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A Study on Real Estate Inverse Depreciation in Taiwan

2. Kaohsiung City

According to the Taiwan Real Estate Industry Yearbook (2009), we defined Sanmin, Lingya, Cianjin, Cianjhen, Gushan and Zuoying Districts as high-developed areas and all the other districts as low-developed areas, as tested by the Chow test. Under the null hypotheses that real estate regression models of high-developed areas and low-developed areas correspond to coefficients and constants equally, the F-value strategy was 196.0286, higher than the critical value by 2.0031 at a significance level of 1%. This indicates that the regression results of different developed regions exhibited significant differences. The F-value regression results for land value and building value strategies were 187.8819 and 39.87618, respectively, higher than the critical value by 2.0031 and 2.0416 at a significance level 1%. These also exhibited significant differences. Therefore, it was necessary to simulate the depreciation effect separately for areas with different degrees of development.

From Figure 3 we can see that the timing of inverse depreciation of real estate for high-developed areas and low-developed areas in Kaohsiung City rose relatively later than in Taipei City. Present value ratios in the 50th year were 62.19% and 50.33%, respectively. The residual value rate in high-developed areas was higher than for low-developed areas. The age effect on building value for both high-developed areas and low-developed areas decreased year by year. Present value ratios in the 50th year were 27.67% and 26.45%, respectively, virtually the same. These indicate that depreciation of buildings was less in both areas. As for the land value, inverse depreciation rose in the 27th year and 30th year, respectively. Present value ratios in the 50th year were 98.5% and 75.23%, respectively. The timing of inverse depreciation and the present value ratio rose higher and earlier in high-developed areas than in low-developed areas. Therefore, in both high-developed areas and low-developed areas, inverse depreciation rose for real estate and land value but not for building value. These results validate hypothesis I and hypothesis II, and the simulation results conform to hypothesis III in Kaohsiung City.

In comparison, inverse depreciation arose in both cities, only the timing of inverse depreciation occurred earlier in Taipei City than in Kaohsiung City. As to land value, the timing of inverse depreciation occurred in both city is fairly equally, but the present value ratio in the 50th year in Taipei City was much higher than in Kaohsiung City. This may be because renewal in low-priced areas of Kaohsiung City was relatively unexpected but much anticipated in Taipei. In the case of decreasing building value year by year in both cities, this verified that inverse depreciation results

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from the redevelopment value of land regardless of the value of buildings. Inverse depreciation shows positive correlation with the potential for regional redevelopment, verifying the relationship with spatial variation and inverse depreciation and hypothesis III, that the higher the redevelopment potential, the more obvious is inverse depreciation.

Figure 3. Age and PVR in Kaohsiung City.

Table 7. Timing of Inverse Depreciation and PVR in the 50th Year.

Item

Kaohsiung City Taipei City All High-

Developed

Low-

Developed All High- Developed

Low- Develope

d PVR of

RE 58.40% 62.19% 50.33% 85.38% 88.38% 78.90%

Timing

of RE 42 50 41 29 28 32

PVR of

Buildings 27.58% 27.67% 26.45% 33.47% 33.89% 33.42%

PVR of

Land 93.82% 98.50% 75.23% 107.68% 107.20% 102.28%

Timing

of Land 27 27 30 25 25 26

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Conclusions

The age effect of real estate has generally been interpreted as the depreciation of real estate with increasing building age the decreasing utility value. This study was based on real estate newsletter of transaction prices, and empirical results indicated that real estate value exhibited inverse depreciation, which means an appreciation after depreciation with the lapse of time. This supports hypothesis I. Prices of building showed that with increasing building age buildings continue depreciating, exhibiting a curve convex to the original point, but not reversal, supporting hypothesis II, while change in land value is similar to that of real estate, decreasing then increasing with the lapse of time. However, the change in land value curve is steeper than that for real estate, verifying that inverse depreciation derives from the inverse value of land regardless of the value of buildings.

These empirical results are substantiated in the high-redeveloped areas and low-redeveloped areas of both Taipei City and Kaohsiung City, showing universality. Nevertheless, potential redevelopment areas will be relatively obvious. This inverse depreciation illustrates why the price of old apartments repeatedly rise in Taipei City.

Furthermore, the composition ratio of land and building in real estate is changes with the age. If it is not possible to effectively grasp the percentage of building value in real estate value with time, then estimating the depreciation rate of buildings by the depreciation rate of real estate may be inaccurate, especially in high-developed areas.

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