A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Default or exit? Empirical study on SMEs in the Japanese construction industry
The market size of Japan’s construction industry is decreasing. Preventing several major contractors from controlling the bidding of public works projects requires a certain number of other participants to be involved. Therefore, analysing the factors that affect the defaults or exits of small and medium-sized enterprises (SMEs) can effectively contribute to the stable supply of public services and the fair competition of bids. This research examines the factors affecting the defaults and exits of prime contractors in the public works of SMEs in the Japanese construction industry. Using construction company evaluation (Keiei Jikou Sinsa or Keisin) data in Japan as a basis, the factors are analysed using the multinomial logit model. Some Keisin scores and financial and non-financial performance indicators significantly affect defaults and exits, but the influence of each variable between them differs. In particular, the findings where non-financial performance indicators are able to predict defaults and exits are unique. Consequently, if the data from SMEs are obtained, then the analytical method employed in this study is useful for predicting future exits and defaults.
Default or exit? Empirical study on SMEs in the Japanese construction industry
The market size of Japan’s construction industry is decreasing. Preventing several major contractors from controlling the bidding of public works projects requires a certain number of other participants to be involved. Therefore, analysing the factors that affect the defaults or exits of small and medium-sized enterprises (SMEs) can effectively contribute to the stable supply of public services and the fair competition of bids. This research examines the factors affecting the defaults and exits of prime contractors in the public works of SMEs in the Japanese construction industry. Using construction company evaluation (Keiei Jikou Sinsa or Keisin) data in Japan as a basis, the factors are analysed using the multinomial logit model. Some Keisin scores and financial and non-financial performance indicators significantly affect defaults and exits, but the influence of each variable between them differs. In particular, the findings where non-financial performance indicators are able to predict defaults and exits are unique. Consequently, if the data from SMEs are obtained, then the analytical method employed in this study is useful for predicting future exits and defaults.
Default or exit? Empirical study on SMEs in the Japanese construction industry
Konno, Yukiko (author)
Construction Management and Economics ; 32 ; 1017-1029
2014-10-03
13 pages
Article (Journal)
Electronic Resource
English
Default or exit? Empirical study on SMEs in the Japanese construction industry
| British Library Online Contents | 2014
Default or exit? Empirical study on SMEs in the Japanese construction industry
| British Library Online Contents | 2014
Positive Study on Exit Barrier in Chinese Construction Industry
| British Library Conference Proceedings | 2004
A Grey System Theory in Construction Industry Default Prediction
| British Library Conference Proceedings | 2014
Cloud Computing Usage in SMEs. An Empirical Study Based on SMEs Employees Perceptions
| DOAJ | 2020