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Journal of Forests

March 2019, Volume 6, 1, pp 15-22

Dynamic Shift-Share Analysis of Forestry Industry Structure and Competitiveness in Heilongjiang Province

Pingxia Wu

,

Yunliang Jiang

Pingxia Wu 1

Yunliang Jiang 2

  1. School of Economics and Finance, Shanghai International Studies University, Shanghai, P. R. China. 1

  2. College of Economics and Management, Northeast Forestry University, Harbin, P. R. China. 2

on Google Scholar
on PubMed

Pages: 15-22

DOI: 10.18488/journal.101.2019.61.15.22

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Article History:

Received: 04 June, 2019
Revised: 08 July, 2019
Accepted: 13 August, 2019
Published: 19 September, 2019


Abstract:

Since 2014, commercial natural forest cutting is prohibited in state-owned forest areas in Heilongjiang Province, which has affected the traditional forestry economy in Heilongjiang Province. The restructuring and optimization of the forestry industry in Heilongjiang is imminent. Based on the data of forestry output value of Heilongjiang Province from 2002 to 2016, this paper explores the law of forestry economic growth and industrial structure evolution in Heilongjiang Province through the dynamic shift-share analysis method (DSSA).The results show that the economic growth rate of forestry industry in Heilongjiang Province is higher than the national average. The primary industry is still a basic leading industry, the secondary and tertiary industries of forestry are highly dependent on the primary industry. The secondary industry lacks sufficient competitiveness, the technical content of processed products is low, lacking deep processing and fine processing, and the industry needs to be optimized. The tertiary industry accounts for a low proportion, the forest tourism service in Heilongjiang is relatively backward in the country, and it is necessary to further explore the leisure tourism service suitable for Heilongjiang. In order to optimize the industrial structure and promote the economic development of Heilongjiang Province, this paper proposes concrete countermeasures such as extending the industrial chain, developing non-wood forest products, and developing forest tourism and leisure services.
Contribution/ Originality
This study is one of very few studies which have investigated the structural evolution and structural optimization of three industries in Heilongjiang Province in recent years and the relationship between Heilongjiang's economic development and forestry's three industrial structures.

Keywords:

Forestry industry, The dynamic shift-share analysis method, Industrial structure optimize, Economic growth, Evolution of industrial structure, Sustainable development, Extend industrial chain.

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Reference:

[1]          J. Qiu, S. Chen, and R. Zhao, "Correlation analysis and future development forecast of China's forestry industry," Forestry Economy, vol. 40, pp. 11-15, 2018.

[2]          X. Xiao, Y. Peng, and L. Shaolin, "China's optimal industrial structure: Theoretical model and quantitative measurement," Economics (Quarterly), vol. 11, pp. 135-162, 2012.

[3]          Y. Zhe, "The trend of forestry industry change and DEA efficiency measurement in Heilongjiang province," Forestry Science and Technology, vol. 42, pp. 58-62, 2017.

[4]          L. Hao, B. Zhang, and L. Jiehua, "Study on the transformation trend of forestry industry structure based on markov transfer matrix——taking Heilongjiang province as an example," Forestry Economics, vol. 39, pp. 26-32, 2017.

[5]          E. S. Dunn, "A statistical and analytical technique for regional analysis," Papers in Regional Science, vol. 6, pp. 97-112, 1960. Available at: https://doi.org/10.1111/j.1435-5597.1960.tb01705.x.

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Funding:

The research contained in this paper has been carried out partly under a supervised graduate-student research project of Shanghai International Studies University (Project No. 41003643). The authors thus thank the funding support from this project.

Competing Interests:

The authors declare that they have no competing interests.

Acknowledgement:

Both authors contributed equally to the conception and design of the study.

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