of SO_4~2- has significant seasonal and spatial variations resulting from the effects of SO_2 emission source and precipitation and wind fields. Both the concentration of SO_2 and its radiative forcing have the largest values in October and the lowest in July. SO_4~2- causes the decrease of the radiation flux absorbed by earth-atmosphere and the cooling of air temperature by scattering more solar radiation back into space. Besides, the radiative and climatic effects of SO_4~2- are related to the types and height and optical thickness, etc., of the clouds.

Low-carbon technology innovation responding to climate change from the perspective of spatial spillover effects

China's technological efforts to tackle climate change have lasted for many years. It is necessary to test the effect of these efforts with quantitative method. To be exact, whether and how China's low-carbon technology innovation responds to climate change should be tested. Based on the2004-2015 panel data of 30 provinces in China, we use the method of ESDA analyzing the spatial correlation of China's low-carbon innovation technology. Furthermore, we use the spatial Durbin model empirically analyzing the spatial spillover effects. The results obtained are as follows: first,supply and demand of Chinese low-carbon innovation has some deviation in the spatial distribution. The low-carbon technology innovation as the supply factor shows the characteristics of expanding from the east to the west. Innovation in eastern China has always been the most active, but innovative activities in the middle and western China are gradually decreased.However, carbon emissions have the characteristics of moving westward, implying the change of technology demand different from technology supply. Second, China's low-carbon innovation actively responds to the trend of climate change, indicating China's technological efforts have paid off. However, the spatial spillover effects are not significant, showing that the efforts in each region of China still work for himself. Third, environmental regulation and market pull are important factors for low-carbon technology innovation. Among them, both supporting policy and inhibitory policy have significant impact on the local low-carbon technology innovation, but no significant spatial spillover effects. It shows that environmental policies in different regions are competitive and lack of demonstration effects. Economic growth and export as market pull have higher level of effect on low-carbon technology innovation for both local and adjacent areas.Some policy implications are proposed based on these results finally.

Does the digital economy contribute to carbon emissions reduction?A city-level spatial analysis in China

The rapid development of the digital economy provides an unprecedented opportunity for China to achieve carbon neutrality by 2060.While previous studies have explored the relationship between the digital economy,digital technologies,and energy,the impact of the digital economy on carbon emissions has not received sufficient attention in the literature.Meanwhile,although cities are the basic units for carbon emission reduction policies,few studies have explored carbon emissions at the city level in China.This study investigates the spatial correlation and spillover effects of the digital economy development on carbon emission reduction in 248 prefecture-level cities in China from 2011 to 2019.The proposed approach relies on Moran’s I test and the spatial Durbin model(SDM).First,the study’s results show that carbon emissions are more severe in industry-intensive cities in northeast and central China than in the eastern coast during the sample period.Second,the development of the digital economy is conducive to reducing carbon emissions.Third,Moran’s I and SDM tests find that the digital economy has a significant spatial effect on carbon emissions,with a close spatial connection between cities.Based on the above findings,this study offers relevant policy recommendations and suggestions for realizing China's carbon neutrality goal.

Comparative Analysis of Energy Characteristics of Two Southwest Vortices in Sichuan Under Similar Circulation Backgrounds

Based on ERA5 reanalysis data,the present study analyzed the thermal energy development mechanism and kinetic energy conversion characteristics of two extreme rainstorm processes in relation to the shallow southwest vortex in the warm-sector during a“rain-generated vortex”process and the deep southwest vortex in a“vortex-generated rain”process.The findings were as follows:(1)During the extreme rainstorm on August 11,2020(hereinafter referred to as the“8·11”process),intense surface heating and a high-energy unstable environment were observed.The mesoscale convergence system triggered convection to produce heavy rainfall,and the release of latent condensation heat generated by the rainfall promoted the formation of a southwest vortex.The significant increase(decrease)in atmospheric diabatic heating and kinetic energy preceded the increase(decrease)in vorticity.By contrast,the extreme rainstorm on August 16,2020(hereinafter referred to as the“8·16”process)involved the generation of southwest vortex in a low-energy and highhumidity environment.The dynamic uplift of the southwest vortex triggered rainfall,and the release of condensation latent heat from rainfall further strengthened the development of the southwest vortex.The significant increase(decrease)in atmospheric diabatic heating and kinetic energy exhibited a delayed progression compared to the increase(decrease)in vorticity.(2)The heating effect around the southwest vortex region was non-uniform,and the heating intensity varied in different stages.In the“8·11”process,the heating effect was the strongest in the initial stage,but weakened during the vortex's development.On the contrary,the heating effect was initially weak in the“8·16”process,and intensified during the development stage.(3)The available potential energy of the“8·11”process significantly increased in kinetic energy converted from rotational and divergent winds through baroclinic action,and the divergent wind energy continued to convert into rotational wind energy.By contrast,the“8·16”process involved the conversion of rotational wind energy into divergent wind energy,which in turn converted kinetic energy back into available potential energy,thereby impeding the further development and maintenance of the southwest vortex.

A Spatial Econometric Approach to Studying Regional Air Pollution in China

Using spatial econometric method,this paper investigates the mutual influence of air pollution among 31 Chinese provincial regions,together with the effects of energy mix and economic variations.Global spatial autocorrelation analysis reveals that significant positive spatial correlation exists for air pollution;Local spatial autocorrelation analysis indicates that pollution aggregation hot spots are concentrated in Beijing-Tianjin-Hebei region,the Yangtze River Delta and part of the central region between these two economic growth poles.This paper believes that industrial relocation is a major reason behind such distribution of air pollution in China as it has deepened the spatial correlation between interregional economy and pollution,which will further give rise to the spatial spillover effect of pollution.With the creation of the regression model of spatial and Environmental Kuznets Curve,the authors discovered that the level of pollution is closely related to energy mix and industrial structure.In addition,the inverted U-shape relationship between air pollution and economic development as demonstrated by previous studies does not exist or is yet to appear in China,where continuous growth of per capita GDP is accompanied by an increasing level of pollution.According to empirical analysis,the improvement of environmental quality at the expense of industrial relocation to neighboring regions is temporary.Due to the existence of spillover effect of pollution,regions that have enforced tighter environmental regulation such as Beijing and Tianjin are unable to acquire all benefits from such regulation.Treatment of air pollution necessitates interregional joint prevention and control.In the long run,adjusting energy mix and optimizing industrial structure are the key to fighting air pollution.But in the short run,reducing the consumption of inferior coal is the most effective option for China,which has seen multiple-fold increase in imports of inferior coal each year.

Spatial Effect of Environmental Regulation on Carbon Emissions

Based on Chinese provincial panel data from 2003 to 2014,the spatial dependence between the environment regulation and carbon emissions is tested by spatial autocorrelation analysis. Besides,spatial lag model and spatial error model are built to empirically test the marginal effect of environmental regulation on carbon emissions and its spatial effect. The result shows that the influence trajectory of environmental regulation on carbon emissions performances inverted ＂ U＂ type. It is ＂ green paradox effect＂ before the inflection point and ＂ reversed transmission reduction effect＂ after the inflection point. Moreover,the carbon emissions show significant spatial spillover effect. In order to achieve the desired effect of environmental regulation and promote carbon reduction,we should increase the environmental regulation intensity reasonably,select rational environmental regulation policy tools,and sufficiently consider the spatial spillover effect of carbon emissions.

Effect of tetramethylpyrazine on the spatial learning and memory function of rats after focal cerebral ischemia

BACKGROUND： Tetramethylpyrazine （TMP） presents the effect of anti-platelet aggregation, reduces arteria resistance, increases cerebral blood flow, and improves microcirculation. OBJECTIVE： To observe the effects of TMP on the learning and memory abilities and the number of neurons in cortex and hippocampus after focal cerebral ischemia in rats DESIGN： A randomized controlled tria SETTING： Department of Human Anatomy and Histological Embryology, School of Medicine, Xi＇an Jiaotong University. MATERIALS： Fifty adult male Sprague-Dawley rats, weighing 250-300 g were supplied by the Experimental Animal Center, School of Medicine, Xi＇an Jiaotong University. TMP was purchased from Wuxi Seventh Pharmaceutical Co.Ltd （Lot Number： 2004051106, Specification： 2 mL/piece）. METHODS ： The experiments were carried out in School of Medicine of Xi＇an Jiaotong University from June 2004 to May 2005. The 50 rats were randomly divided into five groups according to the random number table method： sham-operated group, cerebral ischemia control group, low-dose TMP group, middle-dose TMP group and high-dose TMP group, 10 rats in each group. Rats in the TMP groups were immediately treated with intraperitoneal injection of TMP of 40, 80 and 120 mg/kg respectively, and those in the sham-operated group and cerebral ischemia control group were injected intraperitoneally by isovolume saline, once a day for 14 days successively. On the 15^th day, the spatial learning and memory abilities of the rats were assessed with the Morris water maze test, and then the changes of neuron numbers in cortex and hippocampus were observed by Nissl staining of brain sections. MAIN OUTCOME MEASURES ： The results of Morris water maze test and the changes of neuron numbers in cortex and hippocampus by Nissl staining of brain sections were observed. RESULTS： Finally 39 rats were involved in the analysis of results, and the other 11 died of excessive anesthesia or failure in model establishment. ① The rats in the cerebral ischemia control group manifested obvious spatial cognitive deficits in the place navigation trial and spatial probe trial. The mean values of escape latency in the sham-operated group, low, middle and high-dose TMP groups were obviously shorter than that in the cerebral ischemia control group [（23.92±2.21）, （41.84±3.74）, （39.50 ±3.80）, （31.38_±3.72）, （61.60±3.61） s, P 〈 0.05-0.01]. In the spatial probe trial, significant differences in the percentage of time spending in the former platform quadrant and frequency of crossing the former platform site in the sham-operated group, lose, middle and high-dose TMP groups were obviously higher or more than those in the cerebral ischemia control group [（36.27±3.42） %, （35.84±2.54）%, （38.43±3.08）%, （36.51±1.96）%, （22.24±3.46）%; （11 ±1 ）, （10±1）, （8_±1）, （8±1）, （4±1） times, P 〈 0.01]. ② In the morphological observation, the numbers of neurons in ipsilateral （left） parietal cortex in the sham-operated group, low, middle and high-dose TMP groups were obviously more than that in the cerebral ischemia control group [（98±8）, （65±5）, （53±6）, （57±6）, （37±6）/0.625 mm^2, P 〈 0.01], but the number of neurons in left hippocampus had no obvious differences among the groups （P 〉 0.05）. CONCLUSION ： TMP can improve obviously the spatial learning and memory function after permanent focal cerebral ischemia in rats, and the neuroprotective role of the drug in cortex may be involved in its mechanism.

Research on the Spatial Influence of Digital Inclusive Finance on the High-quality Development of Private Economy

This paper selects China's provincial panel data from 2011 to 2020,uses the entropy method to calculate the high-quality development index of the private economy,and studies the spatial impact of digital inclusive finance on the high-quality development of the private economy based on the SDM model.The results show that:digital inclusive finance development has a positive effect on the high-quality development of the private economy in various provinces and cities,while it has a negative inhibitory effect on the high-quality development of the private economy in neighboring provinces and cities.In terms of spatial heterogeneity,digital inclusive finance in North China,East China,and Central and South China has a significant role in promoting the high-quality development of the private economy.The effect of North China,East China,and Central South is decreasing in order,while digital inclusive finance in Northwest China has a significant effect on the private economy.High-quality development has a negative effect.This paper provides empirical evidence and policy directions for the high-quality development of private enterprises in the context of the digital economy in the new era.

Spatial Distribution Pattern of the Steppe Toad-headed Lizard(Phrynocephalus frontalis) and Its Influencing Factors

Spatial distribution patterns are associated with life history and behavioral adaptations of animals. For studying the spatial distribution pattern of the steppe toad-headed lizard(Phrynocephalus frontalis) and its influencing factors,we conducted experiments in Hunshandake Sandy Land in Inner Mongolia,China in July 2009. By calculating the clustered indices,we found that the lizard was aggregately distributed when the sampling quadrat was smaller than 10 m × 10 m,and uniformly distributed when it was greater than 10 m × 10 m. The Nearest Neighbor Rule showed a clustering distribution pattern for P. frontalis and the distribution pattern was quadrat-sampling dependent. Furthermore,the cluster was determined by environmental factors when the sampling quadrat was smaller than 20 m × 20 m,but it was determined by both environmental factors and characteristics of the lizard when it was larger than 20 m × 20 m. Our results suggested that the steppe toad-headed lizards tended to aggregate into suitable habitat patches in desert areas. Additionally,we discussed that the lizard aggregation could be potentially used as an indictor of movement of sand dunes.

Poverty reduction effects of integrating high-quality development and cultural tourism in China

The integration of the cultural tourism industry with high-quality development is believed to be an important method of alleviating poverty.Most research in this area has focused on single towns,cities,or regions without considering the spillover effects of neighboring areas.To fill this gap,this study applies a spatial panel econometric model to empirically test the spatial spillover effects of integrating the cultural tourism industry with high-quality developments and their mechanisms of poverty alleviation based on provincial panel data of the Chinese Mainland from 2010 to 2020.Four key results are presented.First,there is an obvious spatial dependence on the high-quality development scale,specialization level,and poverty level of cultural tourism integration.The common panel model is found to overestimate the impact of this integration on poverty alleviation because it ignores the spatial spillover-related explanatory variables.Second,the scale of development quality is found to have no significant impact on poverty alleviation when integrating cultural tourism;however,the level of development specialization has both a direct impact on poverty alleviation and the spatial spillover effect.Third,the integration of the cultural tourism industry in the Central and Western regions is shown to have a strong direct effect on poverty reduction through high-quality development.However,the spillover effect on poverty reduction in the Eastern region is greater than that in the Central and Western regions.Fourth,the integration of high-quality development and cultural tourism is found to have a direct impact on poverty alleviation overall by promoting tourism consumption,material capital accumulation,and structural transformation.

Interprovincial Effects of Fiscal Decentralization on Financial Decentralization in China

By motivating local governments to fight for financial resources,China's tax sharing reform has affected the structure of financial decentralization and inflated local financial systems,thus spawning regional financial risks.Based on theoretical analysis and empirical evidence,this paper has arrived at the following findings:due to different policy objectives,central and local governments exhibit different fiscal and financial behaviors;public finance and financial sector have become financing instruments with certain convertibility under local economic growth framework;fiscal decentralization inevitably affects financial decentralization and lays the foundation for provincial fiscal disparities,resulting in a certain spatial effect of interprovincial fiscal variable;financial explicit centralization/implicit decentralization and fiscal centralization have fueled local competition for financial resources and resulted in correlation between the spatial effects of provincial financial and fiscal variables,and moreover,their mismatch has also spawned fiscal and financial risks on various fronts.Hence,setting clear boundaries of financial centralization and decentralization and ensuring local government fiscal accountability is the key to the prevention and mitigation of fiscal and financial risks in China.

The Spatial Spillover Effect of Input and Output of Scientific Progress on Regional Economic Growth: The Case of Guangdong Province

This paper makes an empirical analysis of the spatial spillover effect of regional economic growth by using Moran’s I and Spatial Durbin Model to study the input and output of technological progress, with the panel data of 21 prefecture-level cities in Guangdong Province from 2008 to 2017. The empirical results show that the spatial autocorrelation exists in the economic development of Guangdong Province, and both the input and output of scientific research innovation have a significant positive effect on the regional economic growth. Under the spatial contiguity weights matrix, the output of scientific research and innovation has a more obvious spillover effect on the economic growth of neighboring cities than the input of scientific research and innovation.

The Spatial Effect of Green Tax Policy on Energy Efficiency: Evidence from China

Based on the 30 provinces(cities,autonomous regions)panel data of China from 2007 to 2016,this paper establishes a Spatial Durbin Model to explore the spatial effects of green tax policies in broad and narrow sense on energy efficiency.The results show that:(1)China's provincial energy efficiency has significant spatial correlation.(2)the relationship between the intensity of narrow sense green tax policy and the energy efficiency of the surrounding areas is an inverted U-shaped curve.(3)the relationship between the generalized green tax policy intensity and the energy efficiency of the surrounding areas is a U-shaped curve.

Spatial Effect Research on Educational Output and Economic Growth in China

This thesis is to study spatial effect of education output on economic growth through the use of spatial measurement technique. According to the study: there’s the presence of spatial spillover effects in human capital, economic growth, and others;in previous years, human capital depended on mainly the employers with junior school education or below;in recent years, with the reduction of employers with junior school education or below, employers with regular higher education can best promote the economic growth. However, it’s very difficult for human capital with vocational education to promote economic growth, especially in recent years. Therefore, from the perspective of long-term economic growth, China should focus on culturing professional talents and put more resources into the development of vocational education while developing the higher education.

The Effect of Spatial Structure Character of Heat Source on the Ray Path and the Evolution of Wave Energy of Meridional Wave Train

This paper studies correlations between the spatial structure character of thermal forcing and deformation and the amplitude of rays of meridional wave train. It is shown that if thermal forcing appears a meridional linear variation the rays of quasi-stationary planetary wave may propagate along oblique lines and if the meridional variability of heat source has second order term the rays show distinct deformation as a great circular route. Additionally, the inhomogeneous distribution may cause lower frequency oscillations in mid- and low-latitudes. The combination of zonal and meridional wave numbers and distributive character of heat source may form an inverse mechanism of variational trend of generized wave energy, reflecting in some degree the physical process of transition between meridional and zonal flow patterns.