Determining optimal meeting frequency
A bargaining solution to improve a poorly functioning PPP industry under budget constraints
Bibliographic Data
| ID | 15068433 |
|---|---|
| Authors | Saisomphorn Larhsoukanh (0000-0003-3521-9187, Southwest Jiaotong University, corresponding author), Chengzhang Wang (0000-0002-2967-5066, Southwest Jiaotong University) |
| Year | 2019 |
| Volume | 32 |
| Issue | 1 |
| Pages | 2568-2583 |
| Publication date | 2019-01-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Economic Research-Ekonomska Istraživanja (JOURNAL) |
| Journal identifiers | ISSN: 1331-677X • E-ISSN: 1848-9664 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/1331677x.2019.1651666 |
| OpenAlex | W2969265895 |
| Language | EN |
| References cited | 30 |
This study uniquely addresses declining business profitability because of a lack of coordinated meetings between the public and private sectors. We determine optimal meeting frequency (i.e., the highest number of regularly scheduled meetings of the Standing Committee of the inter-agency coordination per year at which profit can be maximised) for poorly functioning public–private partnership (PPP) industries (i.e., their average return on assets or ROA < 0). The tourism industry in emerging countries such as Laos provides an example of a PPP. Using two-person Nash bargaining theory and given budget constraints, we find that the government should conduct bimonthly meetings to improve PPP industry competitiveness. We believe that our study makes a significant contribution to the literature because few emerging studies use mathematical models to address the problem of public and private sector meeting frequency and collaboration
Budget constraint · Business · Economic growth · Economics · Economy · General partnership · Industrial organization · Microeconomics · Private sector · Profitability index · Public sector · Public–private partnership · Tourism · Auction Theory and Applications · Public-Private Partnership Projects · Transportation Planning and Optimization · Finance
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| Highly cited | No |
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