Research on Efficiency of Financial Supports in Agricultural Industrialization in China

The agricultural industry development in China has been very successful, but there exist some problems, such as weak financial support strength. With the help of DEA-Malmquist index method, this paper evaluated the efficiency of the agricultural industrialization＇s financial supports, made a deep study of its influencing factors, which have an extremely important influence on the perfect agricultural industrialization＇s development.

Impact of environmental regulations on the efficient control of industrial pollution in China

The continuous progress of industrialization is a fundamental cause of China’s increasingly severe environmental pollution problem.Improving the efficiency of industrial pollution control is an inevitable choice to effectively decrease pollution emissions,thus winning the battle of pollution prevention and control.In this paper,we used the stochastic frontier analysis(SFA)model to measure the provincial efficiency of industrial pollution control based on the input and output data of industrial pollution control of 29 administrative provinces in China from 2000 to 2017.On this basis,a spatial econometric model was used to explore the influence of environmental regulation intensity on the efficiency of industrial pollution control.In addition,the spatial spillover effect of pollution reduction was thoroughly examined.The results show that:(1)The efficiency of industrial pollution control in China has improved year by year,but the overall efficiency is still low,with the average value increasing from 0.165 in 2000 to 0.309 in 2017.Furthermore,there is significant regional heterogeneity with the highest efficiency level in the east and lowest efficiency level in the west.(2)By increasing the financial and material input,the efficiency of industrial pollution control has increased.However,the increase of human input has not been so helpful.(3)The global Moran’s I index is significantly greater than zero,indicating a strong spatial correlation and agglomeration in the efficiency of industrial pollution control,which is reflected in high-high agglomeration in the eastern region and low-low agglomeration in the western region.(4)Stringent environmental regulation has a positive effect on improving the efficiency of industrial pollution control.It also imposes a positive spatial spillover effect,indicating a strategic interaction and coordination of regional pollution control.In line with this,related proposals have been made to optimize the investment structure for environmental pollution control,establish a flow mechanism for the factor market,and strengthen the environmental responsibility awareness of state-owned enterprises.On this basis,we expect to provide a policy for improving the efficiency of industrial pollution control and promoting regional joint pollution control in China.

The heterogeneous impact of China-Europe railway express on the efficiency of logistics industry in node cities

Purpose-The spatiotemporal compression effect of China-Europe Railway Express(CR-Express)can reduce the filow costs of resources between China's node cities.Additionally,it can break through the limitations of low-added-value marine products,significantly impacting the logistics industry efficiency.However,there are few literature verifying and analyzing its heterogeneity.This study explores the impact of CR-Express on the efficiency of logistics industry in node cities and analyzes the heterogeneity.Design/methodology/approach-First,this study uses panel data to measure the efficiency of node city logistics industry.Secondiy,this study discusses the impact of the opening of CR-Express on the efficiency of logistics industry in node cities based on the multi-period differential model.Finally,according to the node city difference,the sample city experimental group is grouped for heterogeneity analysis.Findings-The results show that CR-Express can promote the urban logistics industry efficiency,with an average effect of 4.55%.According to the urban characteristics classification,the heterogeneity analysis shows that the efficiency improvement effect of logistics industry in inland cities is more obvious.The improvement effect of node cities and central cities in central and western China is stronger,especially in the sample of megacities and type I big cities.Compared with non-value chain industrial products,the CR-Express has significant promotion effects on the logistics efficiency of the cities where main goods are value chain products.Originality/value-Under the background of double cycle development,this paper can provide a scientific basis for the investment benefit evaluation of CR-Express construction and the follow-up route planning.

Data Envelopment Analysis Approach on the Industrial Efficiency and Scales and Its Application in Shandong

A data envelopment analysis (DEA ) model is set up for the industrial efficiency and scales evaluation in this paper. By calculating. the efficiency coefficient and the scale state of Shandong province in Chian are obtained. Based on the analysis results, the paper presents the improvement ways which make the industrial efficiency getting to the higher levell by adjusting the input and output variables of the industry of Shandong.

Investigating the role of emissions trading policy to reduce emissions and improve the efficiency of industrial green innovation

Rapid economic development usually leads to serious environmental pollution problems.In order to solve the problem of pollutant emission in sustainable industrial development,it is urgent to examine the implementation effect of emissions trading policy(ETP)and its impact on green industrial development.This study adopts China's ETP as a case study and selects provincial panel data from 2004 to 2018.We first use a non-radial,non-directed,slack-based measure-directional distance function(SBM-DDF)to measure industrial green innovation efficiency.Then we use a difference in differences(DID)model to empirically test the emissions reduction effect of China's policy and whether it promotes industrial green innovation.Thereafter,results show that:(1)the ETP reduces sulfur dioxide(SO2)emissions indicating the effectiveness of the policy;(2)the policy significantly improves industrial green innovation efficiency,meaning it promotes the sustainable development of the economy;(3)heterogeneity analysis highlights that ETP produces greater benefits for the most polluted regions of China which have more strict environmental regulations.The study examines the effect of emissions trading policy implementation from a new perspective.The study also provides a reference point for China to further refine its policy mechanisms and for other countries to formulate suitable ETP.

Regional characteristics of industrial energy efficiency in China： application of stochastic frontier analysis method

This paper analyzed regional industrial energy efficiency in China with Total-Factor Energy Efficiency （TFEE）. The East region has the best energy efficiency and the Central and the West regions stand as the second and the third respectively. However, it is found that industrial energy efficiency of all regions increased from 1998 to 2006. This result is consistent with level of economic development of every region. The industries of all provinces in China are not yet at the frontier efficiency position, therefore, to the frontier as target, their technol- ogy levels and production processes should be adjusted accordingly. Compared with the conventional energy efficiency, the inverse of energy intensity, which is defined as the ratio of actual output to energy input, is regarded as Single-Factor Energy Efficiency （SFEE） index. Although TFEE ranks are not changed for each region, they are different for each province. The comparative result also shows that the substitution among inputs （labor, capital stock, and energy） to produce the output is significant. The SFEE scores could be over-estimated if energy is taken as the single input in the production. Finally, we identified determining factors affecting industrial energy efficiency using Tobit model. The results indicate that an increase of per capita Gross Domestic Product （GDP）, the percentage of output value of industry invested by Hong Kong, Macao, Taiwan and abroad, energy price and investment of scientific and technological activities for industry could be possible contributors and drivers to the industrial energy efficiency. However, increasing of heavy industry will lead to worse industrial energy efficiency.

Profit of Chemical Fibre Industry Surgeson Efficiency Improvement

According to data collected from 1935 statistics-worthy Chinese chemical fibre enterprises surveyed by National Bureau of Statistics of China, the total profits reached CNY8.066 billion in Jan. -May, 2010, up 200.08 per cent y/y, 234.78 percentage points higher than the Jan.-May 2009 period. Technology improvement and industrial structural adjustment played a very major role on profi t growth.