FinTech adoption and the effects of economic uncertainty on household consumption

This paper examines how the adoption of FinTech affects household consumption in the presence of economic uncertainty. We use regional-level FinTech adoption and economic uncertainty measurement, along with representative household-level consumption data, to investigate this issue. Our empirical analysis shows that while high levels of economic uncertainty lead to a shift in household consumption from services to non-durable goods, widespread adoption of FinTech overcomes this negative effect and prevents the reduction in service spending. We use the distance of a household from Hangzhou and the economic uncertainty in the United States as proxies for exogenous variation in FinTech adoption and economic uncertainty in China, respectively, and find similar results. Focusing on the transmission channel, we find that FinTech helps alleviate credit constraints, contributes to entrepreneurship and employment opportunities, and thus mitigates the negative impact of economic uncertainty on household consumption.     

Dynamic consistency and monopoly

A wide variety of papers study the time consistency issues and commitment problems associated with imperfectly competitive durable goods manufacturers who sell their output. Using a simple two-period model the authors show that this sort of commitment problem may occur even if the monopolist produces non-durable output. The model assumes consumers maximize their utility through the choice of a non-durable consumption good and saving through an asset that provides future returns and consumption flow. The analysis indicates that non-durable goods manufacturers with market power will wish to announce future prices that are sub-optimal (dynamically inconsistent) when the period is reached due to the impact on consumers' wealth constraint and current purchasing behavior. Thus, the so-called durable-goods monopoly commitment problem may also occur in non-durable goods industries. The model suggests that any type of intertemporal linkage may lead to time consistency and commitment problems for imperfectly competitive firms.     

The Effects of Inflation in a Small Open Economy with Durability in Consumption

This paper explores the dynamic effects of inflation in a small open economy when consumption exhibits certain degree of durability. With labor/leisure choice, and money introduced through a cash-in-advance (CIA) constraint on consumption expenditure, it is demonstrated that higher inflation reduces the steady state level of employment, investment, output and consumption. The country runs a current account surplus, despite the fall in output. Consistent with empirical evidence, durable consumption exhibits initial excess volatility. Numerical calibration shows that the steady state real effects of inflation are very significant in this model.     

Explaining The <Emphasis Type="Italic">Hump</Emphasis> In Life Cycle Consumption profiles

Summary  This paper documents life cycle (or age) profiles of (log) household income, durable and non-durable consumption for Dutch households after explicitly controlling for time (or business cycle) effects and birth cohort effects. We find that both measures of consumption as well as income is clearly hump shaped over the life cycle. Hence, real consumption per household seems to track income over the life cycle. This empirical regularity is hard to reconcile with basic specifications of the life cycle model. We further document life cycle profiles of demographic and labor supply variables. We argue that part, but not all, of the hump in consumption may be explained by household composition variables. Durable consumption per adult equivalent stays approximately flat until age 60 after which it drops dramatically. This phenomenon may be partly explained by a decrease in work related durable expenditures after retirement. Non-durable consumption per equivalent adult increases steadily until age 55 and stays approximately flat after that.      

Robust determinants of growth in Asian developing economies: A Bayesian panel data model averaging approach

This paper investigates the determinants of growth in the Asian developing economies. We use Bayesian model averaging (BMA) in the context of a dynamic panel data growth regression to overcome the uncertainty over the choice of control variables. In addition, we use a Bayesian algorithm to analyze a large number of competing models. Among the explanatory variables, we include a nonlinear function of inflation that allows for threshold effects. We use an unbalanced panel data set of 27 Asian developing countries over the period 1980–2009. Our empirical evidence on the determinants of growth suggests that an economy's investment ratio is positively correlated to growth, whereas government consumption expenditure and terms of trade are negatively correlated. We also find evidence of a nonlinear relationship between inflation and economic growth, that is, inflation impedes economic growth when it exceeds 5.43% but does not have any significant effect on growth below that level.     

Effect of Money Supply on Real Output and Price in China

Over the past 30 years, China has achieved remarkable long-term economic growth. Using quarterly data, we study the effects of money supply on real output and inflation in China between 1993 and 2008. To this end, we use money supply shocks afler filtering out the expected component of the money supply. Our findings provide evidence supporting the asymmetric effect of positive and negative money supply shocks on real output and inflation in China. That is, real GDP growth in China responds to negative money supply shocks but not positive money supply shocks. In addition, inflation responds to positive money supply shocks but not negative money supply shocks. We conclude that the People＇s Bank of China＇ s policy of steady monetary growth appears to be appropriate. Our study offers important policy implications for China.     

环境污染、能源消费与经济增长

在控制了资本和劳动力变量的基础上,构建了多变量VAR模型,考察了1989—2009中国及分区域在环境污染、能源消费和经济增长之间的动态因果关系。结果表明：对全国来说,分别存在从环境污染到经济增长、从环境污染到能源消费以及从能源消费到经济增长的三个单向因果关系。分区域看,东部沿海地区存在从经济增长到能源消费和从环境污染到能源消费的单向因果关系,环境污染和人均实际GDP之间不存在因果关系;中部地区存在从能源消费到经济增长的单向因果关系,环境污染和经济增长之间以及环境污染和能源消费之间存在双向因果关系;西部地区显示能源消费与经济增长之间不存在因果关系,但存在环境污染和能源消费的双向因果关系和从经济增长到环境污染的单向因果关系。此外,实证结果表明能源消费与经济增长关系的假说一中性假说、增长性假说和保护性假说在东部、中部和西部地区依次成立,即支持了本文所构建的基于EKC的环境污染、能源消费与经济增长分析框架。     

Navigating the Impact of Globalization on Bank Efficiency in China

The paper provides for the first time empirical evidence on the impact of economic globalization on bank efficiency in a developing economy. Using the data envelopment analysis method, we compute the efficiency of the Chinese banking sector during 2000–2007. The empirical findings suggest that the inefficiency of the Chinese banking sector stems largely from scale rather than pure technical inefficiencies. Examining different components of economic globalization, we find that greater economic integration through higher trade flows, cultural proximity and political globalization have significant and positive influence on bank efficiency levels. The empirical findings suggest that liberalization (restrictions) of the capital account exerts a negative (positive) influence on bank efficiency levels in China.     

Public and private Investment in Mexico and Chile: An empirical test of the complementarity hypothesis

This paper addresses the important question of whether government investment spending, rather than overall public expenditures, exerts a positive effect on economic growth and productivity. Using time-series data for Chile and Mexico, it estimates a linear growth model that incorporates a number of relevant quantitative and qualitative variables for each country. The empirical results suggest that for both Chile and Mexico, increases in public and private investment spending have a positive and significant effect on the rate of growth in productivity. Moreover, the results for Mexico show that increases in government consumption expenditures have a negative effect on the rate of productivity growth, thus suggesting that the composition of government spending is at least as important as the growth rate of these expenditures in affecting economic growth. From a policy standpoint, these findings call into question the current trend among Latin American countries of indiscriminately reducing public spending because they fall disproportionally on capital expenditures—the type of spending needed to secure the long-term efficiency gains from market-oriented programs.     

New evidence about regional income divergence in China

There are many empirical studies trying to test if there is income convergence across the provinces of China. In this paper, we bring new information to the current literature by applying non-linear panel unit root test of Exponential Smooth Auto-Regressive Augmented Dickey-Fuller (ESTAR-ADF) unit root test developed by Cerrato et al. (2008) to the time series data for the period 1952–2003. The number of converging provinces decreases in the post-reform period when using panel ESTAR-ADF test. Furthermore, our results find evidence of increasing regional disparity that has been prevailing in China since the open door economic reforms of the late 1970s, which confirms the view of Pedroni and Yao (2006) that interprovincial inequalities have been widening since 1978.In addition, we also examine the determinants of conditional convergence in China. The results indicate that low inflation, transport and telecommunication infrastructure, and trade openness could stimulate economic growth in China. Human capital also play a significant role in growth, and it exhibits non-linearity between human capital and growth in the sense that at low levels of human capital the effect on growth is negative and became positive at middle levels.     

The Information Content of the Yield Curve for Monetary Policy: A Survey

The information content of the yield curve with respect to future inflation as well as future real economic activity is discussed. Both theoretical arguments and the empirical validity of these arguments are reviewed. The empirics favouring the yield curve as leading indicator for inflation is not found to be entirely convincing. The curve possesses information content, but it is difficult to empirically discriminate between the effects on real interest rates and future inflation. The yield spread is a stable leading indicator for future real economic activity, but there are several theoretical interpretations of this (positive) relationship, depending on the nature of shocks hitting the economy and the behaviour of prices in the economy. The proper reaction of monetary policy could differ among these interpretations. All in all, care should be taken in using the yield curve as information variable for monetary policy.     

A nonlinear ARDL model of inflation dynamics in the Philippine economy

This study investigated whether global oil price changes, exchange rate, interest rate, and economic output exert symmetric or asymmetric pass-through effects on inflation in the Philippines. A Nonlinear Autoregressive Distributed Lag (NARDL) model was fitted to the observable data using quarterly observations from 1998 to 2019. Knowledge of these relationships is important in monetary policy setting in achieving targeted inflation; the Philippines adopted inflation targeting in 2002. The finding shows that world oil price shocks are still prominent and the most important determinants of inflation variations in the country. There is prima facie evidence on the short-run asymmetry of oil price changes to inflation. Exchange rate pass-through to inflation was very minimal in the short-run, and there is no long-run effect. Evidence that interest rate and demand shocks have a long-run asymmetric effect on inflation was found. These findings imply that monetary policy setting should account for the asymmetric effects of inflation determinants. Study results provide a deeper understanding of how positive and negative changes of inflation determinants affect actual inflation, which aids policymakers in achieving targeted inflation.     

Empirical modeling of Japan’s markup and inflation, 1976–2000

This paper aims to pursue an empirical model of Japan’s markup and inflation using historical time series data covering the last quarter of the 20th century. A multivariate cointegration analysis of Japan’s macroeconomic data indicates the existence of a long-run economic linkage, which is interpreted as an empirical representation of countercyclical markup. A set of variables in the cointegrated system, apart from markup and inflation, are judged to be weakly exogenous for parameters of interest, thereby allowing us to estimate a partial model given these exogenous variables. The model reduction is then conducted so as to achieve a parsimonious representation of countercyclical markup and inflation dynamics over the sample period of interest.     

Understanding the inflation–output nexus for China

In this article we examine several hypotheses relating to output and inflation dynamics in China. The hypotheses tests are based on the exponential generalised autoregressive conditional heteroskedasticity (EGARCH) model of Nelson [Nelson, D. (1991). Conditional heteroskedasticity in asset return: A new approach, Econometrica, 59, 347–370]. Our findings suggest that Chinese output–inflation behaviour is consistent with the hypothesis that increased inflation uncertainty lowers average inflation; the hypothesis that inflation volatility reduces economic growth and the hypothesis that higher output volatility increases economic growth. However, we find no support for the hypothesis that higher output volatility increases the average inflation rate.     

A Meta‐Analysis of the Investment‐Uncertainty Relationship

In this article we use meta‐analysis to investigate the investment‐uncertainty relationship. We focus on the direction and statistical significance of empirical estimates. Specifically, we estimate an ordered probit model and transform the estimated coefficients into marginal effects to reflect the changes in the probability of finding a significantly negative estimate, an insignificant estimate, or a significantly positive estimate. Exploratory data analysis shows that there is little empirical evidence for a positive relationship. The regression results suggest that the source of uncertainty, the level of data aggregation, the underlying model specification, and differences between short‐ and long‐run effects are important sources of variation in study outcomes. These findings are, by and large, robust to the introduction of a trend variable to capture publication trends in the literature. The probability of finding a significantly negative relationship is higher in more recently published studies.     

中印石油消费的动态影响因素比较分析

利用中国与印度1970-2009年的实证数据,运用VAR模型,Johansen协整检验和向量误差修正模型等方法,首次对两国的石油价格、经济增长、人口等因素与石油消费的长期关系及短期动态影响进行了比较分析。结果显示:长期中,石油价格与石油消费的弹性关系,印度表现为负,而在中国为正;经济增长对石油消费的影响,中国大于印度;人口对石油消费的影响,印度大于中国。短期中,印度的经济增长和人口对石油消费的影响更显著,石油价格对两国石油消费的影响程度相似。     

收入分布、厂商定价与耐用品的消费扩张

本文考察了收入差距对耐用消费品消费的影响。我们从厂商的定价理论出发。说明了收入差距对耐用消费品消费呈现出倒U型的影响：随着收入差距扩大，耐用消费品的消费量增加，但是，收入差距继续扩大则会减少耐用消费品的消费。这说明，适当的收入差距有利于社会消费水平提高和经济的发展，过大和过小的收入差距都无助于经济的起飞。我们最后运用城镇居民和农村居民彩电、洗衣机和冰箱的拥有量对该理论进行了实证检验，实证检验结果基本上支持了我们的理论分析。     

Dynamic Comovements Between Housing and Oil Markets in the US over 1859 to 2013: a Note

In this study, we examine the dynamic comovements between housing and oil market returns in the United States over the period 1859–2013, while controlling for real gross domestic product growth, inflation, interest rates, and real stock, gold and silver returns that are known to affect both these markets. As such, we provide a bird’s-eye view on the interdependencies between these two markets from a historical perspective. The results of our empirical analysis reveal that comovements between housing and oil market returns are consistently negative over time, apart from several recessions the U.S. economy experienced in the 19th century, wherein correlations were positive.     

Asymmetric effects of inflation shocks on inflation uncertainty

The empirically documented regularity that dis-inflationary shocks are associated with larger output changes than are positive shocks presents an interesting puzzle to macroeconomists. This paper presents, and empirically supports, a new explanation for this asymmetry. The authors show, using a TARCH model, that negative inflationary shocks result in greater inflation uncertainty than positive shocks. As Friedman [1977] argues, and a body of empirical evidence demonstrates, inflation uncertainty leads to lower output growth. Drawing on this explanation, this essay points to an avenue by which the output asymmetry of inflationary shocks can be explained.     

责任不清的产品伤害危机中良好品牌声誉的作用分析与实证

责任不清的产品伤害危机中,原有良好品牌声誉能够发挥保护作用,削弱危机的负面影响。基于反说服过程模型和归因理论,作用机制包括三方面:信息接受过程,增加了消费者对信息可靠性的质疑;信息评估过程,影响消费者对原因属性认知倾向于无责性、非故意性和偶然性;信息影响过程,通过抑制负面信息的外溢效应,保护企业内部其他类产品安全性不受质疑。最终,在耐用和非耐用两类产品的情景模拟实验中检验证实:原有良好品牌声誉通过降低信息可靠性、责任归因、稳定性归因和抑制危机负面溢出效应发挥了保护作用,而意图性归因未发挥中介作用。