Next Article in Journal
Is the Creative Class a Game Changer in Cities? A Socioeconomic Study on Romania
Next Article in Special Issue
TEEB-Russia: Towards National Ecosystem Accounting
Previous Article in Journal
Towards Sustainable Innovative Business Models
Previous Article in Special Issue
Applicability of Structure-from-Motion Photogrammetry on Forest Measurement in the Northern Ethiopian Highlands
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Correction

Correction: Kazungu et al. Household-Level Determinants of Participation in Forest Support Programmes in the Miombo Landscapes, Zambia. Sustainability 2021, 13, 2713

1
Institute of International Forestry and Forest Economics, Thünen Institute, 21031 Hamburg-Bergedorf, Germany
2
Ecosystem Dynamics and Forest Management in Mountain Landscapes, Technical University of Munich, D-85354 Freising, Germany
3
Plant and Environmental Sciences Department, School of Natural Resources, Copperbelt University, Kitwe 10101, Zambia
*
Author to whom correspondence should be addressed.
Sustainability 2021, 13(11), 5806; https://doi.org/10.3390/su13115806
Submission received: 29 April 2021 / Accepted: 7 May 2021 / Published: 21 May 2021
(This article belongs to the Special Issue Sustainable Management of Natural Resources)
The authors would like to make the following corrections about the published paper [1]. The changes are as follows:
(1)
In the results section, Table 2, the standard errors were supposed to be reported in parentheses, which are missing in the original Table 2. Because of the missing parentheses, the values of standard errors appear negative. There is another typo: “EU” should be replaced by word ‘’AEU” in Table 2. Authors would like to correct all standard error values and typos, so we need to replace the original Table 2:
Table 2. Logistic regression results of determinants of participation in Forest Support (FS) programmes.
Table 2. Logistic regression results of determinants of participation in Forest Support (FS) programmes.
VariablesCoefficientsMarginal Effect (dy/dx)
Socio-demographic factors
Age of head of household (Years)0.0060.001
−0.005−0.001
Male-headed household (Yes = 1; No = 0)0.2360.052
−0.19−0.041
Household head attained above primary education (Yes = 1; No = 0)−0.339 **−0.074
−0.169−0.037
Household size (Adult equivalent units-EU)0.0350.008
−0.037−0.008
Economic factors
Land holding size (ha)−0.031 *−0.007
−0.016−0.003
Livestock income (%)−5.80 × 10−5−1.27 × 10−5
(4.97 × 10−5)(1.09 × 10−5)
Subsistence forest income (unprocessed forest products) (%)−0.018 ***−0.004
−0.005−0.001
Charcoal income (processed forest products) (%)−0.012 ***−0.003
−0.004−0.001
Cash crop income (%)−0.023 ***−0.005
−0.005−0.001
Capture fish income (%)−0.264 ***−0.058
−0.065−0.014
Non-farm income (%)−0.019 ***−0.004
−0.007−0.001
Access factors
Walking distance from household to main road (minutes)−0.004 ***−0.001
−0.0010
Walking distance from household to public forestland (km) −0.310 ***−0.068
−0.051−0.011
Household in landscapes with protected forest area (Yes = 1; No = 0)0.620 ***0.136
−0.141−0.031
Constant0.878 **
−0.435
LR X2 (14)197.56
Prob> X20
McFadden’s R20.13
Log-likelihood−639.88
Observations11231123
*** p < 0.01, ** p < 0.05, * p < 0.1. Standard errors in parentheses.
with
Table 2. Logistic regression results of determinants of participation in Forest Support (FS) programmes.
Table 2. Logistic regression results of determinants of participation in Forest Support (FS) programmes.
VariablesCoefficientsMarginal Effect (dy/dx)
Socio-demographic factors
Age of head of household (Years)0.0060.001
(0.005)(0.001)
Male-headed household (Yes = 1; No = 0)0.2360.052
(0.190)(0.041)
Household head attained above primary education (Yes = 1; No = 0)−0.339 **−0.074
(0.169)(0.037)
Household size (Adult equivalent units-AEU)0.0350.008
(0.037)(0.008)
Economic factors
Land holding size (ha)−0.031 *−0.007
(0.016)(0.003)
Livestock income (%)−5.80 × 10−5−1.27 × 10−5
(4.97 × 10−5)(1.09 × 10−5)
Subsistence forest income (unprocessed forest products) (%)−0.018 ***−0.004
(0.005)(0.001)
Charcoal income (processed forest products) (%)−0.012 ***−0.003
(0.004)(0.001)
Cash crop income (%)−0.023 ***−0.005
(0.005)(0.001)
Capture fish income (%)−0.264 ***−0.058
(0.065)(0.014)
Non-farm income (%)−0.019 ***−0.004
(0.007)(0.001)
Access factors
Walking distance from household to main road (minutes)−0.004 ***−0.001
(0.001)(0.000)
Walking distance from household to public forestland (km)−0.310 ***−0.068
(0.051)(0.011)
Household in landscapes with protected forest area (Yes = 1; No = 0)0.620 ***0.136
(0.141)(0.031)
Constant0.878 **
(0.435)
LR X2 (14)197.56
Prob > X20.000
McFadden’s R20.13
Log-likelihood−639.88
Observations11231123
*** p < 0.01, ** p < 0.05, * p < 0.1. Standard errors in parentheses.
(2)
In Table A1, column three (share of the sample (%)) was inconsistent and did not correspond with the means calculated. Authors would like to correct the nine parts with inconsistent values, so we need to replace the original Table A1:
Table A1. Absolute household income in the study area.
Table A1. Absolute household income in the study area.
Source of IncomeMean a (SD)Share of the Sample (%)
Forest subsistence income
(unprocessed products)
2630.7 (2677.2)33.0 (21.0)
Charcoal income (processed forest product)2224.0 (6690.9)11.8 (21.3)
Crop income, subsistence1457.5 (1482.9)19.6 (15.7)
Crop income, cash 1928.5 (3237.7)17.2 (18.5)
Livestock income834.1 (1556.1)8.9 (13.6)
Capture fish income37.2 (114.1)0.7 (2.6)
Off-farm income211.5 (425.6)3.4 (7.0)
Non-farm income374.2 (806.9)5.5 (11.4)
Total household income9697.7 (9770.2)100
a Income is calculated as net values in Zambian kwacha (ZMW). At the time of data collection (2017–2019), 1 USD = 10.13 ZMW [109]. Standard Deviation (SD) in parentheses.
with
Table A1. Absolute household income in the study area.
Table A1. Absolute household income in the study area.
Source of IncomeMean a (SD)Share of the Sample (%)
Forest subsistence income
(unprocessed products)
2630.7 (2677.2)27.1 (15.8)
Charcoal income (processed forest product)2224.0 (6690.9)22.9 (39.4)
Crop income, subsistence1457.5 (1482.9)15.0 (8.7)
Crop income, cash 1928.5 (3237.7)19.9 (19.1)
Livestock income834.1 (1556.1)8.6 (9.2)
Capture fish income37.2 (114.1)0.4 (0.7)
Off-farm income211.5 (425.6)2.2 (2.5)
Non-farm income374.2 (806.9)3.9 (4.8)
Total household income9697.7 (9770.2)100
a Income is calculated as net values in Zambian kwacha (ZMW). At the time of data collection (2017–2019), 1 USD = 10.13 ZMW [109]. Standard Deviation (SD) in parentheses.
The authors and the editorial office would like to apologize for any inconvenience caused to the readers and state that the scientific conclusions are unaffected. The original article has been updated.

Reference

  1. Kazungu, M.; Zhunusova, E.; Kabwe, G.; Günter, S. Household-Level Determinants of Participation in Forest Support Programmes in the Miombo Landscapes, Zambia. Sustainability 2021, 13, 2713. [Google Scholar] [CrossRef]
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Kazungu, M.; Zhunusova, E.; Kabwe, G.; Günter, S. Correction: Kazungu et al. Household-Level Determinants of Participation in Forest Support Programmes in the Miombo Landscapes, Zambia. Sustainability 2021, 13, 2713. Sustainability 2021, 13, 5806. https://doi.org/10.3390/su13115806

AMA Style

Kazungu M, Zhunusova E, Kabwe G, Günter S. Correction: Kazungu et al. Household-Level Determinants of Participation in Forest Support Programmes in the Miombo Landscapes, Zambia. Sustainability 2021, 13, 2713. Sustainability. 2021; 13(11):5806. https://doi.org/10.3390/su13115806

Chicago/Turabian Style

Kazungu, Moses, Eliza Zhunusova, Gillian Kabwe, and Sven Günter. 2021. "Correction: Kazungu et al. Household-Level Determinants of Participation in Forest Support Programmes in the Miombo Landscapes, Zambia. Sustainability 2021, 13, 2713" Sustainability 13, no. 11: 5806. https://doi.org/10.3390/su13115806

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop