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Bundle of Rights Reversed: Anticommons in a Japanese Common Property Forest Due to Legalization Cover

Bundle of Rights Reversed: Anticommons in a Japanese Common Property Forest Due to Legalization

Open Access
|Aug 2021

Figures & Tables

Table 1

Bundle of Rights Model by Schlager & Ostrom (1992).

COMMUNITY MEMBERS*OUTSIDE OF COMMUNITY*
OWNERPROPRIETORCLAIMANTAUTHORIZED USER
Access and Withdrawal
Management
Exclusion
Alienation

[i] * These distinctions are not in the table of Schlager & Ostrom (1992, p. 252) but have been added by the authors.

Table 2

Bundle of Rights Reversed: The Structure of Property Rights in Japanese Common Property Forests with Multiple Co-owners.

WITHIN THE COMMUNITYOUTSIDE THE COMMUNITY
OLD VILLAGERSNEW VILLAGERSEX-VILLAGERSDESCENDANTS OF EX-VILLAGERS
Use and AccessWith Conditions
Burdens of ManagementWith ConditionsRarely
The Right to Exclude
Ownership
Table 3

Characteristics of the groups that hold common property forests, N = 12,071, 2000 census.

REGISTERED NAMEHOLDING AREA(ha)PROPORTION OF PLANTED AREA (%)NUMBER OF COMMONERSN(%)
MEANSDMEANSDMEANSD
Multiple co-owners43.182.143.541.353.681.22684(22.2%)
Shrine & temple43.696.444.940.5143.5253.9540(4.5%)
Cooperatives100.7269.958.738.7138.4503.82318(19.2%)
Company81.2114.438.335.875.694.243(0.4%)
Territorial unit61.315145.339.896.2215.85216(43.2%)
Property district218.1124450.139.9455.67161270(10.5%)
Total80.6437.247.940.3134.7374.312071(100%)
Table 4

Characteristics of the groups that hold common property forests, N = 1,440, 1975 national survey.

REGISTERED NAMEHOLDING AREA(ha)NUMBER OF COMMONERSCASES THAT HAVE PLANTED FORESTSN(%)
MEANSDMEANSDN%
Multiple co-owners94.1142.070.781.846979.9%587(40.8%)
Representatives85.7158.683.695.816882.4%204(14.2%)
Shrine & temple70.7122.2118.3124.21973.1%26(1.8%)
Cooperatives119.0212.9153.5152.25098.0%51(3.5%)
Company129.9124.5203.0199.52993.5%31(2.2%)
Territorial unit87.8175.5115.6144.822276.8%289(20.1%)
Property district275.3781.7174.3177.06983.1%83(5.8%)
Governments175.3281.9124.3158.511569.3%166(11.6%)
Total112.7258.599.9125.8114179.4%1437(100%)
ijc-15-1-1080-g1.png
Figure 1

Theoretical framework of the data analysis.

Table 5

Descriptive statistics for explained variables: the groups that hold common property forest, N = 12,071, 2000 census.

VARIABLESMEANSD
Area size where forestry activities were carried out (ha)2.538.58
Area size contracted out to others (ha)4.0853.47
NUMBER%
Cases in which any forestry activities were done458138.0%
Cases that contract out a certain area to others *a9067.5%
Cases in which the commission of forestry activities was done*b187815.6%
Cases that utilize others’ forces for forest management (either a or b)248220.6%
Table 6

Correlation coefficients between scale variables, N = 12,071, 2000 census.

AREAPLANTED AREACOMMONERSCONTRACTEDFORESTRY ACTIVITIES
Area size of holding forest
Rate of planted area–.050**
Number of commoners.111**.035**
Area size contracted out to others.135**.001.062**
Area size where forestry activities were done.097**.142**.172**.070**

[i] **: p < .001

ijc-15-1-1080-g2.png
Figure 2

Categories of the rights of ex-villagers by registered names, N = 1,440, 1975 national survey.

Cramer’s V = .196.

ijc-15-1-1080-g3.png
Figure 3

Categories of the rights of ex-villagers by registered names, N = 12,071, 2000 census.

Cramer’s V = .308.

Table 7

Comparison of average proportions of planted area as per the rights of ex-villagers, N = 12,071, 2000 census.

RULEMEANMEDIANSD
Keeping rights (n = 3,865)45.6%37.0%41.3
Out of rights (n = 8,196)49.0%46.4%39.9
Table 8

Rates of forestry activities and utilization of others’ forces by area size and registered names, N = 12,071, 2000 census.

ANY FORESTRY ACTIVITIESUTILIZATION OF OTHERS’ FORCE
AREA SIZEREGISTERED NAMEDONENOT DONECRAMER’S V & P VALUEDONENOT DONECRAMER’S V & P VALUE
10~30haMultiple co-owners(n = 1725)23.0%77.0%Cramer’s V = .149 p < .00111.4%88.6%Cramer’s V =.118 p < .001
Shrine & temple(n = 378)32.5%67.5%17.2%82.8%
Cooperatives(n = 918)44.1%55.9%21.6%78.4%
Company(n = 15)53.3%46.7%26.7%73.3%
Territorial unit(n = 2758)29.7%70.3%12.3%87.7%
Property district(n = 372)36.3%63.7%22.8%77.2%
Total (n = 6166)30.6%69.4%14.4%85.6%
30~100haMultiple co-owners(n = 445)27.2%72.8%Cramer’s V = .186 p < .00113.7%86.3%Cramer’s V = .156 p < .001
Shrine & temple(n = 76)32.9%67.1%25.0%75.0%
Cooperatives(n = 395)54.9%45.1%27.3%72.7%
Company(n = 8)50.0%50.0%37.5%62.5%
Territorial unit(n = 939)37.3%62.7%14.8%85.2%
Property district(n = 188)39.3%60.6%27.7%72.3%
Total(n = 2051)38.6%61.4%18.6%81.4%
100ha~Multiple co-owners(n = 514)34.2%65.8%Cramer’s V = .232, p < .00119.3%80.7%Cramer’s V = .207 p < .001
Shrine & temple(n = 86)31.4%68.6%23.3%76.7%
Cooperatives(n = 1005)64.5%35.5%39.5%60.5%
Company(n = 20)65.0%35.0%60.0%40.0%
Territorial unit(n = 1519)41.6%58.4%24.4%75.6%
Property district(n = 710)57.5%42.5%44.2%55.8%
Total(n = 3854)49.4%50.6%31.4%68.6%
AllMultiple co-owners(n = 2684)25.8%74.2%Cramer’s V = .213 p < .00113.3%86.7%Cramer’s V = .197 p < .001
Shrine & temple(n = 540)32.4%67.6%19.3%80.7%
Cooperatives(n = 2318)54.8%45.2%30.3%69.7%
Company(n = 43)58.1%41.9%44.2%55.8%
Territorial unit(n = 5216)34.5%65.5%16.3%83.7%
Property district(n = 1270)48.6%51.4%35.5%64.5%
Total(n = 12071)38.0%62.0%20.6%79.4%
Table 9

Logistic regression analysis (mixed effects model) with any forestry activities done as the explained variable, N = 12,071, 2000 census.

MODEL 1MODEL 2MODEL 3MODEL 4MODEL 5MODEL 6
(Intercept)0.505***0.576***0.592***0.640***0.632***0.556***
Area size*a1.237***1.191***1.221***1.186***1.186***1.201***
Rate of planted forest*b1.650***1.635***1.641***1.631***1.629***1.627***
Number of commoners1.211***1.165***1.165***1.138***1.140***1.172***
Title: Multiple co-owners0.532***0.582***0.638***
Rule: Keeping the rights0.626***0.692***0.727***
Multiple co-owners ∧ Keeping the rights0.815*0.437***
AIC14935.72214789.88914829.49514728.8814727.19314786.125
BIC14972.71514834.2814873.88614780.6714786.38214830.516
Log Likelihood–7462.861–7388.945–7408.747–7357.44–7355.597–7387.063
    Num. obs.120711207112071120711207112071
Num. groups: Prefectures474747474747
Var: Prefectures*c (Intercept)0.2320.2240.210.2110.2110.22

[i] *** p < 0.01; ** p < 0.05; * p < 0.1.

a, b We standardized these variables before the regression.

c We used this variable to measure the impact of prefectural policies on forests.

ijc-15-1-1080-g4.png
Figure 4

The rate of forestry activities done with ex-villagers keeping rights, N = 12,041, 2000 census.

φ = .122, p < .001.

ijc-15-1-1080-g5.png
Figure 5

The rate of utilization of others’ forces with ex-villagers keeping their rights, N = 12,041, 2000 census.

φ = .083, p < .001.

ijc-15-1-1080-g6.png
Figure 6

The rate of forestry activities done with registered names and ex-villagers keeping their rights, N = 12,041, 2000 census.

Cramer’s V = .235, p < .001.

ijc-15-1-1080-g7.png
Figure 7

The rate of utilization of others’ forces done with registered names and ex-villagers keeping their rights, N = 12,041, 2000 census.

Cramer’s V = .208, p < .001.

DOI: https://doi.org/10.5334/ijc.1080 | Journal eISSN: 1875-0281
Language: English
Submitted on: Sep 21, 2020
Accepted on: Apr 9, 2021
Published on: Aug 30, 2021
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2021 Gakuto Takamura, Takashi Nishide, Yusuke Kanazawa, Masahide Hayashi, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.