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Analysis on Priority Order and Influencing Factors of Forest Farmers Demand for Forest Reform Policy - A Case Study in Jiangxi, China

Received: 7 September 2019     Accepted: 27 September 2019     Published: 15 October 2019
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Abstract

This paper analyzed forest farmers’ priority demands for forest reform policies through average linkage clustering analysis and multinomial logistic regression model by applying survey data of 500 households in Jiangxi province. The results indicated that the subsidy policies is the most needed policies followed by the forestry science and technology service policy, and financial services. In addition multinomial logistic regression model analysis was used to study what factors influence farmers’priority demand for forest reform policies. The empirical results show that the age of head of household, the area of household forest land, whether forest farmers have participated in forest right mortgage loans and forest insurance significantly affect the demand of forest farmers for forest reform policy. Finally, some pertinent suggestions were put forward to promote the collective forest reform.

Published in Humanities and Social Sciences (Volume 7, Issue 5)
DOI 10.11648/j.hss.20190705.14
Page(s) 164-170
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2019. Published by Science Publishing Group

Keywords

Forest Reform Policies, Demand Priority, Influencing Factors

References
[1] Decision of the CPC Central Committee and the State Council on speeding up Forestry Development [EB/OL] (2003-09-11) [2013-12-02] http://news.xinhuanet.com/zhengfu/2003-09/11/content1075042.htm
[2] ShiWuxiang, Chongsuvivatwong The influence of the rural health security schemes on health utilization and household impoverishment in rural China: data from a household survey of western and central China [J]. International Journal for Equity in Health, 2010, 9 (1).
[3] John Herbert Ainembabazi, Arild Angelsen. Do commercial forest plantations reduce pressure on natural forests? Evidence from forest policy reforms in Uganda [J]. Forest Policy and Economics, 2014, 40.
[4] Oyvind Nystad Handberg, Arild Angelsen. Pay little, get little; pay more, get a little more: A framed forest experiment in Tanzania [J]. Ecological Economics, 2016.
[5] Rebecca A. Efroymson, Keith L. Kline, Arild Angelsen, Peter H. Verburg, Virginia H. Dale, Johannes W. A. Langeveld, Allen McBride. A causal analysis framework for land-use change and the potential role of bio-energy policy [J]. Land Use Policy, 2016, 59.
[6] Arild Angelsen. Agricultural expansion and deforestation: modelling the impact of population, market forces and property rights [J]. Journal of Development Economics, 1999, 58 (1).
[7] Liu Zhenbin, The analysis of the change of the scale of the forest land after the reform of the collective forest right system _ based on the empirical study of the typical sample village in fujian [j]. Rural Economy, 2016 (01): 44-49.
[8] Felipe Arias Fogliano de Souza Cunha, Jan Börner, Sven Wunder, Carlos Alberto Nunes Cosenza, André F. P. Lucena. The implementation costs of forest conservation policies in Brazil [J]. Ecological Economics, 2016, 130.
[9] Belcher B, Achdiawan R, Dewi S. Forest-Based Livelihoods Strategies Conditioned by Market Remoteness and Forest Proximity in Jharkhand, India [J]. World Development, 2015, 66: 269-279.
[10] Lawrence Hammerton. Statistical analysis with STATA [M]. Guo Zhigang, translated. Chongqing: Chongqing University Press, 2011: 293-297.
[11] Guangping Miao, R. A. Chinese Collective Forestlands: Contributions and Constraints. West. International Forestry Review. 2004.
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  • APA Style

    Hui Xiao, Fangting Xie, Shubin Zhu, Caiwang Ning. (2019). Analysis on Priority Order and Influencing Factors of Forest Farmers Demand for Forest Reform Policy - A Case Study in Jiangxi, China. Humanities and Social Sciences, 7(5), 164-170. https://doi.org/10.11648/j.hss.20190705.14

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    ACS Style

    Hui Xiao; Fangting Xie; Shubin Zhu; Caiwang Ning. Analysis on Priority Order and Influencing Factors of Forest Farmers Demand for Forest Reform Policy - A Case Study in Jiangxi, China. Humanit. Soc. Sci. 2019, 7(5), 164-170. doi: 10.11648/j.hss.20190705.14

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    AMA Style

    Hui Xiao, Fangting Xie, Shubin Zhu, Caiwang Ning. Analysis on Priority Order and Influencing Factors of Forest Farmers Demand for Forest Reform Policy - A Case Study in Jiangxi, China. Humanit Soc Sci. 2019;7(5):164-170. doi: 10.11648/j.hss.20190705.14

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  • @article{10.11648/j.hss.20190705.14,
      author = {Hui Xiao and Fangting Xie and Shubin Zhu and Caiwang Ning},
      title = {Analysis on Priority Order and Influencing Factors of Forest Farmers Demand for Forest Reform Policy - A Case Study in Jiangxi, China},
      journal = {Humanities and Social Sciences},
      volume = {7},
      number = {5},
      pages = {164-170},
      doi = {10.11648/j.hss.20190705.14},
      url = {https://doi.org/10.11648/j.hss.20190705.14},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.hss.20190705.14},
      abstract = {This paper analyzed forest farmers’ priority demands for forest reform policies through average linkage clustering analysis and multinomial logistic regression model by applying survey data of 500 households in Jiangxi province. The results indicated that the subsidy policies is the most needed policies followed by the forestry science and technology service policy, and financial services. In addition multinomial logistic regression model analysis was used to study what factors influence farmers’priority demand for forest reform policies. The empirical results show that the age of head of household, the area of household forest land, whether forest farmers have participated in forest right mortgage loans and forest insurance significantly affect the demand of forest farmers for forest reform policy. Finally, some pertinent suggestions were put forward to promote the collective forest reform.},
     year = {2019}
    }
    

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  • TY  - JOUR
    T1  - Analysis on Priority Order and Influencing Factors of Forest Farmers Demand for Forest Reform Policy - A Case Study in Jiangxi, China
    AU  - Hui Xiao
    AU  - Fangting Xie
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    AU  - Caiwang Ning
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    DO  - 10.11648/j.hss.20190705.14
    T2  - Humanities and Social Sciences
    JF  - Humanities and Social Sciences
    JO  - Humanities and Social Sciences
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    EP  - 170
    PB  - Science Publishing Group
    SN  - 2330-8184
    UR  - https://doi.org/10.11648/j.hss.20190705.14
    AB  - This paper analyzed forest farmers’ priority demands for forest reform policies through average linkage clustering analysis and multinomial logistic regression model by applying survey data of 500 households in Jiangxi province. The results indicated that the subsidy policies is the most needed policies followed by the forestry science and technology service policy, and financial services. In addition multinomial logistic regression model analysis was used to study what factors influence farmers’priority demand for forest reform policies. The empirical results show that the age of head of household, the area of household forest land, whether forest farmers have participated in forest right mortgage loans and forest insurance significantly affect the demand of forest farmers for forest reform policy. Finally, some pertinent suggestions were put forward to promote the collective forest reform.
    VL  - 7
    IS  - 5
    ER  - 

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Author Information
  • Department of Economics and Management, Jiangxi Agricultural University, Nanchang, China

  • Institute of Rural Development, Jiangxi Agricultural University, Nanchang, China

  • Institute of Rural Development, Jiangxi Agricultural University, Nanchang, China

  • Department of Economics and Management, Jiangxi Agricultural University, Nanchang, China

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