Factors influencing consumers' purchase decision-making in O2O business model: Evidence from consumers' overall evaluation

Online-to-offline (O2O) has become a rapidly growing e-commerce model worldwide, but the factors influencing consumers' purchase decision-making have not been examined well. After exploring the working mechanism of the O2O model, we extract eleven indexes of consumers' overall evaluation in the O2O model with Crawlzilla and R techniques. Social network analysis (SNA) is adopted to build social networks reflecting consumers' overall evaluation in the O2O model. Based on the modified social network and the extracted subgraph, this study (N = 768) reveals consumers' overall evaluation behavior patterns in the O2O model by calculating network density, central potential, edge betweenness. The results show that shoppers overall evaluate the eleven indexes, especially perceived product quality, online product price, promotion intensity, business reputation, and product brand, which reflects the significant associations between the indexes. Among all the eleven evaluation indexes, perceived product quality, online product price, and business reputation dominate consumers’ decision-making behavior. When making purchase decisions, consumers not only overall consider online product price, perceived product quality, and business reputation but also balance perceived product quality, business reputation, and promotion intensity. Finally, we make some suggestions on marketing strategy for e-commerce companies.     

Analysis of Bitcoin prices using market and sentiment variables

This paper proposes an empirical model for analysing the dynamics of Bitcoin prices. To do this, we consider a vector error correction model over two overlapping periods: 2010–17 and 2010–19. Price discovery is achieved through the Gonzalo–Granger permanent‐transitory decomposition. The pricing factors are endogenous linear combinations of the S&P 500 index, gold price, a Google search variable associated to Bitcoin and a fear index proxied by the FED Financial Stress Index. Our empirical analysis shows that during the first period, a linear combination of four pricing factors describes the efficient Bitcoin price. The S&P 500 index and Google searches have a positive effect whereas gold prices and the fear index have a negative effect. In contrast, during the second period, the efficient price behaves idiosyncratically and can be only rationalised by individuals' search for information on the cryptocurrency. These findings provide empirical evidence on the presence of a correction in Bitcoin prices during the period 2018–19 uncorrelated to market fundamentals. We also show that standard empirical asset pricing models perform poorly for explaining Bitcoin prices.     

Agricultural productivity growth in Latin America and the Caribbean: an analysis of climatic effects,catch‐up and convergence*

This paper investigates whether climatic adjusted total factor productivity (CATFP) in Latin America and the Caribbean (LAC) is converging, converging to different steady states or exhibit absolute convergence, that is the process does not require (government) interventions to reach its equilibrium path. We use data from the University of East Anglia’s Climatic Research Unit and from the Food and Agriculture Organization for 28 LAC countries over a 54‐year period (1961–2014) to estimate random parameters stochastic production frontier models to calculate CATFP and then use cross‐sectional regressions and an error correction model to analyse CATFP convergence across countries in the region. The results show that technological progress is the main driver of CATFP growth in the region and there is no absolute convergence, that is CATFP gaps across countries will not decrease over time and least performing countries will not grow faster than better performing ones without targeted policies. However, CATFP across LAC exhibits conditional convergence towards different steady states. Technological progress plays a critical role in raising the steady state level of CATFP with an overall average of 2.22 per cent per annum.     

Sentiment-scaled CAPM and market mispricing

This study explores the conditional version of the capital asset pricing model on sentiment to provide a behavioural intuition behind the value premium and market mispricing. We find betas (β) and the market risk premium to vary over time across different sentiment indices and portfolios. More importantly, the state β derived from this sentiment-scaled model provides a behavioural explanation of the value premium and a set of anomalies driven by mispricing. Different from the static β–return relation that gives a flat security market line, we document upward security market lines when plotting portfolio returns against their state βs and portfolios with higher state βs earn higher returns.     

Government support and bank performance during the 2007–2008 financial crisis

Though previous studies suggest a state participation has a negative impact on banks, this paper highlights the potential benefits of state ownership for confidence and stability in the post-crisis period that can outweigh the inefficiencies and potential for corruption of political intervention. We find that the state guarantees are valuable during the crisis. The negative (positive) relation between state ownership and bank profitability (risk) is mitigated in the post-crisis period. Financially troubled banks that receive a transfer payment or capital injection experience improved performance during the post-bailout period.     

农业企业采纳大数据技术影响因素研究——基于ISM模型的实证分析

为提升大数据技术在农业领域的应用深度与广度,进一步挖掘农业数据资源,推动农业供给侧改革。基于189份农业企业调研数据,运用ISM模型,分析了农业企业采纳大数据技术影响因素及其关联关系与递阶层次结构。提出加大技术的研发力度,提高核心设备和技术的自主知识产权水平,加强大数据技术产业协作,培养企业数据管理意识与大数据技术型人才,加强大数据技术公共示范工程的宣传作用等对策建议。     

基于WSR的区域排水权分配影响因素研究

为了进一步减少防洪损失、解决区域排水纠纷问题,在界定排水权内涵的基础上,研究得出排水权具有强制性、排他性、可交易性、可变性和紧迫性。利用WSR系统方法论构建了排水权分配的WSR分析框架,认为排水权的分配受物理因素、事理因素和人理因素的影响,并分析了多种因素在分配过程中的角色,进一步构建了排水权分配影响因素的指标体系。研究有利于实现排水权有效配置驱动因素的系统化、层次化梳理,为实现排水权的合理分配与防洪决策的进一步优化提供有效依据,对于保障防洪安全、实现社会公平与区域均衡发展具有重要的支撑作用。     

资本要素市场化改革、对外直接投资与技术创新绩效

对外直接投资对母国产业的技术创新具有反哺促进效应,但同时受资本要素市场扭曲的调节作用影响。本文运用2003~2016年的面板数据,设定双因素基准模型并进行东、中、西部地区分样本回归以检验资本要素市场扭曲对OFDI的技术创新的调节作用。结果发现:OFDI通过逆向技术溢出促进了母国的企业技术创新绩效。同时,资本要素市场扭曲抑制了OFDI反哺技术创新绩效的正向作用,且资本要素市场扭曲对OFDI的技术创新的调节效应存在地区差异性。因此,深化要素市场化改革,调整对外直接投资结构和优化营商环境,是实现OFDI协调发展以推动技术创新绩效提升的有效途径。     

政府补贴促进制造业企业研发投入了吗?——基于资本结构的门槛效应研究

本文以2016~2018年沪深股市的制造业上市公司为研究样本,通过建立门槛效应模型,验证了政府补贴与企业研发投入的作用关系会随着资本结构的变化而变化。研究发现,政府补贴能够促进企业研发投入,并且在资本结构的调节作用下呈现三重门槛效应。进一步研究还发现,政府补贴对非国有企业研发投入的影响系数更高。因此,政府研发补贴政策需要综合考虑企业资金状况、企业性质,建立有效甄别机制,实施差异化补贴策略,加大对非国企补贴力度,拓宽中小企业融资渠道。     

Do housing prices promote total factor productivity? Evidence from spatial panel data models in explaining the mediating role of population density

The issue of what to promote in total factor productivity (TFP) in urban areas has been widely discussed in academia and housing prices and population density are confirmed to be two of the most essential driving factors. However, research into the interaction of housing prices and population density with TFP has been neglected, with no previous studies taking spatial factors into consideration, which may bias the results. From this perspective, using spatial panel data models and employing instrumental variables to solve the endogenous problem, this study examines the impact of housing prices on TFP through the mediating effect of population density for 283 Chinese cities during the period 2000–2013, and confirms that the mediating effect accounts for 18.70 % of the total effect. The results show the positive and significant association of housing prices with TFP and the inverted U-shape of population density. The underlying logic is that housing prices change population density by attracting people with high purchasing power and discouraging those unable to afford housing, whereas increased density helps to promote productivity since the settled inhabitants always have highly developed work skills and are well educated. The influencing mechanism of housing prices on TFP through population density is analyzed, namely the spillover effect. We find that the spillover effect exists in the eastern and central regions, as well as first, second, and third tier cities, while for western regions and fifth tier cities, population mobility and increased in housing prices slows their economic development. There is no evidence of any spillover effect in fourth tier cities. A discussion and suggested policy implications are also provided.