پیوندهای مفید
آمار
| تعداد نشریات | 22 |
| تعداد شمارهها | 709 |
| تعداد مقالات | 10,241 |
| تعداد مشاهده مقاله | 71,752,477 |
| تعداد دریافت فایل اصل مقاله | 63,541,042 |
Study of increasing production using improving technical efficiency in fisheries in the north of the country (Case study: Kilka fishing on the shores of Mazandaran) | ||
| International Journal of Nonlinear Analysis and Applications | ||
| مقاله 18، دوره 15، شماره 1، فروردین 2024، صفحه 215-224 اصل مقاله (419.99 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22075/ijnaa.2023.29770.4253 | ||
| نویسندگان | ||
| Saeid Parichi1؛ Seyed Yaghoub Zeraatkish* 2؛ Majid Ahmadian3؛ Zahra Abedi1 | ||
| 1Department of Environmental Economics, Science and Research Branch, Islamic Azad University, Tehran, Iran | ||
| 2Department of Agriculture Economics, Science and Research Branch, Islamic Azad University, Tehran, Iran | ||
| 3Department of Economics, University of Tehran, Tehran, Iran | ||
| تاریخ دریافت: 25 آبان 1401، تاریخ بازنگری: 10 بهمن 1401، تاریخ پذیرش: 08 اسفند 1401 | ||
| چکیده | ||
| The population of fish stocks is constantly exposed to threats and invasion and finally, the problem of extinction due to some reasons. In this study, in order to estimate the technical efficiency of the Kilka fishing industry, the activities of 30 fishing fleets were investigated by the random border production function method and with the proposed maximum likelihood model of Battese and Coelli. Four independent variables used in this research are the number of vessels, the number of manpower, the fishing capital, and the number of nets. The factors selected as affecting the inefficiency are the fishermen’s age, the fishermen’s education level, the fishermen’s second job, the catch manager’s working record, the catch manager’s education level, the number of stormy days and The number of fishing hours. Error terms (deviations from the efficient boundary) have been divided into two elements as disturbance and inefficiency. The estimation of the technical efficiency is based on the final model at different levels based on which the highest technical efficiency in this group is 0/97 and the lowest is0/46. The mean technical efficiency of the exploiters is 0/87. The range between the minimum and maximum efficiency has been calculated as0/41. The results showed that efficiency decreased by decreasing stormy days and increasing fishing hours. In contrast, efficiency decreases with the increasing number of stormy days and decreasing fishing hours. It was also found that increasing the level of education of fishermen increases efficiency. The Kilka fishing industry was exposed to various risks, thus in this study, we get to analyze the types of risks such as the effects of the comb jelly (Mnemiopsis leidyi) and weather changes in the Kilka fishing industry. | ||
| کلیدواژهها | ||
| Technical efficiency؛ Kilka؛ Random frontier function؛ The caspian sea؛ Mazandaran Province؛ Risk؛ Mont Carlo Simulation Method | ||
| مراجع | ||
|
[1] M. Ahmad and B.E. Bravo-Ureta, An econometric decomposition of dairy output growth, Amer. J. Agricul. Econ. 77 (1995), 914–921. [2] G.E. Battese and T. Coelli, A model for technical inefficiency effects in a stochastic frontier production function for panel data, Empir.l Econ. 20 (1995), 325–332. [3] G.E. Battese, D.S.P. Rao and C.J. O’Donnell, A meta-frontier production function for estimation of technical efficiencies and technology gaps for firms operating under different technologies, J. Product. Anal. 21 (2004), 91–103. [4] B.E. Bravo-Ureta and L. Rieger, Alternative production frontier methodologies and dairy farm efficiency, Agricul. Econ. 41 (1990), 215–226. [5] D.R. Carter and F.W. Cubbage, Stochastic frontier estimation and sources of technical efficiency in southern Timber harvesting, Forest Sci. 41 (1995), 576–593. [6] C.A. Carter and B. Zhang, The weather factor and variability in China's grain supply, J. Comparat. Econ. 26 (1998), 529–543. [7] A. Charnes, W. Cooper and E. Rhodes, Measuring the efficiency of decision-making units, Eur. J. Oper. Res. 2 (1987), no. 6, 429–444. [8] F.S. Chiang, C.H. Sun and J.M. Yu, Technical efficiency analysis of milkfish (Chanos chanos) production in Taiwan- an application of the stochastic frontier production function, Aquaculture 230 (2004), 99–116. [9] T. Coelli, D.S. Prasada Rao and G.E. Battese, An Introduction to Efficiency and Productivity Analysis, Kluwer Academic Publishers, 2002. [10] K.K. Daata and P.K. Joshi, Economic efficiencies and land augmentation to increase agricultural production: A comparative analysis for investment priorities, Indian J. Agricul. Econ. 47 (1992), 476–488. [11] X. Deng, Y. Luo, S. Dong and X. Yang, Impact of resources and technology on farm production in northwestern China, Agricul. Syst. 84 (2005), 155–169. [12] S. Fan, Effects of technological change and institutional reform on production growth in Chinese agriculture, American J. Agricul. Econ. 73 (1991), 266–275. [13] M.J. Farrell, The measurement of productive efficiency, J. Royal Stat. Soc. Ser. A 120 (1957), 253–281. [14] Food and Agriculture Organization, Statistical database, http://www.fao.org, 2007. [15] P. Fousekis and S. Klonaris, Technical efficiency determinants for fisheries: A study of trammel netters in Greece, Fisher. Res. 63 (2003), 85–95. [16] A. Gerdin, Productivity and economic growth in Kenyan agriculture (1969-1996), J. Agricul. Econ. 27 (2002), 7–13. [17] J. Jondrow, I. Materov, K. Lovell and P. Schmidt, On the estimation of technical inefficiency in the stochastic frontier production function model, J. Econometrics 19 (1982), no. 3/2, 233–238. [18] R.K. Kaufmann and S.E. Snell, A biophysical model of corn yield: Integrating climatic and social determinants, Amer. J. Agricul. Econ. 79 (1997), 178–190. [19] Y. Kuroda, The prosecutor’s structure and demand for labor in post-war Japanese agriculture (1952-1982), Amer. J. Agricul. Econ. 62 (1987), no. 2, 328–336. [20] J.Y. Lin, Rural reforms and agricultural growth in China, Amer. Econ. Rev. 82 (1992), 34–51. [21] P.H. Lindert, The Bad Earth? China’s soil and agricultural development since the 1930s, Econ. Dev. Cultural Change 47 (1999), 701–736. [22] W. Mao and W.W. Koo, Productivity growth, technological progress and efficiency change in Chinese agriculture after rural economic reforms: a DEA approach, China Econ. Rev. 8 (1997), no. 2, 157–174. [23] K.R. Sharma, L. Pingson and C. Hailiang, Economic efficiency and optimum stocking densities in fish polyculture: an application of data envelopment analysis (DEA) to Chinese fish farmers, Aquaculture 180 (1999), no. 3–4, 207–221. [24] H. Thiele and C.M. Broderson, Application of nonparametric (DEA) to the efficiency of farm businesses in the east German transformation process, Agrawirtshaft 46 (1997), 407–416. [25] G.M. Yazdani, D.F. Singh and M.B. Rao, Psilorhynchoides, a new genus for the cyprinid fish, Psilorhynchus homaloptera Hora & Mukherji and P. pseudecheneis Menon & Datta, with a definition of the subfamily Psilorhynchinae (Cyprinidae), Matsya 15 (1990), no. 16, 1–7. | ||
|
آمار تعداد مشاهده مقاله: 26,512 تعداد دریافت فایل اصل مقاله: 16,200 |
||