INFLUENCE ANALYSIS IN NONLINEAR MODELS WITH RANDOM EFFECTS

In this paper,a unified diagnostic method for the nonlinear models with random effects based upon the joint likelihood given by Robinson in 1991 is presented.It is shown that the case deletion model is equivalent to the mean shift outlier model.From this point of view,several diagnostic measures,such as Cook distance,score statistics are derived.The local influence measure of Cook is also presented. A numerical example illustrates that the method is available.

The impact of Internet access on household dietary quality:Evidence from rural China

Over the past few decades,the Internet has rapidly diffused across China.The spread of the Internet has had a profound economic and social impact on Chinese rural areas.Existing research shows that Internet access significantly impacts agricultural production and improves smallholder farmers’income.Beyond these,the Internet can affect other dimensions of social welfare.However,research about the impact of Internet access on dietary quality in rural China remains scarce.This study utilizes multi-period panel data from Fixed Observation Point in rural China from 2009 to 2015 to estimate the impact of Internet access on dietary quality and food consumption of rural households and conducts a causal analysis.Regression models with time and household fixed effects allow robust estimation while reducing potential issues of unobserved heterogeneity.The estimates show that Internet access has significantly increased rural household dietary quality(measured by the Chinese Diet Balance Index).Further research finds that Internet access has increased the consumption of animal products,such as aquatic and dairy products.We also examine the underlying mechanisms.Internet access improves dietary quality and food consumption mainly through increasing household income and food expenditure.These results encourage the promotion of Internet access as a valuable tool for nutritional improvements,especially in rural areas.

An Empirical Study on the Effectiveness of Technology Market Promoting Technological Innovation Capability—Based on panel data in the Yangtze River Delta

Based on panel data such as 2009-2018 R&D expenditures,full-time equivalent of R&D personnel,Number of valid invention patents,and technology market turnover in China's Shanghai,Jiangsu,Zhejiang,and Anhui provinces(cities),using Griliches-Jaffe knowledge to produce Function,construct Time fixed effects model,conduct empirical research on the main factors affecting the technological innovation capability of the Yangtze River Delta,focusing on the relationship between the technological market and technological innovation capability.The results show that human capital and R&D expenditures have a significant and positive impact on the technological innovation capacity of the Yangtze River Delta.Although the technology market has a positive effect on the scientific and technological innovation capacity of the Yangtze River Delta,the effect is not significant.Propose countermeasures and suggestions to strengthen the influence of the technology market on technological innovation.

Acupuncture and vitamin B_(12) injection for Bell's palsy:no high-quality evidence exists

OBJECTIVE： To assess the efficacy of acupuncture combined with vitamin B12 acupoint injection versus acupuncture alone to reduce incomplete recovery in patients with Bell＇s palsy. DATA RETRIEVAL： A computer-based online retrieval of Medline, Web of Science, CNKI, CBM databases until April 2014 was performed for relevant trials, using the key words ＂Bell＇s palsy or idiopathic facial palsy or facial palsy＂ and＂acupuncture or vitamin B12 or methylcobalamin＂. STUDY SELECTION： All randomized controlled trials that compared acupuncture with acupuncture combined with vitamin B12 in patients with Bell＇s palsy were included in the me- ta-analysis. The initial treatment lasted for at least 4 weeks. The outcomes of incomplete facial recovery were monitored. The scoring index varied and the definition of healing was consistent. The combined effect size was calculated by using relative risk （RR） with 95% confidence interval （C/） using the fixed effect model of Review Manager. MAIN OUTCOME MEASURES： Incomplete recovery rates were chosen as the primary outcome. RESULTS： Five studies involving 344 patients were included in the final analysis. Results showed that the incomplete recovery rate of Bell＇s palsy patients was 44.50% in the acupuncture combined with vitamin B12 group but 62.57% in the acupuncture alone group. The major acupoints were Taiyang （EX-HN5）, Jiache （ST6）, Dicang （ST4） and Sibai （ST2）. The combined effect size showed that acupuncture combined with vitamin B12 was better than acupuncture alone for the treatment of Belrs palsy （RR = 0.71, 95%CI： 0.58-0.87; P = 0.001）, this result held true when 8 patients lost to follow up in one study were included into the analyses （RR = 0.70, 95%CI： 0.58-0.86; P = 0.0005）. In the subgroup analyses, the therapeutic effect in patients of the electroacupuncture subgroup was better than in the non-electroacupuncture subgroup （P = 0.024）. There was no significant dif- ference in the incomplete recovery rate by subgroup analysis on drug types and treatment period. Most of the included studies were moderate or low quality, and bias existed. CONCLUSION： In patients with Bell＇s palsy, acupuncture combined with vitamin 812 can reduce the risk of incomplete recovery compared with acupuncture alone in our meta-analysis. Because of study bias and methodological limitations, this conclusion is uncertain and the clinical appli- cation of acupuncture combined with vitamin B12 requires further exploration.

Empirical Analysis of the Impact of Urbanization Development on Food Production

In order to clarify the impact of urbanization development on food production,based on panel data from 31 provinces(municipalities,autonomous regions)in China from 2005 to 2015,using a fixed effect model,the paper found that the urbanization rate has a negative impact on per capita food production,and finally made the related policy recommendations.The above research is of significance for promoting the development of urbanization and ensuring food security.

Digital finance and renewable energy consumption:evidence from China

While digital finance and renewable energy consumption(REC)are two timely issues,it remains unclear whether the former affects the latter,especially in developing economies.This paper examines the impact of digital finance on China’s REC between 2011 and 2018 and explores the underlying mechanisms.Results show that digital finance,along with its coverage breadth and usage depth,significantly improved REC in China and that digital finance in the area of credit has had the most significant impact.Additionally,the results show that loan scale and income level are the main mediation variables,through which digital finance affects REC.The findings also suggest that economic growth and technological progress have increased REC in China,while carbon dioxide emissions have had no meaningful effect on this consumption.The results further indicate that policymakers must pay close attention to the role of digital finance when formulating policies on REC.To promote REC and environmental sustainability,developing economies like China should strengthen the breadth and depth of digital finance development,focus on the influence channels of digital finance,and promote economic growth and technological progress.

Efficient Estimation and Variable Selection in Dynamic Panel Data Partially Linear Varying Coefficient Models with Incidental Parameter

This paper is concerned with the statistical inference of partially linear varying coefficient dynamic panel data model with incidental parameter, including efficient estimation of the parametric and nonparametric components and consistent determination of the lagged order. For the parametric component, we propose an efficient semiparametric generalized method-of-moments（GMM） estimator and establish its asymptotic normality. For the nonparametric component, B-spline series approximation is employed to estimate the unknown coefficient functions, which are shown to achieve the optimal nonparametric convergence rate. A consistent estimator of the variance of error component is also constructed. In addition, by using the smooth-threshold GMM estimating equations, we propose a variable selection method to identify the significant order of lagged terms automatically and remove the irrelevant regressors by setting their coefficient to zeros. As a result, it can consistently determine the true lagged order and specify the significant exogenous variables. Further studies show that the resulting estimator has the same asymptotic properties as if the true lagged order and significant regressors were known prior, i.e., achieving the oracle property. Numerical experiments are conducted to evaluate the finite sample performance of our procedures. An example of application is also illustrated.

Can Increasing Teachers’Teaching Autonomy Help Improve Instructional Quality?-Based on the Results of TALIS 2018

Teaching autonomy is an important power of teachers as professionals and also a key factor affecting instructional quality.Based on the relevant data of the Teaching and Learning International Survey(TALIS)2018,this study analyzes teachers’teaching autonomy and its effect on instructional quality.It finds that,firstly,as compared to those in the countries of the Organization for Economic Co-operation and Development(OECD),teachers in Shanghai,China,have greater teaching autonomy,but there is still room for improvement in this regard.They have sufficient autonomy in determining the instructional content and disciplining students,but not in assessing students’learning.Secondly,increasing the teaching autonomy in Shanghai can significantly improve instructional quality.Increasing their autonomy in assessing students’learning has the greatest effect on improving instructional quality,while increasing the autonomy in choosing teaching methods has the least effect,which is culturally different from the situation in OECD countries.Thirdly,the influence of teaching autonomy on instructional quality is positively moderated by teaching efficacy,which means that teachers need to have the“ability”in addition to the“autonomy.”Based on this,suggestions are also made.

邻里效应对中国自然保护区家庭参与生态系统服务付费项目的影响--方法研究

Payments for Ecosystem Services(PES)programs have been implemented in both developing and developed countries to conserve ecosystems and the vital services they provide.These programs also often seek to maintain or improve the economic wellbeing of the populations living in the corresponding(usually rural)areas.Previous studies suggest that PES policy design,presence or absence of concurrent PES programs,and a variety of socioeconomic and demographic factors can influence decisions of households to participate or not in the PES program.However,neighborhood impacts on household participation in PES have rarely been addressed.This study explores potential neighborhood effects on villagers'enrollment in the Grain-to-Green Program(GTGP),one of the largest PES programs in the world,using data from China's Fanjingshan National Nature Reserve.We utilize a fixed effects logistic regression model in combination with the eigenvector spatial filtering(ESF)method to explore whether neighborhood size affects household enrollment in GTGP.By comparing the results with and without ESF,we find that the ESF method can help account for spatial autocorrelation properly and reveal neighborhood impacts that are otherwise hidden,including the effects of area of forest enrolled in a concurrent PES program,gender and household size.The method can thus uncover mechanisms previously undetected due to not taking into account neighborhood impacts and thus provides an additional way to account for neighborhood impacts in PES programs and other studies.