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Innovation,financial permeation,and income inequality:From a dynamicperspective in China

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Journal of Management Science and Engineering 2024年第2期9卷 220-238页

作者： Xianming Sun Shiyi Xiao Ganlin Wang Xiaohang Ren school of finance Zhongnan University of Economics and LawWuhan430073China Innovation and Talent Base for Digital Technology and finance Wuhan430073China school of Business Central South UniversityChangsha410083China

Innovation is a driving force of wealth *** explore its time-varying effect on income inequality,we propose a nonparametric model using the local linear dummy variable estimation(LLDVE)*** on province-level panel data from China spanning from 2006 to 2020,we find that innovation initially reduces income disparity until 2009,then exacerbates it from 2013 to 2016,and alleviates inequality again over *** further verify that financial permeation serves as a catalyst in the inequitable income distribution driven by ***,this moderating effect reverses the relationship between green innovation and income *** suggests that we should enhance the financial service towards all aspects of innovation beyond its support of green innovation.

关键词： Income inequality Innovation Financial permeation Time-varying relationship Local linear dummy variable estimation(LLDVE)

Asymptotic Inference in the Random Coefficient Autoregressive Model with Time-functional Variance Noises

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Acta Mathematicae Applicatae Sinica 2024年第2期40卷 320-346页

作者： En-wen ZHU Zi-wei DENG Han-jun ZHANG Jun CAO Xiao-hui LIU Department of Mathematics and Statistics Changsha University of Science and TechnologyChangsha 410114China school of Mathematics and Computational Science Xiangtan UniversityXiangtan 411105China school of Statistics and Data Science and Key Laboratory of Data Science in Finance and EconomicsJiangxi University of Finance and EconomicsNanchang 330013China

This paper considers the random coefficient autoregressive model with time-functional variance noises,hereafter the RCA-TFV *** first establish the consistency and asymptotic normality of the conditional least squares estimator for the constant *** semiparametric least squares estimator for the variance of the random coefficient and the nonparametric estimator for the variance function are constructed,and their asymptotic results are reported.A simulation study is presented along with an analysis of real data to assess the performance of our method in finite samples.

关键词： random coefficient autoregressive model time-functional variance conditional least squares semiparametric least squares

Error Estimate of Full-Discrete Numerical Scheme for the Nonlocal Allen-Cahn Model

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Journal of Mathematical Research with Applications 2024年第3期44卷 344-358页

作者： Jun ZHANG Xiaohu YANG Fulin MEI Zhimei JI Yu ZHANG school of Mathematics and Statistics Guizhou University of Finance and Economics The Meteorological Disaster Prevention Center of Guizhou Province Xi'an institute of Applied Optics Financial Department Guizhou University of Finance and Economics

In this work, we study the error estimates of the fully discrete Fourier pseudospectral numerical scheme for solving the nonlocal volume-conserved Allen-Cahn(AC) *** time marching method of the numerical scheme is based on the well-known Invariant Energy Quadratization(IEQ) method. We demonstrate that the proposed fully discrete numerical method is uniquely solvable, unconditionally energy stable, and obtain the optimal error estimate of the scheme for both space and time. Additionally, we conduct several numerical tests to verify the theoretical results.

关键词： nonlocal Allen-Cahn model uniquely solvable unconditionally energy stable error estimate numerical tests

A Degradation Type Adaptive and Deep CNN-Based Image Classification Model for Degraded Images

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工程与科学中的计算机建模(英文) 2024年第1期138卷 459-472页

作者： Huanhua Liu Wei Wang Hanyu Liu Shuheng Yi Yonghao Yu Xunwen Yao school of Information Technology and Management Hunan University of Finance and EconomicsChangsha410205China

Deep Convolutional Neural Networks(CNNs)have achieved high accuracy in image classification tasks,however,most existing models are trained on high-quality images that are not subject to image *** practice,images are often affected by various types of degradation which can significantly impact the performance of *** this work,we investigate the influence of image degradation on three typical image classification CNNs and propose a Degradation Type Adaptive Image Classification Model(DTA-ICM)to improve the existing CNNs’classification accuracy on degraded *** proposed DTA-ICM comprises two key components:a Degradation Type Predictor(DTP)and a Degradation Type Specified Image Classifier(DTS-IC)set,which is trained on existing CNNs for specified types of *** DTP predicts the degradation type of a test image,and the corresponding DTS-IC is then selected to classify the *** evaluate the performance of both the proposed DTP and the DTA-ICMon the Caltech 101 *** experimental results demonstrate that the proposed DTP achieves an average accuracy of 99.70%.Moreover,the proposed DTA-ICM,based on AlexNet,VGG19,and ResNet152,exhibits an average accuracy improvement of 20.63%,18.22%,and 12.9%,respectively,compared with the original CNNs in classifying degraded *** suggests that the proposed DTA-ICM can effectively improve the classification performance of existing CNNs on degraded images,which has important practical implications.

关键词： Image recognition image degradation machine learning deep convolutional neural network

FinTech Can Prevent the Formation of Zombie Firms:Evidence from China

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Social Sciences in China 2024年第1期45卷 111-133页

作者： Jiang Jiatong Yang Lu Yin Zhentao school of International Trade and Economics University of International Business and Economics school of Public Policy&Management Tsinghua University institute of finance and Banking Chinese Academy of Social Sciences

The interplay between financial technology(FinTech)and real economy firms has garnered considerable *** paper explores the relationship and mechanism between FinTech and corporate zombification using the data of Chinese A-share listed firms in China from 2011 to *** research findings reveal that FinTech significantly inhibits firm zombification,and FinTech breadth and depth both play a significant role in restraining firm *** exploration indicates that,on the one hand,FinTech reduces friction in the financial market,inhibiting firm zombification by improving firm investment efficiency,especially alleviating *** the other side,FinTech indirectly affects the technological investment,production,and operation of firms,thereby inhibiting firm zombification by increasing their total factor *** analysis suggests that the inhibitory effect of FinTech on corporate zombification is more pronounced for non-stateowned firms and small-sized firms,as well as those in manufacturing industries and highly competitive *** paper provides some novel evidence on evaluating the effect of FinTech on firms and also offers new insights for efficient governance of zombie firms.

关键词： FinTech zombie firms investment efficiency total factor productivity

The Role of Childhood Circumstances in Healthy Aging Inequalities Among Older Adults—China,2011–2020

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China CDC weekly 2024年第11期6卷 208-212,I0004-I0007页

作者： Peng Nie Xili Lin Lanlin Ding school of Economics and finance Xi’an Jiaotong UniversityXi’an CityShaanxi ProvinceChina Global Health institute Xi’an Jiaotong University Health Science CenterXi’an CityShaanxi ProvinceChina National school of Development Peking UniversityBeijingChina

What is already known about this topic?Addressing health disparities is a worldwide priority,with a well-established acknowledgment of the influence of childhood circumstances on these *** China,particularly among the elderly,health inequalities are a notable *** is added by this report?The inequality in healthy aging has increased from 2011 to 2020,both in general and concerning childhood ***,the impact of early-life healthcare access and parental health behaviors on healthy aging gaps has reduced among older adults in better health within the top segment of healthy *** are the implications for public health practice?Efforts towards reducing regional health disparities and improving healthcare access for children,along with promoting the health and well-being of parents,especially in economically disadvantaged households,are crucial policy considerations.

关键词： ledgment inequalities circumstances

Can the improvement of competitive adequacy and fairness reduce discriminatory M&A behavior?Evidence from the market access negative list pilot in China

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China Journal of accounting Research 2024年第1期17卷 96-131页

作者： Xiongyuan Wang Jing Xu Shuai Wang school of accounting Zhongnan University of Economics and LawWuhanChina institute of Ecological Civilization School of EconomicsZhongnan University of Economics and LawWuhanChina Huawei Technology Co.Ltd ShenzhenChina

Corporate mergers and acquisitions(M&As)are subject to skewed logic due to excessive government *** is progressively adopting the Market Access Negative List(MANL)pilot to transfer the power of resource allocation from the government to the *** the DID method,we examine the impact of relaxing market access regulation on firms’M&A behavior against China’s institutional background and the M&A events of listed companies from 2012 to *** MANL significantly increases firms’M&A tendency and amount and strengthens the competitive adequacy and fairness of market-oriented M&A ***-M&A financial performance does not increase,but human capital productivity,innovation effectiveness and total factor productivity do,demonstrating the dynamic balance of profit and efficiency in M&As.

关键词： Transition economies Market access deregulation Market access negative list Mergers and acquisitions

Principal Model Analysis Based on Bagging PLS and PCA and Its Application in Financial Statement Fraud

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Journal of Systems Science and Information 2024年第2期12卷 212-228页

作者： Xiao LIANG Qiwei XIE Chunyan LUO Liang TANG Yi SUN school of Economics and Management Beijing University of TechnologyBeijing 100124China Shanghai Tongtu Semiconductor Technology Co. LtdShanghai 210203China school of finance Anhui University of Finance&EconomicsBengbu 233000China

Motivated by the Bagging Partial Least Squares(Bagging PLS)and Principal Component Analysis(PCA)algorithms,a novel approach known as Principal Model Analysis(PMA)method is introduced in this *** the proposed PMA algorithm,the PCA and the Bagging PLS are *** this method,multiple PLS models are trained on sub-training sets,derived from the training set using the random sampling with replacement *** regression coefficients of all the sub-PLS models are fused in a joint regression coefficient *** final projection direction is then estimated by performing the PCA on the joint regression coefficient ***,the proposed PMA method is compared with other traditional dimension reduction methods,such as PLS,Bagging PLS,Linear discriminant analysis(LDA)and *** results on six public datasets demonstrate that our proposed method consistently outperforms other approaches in terms of classification performance and exhibits greater ***,it is employed in the application of financial statement fraud *** and other five algorithms are utilized to financial statement fraud which concerned by the academic community,and the results indicate that the classification of PMA surpassed that of the other methods.

关键词： principal model analysis partial least squares principal component analysis dimension reduction ensemble learning financial statement fraud detection

Whose Aid is Beneficial to Firms'Exports?Evidence from a Post-disaster Aid Experiment in China

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China & World Economy 2024年第2期32卷 73-96页

作者： Tan Li Qing Liu Lihe Xu school of International Business Southwestern University of Finance and EconomicsChina school of Economics Renmin University of ChinaChina institute of Studies for the Greater Bay Area Guangdong University of Foreign StudiesChina

Post-disaster aid is widely regarded as important in helping local recovery and *** paper examines the effectiveness of post-disaster aid on exports,which are a driving factor of economic *** reports a natural experiment in China–the case of post-disaster aid following the Wenchuan earthquake in 2008–to examine how donors'experiences affected the exports of manufacturing firms in disaster-stricken *** export experience of the donor was *** coming from donors with more export experience was more beneficial to the exports of firms in recipient counties than aid from less experienced donors.“Learning from the donor”is a potential channel through which this effect *** is,firms in recipient counties learned from donors'export experience by exporting more products similar to those of donors,exporting more to the destination countries of donors,and participating in the donors'supply-chain networks by exporting more of the donors'***“learning from the donor”effects show that knowledge spillover can occur between spatially distant parties,which complements the literature.

关键词： China export knowledge spillover post-disaster aid