Determinants of persistence in innovation of electronics enterprise in Ho Chi Minh city

This study analyzes the factors affecting the persistence in innovation of enterprises in electronics industry in Ho Chi Minh City using DPM (Dynamic Probit Model) with MLE (Maximum Likelihood Estimation) and CML (Conditional Maximum Likelihood) estimation method. Data are collected from annual enterprise surveys in the period between 2007 and 2013 by GSO. The results show that firm size and foreign ownership affect the persistent innovation of the electronic enterprises in Ho Chi Minh City. This indicates that enterprises in the electronic industry in the upcoming time need to strengthen and enhance size, attract foreign investment to facilitate this innovation performance for the stable and sustainable development

Persistence in generating and adopting product innovations

Purpose The purpose of this paper is to test the existence of true persistence in the generation and adoption of product innovations in the context of a developing country. Design/methodology/approach A dynamic probit model with random effects is used to test true persistence relying on a panel data set constructed from three waves of the Colombian innovation survey (Encuesta de Desarrollo e Innvovación Tecnológica) covering the time span from 2003 to 2008. Findings This paper empirically shows the existence of true innovation persistence for two of the three types of product innovation studied: the adoption of product innovation that is new to the firm; and the adoption of product innovation that is new to the national market. However, the study could not confirm true persistence in the generation of product innovation. Originality/value To the best of our knowledge, this is the first study that systematically tests innovation persistence differentiating between the adoption of innovations that are new to the firm and innovation that is new to the national market. It is also the first study in this research area that uses a dynamic probit model with random effects according to the original specification by Wooldridge (2005).

The Explanatory Power Of The Yield Curve In Predicting Recessions In South Africa

The term structure of interest rates, particularly the term spreaddetermined from the difference between ten-year government bond yields andthree-month Treasury bill yields, has received increased attention as avaluable forecasting tool for the purposes of monetary policy and recessionforecasting. This is on the back of the observed positive relationship betweenterm spread and economic activity. Moreover, the term spread has been observedto invert prior to the occurrence of economic recessions both in developed anddeveloping countries.This study investigated the forecasting ability of the South African(S.A.) term spread in predicting S.A. recessions, taking into account therecent global economic recession. The motivation is due to the forecastingconsistencies illustrated by the term spread in providing statisticallyincorrect signals of recession in 2003, which did not transit into reality. Itimplied a weak relationship between the S.A. term spread and economic activity.Moreover, based on observations from the literature that term spreads andeconomic activities across countries are correlated, the term spreads of China,United States (U.S.) and Germany were investigated and compared to the S.A.term spread to determine which better forecasts S.A. recessions. The studyemployed the Dynamic Probit Model since it is considered to provide a betterpredictive edge over the Traditional Static Probit model.The findings revealed that the S.A. term spread accurately predicted allthe S.A recessions since 1980; Chinese term spread accurately predicted the1996 and 2008 S.A recessions; U.S. term spread predicted some recessions; whileGerman term spread predictions were counter-cyclical.