A Decade Trend of Total Factor Productivity of Key State-Owned Forestry Enterprises in China
Abstract
:1. Introduction
2. Methodology and Data
2.1. Methodology
2.2. Data Acquisition and Index Selection
3. Results Comparison Based on Malmquist–DEA Model
3.1. Analysis of TFP Change from Time Dimension
3.2. Analysis of TFP Change from Spatial Dimension
4. Discussion and Conclusions
4.1. Discussion
4.2. Conclusions
Acknowledgments
Author Contributions
Conflicts of Interest
Abbreviations
TFP | Total factor productivity |
NFPP | The Natural Forest Protection Project |
DEA | Data envelopment analysis |
SEC | Scale efficiency change |
MPI | Malmquist productivity index |
DMU | Decision-making unit |
EC | Efficiency change |
TC | Technical change |
PEC | Pure technical efficiency change |
GDP | The gross domestic product |
TFPC | Total factor productivity change |
CWDP | China’s Western Development Program |
References
- State Forestry Administration. China Forestry Development Report; Chinese Forestry Press: Beijing, China, 2012; pp. 1–6.
- Yang, H.; Nie, Y.; Ji, C. Study on China’s timber resource shortage and import structure: National Forest Protection Program outlook, 1998 to 2008. For. Prod. J. 2010, 60, 408–414. [Google Scholar] [CrossRef] [Green Version]
- Wang, C.; Lee, J.; Chang, Y. Measuring productivity in the biotechnology industry using the global Malmquist index. Appl. Econ. Lett. 2012, 19, 807–812. [Google Scholar] [CrossRef]
- Hulten, C.R. Total Factor Productivity: A Short Biography; University of Chicago Press: Chicago, IL, USA, 2001; pp. 1–54. [Google Scholar]
- Kalirajan, K.P.; Obwona, M.B.; Zhao, S. A decomposition of total factor productivity growth: The case of Chinese agricultural growth before and after reforms. Am. J. Agric. Econ. 1996, 78, 331–338. [Google Scholar] [CrossRef]
- Prescott, E.C. Lawrence R. Klein lecture 1997: Needed: A theory of total factor productivity. Int. Econ. Rev. 1998, 39, 525–551. [Google Scholar] [CrossRef]
- Limaei, S.M. Efficiency of Iranian forest industry based on DEA models. J. For. Res. 2013, 24, 759–765. [Google Scholar] [CrossRef]
- Zadmirzaei, M.; Limaei, S.; Amirteimoori, A. Efficiency analysis of paper mill using Data Envelopment Analysis models (case study: Mazandaran Wood and Paper Company in Iran). For. Prod. J. 2014, 64, 90–96. [Google Scholar]
- Coelli, T.; Rao, D.; O’Donnell, C.; Battese, G. An Introduction to Efficiency and Productivity Analysis, 2nd ed.; Springer Science + Business Media, Inc.: Berlin, Germany, 2005; pp. 25–55. [Google Scholar]
- Nyrud, A.; Baardse, S. Production efficiency and productivity growth in Norwegian sawmilling. For. Sci. 2003, 49, 89–97. [Google Scholar]
- Tarareh, S.; Saba, V. Malmquist productivity index of the manufacturing sector in Canada from 1994 to 2002, with a focus on the wood manufacturing sector. Scand. J. For. Res. 2006, 21, 424–433. [Google Scholar]
- Neda, S.; Tarareh, S. Dynamic efficiency analysis of primary wood producers in British Columbia. Math. Comput. Modell. 2007, 45, 1179–1188. [Google Scholar]
- Chinang, K. Malmquist productivity index based on common-weights DEA: The case of Taiwan forests after reorganization. Omega 2010, 38, 484–491. [Google Scholar]
- Liu, C.; Yu, F. Efficiency analysis of the Northeast national forest enterprise: DEA approach. Rev. Ind. Econ. 2006, 5, 107–120. [Google Scholar]
- Yang, W. Empirical study on TFP of Chinese forestry: DEA approach. J. Beijing For. Univ. 2010, 22, 9–10. [Google Scholar]
- Wang, Y.; Han, W. Study on China forest fund utilization efficiency—Based on Dea-Malmquist productivity index. For. Econ. 2012, 8, 95–100. [Google Scholar]
- Chen, X.; Gen, Y.; Yu, X. The analysis of the total factor productivity and its influencing factors of forest industry in state-owned region in Heilongjiang province. Probl. For. Econ. 2012, 32, 50–59. [Google Scholar]
- Farrell, M. The measurement of productive efficiency. J. R. Stat. Soc. 1957, 120, 253–281. [Google Scholar] [CrossRef]
- Charnes, A.; Cooper, W.; Rhodes, E. Measuring the efficiency of decision making units. Eur. J. Oper. Res. 1978, 2, 429–444. [Google Scholar] [CrossRef]
- Sten, M. Index numbers and indifference surfaces. Trab. Estad. Investig. Oper. 1953, 4, 209–242. [Google Scholar]
- Shephard, R. Cost and Production Functions; Princeton University Press: New Jersey, NJ, USA, 1953; pp. 1–104. [Google Scholar]
- Caves, G.; Christensen, L.; Diewert, W. The economic theory of index numbers and the measurement of input, output, and productivity. Econometrica 1982, 50, 1393–1414. [Google Scholar] [CrossRef]
- Fare, R.; Grosskopf, S.; Lindgren, S.; Roos, P. Productivity change in Swedish pharmacies 1980–1989: A non-parametric Malmquist approach. J. Prod. Anal. 1992, 3, 85–101. [Google Scholar] [CrossRef]
- Fare, R.; Grosskopf, S.; Norris, M.; Zhang, Z. Productivity growth, technical progress and efficiency change in industrialized countries. Am. Econ. Rev. 1994, 84, 66–83. [Google Scholar]
- State Forestry Administration. Advice of State Forestry Administration on the Strict Natural Forest Management. Available online: http://nc.mofcom.gov.cn/news/5402499.html (accessed on 31 March 2016).
- Wang, L.; Wei, H. Progress of Western China development drive, and evaluation of the results. China World Econ. 2004, 12, 20–33. [Google Scholar]
- Liu, S.; Wang, Y.; Hu, A. The effect of Western Development Program and regional economic convergence in China. Econ. Res. J. 2009, 9, 94–105. [Google Scholar]
- Wang, X.; Fan, G. Analysis on the regional disparity in China and the influential factors. Econ. Res. J. 2004, 1, 33–44. [Google Scholar]
- Lin, Y.; Pan, S. Information asymmetry, adverse selection and economic development. J. World Econ. 2006, 1, 3–12. [Google Scholar]
- Huang, W. Information symmetry, market demand and technological innovation of enterprises. Reform Econ. Syst. 2009, 4, 65–69. [Google Scholar]
- He, H.; Weng, Q. Ownership, autonomy, incentives and efficiency: Evidence from the forest product processing industry in China. J. For. Econ. 2012, 18, 177–193. [Google Scholar] [CrossRef]
- Mather, A.S. Recent Asian forest transitions in relation to forest-transition theory. Int. For. Rev. 2007, 9, 491–502. [Google Scholar]
- Marco, A.; Wander, J. Fashions, habits and changing preferences: Simulation of psychological factors affecting market dynamics. J. Econ. Psychol. 2001, 22, 745–772. [Google Scholar]
- Hang, Q.; Tan, X. Analysis on the influencing factors of farmers’ irrigation technology selection. Chin. Rural Econ. 2004, 1, 63–69. [Google Scholar]
- Zheng, Y. The measures of total factor productivity and the ‘phasic’ rules of economic growth—A debate on the way of economic growth in East Asia. Econ. Res. J. 1999, 5, 55–60. [Google Scholar]
- Forestry Commission. International Markets in Wood Products. Available online: http://www.forestry.gov.uk/pdf/FCIN060.pdf/$FILE/FCIN060.pdf (accessed on 31 March 2016).
- German, C.; Ravikumar, B.; Gustavo, V. Talent, Labor Quality, and Economic Development; Research Division Federal Reserve Bank of Saint Louis: Saint Louis, MO, USA, 2013. [Google Scholar]
- Phillip, T. Workforce Skills and Innovation: An Overview of Major Themes in the Literature; OECD Directorate for Science, Technology and Industry, Centre for Educational Research and Innovation: Paris, France, 2011. [Google Scholar]
Item | Indicators | Definition |
---|---|---|
Input | Fixed investment fund | Investment used for basic construction and upgrading (Investment in machinery and equipment positively affects economic and productivity growth.) |
Number of on-the-job workers | The number of the on-the-job workers is an important indicator of the proportion of logging enterprises in state-owned forest regions to the national economy. | |
Total costs | Indispensable direct costs of production and sales of products and services of the state-owned forestry enterprise | |
Output | Sales | Total sales revenue of main product of the state-owned forestry enterprise in a given period. This revenue reflects the operation and management status of the enterprise. |
Total output | The total output of the state-owned forestry enterprise in a given period is an important indicator of economic output. |
Period | Efficiency Change (EC) | Technical Change (TC) | Pure Technical Efficiency Change (PEC) | Scale Efficiency Change (SEC) | Total Factor Productivity Change (TFPC) |
---|---|---|---|---|---|
2001–2002 | 0.858 | 1.172 | 1.046 | 0.820 | 1.006 |
2002–2003 | 1.315 | 2.196 | 1.010 | 1.302 | 2.887 |
2003–2004 | 0.890 | 1.074 | 0.903 | 0.986 | 0.956 |
2004–2005 | 1.096 | 1.124 | 1.106 | 0.991 | 1.232 |
2005–2006 | 0.983 | 1.173 | 0.978 | 1.005 | 1.153 |
2006–2007 | 1.136 | 0.927 | 1.028 | 1.105 | 1.053 |
2007–2008 | 1.018 | 1.043 | 1.013 | 1.006 | 1.062 |
2008–2009 | 0.864 | 1.284 | 0.907 | 0.953 | 1.109 |
2009–2010 | 1.030 | 1.152 | 1.029 | 1.001 | 1.186 |
2010–2011 | 0.886 | 1.184 | 0.978 | 0.906 | 1.049 |
Average | 0.999 | 1.199 | 0.998 | 1.001 | 1.198 |
Region | Efficiency Change (EC) | Technical Change (TC) | Pure Technical Efficiency Change (PEC) | Scale Efficiency Change (SEC) | Total Factor Productivity Change (TFPC) | |
---|---|---|---|---|---|---|
China | 0.990 | 1.118 | 1.000 | 0.990 | 1.107 | |
Northeast | Inner Mongolia | 0.920 | 1.108 | 0.927 | 0.992 | 1.019 |
Jilin | 1.000 | 1.129 | 1.000 | 1.000 | 1.129 | |
Longjiang Group | 1.000 | 1.118 | 1.000 | 1.000 | 1.118 | |
Great Khingan | 0.990 | 1.110 | 0.993 | 0.996 | 1.099 | |
Southwest | Sichuan | 1.102 | 1.403 | 1.066 | 1.034 | 1.547 |
Yunnan | 0.929 | 1.214 | 1.000 | 0.929 | 1.128 | |
Northwest | Shaanxi | 1.031 | 1.178 | 1.000 | 1.031 | 1.215 |
Gansu | 1.039 | 1.474 | 1.000 | 1.039 | 1.531 |
Period | Efficiency Change (EC) | Technical Change (TC) | Pure Technical Efficiency Change (PEC) | Scale Efficiency Change (SEC) | Total Factor Productivity Change (TFPC) | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
North-east | South-west | North-west | North-east | South-west | North-west | North-east | South-west | North-west | North-east | South-west | North-west | North-east | South-west | North-west | |
2001–2002 | 1.000 | 0.823 | 0.710 | 0.727 | 1.262 | 1.320 | 1.000 | 1.000 | 1.000 | 1.000 | 0.823 | 0.710 | 0.727 | 1.038 | 0.936 |
2002–2003 | 1.000 | 0.622 | 1.588 | 3.363 | 4.460 | 5.838 | 1.000 | 1.000 | 1.000 | 1.000 | 0.622 | 1.588 | 3.363 | 2.773 | 9.273 |
2003–2004 | 1.000 | 0.927 | 1.000 | 1.031 | 0.890 | 1.009 | 1.000 | 0.783 | 1.000 | 1.000 | 1.183 | 1.000 | 1.031 | 0.825 | 1.009 |
2004–2005 | 1.000 | 1.828 | 1.000 | 1.471 | 0.774 | 0.647 | 1.000 | 1.170 | 1.000 | 1.000 | 1.562 | 1.000 | 1.471 | 1.414 | 0.647 |
2005–2006 | 1.000 | 1.202 | 1.000 | 1.031 | 0.859 | 0.779 | 1.000 | 1.091 | 1.000 | 1.000 | 1.101 | 1.000 | 1.031 | 1.033 | 0.779 |
2006–2007 | 1.000 | 0.970 | 1.000 | 0.786 | 1.079 | 1.107 | 1.000 | 1.000 | 1.000 | 1.000 | 0.970 | 1.000 | 0.786 | 1.046 | 1.107 |
2007–2008 | 1.000 | 0.688 | 1.000 | 0.955 | 1.406 | 1.904 | 1.000 | 1.000 | 1.000 | 1.000 | 0.688 | 1.000 | 0.955 | 0.968 | 1.904 |
2008–2009 | 1.000 | 1.389 | 1.000 | 1.122 | 0.955 | 0.913 | 1.000 | 1.000 | 1.000 | 1.000 | 1.389 | 1.000 | 1.122 | 1.326 | 0.913 |
2009–2010 | 1.000 | 0.713 | 1.000 | 0.988 | 1.203 | 1.221 | 1.000 | 1.000 | 1.000 | 1.000 | 0.713 | 1.000 | 0.988 | 0.858 | 1.221 |
2010–2011 | 1.000 | 0.892 | 1.000 | 0.889 | 1.139 | 1.200 | 1.000 | 1.000 | 1.000 | 1.000 | 0.892 | 1.000 | 0.889 | 1.015 | 1.200 |
Average | 1.000 | 0.952 | 1.012 | 1.109 | 1.208 | 1.272 | 1.000 | 1.000 | 1.000 | 1.000 | 0.952 | 1.012 | 1.109 | 1.150 | 1.287 |
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Yang, H.; Yuan, T.; Zhang, X.; Li, S. A Decade Trend of Total Factor Productivity of Key State-Owned Forestry Enterprises in China. Forests 2016, 7, 97. https://doi.org/10.3390/f7050097
Yang H, Yuan T, Zhang X, Li S. A Decade Trend of Total Factor Productivity of Key State-Owned Forestry Enterprises in China. Forests. 2016; 7(5):97. https://doi.org/10.3390/f7050097
Chicago/Turabian StyleYang, Hongqiang, Tian Yuan, Xiaobiao Zhang, and Suyan Li. 2016. "A Decade Trend of Total Factor Productivity of Key State-Owned Forestry Enterprises in China" Forests 7, no. 5: 97. https://doi.org/10.3390/f7050097
APA StyleYang, H., Yuan, T., Zhang, X., & Li, S. (2016). A Decade Trend of Total Factor Productivity of Key State-Owned Forestry Enterprises in China. Forests, 7(5), 97. https://doi.org/10.3390/f7050097