China;
land disputes;
land evidence;
land judicial adjudication;
classification of land evidence;
rules of land evidence;
EVIDENCE LAW;
CONFLICTS;
AFRICA;
SYSTEM;
POLICY;
D O I:
10.3390/land13081187
中图分类号:
X [环境科学、安全科学];
学科分类号:
08 ;
0830 ;
摘要:
Against the background of the integrated development of urban and rural areas in China, land disputes are gradually increasing and becoming a prominent focus of interest in current Chinese society. In the process of dispute settlement, it is challenging for land disputes to reconstruct the evidence chain with the help of systematic land evidence, and the information asymmetry between parties intensifies social contradictions. Currently, in the context of several research practices concerning evidence, China lacks a comprehensive and traditional system of integrated land evidence theory. Specific applicable rules for different types of land evidence can only be summarized by judicial referees. The challenge in the field of land evidence lies in establishing specific rules and addressing the issue of scattered individual rules. To overcome the challenges posed by various land evidence types and the difficulties in applying traditional evidence rules, we employ the land case analysis method to examine judicial judgment documents related to land disputes. This approach allows us to summarize the facts of land dispute cases, compare the judgments made in these cases and further highlight the similarities and differences in the land evidence considered by the referees. Through this process, this paper aims to establish a legally significant practical framework for the classification of land evidence, filling the theoretical gap in the operational mechanism of land evidence and unlocking the potential for applying evidence methods in land dispute resolution.
机构:
Cent South Univ Forestry & Technol, Res Ctr Forestry Remote Sensing & Informat Engn, Changsha 410004, Peoples R China
State Forestry Adm Forest Resources Management & M, Key Lab, Changsha 410004, Peoples R China
Key Lab Forestry Remote Sensing Based Big Data & E, Changsha 410004, Peoples R ChinaCent South Univ Forestry & Technol, Res Ctr Forestry Remote Sensing & Informat Engn, Changsha 410004, Peoples R China
An, Xuexian
Jin, Wenping
论文数: 0引用数: 0
h-index: 0
机构:
Hunan Inst Surveying & Mapping Technol, Changsha, Peoples R ChinaCent South Univ Forestry & Technol, Res Ctr Forestry Remote Sensing & Informat Engn, Changsha 410004, Peoples R China
Jin, Wenping
Zhang, Huaiqing
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h-index: 0
机构:
Chinese Acad Forestry, Res Inst Forest Resources Informat Tech, Beijing 100091, Peoples R ChinaCent South Univ Forestry & Technol, Res Ctr Forestry Remote Sensing & Informat Engn, Changsha 410004, Peoples R China
Zhang, Huaiqing
Liu, Yang
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h-index: 0
机构:
Chinese Acad Forestry, Res Inst Forest Resources Informat Tech, Beijing 100091, Peoples R ChinaCent South Univ Forestry & Technol, Res Ctr Forestry Remote Sensing & Informat Engn, Changsha 410004, Peoples R China
Liu, Yang
Zhang, Meng
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h-index: 0
机构:
Cent South Univ Forestry & Technol, Res Ctr Forestry Remote Sensing & Informat Engn, Changsha 410004, Peoples R China
State Forestry Adm Forest Resources Management & M, Key Lab, Changsha 410004, Peoples R China
Key Lab Forestry Remote Sensing Based Big Data & E, Changsha 410004, Peoples R ChinaCent South Univ Forestry & Technol, Res Ctr Forestry Remote Sensing & Informat Engn, Changsha 410004, Peoples R China
机构:
Zhejiang Univ, Sch Publ Affairs, Hangzhou, Peoples R China
Univ Hong Kong, Fac Law, Hong Kong, Peoples R ChinaZhejiang Univ, Sch Publ Affairs, Hangzhou, Peoples R China
Lu, Shenghua
Wang, Hui
论文数: 0引用数: 0
h-index: 0
机构:
Zhejiang Univ, Sch Publ Affairs, Hangzhou, Peoples R China
866 Yuhang Tang Rd, Hangzhou 310058, Zhejiang, Peoples R ChinaZhejiang Univ, Sch Publ Affairs, Hangzhou, Peoples R China