Conflict Resolution between Multi-Level Government and Farmers in Land Expropriation Based on Institutional Credibility Theory: Empirical Evidence from Shandong Province, China
Abstract
1. Introduction
2. Theoretical Analysis Framework and Hypotheses
2.1. The Stakeholders in the MVLT Conflict
2.2. The Conflict of the MVLT and Farmers’ Credibility

2.3. Government Behavioral Will and Generation of Conflict
2.4. Administrative Means of Lower Governments and Conflict Resolution
| Level 1 Index | Secondary Indicators | Level 3 Indicators |
|---|---|---|
| Administrative means | Discretion in compensation expenses | Adopt the way of increasing or reducing the compensation standard for demolition and removal |
| Authority of administrative penalties (hard means) | Use a way of limiting freedom | |
| Way that threatens the employment or welfare of family members or relatives | ||
| Take water disconnection, power cut, and road closure | ||
| Threat forced demolition | ||
| Organization and mobilization ability (soft means) | Constantly sending people to persuade them | |
| Party members or village cadres to take the lead and asked to persuade other farmers | ||
| People whose family members work in government and business persuade their family to agree to the demolition. | ||
| Ask your relatives to do the persuasion work |
3. Overview of the Study Area, Data Acquisition, and Research Methods
3.1. Overview of the Study Area
3.2. Data Acquisition
3.3. Research Methods
3.3.1. Measurement Index of Farmers’ Credibility
- (1)
- The value of the profit and loss perception is obtained from the following three-level indicators:
- (2)
- The value of the conflict perception is obtained from the following three-level indicators:
- (3)
- The value of institutional change is obtained from the following three-level indicators:
3.3.2. Indicators for the Measurement of Policy Instrument Indices
- Task assignment: the MVLT has the time node to finish.
- Inspection and acceptance: the superior established a strict assessment system before, during, and after the event.
- Incentive measures: according to the completion of the MVLT, there is a certain amount of incentive funds.
- Performance assessment: the completion of the MVLT shall be included in the annual performance assessment, and those who fail to pass it shall be degraded.
3.3.3. Administrative Means of Lower Governments and Evaluation of Farmers’ Characteristics
3.3.4. Classification of Conflict Index
4. Result Analysis
4.1. Credibility and Level of Conflict in the Initial Implementation of the MVLT
4.2. Individual Characteristics and Credibility of Farmers
4.3. Administrative Instruments and Credibility
4.4. Conflict Pressure after the Policy Stop
5. Discussion
6. Conclusions
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
| 1 | The General Office of the Central Committee of the Communist Party of China and the General Office of the State Council. 2016. “Opinions on Improving the Methods of Separating Ownership, Contractual Rights, and Operational Rights of Rural Land” 11 November. http://www.gov.cn/xinwen/2016-10/30/content_5126200.htm (accessed on 11 November 2021). |
| 2 | YAAHP (Yet Another AHP) is an AHP software that provides convenient functions such as hierarchical model construction, entry of judgement matrix data, computation of weight, and export of computational data (http://www.yaahp.com/ (accessed on 1 December 2021). |
| 3 | He Xuefeng. 2020. “Why Demolish Peasants’ Houses When Shandong Villages Live Together”. The guancha, 14 May. https://www.guancha.cn/HeXueFeng/2020_05_14_550296_2.shtml (accessed on 5 December 2021). |
| 4 | Liu Shimeng. 2020. “The Whole Story of Shandong’s ‘merging villages and Living together’: Shandong’s Leading Group Responds Quickly to Official Demands for Rectification” The chinatimes. 30 June. https://baijiahao.baidu.com/s?id=1670882730150930750&wfr=spider&for=pc (accessed on 13 December 2021). |
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| N = 351 | Classification of Farmers | Number of Household | Proportion |
|---|---|---|---|
| Head of household, age | Under the age of 30 | 18 | 5.11% |
| 30–60 year | 261 | 74.47% | |
| Over the age of 60 | 43 | 12.34% | |
| Source of income | Non-agricultural income ≤ 30% | 87 | 24.68% |
| 30% < Non-agricultural income < 90% | 194 | 55.32% | |
| Non-agricultural income ≥ 90% | 70 | 20.00% | |
| Housing structure | Brick mix | 229 | 65.11% |
| Brick wood | 55 | 15.53% | |
| Steel mix | 68 | 19.36% | |
| Monthly income per household (CNY) | ≤2000 | 90 | 25.74% |
| 2000–4000 | 221 | 62.98% | |
| ≥4000 | 40 | 11.28% |
| Scale | Explanation |
|---|---|
| 1 | Equal importance |
| 3 | Weak importance |
| 5 | Essential importance |
| 7 | Very strong importance |
| 9 | Absolute importance |
| 2, 4, 6, 8 | Intermediate value |
| Proxy Index | Proxy Index | Symbol | Proxy Index’s Calculation |
|---|---|---|---|
| the characteristics of farmers | residence | X1 | Do you live in the village? Yes, 1; No, 0 |
| structure | X2 | What is the housing structure like? Brick and wood, 1; brick concrete, 2; steel concrete, 3 | |
| source of income | X3 | What is the source of income? Pure agriculture, 1; part-time industry, 2; Non-agricultural, 3 | |
| income | X4 | What is your monthly income? less than 3000, 1; 3000–5000, 2; more than 5000, 3 | |
| social capital | X5 | How about your social capital? no, 0; relative, 1; family member 2; relative + family member, 3 | |
| administrative means | compensation means | G1 | Mainly for three degrees: no, 0; light, 1; heavy, 2 |
| hard means | G2 | Here are 4 options, one point each, for a total of 4 points | |
| soft means | G3 | Here are 5 options, one point each, for a total of 5 points |
| Credibility Index | 0.0000–0.2000 | 0.2001–0.4000 | 0.4001–0.6000 | 0.6001–0.8000 | 0.8001–1.0000 |
|---|---|---|---|---|---|
| Level | Low | Medium low | Neutral | Medium high | High |
| Institutional efficiency | Poor | Medium Poor | Neutral | Medium Good | Good |
| Institutional intervention | Ordaining | Prohibiting | Facilitating | Co-opting | Condoning |
| Conflict Index | 0.0000–0.2000 | 0.2001–0.4000 | 0.4001–0.6000 | 0.6001–0.8000 | 0.8001–1.0000 |
|---|---|---|---|---|---|
| Conflict level | Low | Medium low | Neutral | Medium high | High |
| Policy efficiency | Good | Medium good | Neutral | Medium poor | Poor |
| Policy intervention | Condoning | Co-opting | Facilitating | Prohibiting | Ordaining |
| Group | (%) | Credibility | Credibility Level | Policy Instrument | Conflict Index | Conflict Level |
|---|---|---|---|---|---|---|
| Full sample (351) | 100.00 | 0.4763 | Neutral (lower) | 0.9813 | 0.5139 | Neutral (upper) |
| Full sample × 20% | 20.00 | 0.2117 | Medium low (lower) | 0.9813 | 0.7736 | Medium high (upper) |
| Group 1 (61) | 17.38 | 0.8790 | High (lower) | 0.9813 | 0.1187 | Low (upper) |
| Group 2-1 (85) | 24.22 | 0.5467 | Neutral (upper) | 0.9813 | 0.4448 | Neutral (lower) |
| Group 2-2 (157) | 44.73 | 0.3827 | Medium low (upper) | 0.9813 | 0.6058 | Medium high (lower) |
| Group 3-1 (36) | 10.26 | 0.2185 | Medium low (lower) | 0.9813 | 0.7669 | Medium high (upper) |
| Group 3-2 (12) | 3.42 | 0.0512 | Low (lower) | 0.9813 | 0.9311 | High (upper) |
| VARIABLES | (1) Credibility | (2) Credibility | (3) Credibility | (4) Credibility |
|---|---|---|---|---|
| residence | −0.501 *** | −0.076 *** | ||
| (−21.37) | (−12.41) | |||
| structure | 0.031 ** | −0.006 | 0.055 *** | −0.003 |
| (1.97) | (−0.66) | (4.64) | (−0.49) | |
| Source of income | 0.010 | 0.014 | 0.044 *** | −0.002 |
| (1.03) | (1.38) | (5.92) | (−0.38) | |
| income | 0.046 *** | 0.004 | 0.050 *** | −0.002 |
| (4.85) | (0.46) | (7.47) | (−0.19) | |
| Social capital | −0.039 *** | 0.003 | 0.001 | −0.056 *** |
| (−3.11) | (0.61) | (0.07) | (−9.30) | |
| Constant | 0.740 *** | 0.845 *** | 0.140 *** | 0.225 *** |
| (17.09) | (21.29) | (6.17) | (22.55) | |
| Observations | 351 | 61 | 242 | 48 |
| R-squared | 0.737 | 0.250 | 0.544 | 0.872 |
| (1) | (2) | (3) | (4) | |
|---|---|---|---|---|
| VARIABLES | The Change of Credibility of 242 Households | The Change of Credibility of 48 Households | The Change of Credibility of 19 Households | The Change of Credibility of 29 Households |
| compensation means after | 6.041 * | −0.426 | −0.652 | −0.390 *** |
| (1.69) | (−1.10) | (−0.84) | (−4.75) | |
| Hard means after | 15.947 *** | 0.016 | −0.310 | 0.062 |
| (8.48) | (0.04) | (−0.29) | (0.30) | |
| Soft means after | 10.047 *** | −0.685 * | −0.276 | −0.740 *** |
| (5.98) | (−1.96) | (−0.35) | (−4.37) | |
| Constant | −20.796 *** | 1.851 | 2.147 | 1.563 |
| (−4.58) | (0.71) | (0.51) | (1.20) | |
| Observations | 242 | 48 | 19 | 29 |
| R-squared | 0.497 | 0.113 | 0.088 | 0.498 |
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Fan, S.; Luo, X.; Han, P. Conflict Resolution between Multi-Level Government and Farmers in Land Expropriation Based on Institutional Credibility Theory: Empirical Evidence from Shandong Province, China. Land 2023, 12, 844. https://doi.org/10.3390/land12040844
Fan S, Luo X, Han P. Conflict Resolution between Multi-Level Government and Farmers in Land Expropriation Based on Institutional Credibility Theory: Empirical Evidence from Shandong Province, China. Land. 2023; 12(4):844. https://doi.org/10.3390/land12040844
Chicago/Turabian StyleFan, Shengyue, Xijing Luo, and Peitao Han. 2023. "Conflict Resolution between Multi-Level Government and Farmers in Land Expropriation Based on Institutional Credibility Theory: Empirical Evidence from Shandong Province, China" Land 12, no. 4: 844. https://doi.org/10.3390/land12040844
APA StyleFan, S., Luo, X., & Han, P. (2023). Conflict Resolution between Multi-Level Government and Farmers in Land Expropriation Based on Institutional Credibility Theory: Empirical Evidence from Shandong Province, China. Land, 12(4), 844. https://doi.org/10.3390/land12040844

