Culture,Attitudes, and Media Patterns in China,Taiwan, and the U.S.: Balancing Standardization and Localization Decisions

ABSTRACT

A study was undertaken to examine cultural orientations, attitudes toward advertising, and media use patterns across China, Taiwan, and the United States. China and Taiwan share similar cultural backgrounds, yet their economies and advertising industries have evolved quite differently due to different social and political settings. The United States was included to provide a point of comparison. Understanding media patterns, cultural orientations, and attitudes can help better ascertain the potential for using standardized strategies by international advertisers across different markets. Industry and consumer trends in evolving markets can also be monitored. Consumers in China and Taiwan were found to be more similar than different. For example, consumers in both markets were less individualistic and more collectivistic than their counterparts in the U.S. They also exhibited more favorable attitudes toward advertising than American consumers. Furthermore, Chinese and Taiwanese respondents spent significantly more time with print media than American respondents. Implications of the findings for balancing standardization and localization decisions are discussed.     

Effect of Approved Destination Status on Mainland Chinese Travel Abroad

Approved Destination Status (ADS) agreements facilitate international leisure travel by Chinese citizens, allowing authorized travel agencies to offer group tour arrangements, including visa applications. The number of destinations with ADS agreements increased from 2 in 1983 to 114 in 2012. Using panel data for Chinese visitor arrivals in 58 countries from 1985 to 2005, we estimate a semi‐parametric matched difference‐in‐differences model of the impact of ADS on overseas departures from mainland China. Treatment with ADS increased Chinese visitor arrivals in the 3‐year period following ADS designation by more than 10 percent annually, with results varying substantially across countries.     

Poverty identification: practice and policy implications in Vietnam

To identify poor households, the government of Vietnam applies a combination of proxy means tests and quick collection of income data. This paper examines how well the government's poverty identification reaches the really poor in Vietnam. It is found that there is a large difference between the poverty rate for provinces and districts reported by the government and the rates estimated using expenditure and income data from independent household surveys. There is also a large difference between the poverty status of households identified by local authorities and the poverty status identified by income or expenditure data. More than 50 per cent of the poor households identified by local authorities are not poor in terms of income or expenditure measures. A better identification approach would be to use only proxy means tests and not income data collected using the simple questionnaire.     

An Evaluation of Inertia Models of Unemployment

Two approaches have been used to model unemployment. The first, conventional, approach involves linking the unemployment outcome to observed indices of productivity, structural factors and discrimination such as educational attainment, location and birthplace. The second approach, the inertia model, involves using a person's labour market history as a way of including in unemployment models information on the 'unobservables' that influence employability. This paper evaluates the performance of both models of unemployment. The results provide unambiguous support for the inertia model when modelling unemployment. The inertia model has higher explanatory power, higher within-sample prediction rate success and fewer out-of-sample forecasting errors than the conventional model. The estimates from the inertia model can be used to provide quite accurate predictions of the risk of becoming unemployed. This is important if individuals at high risk of becoming unemployed are to be targeted for labour market assistance.     

Unemployment or credit: Which one holds the potential? Results for a small open economy with a low degree of financialization

This paper investigates the relative importance of unemployment versus credit in determining the potential level of real activity for a small open economy with a low degree of financialization. We use a multivariate unobserved component model (MUC) to derive the potential output and the associated output gap for the Lithuanian economy. The model is estimated via Bayesian methods and the time paths of unobserved variables are extracted via the Kalman filter. The inclusion of unemployment in the MUC model substantially improves the estimates of the output gap in real time. Adding information about credit further emphasizes the overheating of the economy in the pre-crisis period, both in real time and ex post. Including credit preserves the conclusions regarding turning points. We uncover a strong negative correlation between the model-implied unemployment gap (without accounting for credit) and real credit growth. Data revisions do not appear to be the primary source of revisions of output gap estimates.     

A global analysis of factors impacting the intensive and extensive margins of bilateral foreign direct investment

This study investigates determinants of bilateral foreign direct investment (FDI) on both margins, the extensive margin (whether to invest) and the intensive margin (how much to invest), based on the recent structural gravity model for FDI developed by Anderson et al. (Trade and investment in the global economy. National Bureau of Economic Research, Cambridge, MA, 2017). I examine a global data set comprised of 110 countries over 9 years, 2004–12. Apart from conventional gravity variables, the source country's technology capital shows a significant and positive impact on both FDI margins. Bilateral investment treaties play a significant role only in determining the extensive margin. Results on FDI stocks and FDI flows can lead to different conclusions; thus, research should consult both types of data series to find which variables have robust effects. Furthermore, breaking down the sample by country development levels reveals that FDI from less‐developed countries (LDCs) is not affected by many common variables, and thus, there is a need to develop more theories and empirical work to investigate the FDI from LDCs in particular.     

Team innovation in retail services: the role of ambidextrous leadership and team learning

Service Business - Drawing upon the ambidextrous leadership theory for innovation, this study investigates the role of opening and closing leadership behaviors in both exploratory and exploitative...     

DATA GAPS,DATA INCOMPARABILITY,AND DATA IMPUTATION: A REVIEW OF POVERTY MEASUREMENT METHODS FOR DATA‐SCARCE ENVIRONMENTS

Questions that often come up in contexts where household consumption data are unavailable or missing include: what are the best existing methods to obtain poverty estimates at a single snapshot in time? and over time? and what are the best available methods to study poverty dynamics? A variety of different techniques have been developed to tackle these questions, but unfortunately, they are presented in different forms and lack unified terminology. We offer a review of poverty imputation methods that address contexts ranging from completely missing and partially missing consumption data in cross‐sectional household surveys, to missing panel household data. We present the various existing methods under a common framework, with pedagogical discussion on their intuition. Empirical illustrations are provided using several rounds of household survey data from Vietnam. Furthermore, we also offer a practical guide with detailed instructions on computer programs that can be used to implement the reviewed techniques.     

Invoice currency choice,nonlinearities and exchange rate pass-through

ABSTRACT

Estimating time-varying thresholds as a proxy for exporter’s predicted exchange rates, this study proposes a new approach to analyse possible asymmetric behaviour of exchange rate pass-through (ERPT) or pricing-to-market (PTM) in Japanese exports between yen appreciation and depreciation periods. Constructing the industry-specific nominal effective exchange rate on a contract (invoice) currency basis, we perform the multivariate threshold near-vector autoregressive (near-MTVAR) estimation and reveal a strong tendency of symmetric ERPT in the short-run, between yen appreciation and depreciation periods. From the 2000s, however, Japanese machinery exporters increased the degree of PTM even in the long-run, while other industries raised the degree of long-run ERPT, reflecting the difference of product differentiation across industries. This evidence has significant implications for the recent unresponsiveness of the Japanese trade balance to the large depreciation of the yen.