A Study of the Impact of the Digital Economy on the Efficiency of Urban Green Economy--Based on the Yangtze River Delta City Cluster

This paper adopts the non-expected output-super-efficiency SBM(Slacks-Based Model)model and principal component analysis to calculate the green economy efficiency and the digital economy level of 27 prefecture-level cities in China’s Yangtze River Delta urban agglomeration between 2011 and 2019,respectively,and examines the impact of the digital economy on the green economy efficiency by using benchmark regression and mechanism analysis.The findings show that,first,the digital economy has a significant contribution to the green economic efficiency of cities,and this conclusion still holds after robustness tests such as replacing explanatory and interpreted variables and introducing province-fixed effects.Second,through the mechanism test,it is found that the digital economy can indirectly promote urban green economic efficiency through the positive mechanism effect of promoting industrial structure upgrading.

Are cities greener because of innovation?Independent innovation policy and green economic efficiency

The national independent innovation demonstration zone(NIIDZ)is an independent innovation policy that plays a crucial role in implementing strategies.Given the importance of the NIIDZ,this study uses panel data of 278 prefecture-level cities in China from 2006 to 2020 and empirically examines the effect and internal mechanism of the NIIDZ on green economic efficiency(GEE)using the difference-in-difference model(DID).The results show that the NIIDZ effectively enhances the growth of GEE,and the results remain valid through several robustness tests,such as year-by-year propensity score matching.The transmission mechanism suggests that the NIIDZ indirectly drives GEE by accelerating scientific and technological investment,promoting talent concentration,and optimizing the industrial structure.Moreover,heterogeneity analysis reveals that the promotion effect of the NIIDZ on GEE is more prominent in the eastern region and high green development level areas.The study’s findings can serve as a reference for China to further utilize the policy effectiveness of the NIIDZ and accelerate the high-quality development of the green economy in the future.

Regional Economic Efficiency and Its Influencing Factors of Beijing-Tianjin-Hebei Metropolitans in China Based on a Heterogeneity Stochastic Frontier Model

Using a heterogeneity stochastic frontier model(HSFM),we empirically investigated the economic efficiency of Beijing-Tianjin-Hebei from 2003 to 2016 and its influencing factors.The key findings of the paper lie in:1)in Beijing-Tianjin-Hebei,the overall economic and technological efficiency tended to increase in a wavelike manner,economic growth slowed down,and there was an obvious imbalance in economic efficiency between the different districts,counties and cities;2)the heterogeneity stochastic frontier production functions(SFPFs)of Beijing,Tianjin and Hebei were different from each other,and investment was still an important impetus of economic growth in Beijing-Tianjin-Hebei;3)economic efficiency was positively correlated with economic agglomeration,human capital,industrial structure,infrastructure,the informatization level,and institutional factors,but negatively correlated with the government role and economic opening.The following policy suggestions are offered:1)to improve regional economic efficiency and reduce the economic gap in Beijing-Tianjin-Hebei,governments must reduce their intervention in economic activities,stimulate the potentials of labor and capital,optimize the structure of human resources,and foster new demographic incentives;2)governments must guide economic factors that are reasonable throughout Beijing-Tianjin-Hebei and strengthen infrastructure construction in underdeveloped regions,thus attaining sustainable economic development;3)governments must plan overall economic growth factors of Beijing-Tianjin-Hebei and promote reasonable economic factors(e.g.,labor,resources,and innovations)across different regions,thus attaining complementary advantages between Beijing,Tianjin,and Hebei.

Measurement of Digital Economy Development Level in Yangtze River Delta and Its Influence on Ecological Efficiency

Based on the panel data of 41 cities in the Yangtze River Delta from 2007 to 2018,this paper empirically tests the impact of digital economy development on urban ecological efficiency in the Yangtze River Delta.The results show that the development level of digital economy in Yangtze River Delta urban agglomeration is fluctuating and rising;the development of digital economy has a significant positive role in promoting the improvement of urban ecological efficiency;there is significant regional heterogeneity in the promotion of ecological efficiency by digital economy,especially in central cities.

An Empirical Study on the Development of Regional Circular Economy Based on Ecological Efficiency： A Case Study of Jiangsu Province

Based on the theory of ecological efficiency,an empirical study on ecological efficiency and its changing path in Jiangsu Province during2005-2014 was conducted,and then the relationship between economic development and environmental pressure in the province was discussed by decoupling analysis. Finally,the main influencing factors of changes in ecological efficiency were analyzed by grey relational analysis method. The results showed that from 2005 to 2014,the resource efficiency of each indicator in Jiangsu Province fluctuated,while the environmental efficiency of most indicators increased slightly. The comprehensive resource efficiency and environmental efficiency also fluctuated,and the fluctuation range of the comprehensive environmental efficiency was larger than that of the comprehensive resource efficiency. Seen from the temporal evolution of ecological efficiency and circulation economy development pattern in Jiangsu Province,the leaping development mode was adopted in the province.The decoupling state of economic development and environmental pressure in Jiangsu Province was unstable,and they were in a state of strong decoupling,weak decoupling and expensive recoupling in most years. According to the results of grey relational analysis,comprehensive utilization of solid waste,industrial electricity consumption,electricity consumption of the whole society,domestic energy consumption,discharge of urban domestic sewage,and production of common industrial solid waste were the main influencing factors of changes in ecological efficiency in Jiangsu Province.

Economic and Land Use Impacts of Improving Water Use Efficiency in Irrigation in South Asia

This paper modifies and uses an advanced computable general equilibrium model coupled with biophysical data on land and water resources by Agro-Ecological Zone (AEZ) at the river basin level to examine the economy-wide consequences of im-provements in water use efficiency (WUE) in irrigation in South Asia. This is the first time the benefits of such improvements have been evaluated in an economy-wide context. It shows that such improvements increase production of food items, enhance food exports, and significantly improve food security in South Asia. Improvement in water use efficiency also leads to lower food prices, provides the opportunity to extend irrigated areas, decreases demand for cropland, and enhances reforestation. Im-provement in water use efficiency in irrigation also generates important net GDP gains across the South Asia region. Investments in improved WUE of up to 40% can be economically justified in Bangladesh, India, and Sri Lanka. However, in Nepal, for an improvement of more than 20% in WUE, the economic gains are smaller than costs from the associated investments. In Pakistan and rest of South Asia, an improvement in WUE of up to 30% appears to be economically profitable.

Crossing the Growth Threshold： Service-Based Economy, Knowledge Process and Reshaping of Efficiency Model

The transition from middle-income to high-income stage is fraught with risks of growth divergence. Economic transition is clouded by the following possibilities： （1）falling share of industrial seetor through industrial depression and weakening growth momentum caused by the large urbanization costs; （2） the subordination of service sector as a result of nearly irreversibly industrial professional, which falters the process of service sector transition and upgrading,＂ （3） inefficient knowledge production allocation and human capital upgrade due to the absence of incentivized compensation of knowledge consumption. We suggest that a country should reshape its efficiency model by upgrading knowledge factor and human capital as the pre-requisite. Given the dilemmas of transition, China should take the faetorization trend of service sector and reshape efficiency model through institutional reform, ensuring that service sector will develop in tandem with industrial sector.

Analysis Criteria for Defense Expenditure Performance - Economy, Efficiency, and Effectiveness

Based on the analysis of public expenditure performance,this article discusses the economy,efficiency,and effectiveness of defense expenditure performance,explains the relationship of the three,and emphasizes their unity,interaction,and priority.The defense expenditure performance evaluation system,which is a comprehensive assessment of processes and results,is put forward along with the unification of economy,efficiency,and effectiveness.This system can be used to analyze whether the allocation and use of defense funds have achieved the strategic objectives of the Department of Defense.

Hydrodynamic Assessment of Increasing the Energy Efficiency of Trawler Propulsion with a Draft Tube

The economy of the fishing industry is suffering from high fuel prices. Considerable efforts are invested in methods to increase the energy efficiency of fishing vessels and reducing the oil consumption per kilo of catch that may be as high as 0.6 to 0.7 liter oil per kilo catch. It is primarily the fact that sailing and fishing are on two very different speeds that cause these high fuel consumptions. This is called the two-speed problem and it is the trawlers that are hit hardest by it. The essence of the two-speed problem is that a hydraulic efficiency of only 28% can be expected in trawling speed, when it would be 67% if the ship is sailing at optimum speed all the time. Hydrodynamical analysis shows that an average hydraulic efficiency of only 41% can be expected for a trawler. There is no simple remedy for this, but it is possible to use a technology developed in the hydropower industry, i.e. a draft tube, or a diffuser, to recover energy that would otherwise be lost when trawling. A draft of tube the same length as the propellers diameter could mean fuel savings of 10%, a draft tube twice as long 20%. The difficulty is to find a way to get the draft tube out of the water during sailing with a vessel-specific mechanical design that is not a part of the fluid dynamics of the problem and not discussed in the paper.

A Literature Review of the Influence of Commercial Credit on the Efficiency of Enterprise Capital Allocation

The real economy is the main body of high-quality development,and the efficiency of capital allocation is an important manifestation of the development of the real economy.Therefore,it is very important to study the efficiency of capital allocation.As a representative of horizontal finance,commercial credit has a significant impact on the improvement of capital allocation efficiency.In view of this,this article combs the literature on commercial credit and capital allocation efficiency from the following aspects:firstly,by studying the literature,combing the literature on the macro-level,micro-level and economic effects of commercial credit;secondly,the measurement method of capital allocation efficiency And the influencing factors are systematically sorted out,and finally sorted out and evaluated the existing literature on the influence of commercial credit on the efficiency of capital allocation.

Contrastive Study of the Circular Economy of Coal Resource City Based on Ecological Efficiency and C Model

Being a developing country, the evaluation of Chinese circular economy should have its particular crite- rion that suits for specific national conditions. With the growth of economy, Chinese environmental loads should be permitted to increase at an appropriate speed. Based on this concept, this paper divides the process of evaluation into two parts which include evaluation of development level and evaluation of development performance. Firstly, this paper sets up a reference system which includes Zaozhuang City of Shandong Province, Jiaozuo City of Henan province, Shizuishan City of Ningxia Hui Autonomous Region and China that is regarded as a region respectively, analyzes the development level of circular economy of coal resource cities based on the evaluation indicator of ecological efficiency, and puts forward the future direction of circular economy of coal resource cities. Secondly, based on C Model of Circular Economy, this paper constructs the measurement model of development perform- ance in which study regions are analyzed in a particular period that is from 2000 to 2020, and evaluates the de- velopment performance of circular economy for study regions according to the relationship of growth multiples between economic scale and environmental loads. We can draw several main conclusions： firstly, the development pathways of all four study regions belong to type I[ which resource efficiency is preferred. Secondly, the com- prehensive energy consumption efficiencies of coal resource cities were left far behind by China＇s average level. Thirdly, the circular economies of all study regions have achieved remarkable progress. Fourthly, the development level of circular economy can be evaluated from two dimensions which consist of horizontal comparison method and vertical comparison method. Fifthly, C model is an appropriate development model that suits for Chinese na- tional conditions and could be selected as an important method to evaluate regional development performance of circular economy.

Coordinated development efficiency between cultivated land spatial morphology and agricultural economy in underdeveloped areas in China:Evidence from western Hubei province

Suitable spatial morphology of cultivated land is a basic requirement for sustaining agricultural economic development in mountainous areas.Coordinated development efficiency of cultivated land spatial morphology and agricultural economy(CECA)is of great practical significance to measure the efficiency of cultivated land use,and thereby promote regional rural revitalization.However,few studies to date have focused on coordinated development efficiency between cultivated land use and agricultural economy in mountainous areas from the perspective of cultivated land spatial morphology.Thus,the present study explores CECA with this focus using the data envelopment analysis method,and analyzes the key influencing factors via a geographical detector model in 16 counties in western Hubei province.The results show the following:(1)CECA exhibits significant spatial heterogeneity that is high in the south of the study area and low in the north;(2)scale efficiency is the primary limiting factor for CECA;(3)the insufficient output of cultivated land use mainly restricts CECA in the south of the study area,while individual county in the north suffered from input redundancy and insufficient output;and(4)population density in the southern region has the most significant effect on CECA,and gross domestic product has the greatest impact in the northern region.The results contribute to the derivation of specific measures by which to promote cultivated land use efficiency and sustainable development of the social economy.

Input-output efficiency model of urban greenenergy development from the perspective of a low-carbon economy

With the acceleration of urbanization,cities are the main targets for carbon neutrality and urban energy is the terminal of energy consumption and the integration point of various energy systems.Therefore,there is a need to promote the development of urban green energy and achieve low input and high output to achieve a low-carbon economy in cities.Previous studies have not considered the input-output efficiency of urban green-energy development.This study fills this gap.Based on the economic-energy-environmental framework,an input-output efficiency-evaluation index system for urban green-energy development was constructed.Based on improved data-envelopment analysis,a comparative evaluation of the input-output efficiency of green-energy development was carried out in 30 provinces in China in 2019.Considering the differences in regions,the development of urban green energy in different provinces was classified.From the perspective of a low-carbon economy,economic growth factors and environmental constraint factors were set.Together with the generalized Divisia index approach,the input-output efficiency optimization directions of urban green-energy development were obtained.The results showed that the input-output efficiencies of urban green-energy development in Jiangsu,Zhejiang,Fujian,Inner Mongolia,Ningxia and other provinces and cities were relatively high.Provinces with faster economic development and higher environmental carrying capacity have advantages after optimization and will become pilot areas for the development of urban green energy.This research provides a reference for the development of urban green energy in various provinces from the input and output perspective.

Digital Economy Development, International Trade Efficiency and Trade Uncertainty

From the perspective of international trade efficiency and trade uncertainty,this paper analyzes the impact of digital economy development(DED)in importing countries on China’s exports.Theoretically,importing countries’DED can reduce the trade cost of China’s exports,and then improve the export efficiency of China.On the other hand,the intensified market competition in importing countries resulting from DED and the changes in data transmission policies may also increase the uncertainty of China’s export trade.This paper uses the networked readiness index(NRI)to measure the DED level of different countries,and the heterogeneous stochastic frontier gravity(HSFG)model to empirically analyze the data of China’s exports to 115 countries and regions in the period of 2007−2015.The results show that the DED in importing countries can significantly reduce the loss of China’s export efficiency and improve the efficiency of China’s export trade,and this effect is more obvious for China’s exports to low-and middle-income countries.However,importing countries’DED may also increase the uncertainty of China’s export trade.The development of global digital economy brings new opportunities to international trade and new challenges to China’s export.This paper provides a basis for China to strengthen its own DED,deepen international exchanges and cooperation,guide enterprises’transformation and upgrading,and improve their competitiveness and anti-risk capability.

Can blockchain technology be effectively integrated into the real economy?Evidence from corporate investment efficiency

As a highly disruptive digital technology,blockchain provides new solutions for reshaping corporate governance mechanisms and improving resource allocation.We empirically examine the relationship between blockchain and corporate investment inefficiency.We find that blockchain can help improve corporate investment efficiency,and this result is valid after a series of robustness tests.Blockchain can not only significantly restrain overinvestment but also alleviate underinvestment.Reducing financing costs and alleviating agency conflicts are the two channels through which blockchain is associated with corporate investment efficiency,and financial reporting quality is the condition on which the channels depend.When the CEO holds few shares or the trade credit environment in the region where the company is located is poor,the effect of blockchain is more prominent than it is otherwise.Investment efficiency cannot be improved by blockchain for companies providing blockchain products or services to customers,only for those promoting their own operations and management with blockchain.Ultimately,blockchain can enhance companies’value by alleviating inefficient investment.We reveal the role of blockchain in corporate investment efficiency,furnish microeconomic evidence for the integration of digital technology and the real economy and provide implications for China to promote digital technology to drive high-quality company development.

Car Fuel Economy Simulation Forecast Method Based on CVT Efficiencies Measured from Bench Test

Researchers face di culties in studying the e ects of driveline e ciency on car fuel economy via bench and road tests because of long working periods, high costs, and heavy workloads. To simplify the study process and shorten test cycles, a car fuel economy simulation forecast method for combining computer simulation forecasting with bench tests is proposed. Taking a continuously variable transmission(CVT) as the research object, a transmission e ?ciency model based on a bench test is constructed. An optimal economic variogram based on the original CVT vari?ogram, the boundary conditions of vehicle performance, the road conditions and the driving behavior of the driver is generated in the Gear Shift Program(GSP)?Generation module in AVL Cruise. And on this basis a driveline simulation model that can calculate the fuel consumption based on the driveline data of a test car is built. The model is used to forecast fuel consumption and calculate real?time CVT e ciency under di erent conditions. Contrastive analyses on simulation results and real car drum test results are made. The largest error between simulation results and drum test results in driving cycles is 4.099%, which is 5.449% under constant velocity condition in driver control mode and 4.2% under constant velocity condition in automatic cruise mode. The results confirm the feasibility of the method and the good performance of the driveline simulation model in accurately forecasting fuel consumption. The method can e ciently investigate the e ects of driveline e ciency on car fuel economy. Moreover, this research provides instruc?tion for accurately forecasting fuel economy as well as references for studies on the e ects of drivelines on car fuel economy.

Spatio-temporal evolution and influencing factors of urban green development efficiency in China

To resolve conflicts between development and the preservation of the natural environment,enable economic transformation,and achieve the global sustainable development goals(SDGs),green development(GD)is gradually becoming a major strategy in the construction of an ecological civilization and the ideal of building a"beautiful China",alongside the transformation and reconstruction of the global economy.Based on a combination of the concept and implications of GD,we first used the Slacks Based Model with undesirable outputs(SBM-Undesirable),the Theil index,and the spatial Markov chain to measure the spatial patterns,regional differences,and spatio-temporal evolution of urban green development efficiency(UGDE)in China from 2005 to 2015.Second,by coupling natural and human factors,the mechanism influencing UGDE was quantitatively investigated under the framework of the human-environment interaction.The results showed that:(1)from 2005 to 2015,the UGDE increased from 0.475 to 0.523,i.e.,an overall increase of 10%.In terms of temporal variation,there was a staged increase,with its evolution having the characteristics of a"W-shaped"pattern.(2)The regional differences in UGDE followed a pattern of eastern>central>western.For different types of urban agglomeration,the UGDE had inverted pyramid cluster growth characteristics that followed a pattern of"national level>regional level>local level",forming a stable hierarchical scale structure of"super cities>mega cities>big cities>medium cities>small cities".(3)UGDE in China has developed with significant spatial agglomeration characteristics.High-efficiency type cities have positive spillover effects,while low-efficiency cities have negative effects.Different types of urban evolution processes have a path dependence,and a spatial club convergence phenomenon exists,in which areas with high UGDE are concentrated and drive low UGDE elsewhere.(4)Under the framework of regional human-environment interaction,the degree of human and social influence on UGDE is greater than that of the natural background.The economic strength,industrial structure,openness,and climate conditions of China have positively promoted UGDE.

Life-insurance Efficiency in China:A Comparison of Foreign and Domestic Firms

The Chinese life-insurance industry has experienced major structural changes in recent years, primarily because of increasing demand and the entry of foreign insurers. Although the market is clearly booming, the efficiency of its growth and development is unclear. In this paper, we evaluate the efficiency of life insurers operating in China and compare foreign firms with domestic firms. We find that foreign insurers have not brought efficiency into the Chinese market, and that the market is still dominated by domestic giants. However, the gap between foreign insurers and domestic insurers is narrowing. After testing hypotheses regarding scale economy, technical progress andpotential improvements, we discuss several issues＇ of importance to life insurers, market investors and government regulators.

高速公路对绿色经济效率的影响分析--基于产业结构优化视角

当前中国高速公路建设布局日趋完善,探究如何发挥其对地区产业结构优化的有力支持,进而助力绿色经济发展转型具有重要意义。论文基于2006—2019年中原城市群27个城市的面板数据,运用超效率SBM模型测算其绿色经济效率,从产业结构优化的视角实证分析了高速公路对绿色经济效率的影响,并以产业结构优化为中介与门槛变量,进一步探讨产业结构优化对于高速公路影响绿色经济效率的门槛效应。研究结果表明:中原城市群高速公路与绿色经济效率间呈现先抑制后促进的“U”型关系;产业结构优化在高速公路和绿色经济效率间发挥部分中介作用;产业结构优化存在单一门槛效应,随着产业结构优化水平的提升,高速公路对绿色经济效率由抑制作用转为促进作用。

China＇s Economic Growth and Structural Transition since 1978

Over the past 40 years of reform and opening-up during 1978-2018, China ＇S rapid economic growth has become a miracle in world economic history and reshaped the world economy. In the 40 years, China has successfully transformed from an isolated agricultural country into the world＇s largest industrial manufacturer. In 2018, China＇s urbanization rate is expected to reach 60% with per capita GDP expected to reach 9, 000 USD. After another 5 to 8 years, China will join the rank of high-income countries, successfully cross the middle-income trap and become a moderately prosperous economy in all respects. In its modernization drive, China will follow the new concept of ＂innovation, coordinated, green, open and shared development＂ and strive to achieve its ＂two centennial