Speed and Contribution of Educational Scientific and Technological Progress in Development of Primary Forestry Industry in China
,
 
,
 
,
 
 
 
More details
Hide details
1
School of Public Affairs, Zhejiang University, Hangzhou 310082, China
 
2
Faculty of Economics and Management, Zhejiang A&F University, Lin’an 311300, China
 
 
Online publication date: 2017-06-26
 
 
Publication date: 2017-06-26
 
 
Corresponding author
Chengjun Wang   

School of Public Affairs, Zhejiang University, Hangzhou 310082, China Faculty of Economics and Management, Zhejiang A&F University, Lin’an 311300, China
 
 
EURASIA J. Math., Sci Tech. Ed 2017;13(8):5247-5260
 
KEYWORDS
ABSTRACT
Our purpose is to analyse the speed and contribution of the educational scientific and technological progress in the development of the primary forestry industry. In order to research the role of the educational scientific and technological progress in the development of the primary forestry industry more scientifically, the article employs the modified multi-factor two-level CES production function model, and the data from 31 provinces over 19 years (1994-2012), to measure and calculate the speed and contribution of the educational scientific and technological progress in the development of the primary forestry industry from the two dimensions, time and space. The speed of educational scientific and technological progress in the primary forestry industry was 2.8% from 1994 to 2012, and the contribution rate of educational scientific and technological progress to the development of the primary forestry industry was 49.6%. Through the measuring and calculating of different periods, it is found that there were big differences between different periods regarding to the contribution of the educational scientific and technological progress to the development of the primary forestry industry, and the contribution grew quickly in the last few years. Through the measuring and calculating of different areas, it is found that there were huge differences between different areas regarding to the contribution of the educational scientific and technological progress to the development of the primary forestry industry, due to the difference in nature, society and economic environment. Along with the development of the economy, the structure of the forestry industry needs important changes. The dominating status of the primary forestry industry in the forestry industry should be strengthened. The educational science and technology investment of the primary forestry industry should be boosted, to lead the development of the primary forestry industry onto a path relying on the progress of educational science and technology. In the process of making the development policy and investment policy on the primary forestry industry, it shall not impose uniformity in all cases. On the contrary, the policy shall vary according to the different situations; and it is noticed that the comparative advantages of different areas with different social economic and natural resources shall be exerted.
REFERENCES (27)
1.
Fan, S. G. (1991). Effects of Technological Change and Institutional Reform on Production Growth in Chinese Agriculture. American Journal of Agricultural Economics, 73(2), 266-275. doi:10.2307/1242711.
 
2.
Feng, L. M., & Qiu, X. D. (2009). Measurement and Analysis of Youxi Forestry Educational scientific and technological progress Contribution Rate. Issues of Forestry Economics, 29(5), 461-470. doi:10.3969/j.issn.1005-9709.2009.05.018.
 
3.
Gao, W., Farahani, M. R., Aslam, A., & Hosamani, S. (2017). Distance learning techniques for ontology similarity measuring and ontology mapping. Cluster Computing-The Journal of Networks Software Tools and Applications, 20(2SI), 959-968. doi:10.1007/s10586-017-0887-3.
 
4.
Hashem, A. (2016). Bioremediation of adverse impact of cadmium toxicity on Cassia italica Mill by arbuscular mycorrhizal fungi. Saudi Journal of Biological Sciences, 23(1), 39-47. doi:10.1016/j.sjbs.2015.11.007.
 
5.
He, J. Y. (2012). Several Suggestions on Measuring Productivity in China. Statistical Research, 29(8), 91-97. doi:10.3969/j.issn.1002-4565.2012.08.015.
 
6.
Hu, Y. H., & He, J. J. (2012). Evolution of Forestry Policy in China since 1949. Journal of Beijing Forestry University (Social Sciences), 11(3), 21-27.
 
7.
Huang, M., Guan, Y., & Qiu, F. (2012). Measuring the Contribution Rate of Educational scientific and technological progress of Forestry in China. Anhui Agricultural Science, 40(28), 14152-14154. doi:10.3969/j.issn.0517-6611.2012.28.163.
 
8.
Kao, C., & Yang, Y. C. (1992). Measuring the efficiency of forest management. Forest Sci., 37(5), 1239-1252.
 
9.
Kao, C., & Yang, Y. C. (1992). Reorganization of forest districts via efficiency measurement. European Journal of Operational Research, 58, 356-362. doi:10.1016/0377-2217(92)90066-I.
 
10.
Kong, F. B., Wu, X. P., & Liao, W. M. (2014). Factor Decomposition and Measurement Study on Contribution Rate of Educational scientific and technological progress in Chinese Forestry-Based on Statistics of 31 Provinces (Municipalities and Autonomous Regions) from 2002 to 2012. Journal of Agro-Forestry Economics and Management, 13(4), 420-428.
 
11.
Lei, Y. C. (1996). Theoretical Analysis on the CES Production Function Model and Measurement of Technological Progress. Journal of Central South University of Forestry & Technology, 16(1), 56-60.
 
12.
Li, Z. N., & Pan, W. Q. (2008). Econometrics. Beijing: Higher Education Press, 208p.
 
13.
Liu, C., Li, C. J., Xu, Z. J., Liu, H., Tian, H., & Wu L. L. (2014). Study on China’s Forestry Fiscal Policy. Forestry Economics, 44(1), 60-79. doi:10.13843/j.cnki.lyjj.2014.01.010.
 
14.
Liu, H. B., & Liu, Z. L. (2010). Recycling Utilization Patterns of Coal Mining Waste in China. Resources, Reservation and recycling, (12), 1331-1340.
 
15.
Liu, Z. (2017). China’s strategy for the development of renewable energies. Energy Sources, Part B: Economics, Planning, and Policy, 1-5. doi:10.1080/15567249.2017.1336813.
 
16.
Mi, C., Shen, Y., Mi, W., & Huang, Y. (2015). Ship Identification Algorithm Based on 3D Point Cloud for Automated Ship Loaders. Journal of Coastal Research, (73), 28-34. doi:10.2112/SI73-006.1.
 
17.
Mi, C., Huang, Y., Liu, Z., Mi, W., & Zhang, Z. (2014). A novel experimental teaching approach for electrical engineering based on semi-physical simulation. World Transactions on Engineering and Technology Education, 12(4), 778-783.
 
18.
Nakamura, H., & Nakamura, M. (2008). Constant Elasticity of Substitution Production Function. Macroeconomic Dynamics, 12(5), 694-701. doi:10.1017/S1365100508070302.
 
19.
Nowak, R., Szewczyk, K., Gawlikdziki, U., Rzymowska, J., & Łukasz, K. (2016). Antioxidative and cytotoxic potential of some Chenopodium L. species growing in Poland. Saudi Journal of Biological Sciences, 23(1), 15-23. doi:10.1016/j.sjbs.2015.01.017.
 
20.
Statistics Bureau of People’s Republic of China. (1999). The People’s Republic of China Yearbook Background. Beijing: China Yearbook Press, 483-510p.
 
21.
Wang, X. H., & Huang, Q. L. (2006). Current Situation of Forestry High-Technology Industry in China. World Forestry Research, 19(4), 45-51.
 
22.
Wang, Z. J. (2002). Regional Division of Forestry Work and Structural Adjustment of Regional Forestry in China. Journal of Northeast Forestry University, 30(6), 69-72. doi:10.3969/j.issn.1000-5382.2002.06.020.
 
23.
Wei, Y. Z., Ye, L., Qu, W. D., Xie, B. S. G., & Yu, X. Q. (2012). Analysis on Supply of Forestry Science and Technology on the Background of the New Round Reform to the Forestry Property System in Fujian Province-Based on expert questionnaire. Issues of Forestry Economics, 32(4), 283-289. doi:10.3969/j.issn.1005-9709.2012.04.001.
 
24.
Wu, C. L., & Lin, F. S. (2007). Measurement and Countermeasures of the Contribution Ratio of Forestry Science and Technology Progress in Fujian Province. Issues of Forestry Economics, 27(5), 416-419. doi:10.3969/j.issn.1005-9709.2007.05.008.
 
25.
Wu, C. L., Gao, L., Yuan, G. Y., & Peng, H. (2007). Comparison of Measuring Methods of Contribution Ratio of Forestry. Science and Technology Progress, 6(4), 56-59. doi:10.3969/j.issn.1671-6116.2007.04.011.
 
26.
Yan, Z., & Jiang, H. F. (2002). CES Production Function and Its Application. The Journal of Quantitative & Technical Economics, 32(9), 95-98. doi:10.3969/j.issn.1000-3894.2002.09.022.
 
27.
Zhang, Y. S. (1990). Status Analysis and Prediction of Educational scientific and technological progress in Wuchang Forestry. Hubei Forestry Science and Technology, 74(4), 5-10.
 
eISSN:1305-8223
ISSN:1305-8215
Journals System - logo
Scroll to top