Journal of Geographical Sciences >
Quantitative measurement of the effects of administrative division adjustments on regional development
Wang Kaiyong (1980-), PhD and Professor, specialized in urban geography and administrative division. E-mail: wangky@igsnrr.ac.cn |
Received date: 2021-02-28
Accepted date: 2021-09-10
Online published: 2022-02-25
Supported by
National Natural Science Foundation of China(41871151)
Copyright
Administrative divisions are the important foundation of national governance and social development, and the adjustment of administrative divisions is a critical way to promote regional coordinated development. Under the background of globalization and regionalization, timely adjustment of administrative divisions is a major step to reconstruct the regional development pattern. In the perspective of regional coordinated development, this paper constructs an Administrative Rank Potential Energy (ARPE) model to explore the mechanisms of administrative division adjustment (ADA) under coordinated regional development based on the theory of regional interaction, spatial field energy model and power exponential function. The results show that: (1) The development potential and influence of an administrative region are closely related to the administrative jurisdiction, administrative resources, and the potential of regional coordinated development. (2) The growth rate of ARPE in the study area from 2010 to 2015 was 20.7% compared to the period 2005 to 2010, and the potential for coordinated development increased to 3.05% from 0.21% before the “cancelling” the prefecture-level city of Chaohu. (3) The measurement results of the usefulness of ADA can not only distinguish the complex impacts brought about by social development, but also accord with real social and economic development conditions. The ARPE focuses on the both regional integrated development and individual development, thereby serving as a reference for explaining and evaluating adjustments to administrative divisions at the macro- and micro-scales.
WANG Kaiyong , FENG Rundong . Quantitative measurement of the effects of administrative division adjustments on regional development[J]. Journal of Geographical Sciences, 2021 , 31(12) : 1775 -1790 . DOI: 10.1007/s11442-021-1922-0
Figure 1 Interpretative framework of the effects of administrative division adjustment on regional development |
Figure 2 Conceptual diagram of the potential coefficient of regional coordination |
Figure 3 Conceptual diagram of the potential coefficient of regional coordination in the rapid development stage |
Figure 4 The spatial structures of Hefei and Wuhu before and after administrative division adjustment |
Table 1 The index system and its application for the effects of administrative division adjustment |
Target layer | Level-one indicator | Level-two indicator | Data treatment | Indicator type |
---|---|---|---|---|
Comprehensive strength of administrative region | Jurisdiction (horizontal management capacity) | Population | Permanent population density | Positive |
Economic strength | Per capita GDP | Positive | ||
*Per capita fixed-asset investment ×[1-(GDPi/GDPN)] | Positive | |||
Land allocation capacity | Per capita urban construction land area ×[1-(GDPi/GDPN)] | Positive | ||
Administrative resources (vertical management authority) | Fiscal decentralization | Per capita fiscal revenue ×[1-(GDPi/GDPN)] | Positive | |
Per capita fiscal expenditure×[1-(GDPi/GDPN)] | Positive | |||
Public management | Public management and social organization personnel×[1-(GDPi/GDPN)] | Positive | ||
Coordinated development potential | Potential factor (regional integration capacity) | Market unity | *Foreign direct investment ×[1-(GDPi/GDPN)] | Positive |
Difference between average worker salary of a county and the median ×[1-(GDPi/GDPN)] | Negative | |||
Factor homogeneity | Fiscal revenue/GDP×[1-(GDPi/GDPN)] | Positive | ||
Per capita disposable income ×[1-(GDPi/GDPN)] | Positive | |||
Development synergy | Industrial structure similarity coefficient calculated according to proportions of primary, secondary and tertiary industries | Negative | ||
GDP growth rate of each district | Positive | |||
Natural conditions | Slope calculated using digital elevation | Negative | ||
Net primary productivity | Positive | |||
Accessibility | Time cost | Cost distance | Shortest time cost distance | Negative |
Note: * indicates that there is a lack of statistical data at the municipal district level for that indicator, so city-wide data was used instead |
Figure 5 Accessibility of the Hefei-Wuhu region |
Table 2 Nodule indexes of the Hefei-Wuhu region |
Hefei | Wuhu | Chaohu | Hefei-Wuhu region | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Highest | Lowest | Average | Growth rate (%) | Highest | Lowest | Average | Growth rate (%) | Overall | Growth rate (%) | Average | Growth rate (%) | |
2005 | 1.23 | 0.02 | 4.73 | - | 0.86 | 0.01 | 2.74 | - | 1.17 | - | 8.64 | - |
2010 | 1.59 | 0.55 | 7.94 | 67.9 | 1.28 | 0.31 | 5.27 | 92.3 | 1.41 | 20.5 | 14.62 | 69.2 |
2015 | 4.3 | 0.76 | 14.14 | 78.1 | 3.28 | 0.55 | 12.55 | 138.1 | 0.76 | -46.1 | 26.69 | 82.6 |
Figure 6 Spatial pattern of coordinated development potential coefficients in the Hefei-Wuhu region |
Figure 7 Spatio-temporal evolution of the Administrative Rank Potential Energy in the Hefei-Wuhu region |
Figure 8 Spatial effects of administrative division adjustment on the regional development pattern |
[1] |
|
[2] |
|
[3] |
|
[4] |
|
[5] |
Chinese Encyclopedia Committee (CEC), 2009. The Volume of Chinese Geography of Encyclopedia of China. 2nd ed. Beijing: Encyclopedia of China Publishing House. (in Chinese)
|
[6] |
|
[7] |
|
[8] |
|
[9] |
|
[10] |
|
[11] |
|
[12] |
|
[13] |
|
[14] |
|
[15] |
|
[16] |
|
[17] |
|
[18] |
|
[19] |
|
[20] |
|
[21] |
|
[22] |
|
[23] |
|
[24] |
|
[25] |
|
[26] |
|
[27] |
|
[28] |
|
[29] |
|
[30] |
|
[31] |
|
[32] |
|
[33] |
|
[34] |
|
[35] |
|
[36] |
|
/
〈 | 〉 |