首页 » 文章 » 文章详细信息
International Journal of Forestry Research Volume 2016 ,2016-09-18
Modelling Analysis of Forestry Input-Output Elasticity in China
Research Article
Guofeng Wang 1 Jiancheng Chen 1 Xiangzheng Deng 2 , 3
Show affiliations
DOI:10.1155/2016/4970801
Received 2016-04-22, accepted for publication 2016-08-28, Published 2016-08-28
PDF
摘要

Based on an extended economic model and space econometrics, this essay analyzed the spatial distributions and interdependent relationships of the production of forestry in China; also the input-output elasticity of forestry production were calculated. Results figure out there exists significant spatial correlation in forestry production in China. Spatial distribution is mainly manifested as spatial agglomeration. The output elasticity of labor force is equal to 0.6649, and that of capital is equal to 0.8412. The contribution of land is significantly negative. Labor and capital are the main determinants for the province-level forestry production in China. Thus, research on the province-level forestry production should not ignore the spatial effect. The policy-making process should take into consideration the effects between provinces on the production of forestry. This study provides some scientific technical support for forestry production.

授权许可

Copyright © 2016 Guofeng Wang et al. 2016
This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

图表

Local Moran’s index based on W Q u e e n 1 .

通讯作者

Jiancheng Chen.School of Economics and Management, Beijing Forestry University, Beijing 100083, China, bjfu.edu.cn.chenjc_bjfu@hotmail.com

推荐引用方式

Guofeng Wang,Jiancheng Chen,Xiangzheng Deng. Modelling Analysis of Forestry Input-Output Elasticity in China. International Journal of Forestry Research ,Vol.2016(2016)

您觉得这篇文章对您有帮助吗?
分享和收藏
0

是否收藏?

参考文献
[1] A. E. Duchelle, M. Cromberg, M. F. Gebara, R. Guerra. et al.(2014). Linking forest tenure reform, environmental compliance, and incentives: lessons from REDD+ initiatives in the Brazilian Amazon. World Development.55:53-67. DOI: 10.1016/j.worlddev.2013.01.014.
[2] C. Wang, Y. Wen, J. Wu. (2014). The Socio-economic effect of the reform of the collective forest rights system in Southern China: a case of Tonggu County, Jiangxi Province. Small-Scale Forestry.13(4):425-444. DOI: 10.1016/j.worlddev.2013.01.014.
[3] U. Moallem. (2016). Future consequences of decreasing marginal production efficiency in the high-yielding dairy cow. Journal of Dairy Science.99(4):2986-2995. DOI: 10.1016/j.worlddev.2013.01.014.
[4] B. Hu, M. McAleer. (2005). Estimation of Chinese agricultural production efficiencies with panel data. Mathematics and Computers in Simulation.68(5-6):474-483. DOI: 10.1016/j.worlddev.2013.01.014.
[5] L. P. Sun. (2010). Spatial analysis of the evolvement of urban and rural economic disparity in yunnan province, China. Asian Agricultural Research.2(6). DOI: 10.1016/j.worlddev.2013.01.014.
[6] M. Lio, M.-C. Liu. (2008). Governance and agricultural productivity: a cross-national analysis. Food Policy.33(6):504-512. DOI: 10.1016/j.worlddev.2013.01.014.
[7] Z. Li, X. Deng, Q. Shi, X. Ke. et al.(2013). Modeling the impacts of boreal deforestation on the near-surface temperature in European Russia. Advances in Meteorology.2013-9. DOI: 10.1016/j.worlddev.2013.01.014.
[8] D. P. Faith, P. A. Walker, J. R. Ive, L. Belbin. et al.(1996). Integrating conservation and forestry production: exploring trade-offs between biodiversity and production in regional land-use assessment. Forest Ecology and Management.85(1–3):251-260. DOI: 10.1016/j.worlddev.2013.01.014.
[9] X. Deng, J. Huang, E. Uchida, S. Rozelle. et al.(2011). Pressure cookers or pressure valves: do roads lead to deforestation in China?. Journal of Environmental Economics and Management.61(1):79-94. DOI: 10.1016/j.worlddev.2013.01.014.
[10] F. Y. T. S. L. Zengyuan. (2004). Application of spatial statistic analysis in forestry. Scientia Silvae Sinicae.3, article 25. DOI: 10.1016/j.worlddev.2013.01.014.
[11] X. W. Yu, H. Y. Liu, Y. C. Yang, X. Zhang. et al.(2013). Geoserver based forestry spatial data sharing and integration. Applied Mechanics and Materials.295–298:2394-2398. DOI: 10.1016/j.worlddev.2013.01.014.
[12] J. J. Troncoso, R. A. Garrido. (2005). Forestry production and logistics planning: an analysis using mixed-integer programming. Forest Policy and Economics.7(4):625-633. DOI: 10.1016/j.worlddev.2013.01.014.
[13] P. C. Beukes, P. Gregorini, A. J. Romera, G. Levy. et al.(2010). Improving production efficiency as a strategy to mitigate greenhouse gas emissions on pastoral dairy farms in New Zealand. Agriculture, Ecosystems & Environment.136(3-4):358-365. DOI: 10.1016/j.worlddev.2013.01.014.
[14] A. M. Larson, D. Barry, G. Ram Dahal. (2010). New rights for forest-based communities? Understanding processes of forest tenure reform. International Forestry Review.12(1):78-96. DOI: 10.1016/j.worlddev.2013.01.014.
[15] G. Fu, M. Shah, E. Uchida, X. Deng. et al.Impact of the Grain for Green program on forest cover in China. . DOI: 10.1016/j.worlddev.2013.01.014.
[16] J.-P. Chavas, R. Petrie, M. Roth. (2005). Farm household production efficiency: evidence from the Gambia. American Journal of Agricultural Economics.87(1):160-179. DOI: 10.1016/j.worlddev.2013.01.014.
[17] G. Holloway, D. Lacombe, J. P. LeSage. (2007). Spatial econometric issues for bio‐economic and land‐use modelling. Journal of Agricultural Economics.58(3):549-588. DOI: 10.1016/j.worlddev.2013.01.014.
[18] P. Jagger. (2008). Forest Incomes after Uganda's Forest Sector Reform: Are the Rural Poor Gaining?. DOI: 10.1016/j.worlddev.2013.01.014.
[19] R. M. Solow. (1957). Technical change and the aggregate production function. The Review of Economics and Statistics.39(3):312-320. DOI: 10.1016/j.worlddev.2013.01.014.
[20] M. Ma, T. Haapanen, R. B. Singh, R. Hietala. et al.(2014). Integrating ecological restoration into CDM forestry projects. Environmental Science & Policy.38:143-153. DOI: 10.1016/j.worlddev.2013.01.014.
[21] Y. Zhu, H. Lan, D. A. Ness, K. Xing. et al.(2015). Carbon trade, forestry land rights, and farmers' livelihood in rural communities in China. Transforming Rural Communities in China and Beyond: Community Entrepreneurship and Enterprises, Infrastructure Development and Investment Modes:61-91. DOI: 10.1016/j.worlddev.2013.01.014.
文献评价指标
浏览 395次
下载全文 124次
评分次数 0次
用户评分 0.0分
分享 0次