| Literature DB >> 32714259 |
Rui Ding1.
Abstract
Start-up companies are confronted with various risks and many uncertainties, and professional auditing can fully analyze start-up companies. In this way, both parties may maximize their interests through auditing the market activities. Based on the characteristics of start-up companies, this study explores the impact of customer psychological prices on audit pricing. The impact of customer psychological prices on audit pricing decisions was systematically analyzed from various angles, thereby determining whether it will affect the development of the product market. The results show that product market dominance reduces the agency costs between the owner and manager of the customer company. In other words, if the customers have greater control over the product market, they will have a lower business risk, and the auditor risk will be reduced accordingly, hence a lower audit fee. In the start-up company market, even if the financing dilemma restricts the survival and development of the company, customers still have psychological expectations for audit pricing. When their psychological price of products is different from the market price of products, it may affect the market advantage of products with lower audit fees, and further expands the previous research. In the market, customers also have certain psychological expectations for "auditing" products. Therefore, strengthening the relationship between auditors' pricing and customers' psychological prices has a positive effect on enhancing the competitiveness of product markets, which also increases the operating efficiency of start-up companies.Entities:
Keywords: audit pricing; customer psychological price; product market; psychological expectations; startup company
Year: 2020 PMID: 32714259 PMCID: PMC7344340 DOI: 10.3389/fpsyg.2020.01562
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
FIGURE 1Tripartite game approach to audit transactions.
Descriptive and correlation statistics.
| 2005 | 845 | 0.144 | 13.067 | ||
| 2006 | 815 | 0.045 | 13.128 | ||
| 2007 | 981 | 0.124 | 13.210 | ||
| 2008 | 1274 | 0.095 | 13.248 | ||
| 2009 | 1357 | 0.126 | 13.291 | ||
| 2010 | 1513 | 0.044 | 13.352 | ||
| 2011 | 1675 | 0.085 | 13.454 | ||
| 2012 | 1983 | 0.008 | 13.611 | ||
| 2013 | 1969 | 0.008 | 13.706 | ||
| 2014 | 1990 | 0.021 | 13.796 | ||
| 2015 | 2087 | 0.015 | 13.868 | ||
| 2016 | 2196 | 0.005 | 13.927 | ||
| 2017 | 2469 | 0.019 | 13.973 | ||
| A | Agriculture, forestry, animal husbandry and fishery | 306 | 0.019 | 13.411 | |
| B | Mining | 669 | 0.046 | 14.010 | |
| C | Manufacturing | 12763 | 0.026 | 13.555 | |
| D | Utilities | 866 | 0.033 | 13.707 | |
| E | Construction | 622 | 0.064 | 13.839 | |
| F | Wholesale and retail | 1533 | 0.095 | 13.641 | |
| G | Transportation | 829 | 0.023 | 13.926 | |
| H | Accommodation and catering | 110 | 0.008 | 13.309 | |
| I | Information tech. | 959 | 0.002 | 13.496 | |
| K | Real estate | 1265 | 0.173 | 13.733 | |
| L | Leasing and business services | 304 | 0.151 | 13.633 | |
| M | Scientific research and polytechnic services | 135 | −0.009 | 13.251 | |
| N | Water conservancy, environment, and public facilities management | 241 | 0.202 | 13.279 | |
| P | Education | 47 | 0.054 | 13.183 | |
| Q | Health and social work | 73 | 0.002 | 13.255 | |
| R | Culture, physical education, and recreation | 212 | 0.043 | 13.831 | |
| S | Others | 220 | 0.052 | 13.465 | |
FIGURE 2Descriptive statistics of the sample distribution of panel A by year.
FIGURE 3Descriptive statistics of the sample distribution of panel B by industry.
Descriptive and correlation statistics of panel A.
| 0.045 | 0.182 | −0.828 | −0.041 | 0.020 | 0.108 | 0.879 | |
| 13.605 | 0.751 | 11.918 | 13.122 | 13.487 | 13.998 | 16.524 | |
| 0.026 | 0.054 | 0.002 | 0.005 | 0.014 | 0.032 | 1.000 | |
| −0.024 | 0.043 | −1.000 | −0.026 | −0.012 | −0.007 | −0.003 | |
| 0.285 | 0.451 | 0 | 0 | 0 | 1.000 | 1.000 | |
| 4.238 | 0.877 | 0 | 3.638 | 4.407 | 4.942 | 5.778 | |
| 0.270 | 0.177 | 0 | 0.136 | 0.244 | 0.370 | 0.976 | |
| 22.026 | 1.299 | 18.865 | 21.110 | 21.874 | 22.774 | 26.240 | |
| 0.474 | 0.215 | 0.044 | 0.311 | 0.475 | 0.630 | 1.467 | |
| 0.100 | 0.301 | 0 | 0 | 0 | 0 | 1.000 | |
| 0.165 | 0.152 | 0 | 0.066 | 0.127 | 0.211 | 0.784 | |
| 0.036 | 0.059 | −0.436 | 0.012 | 0.034 | 0.063 | 0.283 | |
| 0.249 | 0.176 | 0.001 | 0.110 | 0.215 | 0.357 | 0.801 | |
| 0.045 | 0.076 | −0.226 | 0.004 | 0.045 | 0.090 | 0.291 | |
| 3.938 | 4.425 | −15.936 | 1.813 | 2.831 | 4.620 | 61.004 | |
FIGURE 4Descriptive statistics of key variables in panel A.
Descriptive and correlation statistics of panel B.
| – | −0.068*** | 0.054*** | −0.184*** | −0.344*** | 0.031*** | 0.494*** | −0.120*** | 0.240*** | 0.015** | |
| −0.063*** | – | 0.714*** | 0.210*** | −0.044*** | −0.021*** | 0.002 | −0.070*** | 0.020*** | −0.182*** | |
| 0.056*** | 0.763*** | – | 0.368*** | −0.111*** | 0.019*** | –0.001 | −0.023*** | 0.028*** | −0.389*** | |
| −0.160*** | 0.203*** | 0.329*** | – | 0.200*** | 0.226*** | −0.435*** | 0.029*** | −0.170*** | −0.146*** | |
| −0.324*** | −0.046*** | −0.111*** | 0.224*** | − | −0.026*** | −0.520*** | 0.121*** | −0.169*** | 0.019** | |
| 0.108*** | 0.003 | 0.098*** | 0.273*** | −0.033*** | – | −0.094*** | −0.322*** | −0.222*** | –0.011 | |
| 0.416*** | 0.030*** | 0.060*** | −0.410*** | −0.647*** | −0.062*** | – | −0.128*** | 0.374*** | 0.214*** | |
| −0.096*** | −0.027*** | 0.029*** | 0.073*** | 0.125*** | −0.396*** | −0.141*** | – | 0.279*** | −0.149*** | |
| 0.177*** | 0.033*** | 0.029*** | −0.171*** | −0.157*** | −0.248*** | 0.338*** | 0.254*** | – | 0.049*** | |
| −0.079*** | −0.130*** | −0.302*** | –0.007 | 0.091*** | −0.040*** | 0.051*** | −0.096*** | –0.004 | – | |
Subsample regression results of each panel.
| −0.235*** | −0.539*** | ||
| (−3.92) | (−5.41) | ||
| Industry Fixed Effects | YES | YES | |
| Year Fixed Effects | YES | YES | |
| SE clustered by firm | YES | YES | |
| N (firm-years) | 5289 | 5289 | |
| Adjusted | 0.601 | 0.587 | |
| Diff. in coefficients | 0.304*** | ||
| χ2 | 7.11 | ||
| −0.222*** | −0.378*** | ||
| (−7.28) | (−5.19) | ||
| Industry Fixed Effects | YES | YES | |
| Year Fixed Effects | YES | YES | |
| SE clustered by firm | YES | YES | |
| N (firm-years) | 15122 | 6032 | |
| Adjusted | 0.636 | 0.693 | |
| Diff. in coefficients | 0.156** | ||
| χ2 | 4.26 | ||
| −0.235*** | −0.539*** | ||
| (−4.02) | (−5.35) | ||
| Industry Fixed Effects | YES | YES | |
| Year Fixed Effects | YES | YES | |
| SE clustered by firm | YES | YES | |
| N (firm-years) | 5289 | 5289 | |
| Adjusted | 0.598 | 0.587 | |
| Diff. in coefficients | 0.304*** | ||
| χ2 | 6.78 | ||