تحلیل اثر سرریزهای تکنولوژی بر رشد بهره‏وری کل عوامل بخش کشاورزی ایران

نوع مقاله : مقالات پژوهشی

نویسندگان

دانشگاه شهید باهنر کرمان

چکیده

بخش کشاورزی ایران، یک بخش سنتی با بهره‏وری اندک است. رشد بهره‏وری می‏تواند نقش مهم و موثری در رشد تولید و افزایش رقابت‏پذیری این بخش داشته باشد. در این مطالعه، نقش سرریزهای تکنولوژی بر بهره‏وری کل عوامل تولید بخش کشاورزی در دوره 1390-1353 مورد بررسی قرار گرفته است. ابتدا بهره‏وری کل عوامل از روش کندریک محاسبه گردید. همچنین سرریزهای تکنولوژی با استفاده از دو شاخص سرریز از کانال واردات کالاهای سرمایه‏ای و سرریز از کانال سرمایه‏گذاری مستقیم خارجی محاسبه گردید. سپس با استفاده از مدل خود توضیح-برداری با وقفه‏های توزیعی (ARDL)، اثر سرریزها بر بهره‏وری کل بخش کشاورزی برآورد گردید. نتایج مطالعه رابطه بلندمدت میان سرریزهای تکنولوژی و بهره‏وری کل بخش کشاورزی را تأیید می‏کند اما در کوتاه‏مدت تنها شاخص سرریز از کانال سرمایه‏گذاری مستقیم خارجی تأثیر مثبت بر بهره‏وری داشته است. از این‏رو پیشنهاد می‏شود توانایی جذب علم و تکنولوژی خارجی در بخش کشاورزی از طریق مهیا نمودن زیرساخت‏های لازم، افزایش یابد.

کلیدواژه‌ها


عنوان مقاله [English]

Analysis the Impact of Technology Spillovers on Total Factor Productivity of Agricultural Sector in Iran

نویسندگان [English]

  • M. Baniasadi
  • S.A. Jala’ee Esfandabadi
Shahid Bahonar University of Kerman
چکیده [English]

Introduction: The growth of agricultural production and natural resources are from primary objectives of any political system, because this section has a vital role in providing food security. According to the production theories, production growth will come from two sources; more use of production factors within the framework of existing technologies and second, with using more advanced and more efficient production methods and effective use of production factors. In fact, the second one is tied to the concept of productivity. New and efficient technologies are the most important factor for productivity growth. Technology was enhanced through internal and external sources. External sources include spillover technology from developed countries into another country. Empirical evidence on the impact of spillover technology on productivity growth of indigenous producer is vague. One perspective proposes that FDI, technology transferred from developed countries has positive effects on developing countries and another perspective is against it. This paper explores the role of technological spillover on total factor productivity (TFP) growth in agricultural sectors of Iran uses time series data during 1971-2011.
Materials and Methods: In this study, Kendrick model was used to calculate total factor productivity. After calculating productivity, affective factors on it, were examined through ARDL model. The aim of this study is examination of technology spillover on the productivity of agricultural sectors. The degree of technology diffusion grows with increase in technology distance between the hosts and the foreign countries. The greater the technology distance, the more difficult it becomes for developing countries to boost independent innovation. To calculate the index of technology spillover, commercial partners should be considered that are more advanced in science and technology than Iran. For this purpose, commercial partners in this study are Group of Eight developed countries (D8) plus China. Technology spillover indexes are thus decomposed into two components: Imports of capital goods and foreign direct investment (FDI). Index of capital goods imports measures imports of capital goods from major commercial partners of Iran (D8 countries and china). Foreign direct investment (FDI) represents the share of foreign capital in agricultural sectors. Therefore, the empirical analysis of the technology spillover on the productivity of agricultural sectors is based on theatrical framework and ARDL model.
Results and Discussion: According to the results of the ARDL model, technological spillover effect on the TFP of agricultural sector, in long-term shows that technology spillover has a positive and significant effect on agricultural productivity from both channels of capital goods import and foreign direct investment (FDI). But in short-term spillover variable from a capital goods import channel is not significant. This indicates that absorption of the technology from imports of capital goods channel do not perform very well and probably low-tech and without affecting on TFP of agriculture sector is imported. But in long-term technology spillover from imports channels also had a positive impact on total factor productivity of the agricultural sector. In fact, high technologies in long-term can be absorbed through the imports and influenced on TFP. According to thesis study results, the estimated coefficient of error correction term is equal to 0.53.This means that in each period, 53 percent of imbalances of agricultural TFP will be resolved. The average speed of upward of adjustment reflects the fact that in Iran economy, deviations and imbalances have arisen in the agricultural sector TFP caused by technology spillovers shocks, move very fast towards long-run equilibrium.
Conclusions: The purpose of this paper is to advance the knowledge for a key question with evident implications for economic policy: What is the importance of international technology spillover transmitted through trade and FDI for the TFP growth in the agricultural sector of Iran? For this purpose, we have set out from the modeling initially based on a theoretical framework, which is modified by introducing two fundamental channels. Thus, we have included the capital goods imports and foreign direct investment as factors capable of influencing TFP, both directly and indirectly: improving the capacity of absorption of foreign technology. In fact, we have included an explicit measure of international technology spillover which combines the technological capacity of the rest of the country and the weight of the imports that are made from each one of them. The different specifications of the model are estimated using the ARDL method and the period is that from 1971 to 2011. The results achieved reveal, first, the existence of international technology spillover which have had a favorable impact on the TFP growth of the agricultural sector of Iran. Secondly, the paper also provides additional evidence that supports the role of imports and FDI as a channel of transmission of such spillover. This result therefore provided new evidence to the positive influence of FDI on productivity, suggesting, that the higher the technological capacity of the trading partners, the greater this influence will be. In addition, we obtained a very high relationship between FDI shares and the effect of technology spillovers on agricultural productivity.

کلیدواژه‌ها [English]

  • ARDL Model
  • Capital goods
  • foreign direct investment
  • Import
1- Acemoglu D. 2002. Directed Technical Change, Review of Economic Studies, 69: 781–810.
2- Aitken B.J., and Harrison A.E. 1999. Do Domestic Firms Benefit from Direct Foreign Investment? Evidence from Venezuela, American Economic Review, 89(3): 605-618.
3- Amini A., Rismanchy H., and Farhadikia A. 2010. Contribution of FDI to TFP: A Cross Country Panel Data Estimation, Iranian Journal of Economic Research, 14(43): 55-80. (In Persian)
4- Amirteimoori S., and Khalilian S. 2008. Investigation of Effective Factors on Productivity of Capital Stock in Agricultural Sector of Iran, Journal of Agricultural Economics and Development, 16(61): 57-77. (In Persian)
5- Athreye S., and Cantwell J. 2007. Globalization and the emergence of new technology producers, Research policy, 36(2): 209–226.
6- Atkinson A.B., and Stiglitz J.E. 1969. A new view of technological change, Economic Journal, 79(315): 573-578.
7- Basu S., and Weil D. 1998. Appropriate Technology and Growth, Quarterly Journal of Economics, 113(4): 1025–1054.
8- Borensztein E., Gregorio J.D., and Lee J.W. 1995. How Does Foreign Direct Investment Affect Economic Growth, NBER Working Paper No. 5057. Cambridge, MA: National Bureau of Economic Research.
9- Coe D.T., and Moghadam R. 1993. Capital and Trade as Engines of Growth in France: An Application of Johansen's Cointegration Methodology, IMF Staff Papers, Palgrave Macmillan, 40(3): 542-566.
10- Coe D., Helpman E., and Hoffmaister A.W. 2009. International R&D Spillovers and Institutions, European Economic Rview, 53(7): 423-796.
11- Coe D.T., and Helpman E. 1995. International R&D Spillovers, European Economic Review, 39(5): 859-887.
12- Cororaton C.B. 2002. Total Factor Productivity in the Philippines, Philippine Institute for Development Studies.
13- Crespo J., Martin C., and Francisco J. 2004. International technology spillovers from trade: The importance of the technology gap, Investigaciones Economicas, 28(3): 515-533.
14- Dickey D.A., and Fuller W.A. 1979. Distribution of the estimators for autoregressive time series with a unit root, Journal of the American Statistical Association, 74: 427-431.
15- Dickey D.A., and Fuller W.A. 1981. The likelihood ratio statistics for autoregressive time series with a unit root, Econometrica, 49: 1057-1072.
16- Eden L., Lecitas E., and Martinez R.J. 1997. The Production, Transfer and Spillover of Technology: Comparing Large and Small Multinationals as Technology Producers, Small Business Economics, 9(1): 53-66.
17- Findlay R. 1978. Relative Backwardness, Direct Foreign Investment and the Transfer of Technology: A Simple Dynamic Model, Quarterly of Journal of Economics, 92(1): 1-16.
18- Fu X. 2008. Foreign Direct Investment, Absorptive Capacity and Regional Innovation Capabilities: Evidence from China, Oxford Development Studies, 36(1): 89-110.
19- Fu X., and Gong Y. 2009. International and intranational technological spillovers and productivity growth in China, Asian Economic Papers, 8(2): 1-24.
20- Gholizadeh A.A., and Kamyab B. 2010. The Study of Responses of Monetary Policy on to House Price Bubble in Iran, Iranian Journal of Economic Research, 14(42): 123-147. (In Persian)
21- Griliches Z. 1979. Issues in assessing the contribution of R&D to productivity growth, Bell journal of economics, 10(1): 92-116.
22- Griliches Z. 1998. R&D and Productivity: The Econometric Evidence, Cambridge: National Bureau of Economic Research, Inc.
23- Heidari H., and Sanginabadi B. 2013. The Effect of R&D on Economic Growth in Iran, Tahghighat-e-Eghtesadi, 48(2): 1-23. (In Persian)
24- Hosseini S.S., and Mola'ee M. 2006. The Impact of Foreign Direct Investment on economic growth in Iran, Economic Research, 6(21): 57-80. (In Persian)
25- Kokko A., Tansini R., and Zejan M. 1997. Trade Regimes and Spillover Effects of FDI: Evidence from Uruguay; Working paper, Stockholm: Stockholm School of Economics.
26- Lall S. 2003. Foreign Direct Investment, Technology Development, and Competitiveness: Issues and Evidence. In: Competitiveness, FDI and Technological Activity in East Asia, edited by Sanjaya Lall and Shujiro Urata, pp. 12–56. Cheltenham, UK: World Bank, Edward Elgar.
27- Lucas R.E. 1988. On the Mechanics of Economic Development, Journal of Monetary Economics, 22(1): 3-42.
28- Luh H.L., Chang Ch., and Huang F.M. 2008. Efficiency change and productivity growth in agriculture: A comparative analysis for selected East Asian economies, Journal of Asian Economics, 19(4): 312-324.
29- Mahmoodzadeh M., and Mohseni R. 2005. Investigation of Impact of Imported Technologies on Economic Growth of Iran, Iranian Journal of Trade Studies, 16: 103-130. (In Persian)
30- Mingyong L., Shuijun P., and Bao Q. 2006. Technology spillovers, absorptive sapacity and economic growth, China economic review, 17(3): 300-320.
31- Najarzadeh R., and Maleki M. 2005. A Study of Foreign Direct Investment Effects on Economic Growth in Oil Exporting Countries, Iranian Journal of Economic Research, 23: 147-163. (In Persian)
32- Nayebi H., Ebrahimi R., and Azadegan A. 2010. Estimation and Analysis of Effective Factors on Growth of Total Factor Productivity in Economy of Iran Using Solow Residuals Model, Journal of Economic Sciences, 9(1): 121-140. (In Persian)
33- Organisation for Economic Cooperation and Development (OECD). 2002. Science and Technology Industry Outlook; Paris: OECD.
34- Parman J. 2012. Good schools make good neighbors: Human capital spillovers in early 20th century agriculture, Explorations in Economic History, 49(3): 316-334.
35- Pesaran M., and Shin Y. 1995. An autogressive distributed lag modelling approach to cointegration analysis, DAE Working Paper 9514, University of Cambridge.
36- Pessoa A. 2005. FDI and TFP in OECD countries: evidence from aggregate data, FEP working papers, n.188.
37- Pourmaghaddam A. 2011. The Impact of Factors Productivity Changes of Production on Rural Poverty Indices in Iran, M.Sc Thesis, Faculty of Agricultural, Department of Agricultural Economics, Shahid Bahonar University of Kerman. (In Persian)
38- Romer P. 1990. Endogenous Technological Change, Journal of Political Economy, 98: S71-S102.
39- Samuelson P.A. 1971. Stochastic speculative price, Proceedings of the National Academy of Sciences, 68(2): 335-337.
40- Shahabadi A., and Sajadi H. 2011.The Sources of Technology Transfer and Economic Growth of Iran, Journal of Economic Research and Policies, 19(59): 33-52. (In Persian)
41- Sterlacchini A. 2008. R&D, higher education and regional growth: Uneven linkages among European regions, Research policy, 37(6-7): 1096-1107.
42- Stewart F. 1983. Macro-Policies for Appropriate Technology: An Introductory Classification, International Labour Review, 122(3): 279-293.
43- Tashkini A. 2005. Applied Econometrics with Microfit, First edition, Tehran: Dibagaran Institute Publication. (In Persian)
44- Yadollahzadeh Tabari N., and Khooshabi S.Z. 2011.Total Factor Productivity of Khosh Noosh Beverage Company, Quarterly Journal of Economic Modelling, 5(2): 131-146. (Text in Persian)
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