Research on the Digital Economy's Impact on China's Economic Growth:Based on the Variations in Urbanization Levels Across China's Eastern,Central,and Western Regions and Sectoral Heterogeneity

This paper uses inter-provincial panel data from 2011 to 2017,a linear regression model,and a threshold model to conduct empirical analyses of the impact of the digital economy on China's overall economic growth and the three main sectors of industry.The paper then investigates the impact and effects the digital economy has had on the economic growth of the three main sectors of industry in China's eastern,central,and western regions.Finally,the paper investigates the most significant differences among the various regions and the threshold effects of urbanization levels on the relationship between the digital economy and economic growth.The findings indicate a significantly positive correlation between the digital economy and regional economic growth.Moreover,geographical factors notably influence this correlation.The digital economy exerts a positive effect on all sectors of industry.It may not substantially impact industrial development in regions with highly developed infrastructure.Regarding the other regions,the digital economy exhibits varying degrees of impact due to the differences in the specific indicators.The conclusion drawn by the threshold model is that the magnitude of the threshold effect correlates with geographic factors.No threshold effect was observed in the eastern region,while the threshold effect occurred in the central region when the urbanization levels for the provinces were below 0.6645.Similarly,the threshold effect was noted in the western region when the urbanization level was below 0.3931.Considering all of this,the study also offers policy recommendations that will help balance the regional development of digital economies,accelerate the digital transformation of traditional industries,enhance digital infrastructure construction,refine the formulation and implementation of data policy,and establish relevant incentive mechanisms.

Transformation power or development pressure:economic growth targets and urban carbon productivity

Maintaining moderate economic growth targets(EGTs)is the key for local governments to effectively implement the“carbon peak and carbon neutrality”goals under the refreshed development pattern.Utilizing panel data of 276 prefecture-level cities in China's Mainland from 2010 to 2020,and employing methods such as intermediary and threshold models,this study empirically analyzes the internal mechanism of EGT’s impact on urban carbon productivity(UCP).Our findings demonstrate that:①The overall EGT during the analyzed period is not conducive to improving UCP.This conclusion remains valid after a series of robustness tests.This effect is more pronounced in the central region and resource-based cities than in the east-west region and non resource-based cities.②EGT not only directly suppresses UCP but also exerts indirect negative impacts on UCP from three aspects:delaying the digital economy(DE),constraining financial expansion(FE),and hindering green technology innovation(GTI).This negative indirect effect is similar to or even surpasses the direct effect,suggesting that the internal relationship between EGT and“dual-carbon”goals should be re-evaluated from a new compound perspective.③EGT not only has a simple linear impact on UCP but also significantly exhibits a dynamic evolution pattern in inverted“U”shape.That is,as EGT continuously upgrades,a nonlinear impact on UCP emerges in the form of“promoting first,suppressing later”.This indicates that surpassing the“degree”limit for EGT will be detrimental to the improvement of UCP.This study broadens the scope of carbon productivity analysis by introducing a new perspective centered on EGT.The insights gleaned from this research offer valuable guidance for local governments to effectively manage economic growth expectations and promote the synchronized achievement of dual-carbon objectives.

The Impact of Urbanization and Factor Inputs on China's Economic Growth--A Spatial Econometrics Approach

This paper utilizes a panel data of 31 provinces in China spanning from 2007 to 2014.Spatial econometrics is applied to carry out regression analysis of the impact of urbanization and factor inputs on China's economic growth.By comparing differences among regions,this paper finds that in the regional level,the positive effect of urbanization in the Eastern region and the Western region is significant,and the positive effect of the proportion of input factors in the Central region is also significant but to a lesser extent.In general,there exists spatial spill-over effect between urbanization and factor inputs structure and economic growth,i.e.,both are capable of producing positive effect,but the input role played by the scale factor has diminishing marginal effect.Urbanization is more likely to become the driving force of economic growth and to stimulate economic growth.

The Impacts of Lower Population Growth on the Quality of Life and Economic Development：China＇s Experience

China is the most populous country in the world.The total Population on the mainland of China has in-creased from 540 million in 1949 to 1.18 billion by the end of 1993.China adopted a population policy by namc of"controlling population growth and im-proving the quality of the human resources',which has been deeply rooted in the hearts of the Chinese pcoplc.The overw helming majority of the Chinese people have recognized the necessity for implementing the family planning programme not only for the sustained devel-opment of the country,but also for the benefits of their own familie cs.

Research on the Impact of Innovation Drivers on the Quality of Economic Growth in China

The quality of economic growth is a prominent issue in the process of economic growth worldwide.This paper builds relevant econometric models and uses the provincial panel data from 2003 to 2015 to analyze the impact of innovation drivers on China’s economic growth.The empirical results show that technological innovation and institutional innovation have a significant role in promoting the quality of China’s economic growth,and the effect of institutional innovation is stronger than that of technological innovation.In terms of regions,the innovation driver has the greatest contribution to the quality of economic growth in the eastern region of China,with the western and central parts ranking second and third.However,the role of institutional innovation in the eastern region is prominent,and the role of technological innovation is weak.Only institutional innovation in the central region has a significant role in promoting the quality of economic growth.Only technological innovation in the western region has a positive effect on the quality of economic growth,and the impact is weak.The regional differences in the impact of innovation-driven economic growth are obvious.

Cointegration Analysis on the Relation between Urbanization and Economic Growth in China

This paper utilizes cointegration theory,error correcting model and Granger causality testing theory to make an empirical research on the relation between urbanization and GDP in China,and also implements a comparative analysis to the relation between three industries and degree of urbanization,the related coeffecient is 0.97,0.95,0.97,0.97.And the result shows a long-term balance between these two factors,and the promoting effect to tertiary industry by urbanization is more obvious.Urbanization and economic growth are the long-term balanced relations.In the long-term balance,every 1% increment of urbanization can make 4.82% increment of GDP;In short-term balance,if the balance depart from the long-term balance at the i-th term,the model will take automatic reversal adjustment with-0.06 adjusting strength at the(i+1)th term,to make it move to the long-term balance.The economic growth onto urbanization is one-way causality relationship,the primary and secondary industry onto urbanization is also one-way causality relationship.However,the tertiary industry onto urbanization is both-way causality relationship.

Study on Economic growth,Urbanization and Sustainable Utilization of Cultivated Land in China

By means of the dynamic regression model, this paper analyzes the relationships among economic growth, urbanization and changes of cultivated land in China, finds that the ratio of cultivated land occupied by economic growth is decreasing with social and economic growth. And, based on that, some policy suggestions on how to promote the sustainable use of cultivated land in China are put forward.

Effect of Biofertilizer on Growth, Productivity, Quality and Economics of Rainfed Organic Ginger （Zingiber officinale Rosc.） Bhaisey cv. in North-Eastern Region of India

Ginger yields in the NorthEastern region of India are low because the extremely poor farmers of the region can not afford to apply any chemical fertilizers and hence apply only the locally-available farmyard manures to ginger fields. Biofertilizers may be a cheap source of fertilizers for ginger cultivation as they can increase nutrient availability and improve rhizome quality and are required in small quantity. An investigation was thus undertaken to study the effect of different biofenilizers on growth, productivity, quality and economics of organic ginger grown under rainfed condition in NorthEastern region of India. Seed treatment with biofertilizers enhanced growth, increased rhizome yield by 19.0% and resulted in 32.4% higher net profit over control. Among the seed treatments, Azotobacter 5.0 kg ha＂l, Azospirillum 3.75 kg hal and Phosphotica 3.75 kg ha-1 were found optimum in improving most of the growth attributes, increasing yield components and yield of rhizome by 5.6%-13.5%. They also improved rhizome quality by increasing specific gravity, oleoresin and dry matter content and by decreasing crude fibre in rhizome. They resulted in higher net return by 4.0%-12.0% as compared to their other levels. Combined use of Azotobacter 5.0 kg hal along with Phosphotica 3.75 kg ha＂l was found to be the best treatment combination which greatly improved growth and yield attributes of ginger and ultimately recorded markedly higher productivity （2.0%-23.5%） over other combinations. This treatment combination improved the quality of the produce and resulted in the highest gross return （$4,905 hal）, net return （$3,525 hal） and return per dollar （3.55） invested in ginger cultivation. It appears that growing organic ginger by treating the seed rhizome with Azotobacter 5.0 kg ha-~ along with Phosphotica 3.75 kg ha-1 can result in good growth and high productivity of improved quality rhizome and ultimately result in maximum net profit and thus can be recommended for the NorthEastern region of India.

Double dividend of carbon intensity:environmental-quality improvement and sustainable economic growth

This paper established an equilibrium model including representative household,government,and eight industries,and two different environmental policy tools such as carbon intensity and carbon cap were added into the model.The paper points out that the carbon intensity policy imposed on major high-emission industries achieved double dividend of environmentalquality improvement and sustainable economic growth under the condition of proper constraint target.This result supports the environmental Porter hypothesis.This paper finds out that the double dividend is due to the fact that environmental governance policy leads to the rising price of resources and demand of labors,resulting in an effective redistribution of production factors among industries and sustainable economic growth.Furthermore,this paper estimates the marginal effect of economic structure on carbon emission and carbon intensity and provides targeted suggestions.

Measuring Quality of Economic Growth Incorporating Environment and Social Welfare:a Total Productivity Approach with an Application on China

By extending the traditional productivity theory,a new concept total productivity( TP) is introduced. Using a directional distance function approach,the concept is applied to measuring economic growth of 8 economic regions of China covering an 18 years period( 1997—2014) and test its convergence. Results showed that TP grew at an average rate of 6. 6% per year led mainly by technical change( 6. 5%). When environmental undesirable outputs are included,the Middle Yellow River,Northwest and Southwest regions of China witnessed higher productivity changes. Results of the convergence analysis revealed that China had made progress in reducing regional imbalance in growth. Inclusion of undesirable output showed that the energy-saving emission reduction policies had speed up the convergence rate of TP and environment oriented productivity. However,China's welfare oriented productivity is still very low.

Effects of Stocking Density on Water Quality,Growth and Economic Benefits of Chinese Softshelled Turtle Pelodiscus sinensis in Ponds

The Chinese soft-shelled turtle Pelodiscus sinensis is a high-valued freshwater species cultured in China.This study investigated the effects of stocking density on water quality,growth performance and economic return of Pelodiscus sinensis cultured in ponds.P.sinensis were stocked at densities of 1 ind./m^2(LD:low stocking density) and 2 ind./m^2(HD:high stocking density) in 3 000-m^2 ponds,with three replicate ponds for each density.P.sinensis juveniles were fed with a commercial dry pellet feed of 46% crude protein and minced fillet of silver carp ans cultured for 122 days.The results showed that the levels of total nitrogen(TN),total phosphorous(TP),Chlorophyll-a(Chl.a) and turbidity in LD treatment were significantly lower than those in HD treatment(P<0.05).The mean TN and TP concentration in LD treatment was 29.3% and 35.7% lower compared to the HD treatment at the end of the experiment,respectively.Mean survival rates,final weight,average growth rates and PER were significantly higher in LD treatment compared with the HD treatment(P<0.05),respectively.Production was significantly affected by stocking density,which was higher in HD treatment,but the net income was higher in LD treatment.The results suggest that turtles with mean weight 55.6 g rearing at a low stocking density(1 ind./m^2) in ponds had a positive effect on overall economic return and was effective at improving turtle growth performance and water quality.

Revisiting the Relationship Between Urbanization and Economic Development in China Since the Reform and Opening-up

The relationship between urbanization and economic development has become a hot topic in the scientific community due to its great practical significance,and economic and social value.However,this relationship continues to change dynamically.In the new stage of urbanization,it is urgent to reveal the causal relationship quantitatively and diagnose the future direction systematically.Based on this,this paper calculates the contribution rate of China’s urbanization to economic development from 1978 to 2019 and uses the panel data cointegration test method to explore the causal relationship between urbanization and economic development in China.The study has three principal results.First,the contribution rate of urbanization to economic growth has maintained the overall growth trend from1978 to 2019,but the growth rate of urbanization’s contribution to economic growth has been relatively low since 2012.It is an important reason that the real estate sector has moved into a new stage of transformation.Second,the cointegration test shows that economic development is a significant factor in advancing urbanization and the urbanization is the product of economic development.Urbanization has a positive feedback effect on economic development,but this effect does not pass the 5%significance level test.The impulse response function shows that the impact of urbanization on economic development is relatively small and stable,indicating that it is limited that the boost of economic development by land-centered urbanization.Third,China’s urbanization and economic development have both shown rapid growth for some time,but their relationship is still the low level of coordination,which has also led to a downward trend in the contribution of new-type,people-oriented urbanization to economic growth in recent years.In the future,China’s urbanization and economy need to maintain relatively medium-low speed growth in the medium-long term,and we should boost the coordinated development of urbanization and economy from low level to high level.

Economic Growth, Demographic Change and Rural-Urban Migration in China

Is China able to maintain fast growth after three decades？ This paper tries to answer this question by： 1） arguing that factors contributed to sustained long-run growth at supply side;2） focusing on contributions of demographic dividend especially that of rural-urban migration;and 3） analyzing rural demographic change with information collected through village-wide household survey.Policy alternatives to realize remaining potential demographic dividend are proposed based on the analysis of changing rural demographic structure.

Quantifying the link between industrialization,urbanization,and economic growth over Kenya

Industrialization is a key element for economic growth in both developed and undeveloped countries.Due to globalization,the cause-effect between industrialization,economic growth and urbanization are changing.This study investigates the relationship between economic expansion,urbanization,and industrialization in Kenya using a quantitative methodology.Using World Bank economic indicator parameters,it focuses on understanding the complex interrelationships between these factors.Vector Autoregression(VAR)modeling is used to analyze the relationships between GDP,urbanization,and industrialization between 1990 and 2018.The Granger causality test is used to determine the causal linkages between GDP,urbanization,and industrialization.Results show that urbanization is increasing steadily across Kenya,with a high population in central,western,Rift valley,and coastal regions.The availability of agricultural land influences urbanization,with a significant positive relationship between the three parameters.The Granger causality test shows a unidirectional relationship between GDP,urbanization,and industrialization.A minimum of 20%is considered as the benchmark for urbanization to reduce both GDP and industrialization.Unplanned and rapid urbanization,accompanied by ecologically unfavorable industrialization schemes,threatens Kenya’s biodiversity.The study provides insight into the interconnection between the three pillars of the economy and the statistical models developed are useful in forecasting future trends.

The Chinese Urban-rural Dual Economic Structure Model and Analysis

Based on the characteristics of urban-rural dual economic structure in China,we build a dynamic endogenous urban-rural dual economic model closely linked to China's reality,and carry out mathematical economics analysis of optimized conditions for urban and rural sectors. The main results show that:(i) The labor growth rate of urban-rural sectors must be greater than the time discount rate,or else there would be a vicious cycle of diminishing returns in the sectors;(ii) The accumulation rate of physical capital and human capital of urban-rural sectors,and the rate of technological progress,need to be greater than the corresponding depreciation rate plus the time discount rate,otherwise there would be a vicious cycle of diminishing returns in the sectors;(iii) The low accumulation rate in the rural sector,and the occurrence of labor outflow,human capital loss and lack of investment,will expand income gap between urban and rural areas,which is a reason for solidification of urban-rural dual economic structure.

Correlation Analysis between Economic Growth and Environmental Quality

With the rapid development of the economy,China’s environment has been damaged severely,which has attracted much attention from scholars and the local government.The concept of green development has been an underlying trend since 2012,and it is of great significance to explore the relationship between economic growth and environmental quality.Huzhou is a prefecture-level city under the jurisdiction of Zhejiang Province,and it is one of the 27 cities in the central area of the Yangtze River Delta.In recent years,this city develops well not only in economic development but also in maintaining a green environment.In the paper,the back propagation neural network is used to evaluate the local environmental quality.Meanwhile,the panel model is exploited to analyze the relationship between economic growth and environmental quality.All the data presented in the paper range from the year 2008 to 2018.Theoretical analysis indicates that the evaluation value of environmental quality,the emissions of industrial SO2,and waste water exhibit an inverted U-shaped relationship with economic growth.As for the regression results,the inflection point of income in the environmental Kuznets curve of the model which takes the evaluation value of the environmental quality as a dependent variable is higher than that of the model which takes the SO2 emission as an independent variable.The research result would help the local government to take appropriate countermeasures to improve the environment and economy.

Institutional Quality,Foreign Aid and Economic Growth in Recipient Countries

Foreign aid is an important aspect of China’s Belt and Road Initiative (BRI)for enhancing two-way cooperation with BRI countries. Based on the panel data of China’sforeign aid over the period 2000-2014, this paper employs the Worldwide GovernanceIndicators (WGI) to conduct an empirical study on the economic growth effects of China’sforeign aid and recipient countries’ institutional quality with the endogeneity of aid takeninto account. Results of our empirical study suggest that (i) China’s foreign aid, especiallyinfrastructure aid, can effectively promote economic growth in recipient countries;(ii)sound institutional development offers an important assurance for economic growth inrecipient countries;(iii) sample-specific regression reveals that the institutional quality ofrecipient countries can significantly influence the economic growth effects of China’s foreignaid, especially economic infrastructure aid for recipient countries in Asia and Europe.To improve aid effectiveness and quality, China needs to improve aid structure, superviseaid program implementation, and mitigate the impact of institutional risks in recipientcountries.

China＇s Economic Growth Cycles over the Past 60 Years and the Current New Cycle

This paper first summarizes China＇s economic growth rate fluctuations over the past 60 years since 1949 and examines the new developments in China＇s economic structure behind these fluctuations since reform and opening-up in the late 1970s.In tackling the global financial crisis,China is embracing a new economic cycle and must draw upon its economic history to prolong the upward momentum in the new cycle.To do so means maintaining an appropriate growth rate in the new cycle.This paper also analyzes the importance urbanization and the housing sector will play in the new cycle and how to address rising housing prices.

Governance Quality,Public Expenditure Efficiency,and Economic Growth

In this paper,we first examine the impact of governance quality on public expenditure efficiency.Then,we try to determine the effect of these expenditures on economic growth.Our starting point is the idea that public expenditure efficiency of a government program is significantly affected by the country’s governance quality.In other words,changes in government expenditure and the returns they generate on a government program depend on governance quality.Our sample consists of 36 countries observed over the 1996 to 2020 period.This period is known by a significant transition of political regimes.Our research model links government expenditure with the returns generated in a country in a given sector.In this model,we introduce the governance variable to examine the impact of government expenditure on returns on a government program in terms of schooling rates and life expectancy.The results indicate that governance quality affects expenditure structure and that efficiency of this expenditure positively correlates with a better governance quality as measured by corruption control and government efficiency.We also found that efficient expenditure has a positive impact on economic growth.

A New Method for Comprehensive Evaluation of Air Quality in Urban Agglomeration

In this study, a new method for a comprehensive evaluation of air quality in urban agglomerations was developed based on a prototype used to solve the spatial Steiner-Weber point. With this method, the air quality information of each city in the city group is aggregated into an optimal gathering point, and then the air quality of the city group is then dynamically evaluated each year. According to the relevant data of the China Statistical Yearbook 2018, we applied this method to aggregate the air quality indices of the major cities in the Beijing-Tianjin-Hebei urban agglomeration from 2014 to 2017. Using the plant growth simulation algorithm (PGSA), the optimal assembly points were calculated to be of a higher accuracy, compared to the traditional mean value aggregation method. Finally, the air quality of the Beijing-Tianjin-Hebei urban agglomeration during each year was evaluated dynamically based on the obtained assembly points. The results show that the air quality of the urban agglomeration is ranked as follows: Y2016Y2015Y2017Y2014.