Social Landscape Optimization of Towns and Villages at the County Level by Developing a Compound Ecological Capital System
Abstract
:1. Introduction
1.1. From Space Production to Landscape Production
1.2. From Sustainable Livelihoods to Compound Ecological Capital
1.3. Eco-Economy and Ecological Social Structure
2. Theory
2.1. Social Landscape in Deterioration
2.2. Landscape Structure of Towns and Villages Built on Compound Ecological Capital System
2.3. Official Guidelines on Rural Landscape
2.4. New Social Landscape Order Based On the Evaluation of Social Capital Ecology
3. Data and Method
3.1. Data
3.2. Method
3.2.1. Social Landscape Vulnerability
3.2.2. Eco-Evaluation of Social Capital: Analysis by Gravity and its Five Factors
3.2.3. Indicator Evaluation Process
3.2.4. Calculation of Gravity Index of Social Capital
4. Result
4.1. Social Landscape Type in 13 Towns and Townships
4.2. Coupling Model of Compound Ecological Capital Construction and Social Landscape Structure Optimization
4.3. Optimization Approach to Classification of Social Landscapes
4.4. Application Interpretation of the Optimization Approaches to Social Landscape in Hequ County
4.4.1. OA1: Construct the Meso–Micro Natural–Economic–Social Ecosystem
4.4.2. OA2: Strengthen the Construction of Social Networks
4.4.3. OA3: Smart Shrinkage
4.4.4. OA4: Develop Agricultural Economy
5. Conclusions
5.1. Automatic Allocation of the Result
5.2. Sensitive Things/Sub-Cultural Phenomenon
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
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Objective Layer A | Factor Layer B | Indicator Layer C | ||||
---|---|---|---|---|---|---|
Serial No. | Content | Serial No. | Content | Serial No. | Content | Weight |
A | Gravity index of social capital | B1 | Scale factor | C1 | Population | 0.1117 |
C2 | Settlement area in towns and villages | 0.0917 | ||||
B2 | Location factor | C3 | Distance to county town seat | 0.0827 | ||
C4 | Distance to rural town seat | 0.0512 | ||||
C5 | Distance to traffic lines | 0.0776 | ||||
B3 | Production factor | C6 | Labor force | 0.0356 | ||
C7 | Homestead area | 0.0724 | ||||
C8 | Garden area | 0.0481 | ||||
C9 | Education level of residents | 0.0695 | ||||
B4 | Life factor | C10 | Per capita net income | 0.0948 | ||
C11 | Culture influence | 0.0733 | ||||
C12 | Per capita area of cultural facilities | 0.0276 | ||||
C13 | Distance from settlements to primary school | 0.0169 | ||||
C14 | Distance from settlements to middle school | 0.0183 | ||||
B5 | Natural ecology factor | C15 | Slope angle | 0.0546 | ||
C16 | Green area | 0.0341 | ||||
C17 | Annual rainfall | 0.0399 |
Town (Townships) | No. of Villages | Total Value | Proportion of Each Factor |
---|---|---|---|
Wenbi Town | 13 | 0.7216 | Scale factor (20.34%) Location factor (21.15%) Production factor (22.56%) Life factor (23.09%) Ecological factor (12.86%) |
Xunzhen Town | 28 | 0.5418 | |
Louziying Town | 17 | 0.4997 | |
Liujiata Town | 32 | 0.4306 | |
Jiuxian Township | 26 | 0.4191 | |
Lugu Township | 27 | 0.4029 | |
Shaping Township | 33 | 0.3284 | |
Shaquan Township | 43 | 0.3012 | |
Qianchuan Township | 23 | 0.2993 | |
Shanzhai Township | 27 | 0.2864 | |
Tugou Township | 24 | 0.2019 | |
Sheliang Township | 26 | 0.1851 | |
Zhaojiagou Township | 22 | 0.0127 |
Assessment of Social Capital Ecology | Previous Social Landscape Type | Optimization Approach (OA) of Social Landscape |
---|---|---|
Ecology of Social Capital: Level I | Urbanized settlements | Optimization Approach 1 (OA1) |
Ecology of Social Capital: Level II or III | Urbanized rural settlements | Optimization Approach 2 (OA2) |
Ecology of Social Capital: Level III | Non-urbanized rural settlements | Optimization Approach 3 (OA3) |
Ecology of Social Capital: Level IV | Non-urbanized rural settlements | Optimization Approach 4 (OA4) |
Application of Optimization Approach (AOA) | Number of Villages | Total Area km2 | Maximum Patch Area km2 | Minimum Patch Area km2 | Average Patch Area km2 |
---|---|---|---|---|---|
OA1 | 38 | 282.17 | 59.89 | 3.92 | 7.42 |
OA2 | 68 | 291.93 | 18.93 | 3.84 | 4.29 |
OA3 | 111 | 365.64 | 23.21 | 3.01 | 3.29 |
OA4 | 134 | 387.26 | 15.26 | 2.12 | 2.89 |
Objective Layer A | Factor Layer B | Indicator Layer C | Specific Attributes |
---|---|---|---|
A: Multi-social landscape | B1: Economy—production relationship | C1: Benefit distribution between urban and rural Areas | Urban capital to the rural areas/Urban elite to the rural ares |
C2: Post-Productionist rural areas | |||
B2: Nature—environment creating | C3: Construction activities | Local materials/Symbols/Scales of open spaces/Residential buildings | |
C4: Environment renovation | Low impact enterprises/Shrinkage/Agricultural economy | ||
B3: Society-Cultural matrix | C5: Continuity of traditional texture | Cultural inheritance/Pastoral products/Folklore Culture | |
C6: Social network | Village communities/NGOs (Non-governmental organization) |
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Ren, K.; Yang, J. Social Landscape Optimization of Towns and Villages at the County Level by Developing a Compound Ecological Capital System. Sustainability 2019, 11, 2764. https://doi.org/10.3390/su11102764
Ren K, Yang J. Social Landscape Optimization of Towns and Villages at the County Level by Developing a Compound Ecological Capital System. Sustainability. 2019; 11(10):2764. https://doi.org/10.3390/su11102764
Chicago/Turabian StyleRen, Kai, and Jianqiang Yang. 2019. "Social Landscape Optimization of Towns and Villages at the County Level by Developing a Compound Ecological Capital System" Sustainability 11, no. 10: 2764. https://doi.org/10.3390/su11102764
APA StyleRen, K., & Yang, J. (2019). Social Landscape Optimization of Towns and Villages at the County Level by Developing a Compound Ecological Capital System. Sustainability, 11(10), 2764. https://doi.org/10.3390/su11102764