| Literature DB >> 35668983 |
Bin Zhong1, Wei Ni Soh1, Tze San Ong1, Haslinah Bt Muhammad1, Chun Xi He1.
Abstract
With the development of economic globalization and the policy guidance of International Financial Reporting Standards (IFRS), the overseas investment of Chinese enterprises has been greatly affected. To study the overseas investment risks of Chinese enterprises, this paper applies a risk analysis model to summarize and analyze the results of overseas investment of Haier from 2008 to 2020. This paper defines the risk analysis model as risk identification, risk assessment, and risk response, and studies overseas investment risks including political, economic, cultural, legal, cost, epidemic, and business risks. (1) The existence of various risks is identified in the company's overseas investment projects; (2). The overseas investment risks of Haier are evaluated, through a comprehensive evaluation method combining qualitative and quantitative, financial data, and market response; (3). In view of the deficiencies of the existing risk prevention measures in the overseas investment of enterprises, some reasonable suggestions are purposed. The innovation of this paper are: This paper combines IFRS 9, IFRS 15, and IFRS 16, selects theories, and combines cases to evaluate the risks of overseas investment that are difficult to quantify, and analyzes the risks of overseas investment by Z-value models and market effects. This research method has pertinence and applicability to enterprises investing overseas.Entities:
Keywords: international financial reporting standards; market effect; overseas investment; risk analysis model; risk assessment
Year: 2022 PMID: 35668983 PMCID: PMC9165716 DOI: 10.3389/fpsyg.2022.889670
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
Cost analysis of Haier.
| Year | Cost item | |
|---|---|---|
| Raw materials | Direct labor | |
| 2019 | 7,625,896.27 | 614,318.47 |
| Share of total cost % | 85.97 | 6.93 |
| 2018 | 5,450,795.44 | 406,834.63 |
| Share of total cost % | 85.92 | 6.41 |
| Changes in the same period | 39.90 | 51.10 |
Data source: Haier group annual report compilation. Unit: 10,000 yuan.
Changes of minimum monthly salary standards in some Southeast Asian countries.
| Nation | 2020 salary standard (monthly salary) | Gain |
|---|---|---|
| Cambodia | 170 | 11% |
| Thailand | 224.02 | 3% |
| Myanmar | 105 | 28% |
| Malaysia | 237 | 11% |
Data source: Sina finance data. Unit: Dollar.
North American market steel price list in March.
| Time | Hot roll | Cold plate | Plate | Rebar | |
|---|---|---|---|---|---|
| North American steel mills | Beginning of the month | 789 | 970 | 826 | 694 |
| End of month | 943 | 1,102 | 1,003 | 760 | |
| Increase % | 19.52 | 13.61 | 21.43 | 9.51 |
Data source: data collation. Unit: USD/ton.
Debt solvency of Haier in some years.
| Reporting period | Assets and liabilities | Current ratio | Quick ratio |
|---|---|---|---|
| 2011/12/31 | 70.95% | 1.21 | 0.98 |
| 2012/12/31 | 68.95% | 1.27 | 1.04 |
| 2013/12/31 | 67.23% | 1.7 | 1.12 |
| 2014/12/31 | 61.18% | 1.43 | 1.25 |
| 2015/12/31 | 57.34% | 1.18 | 1.16 |
| 2016/12/31 | 71.31% | 0.95 | 0.74 |
| 2017/12/31 | 69.13% | 1.15 | 0.87 |
| 2018/12/31 | 67.58% | 1.26 | 1.07 |
| 2020/12/31 | 62.11% | 1.33 | 1.16 |
| 2021/12/31 | 49.98% | 1.48 | 1.28 |
Changes in some financial statement items of Haier.
| Subject | 2015-12-31 | 2016-12-31 | 2017-12-31 |
|---|---|---|---|
| Long term loan | 2.972 | 155.3 | 160.4 |
| Financial expenses | −5.139 | 7.204 | 13.93 |
| Non-operating expenses | 0.9592 | 3.362 | 2.616 |
| Net cash flow from investing activities | −14.49 | −28.49 | −113.5 |
| Asset impairment loss | 3.063 | 4.905 | 6.559 |
Data source: wind data collation. Unit: 100 million yuan.
Haier profitability index.
| Reporting period | Net profit margin | Net profit rate of the total assets | ROE |
|---|---|---|---|
| 2017/12/31 | 5.68 | 6.4 | 23.59 |
| 2016/12/31 | 5.62 | 6.46 | 20.41 |
| 2015/12/31 | 6.6 | 7.85 | 16.22 |
| 2014/12/31 | 7.54 | 9.84 | 27.58 |
| 2013/12/31 | 6.42 | 10.03 | 32.84 |
| 2012/12/31 | 5.46 | 9.75 | 33.78 |
| 2011/12/31 | 4.95 | 10.57 | 31.33 |
Data source: Haier annual report compilation. Unit: percentage.
Figure 1Comparison of profitability between Haier and similar companies.
Haier’s new accounts receivable in 2017.
| Client’s name | Accounts receivable | |
|---|---|---|
| Book balance | Bad debt provision | |
| HAIER International Co., Ltd. | 43,154,437 | 2,157,721 |
| HNR Company, Ltd. | 122,775,678 | 6,138,783 |
| Fisher and Paykel Appliances, Ltd. | 317,751,221 | 15,887,561 |
Data source: Haier annual report. Unit: yuan.
Proportion of overseas sales in Haier’s sales revenue from 2015 to 2018.
| Year | 2015 | 2016 | 2017 | 2018 |
|---|---|---|---|---|
| Total sales | 89,996,359,668 | 119,246,700,635 | 158,726,338,535 | 177,183,253,252 |
| Overseas sales | 18,699,302,564 | 47,517,434,312 | 67,039,657,012 | 71,220,361,228 |
| Mainland sales | 71,297,057,103 | 71,729,266,323 | 91,686,681,523 | 105,442,960,624 |
| Proportion of overseas sales | 21% | 40% | 42% | 40% |
Data source: Haier annual report. Unit: yuan.
Haier’s foreign currency and monetary funds in 2016–2017.
| Project | 2016 Closing balance | 2017 Closing balance | ||||
|---|---|---|---|---|---|---|
| Foreign currency | Exchange rate | RMB | Foreign currency | Exchange rate | RMB | |
| Money Funds | ||||||
| Dollar | 387,284 | 6.937 | 2,686,593 | 1,249,816 | 6.5342 | 8,166,548 |
| EUR | 21,250 | 7.3068 | 358,823 | 20,058 | 7.8023 | 156,501 |
| JPY | 5,184,441 | 0.0596 | 308,946 | 5,007,949 | 0.0579 | 289,875 |
| Accounts Receivable | ||||||
| Dollar | 976,653 | 6.937 | 6,775,045 | 1,036,244 | 6.5342 | 6,771,029 |
| EUR | 49,108 | 7.3068 | 358,823 | 46,517 | 7.8023 | 362,939 |
| JPY | 4,314,376 | 0.0569 | 257,098 | 3,875,030 | 0.0579 | 224,298 |
Unit: 1,000 yuan.
Changes in political risk in some of Haier’s overseas investment countries.
| Nation | 2016 Ranking | 2016 Ranking | Change | Nation | 2016 Ranking | 2016 Ranking | Change |
|---|---|---|---|---|---|---|---|
| America | 7 | 12 | Rise | Japan | 8 | 6 | Rise |
| Germany | 5 | 2 | Rise | Iran | 48 | 49 | Drop |
| Italy | 19 | 12 | Rise | Saudi Arabia | 20 | 23 | Drop |
| Vietnam | 40 | 37 | Rise | New Zealand | 3 | 5 | Drop |
| Thailand | 41 | 24 | Rise | Nigeria | 54 | 36 | Rise |
| Pakistan | 46 | 47 | Drop | South Africa | 17 | 19 | Drop |
| India | 22 | 22 | —— | Venezuela | 56 | 51 | Rise |
| South Korea | 14 | 13 | Rise |
Data source: China overseas investment country risk rating.
Economic risk ranking of overseas investing countries in 2017.
| Nation | Ranking | Change from previous year | Nation | Ranking | Change from previous year |
|---|---|---|---|---|---|
| America | 1 | —— | Thailand | 41 | Rise |
| Japan | 4 | Rise | Vietnam | 42 | Drop |
| new Zealand | 5 | Drop | Iran | 47 | Rise |
| Germany | 6 | Rise | Nigeria | 50 | Drop |
| India | 22 | Rise | South Africa | 51 | Drop |
| Pakistan | 34 | Drop | Venezuela | 57 | —— |
Data source: China overseas investment country risk rating.
Country risk assessment of Haier’s overseas investments.
| Nation | America | Germany | Pakistan | Vietnam | Thailand | Japan | Iran | South Africa | Venezuela |
|---|---|---|---|---|---|---|---|---|---|
| Political risk | low | very low | very high | high | medium | very low | very high | low | very high |
| Economic risk | very low | very low | high | very high | very high | very low | very high | very high | very high |
| Legal risk | medium | very low | high | high | high | very low | high | high | very high |
| Cultural risk | very low | very low | high | high | high | very low | very high | high | very high |
Data source: China overseas investment country risk rating.
Judgment standard of Z value and company risk.
| Probability of bankruptcy in the short term | |
|---|---|
| <1.8 | Serious financial crisis and high risk of bankruptcy (high-risk area) |
| 1.8 ~ 2.99 | Financial crisis and bankruptcy risk exists (grey area) |
| >2.99 | Little financial crisis and low risk of bankruptcy (low-risk area) |
Calculation results of Z value of Haier.
| Unit: 100 million yuan | ||||
|---|---|---|---|---|
| Haier | 2014/12 | 2015/12 | 2016/12 | 2017/12 |
| Current assets | 594.75 | 548.67 | 695.16 | 820.36 |
| Current liabilities | 416.28 | 397.83 | 734.53 | 761.94 |
| Total assets | 750.06 | 759.61 | 1312.55 | 1444.49 |
| Total liability | 458.86 | 435.58 | 936.75 | 1004.45 |
| Operating income | 887.75 | 897.48 | 1190.66 | 1191.9 |
| Retained earnings | 148.8 | 159.32 | 196.18 | 237.56 |
| Profit before tax | 80.87 | 69.75 | 81.83 | 80.88 |
| Interest expense | −2.31 | −4.98 | 7.21 | 8.71 |
| Book value of shareholders’ equity | 565.33 | 607.42 | 602.45 | 920.1 |
|
| 0.2379 | 0.1986 | −0.03 | 0.0404 |
|
| 0.1984 | 0.2097 | 0.1495 | 0.1645 |
|
| 0.1042 | 0.0853 | 0.0678 | 0.0808 |
|
| 1.232 | 1.3945 | 0.6431 | 0.916 |
|
| 1.1836 | 1.1815 | 0.9071 | 0.8251 |
| 3.0287 | 2.8903 | 1.6892 | 2.0287 | |
| Low risk | Grey area | Very high risk | Grey area | |
Data source: Haier’s annual report compilation.
Changes in abnormal returns.
| Coef |
| Upper limit 95% | Lower limit 95% | |||
|---|---|---|---|---|---|---|
| Intercept | −0.00027 | 0.001474 | −0.18025 | 0.857253 | −0.00318 | 0.002652 |
| Market return | 1.227025 | 0.133978 | 9.158426 | 1.45E−15 | 0.961824 | 1.492226 |
Figure 2Changes in abnormal returns.
Changes in abnormal returns.
| Variable | Obs | Mean |
|
|
|---|---|---|---|---|
| AR | 11 | −0.00389 | 0.002983 | 0.009892 |
| Mean + mean < AR> | t = 1.3038 | |||
| H0: mean = 0 | Degrees of freedom = 10 | |||
| Ha: mean < 0 | Ha: mean! = 0 | Ha: mean > 0 | ||
| Pr( | Pr(| | Pr( | ||
Changes in abnormal returns.
| Coef | SE | Upper limit 95% | Lower limit 95% | |||
|---|---|---|---|---|---|---|
| Intercept | −0.00181 | 0.001195 | −1.51913 | 0.131271 | −0.00418 | 0.00055 |
| Market return | 0.943321 | 0.102269 | 9.223907 | 1.07E−15 | 0.740869 | 1.145773 |
Figure 3Abnormal returns during the event window.
Changes in abnormal returns.
| Variable | Obs | Mean |
|
|
|---|---|---|---|---|
| AR | 11 | 0.007471 | 0.004205 | 0.013947 |
| Mean + mean < AR> | t = 1.7767 | |||
| H0: mean = 0 | Degrees of freedom = 10 | |||
| Ha: mean < 0 | Ha: mean! = 0 | Ha: mean > 0 | ||
| Pr(T < t) = 0.9470 | Pr(| | Pr( | ||