Tài liệu hạn chế xem trước, để xem đầy đủ mời bạn chọn Tải xuống
1
/ 88 trang
THÔNG TIN TÀI LIỆU
Thông tin cơ bản
Định dạng
Số trang
88
Dung lượng
1,8 MB
Nội dung
UNIVERSITY OF ECONOMICS HO CHI MINH CITY VIETNAM INSTITUTE OF SOCIAL STUDIES THE HAGUE THE NETHERLANDS VIETNAM - NETHERLANDS PROGRAMME FOR M.A IN DEVELOPMENT ECONOMICS TECHNICAL EFFICIENCY OF RICE PRODUCTION IN VIET NAM BY LE HOANG VIET PHUONG MASTER OF ARTS IN DEVELOPMENT ECONOMICS HO CHI MINH CITY, DECEMBER 2012 UNIVERSITY OF ECONOMICS HO CHI MINH CITY VIETNAM INSTITUTE OF SOCIAL STUDIES THE HAGUE THE NETHERLANDS VIETNAM NETHERLA NDS PROGRAMME FOR M.A IN DEVELOPMENT ECONOMICS TECHNI CAL EFFICIE NCY OF RICE PRODU CTION IN VIETNA M A thesis submitted in partial fulfilment of the requirements for the degree of MASTER OF ARTS IN DEVELOPMENT ECONOMICS By M LE HOANG VIET PHUONG K H A N H A c N a A d M e m D i R c S P u H p A e M r v L i E s o T r H : O N G D R P H A HO CHI MINH CITY, DECEMBER 2012 DECLARATION I declare that “Technical efficiency of rice production in Vietnam” is my own works, it has not been submitted to any degree at other universities I confirm that I have made by effort and applied all knowledge for finishing this thesis in the best way HCMC, December 2012 LE HOANG VIET PHUONG ACKNOWLEDGEMENTS When working on this thesis, I had been given much valuable help and encouragement which is a strong motivation for me to go through difficulties and finish the thesis First of all, I kindly give my sincere thanks to Dr Pham Khanh Nam and Dr Pham Le Thong who wholeheartedly helped and guided me through the thesis I would like to give my thanks to Associate Prof Dr Nguyen Trong Hoai — Vice Principal of the University of Economics & Director of Vietnam — Netherlands Programme for MA in Development Economics who facilitated me when I was doing the thesis as well as in the past two year Postgraduate Program I would like to give my thanks to Dr Do Thi Loan — Deputy Chairwoman & Secretary General of HCMC Real Estate Association who wholeheartedly guided me to the thesis and allowed me to have valuable time to finish the thesis I would like to extend my thanks to: - Dr Nguyen Huu Dung for his comments related to my TRD - Dr Hay Sinh, Dr Nguyen Quynh Hea, Dr Nguyen Ngoc Vinh, Dr Tran Tien Khai, Dr Le Van Chon, MA Truong Quang Hung, MDE Phung Thanh Binh and MBA IJoang Tuyet Thu who always encourage and support me during my study and my doing this thesis; - MBA Nguyen Khanh Duy and MDE Nguyen Ngoc Danh for their proposal and guides related to my subject; - Lecturers of Economics Development Faculty, HCMC University of Economics and other lecturers having participated in Vietnam — Netherlands Programme for MA in Development Economics who shared their precious experiences which I could apply to the thesis as well as to my work Lastly, I would like to express my heartfelt thanks to my family, my friends and my colleagues in HCMC Real Estate Association who are always by my side He Chi Minh City, December 2012 ABSTRACT This study estimates the technical efficiency of the rice farmers in Vietnam from the stochastic frontier production function using Vietnam Access to Resources Household Survey (2008) This study finds that the labour, machine, seed, fertilizer, pesticide and herbicide strongly affect rice productivity The mean technical efficiency of farmers is 60.28% The technical efficiency level of sampled farmers ranges from 17.79% to 89.38% Number of household members, age of farmer, experience, education, credit access, training program are predictors of technical efficiency Finally, joining associations or groups which is proxy variable of social capital also strongly affect technical efficiency However, the result is very interesting and different with my expectation In my study, the farmers who join more in Farmers’ Union, Union and other groups will produce less than that in the other farmers TABLE OF CONTENTS DECLARATION ACKNOWLEDGEMENTS ii ABSTRACT iv TABLE OF CONTENTS v LIST OF TABLES vii LIST OF FIGURES ×111 LIST OF ABBREVIATIONS ix CHAPTER I INTRODUCTION 1.1 Problem statement 1.3 Research questions .3 1.4 Scope of study and data 1.5 Thesis structure .4 CHAPTER II LITERATURE REVIEW I Literature review on economic efficiency .5 2.1.1 Technical efficiency 2.1.2 Allocative efficiency 2.1.3 Graph explanation for technical efficiency, allocative efficiency and economic efficiency6 2.2 Stochastic frontier analysis framework 2.2.1 Stochastic frontier model and technical efficiency measurement 2.2.2 Graph explanation for stochastic frontier model and technical efficiency .9 2.3 Social capital concepts 10 2.4 Empirical review 11 2.5 Chapter remark 21 CHAPTER III RESEARCH METHODOLOGY 22 3.1 Data 22 3.2 Empirical framework 23 LIST OF TABLES Table 2.1 Summary of empirical review 16 Table 3.1 List of Variables in Stochastic Frontier Production Function 28 Table 3.2 List of Variables in Technical Efficiency Model 37 Table 4.1 Rice production of the farmers in 12 months 41 Table 4.2 Descriptive statistics of inputs contribution 43 Table 4.3 Descriptive statistics of variables in technical efficiency model 44 Table 4.4 Descriptive statistics of credit access .45 Table 4.5 Descriptive statistics ofjoining groups 46 Table 4.6 Maximum Likelihood Estimation of Stochastic Frontier Production Function 47 Table 4.7 Frequency distribution of technical efficiency for rice farming 51 Table 4.8 Correlation matrix of independent variables 52 Table 4.9 OLS and FGLS estimation results of Technical efficiency model 53 Therefore, education factor does not affect technical efficiency However, we cannot say that the education does not play an important role in the economics and rice farming Therefore, the government has to encourage the farmers go to school They must support more school fee for the farmers Particularly, the government should completely sponsor school frees for the poor farmers They should create more appropriate programs for supporting the farmers to finish as many classes as possible Moreover, the most important is that government needs to reform education system, increase quality of education and make theory close to reality When the farmer get high education, I believe that education strongly affect technical efficiency with positive sign In addition, the rice production knowledge of the farmers is limited Hence, the government needs to organize more training programs Based on that, the farmers can reduce the costs of pesticide, inputs, enhancing their heath, agricultural knowledge, creating the better environment and increasing the technical efficiency Finally, in relation to the social capital factors, I think the government must assign talented people to lead the farmers The leader will ask the group members for their opinions make decisions This is the best way to avoid “herd behaviour” among the farmers The talented leader will make better decision and helped the farmers reduce conflicts, increase the productivity, increase water management ability, choose collective actions and improve the technical efficiency Another important factor is the credit access variable, it gives an unexpected result because the farmers use loans with the wrong purpose The government is advised to guide and control the farmers in using credit The government should make sure that the farmers use the loans with the right purpose At the same time, government has to carry on propagandas for farmers, helping them to understand the importance of participating in organizations and group working From the recommendations above, I think the technical efficiency and rice output of farmers absolutely increase 5.3 Limitation and further research The VARHS 2008 provided much information about the farmers and agriculture in Vietnam However, the data missed a lot of variables such as: experience of the farmers by years, environments, Therefore, the results in the research model were not as expected I hope that 61 VARHS in the following years will include more information related to the farmers Based on that, the stochastic frontier model and technical efficiency will research more in Vietnam and get more positive outcome In addition, the interviewees did not answer a lot of questions Thus, I had to drop too much observation which led to the lack of information Besides, I think VARHS 2008 was out of date The General Statistical Office of Vietnam finished VARHS 2010 but I cannot access it Stochastic frontier production function and technical efficiency help us understand the determinants of rice production and determinants of technical efficiency Based on that, the government and the farmers can increase the rice output and technical efficiency Therefore, the better model is run, the better efficiency will be In my technical efficiency model, I use only OLS method and FGLS method I not have enough time to compare them with other methods such as: Tobit, Rubust regression, Thus, I think the result is not the best From my study, researchers can use my limitation for further research about the stochastic frontier production function We can find the affect of environments and climate change on the technical efficiency Moreover, we can combine the technical efficiency and allocative efficiency to study In other words, we can research not only technical efficiency but also economic efficiency We can even combine stochastic frontier approach and data envelopment analysis to make a comparison Finally, with more information about social capital, I think my study will better by other researchers 62 REFERENCES Abdulai, A and Huffman, W (2000) Structural Adjustment and Economic Efficiency of Rice Farmers in Northern Ghana Economic Development and Cultural Change, Vol 48, No 3, 503-520 Abedullah, Kouser, S and Mushtaq, K (2007) Analysis of technical efficiency of rice production in Punjab (Pakistan) Implications for future investment strategies Pakistan Economic and Social Review, Vol 45, No.2, 231-244 Aigner, D.J and Chu, S.F (1968) On estimating the industry production function The Ameriacan Economic Review, Vol 58, No 4, 826-839 Aigner, D., C.A.K Lovell, and P Schmidt (1977) Formulation and Estimation of Stochastic Frontier Production Function Models Journal of Econometrics, Vol 6, No 1: 2137 Battese, G E (1991) Frontier production functions and technical efficiency.’ A survey of empirical applications in agricultural economics ISSN 157-0188 ISBN 85534 936 Battese, G E and T I Coelli, (1995) A model for technical inefficiency effect in stochastic frontier production for panal data Emperical Economics Vol 20, 325-345 Bourdieu, P (1986) The forms of capital Handbook of Theory and Research for the Sociology of Education (New York, Greenwood), 241-258 Charnes, A., W.W Cooper, and E Rhodes (1978) Measuring the Efficiency of Decisionmaking Units European Journal of Operational Research, Vol 3, No 4: 429-441 Chukwuji Christopher 0., Odjuvwuederhie E Inoni, O’raye D Ogisi, William J Oyaide (2006) A Quantitative Determination of Allocative Efficiency in Broiler Production in Delta State, Nigeria Department of Agricultural Economics and Extension, Delta State University, Asaba Campus, Asaba Vol 71 (2006) No 1, 21-26 Coelli, T., Rahman, S and Thirtle, C (2002) Technical, Allocative, Cost and Scale Efficiencies in Bangladesh Rice Cultivation.’ A Non-parametric Approach Journal of Agricultural Economics, Vol 53, No 3, 607-626 63 Coelli, T., Rao, D.S.P, O’Donnell, C.J and Battese, G.E (2005) An Introduction To Efficiency And Productivity Analysis Springer Science New York Farrell, M.J (1957) The Measurement of Productive Efficiency Journal of the Royal Statistical Society, Series A (General), 120 (3): 253 - 281 Fukuyama, F (1995) Trust The social virtues and the creation of prosperity New York: Free Press Gabrielsen, A (1975) On estimating efficient production functions Chr Michelsen Institute, Department of Humanities and Social Science Working Paper No.A-35 Gedara, K M., Wilson, C., Pascoe, S and Robinson, T (2012) Factors Affecting Technical Efficiency of Rice Farmers in Village Reservoir Irrigation Systems of Sri Lanka Journal of Agricultural Economics , Vol 63, No 3, 627—638 Greene, W.H (1980) Maximum likelihood estimation of econometric frontier functions Journal of Econometrics 13, 27-56 Grootaert, C (1998) Social Capital The Missing Link? Social Capital Initiative Working Paper No Gujarati, N., D and Porter, C., D (2009) Basic econometrics McGraw-Hill/Irwin Pub Ho, D.P , Uyen L.N and L T T Tung (2009) Development economics.’ Theory and ' Empirical Statistic Publisher Ha Noi Huynh, V.K and Yabe, M (2011) Technical Efficiency Analysis of Rice Production in Vietnam Journal of ISSAAS, Vol 17, 135-146 Hyuha, T.S., Bashaasha, B., Nkonya, E and Kraybill, D (2010) Analysis of profit inefficiency in rice production in eastern and northern Uganda African Crop Science Journal, Vol 15, No 4, 243-253 Idiong, I C (2007) Estimation of Farm Level Technical Efficiency in Smallscale Swamp RfCC Production in Cross River State of Nigeria A Stochastic Frontier Approach World Journal of Agricultural Sciences (5), 653-658 Jondrow, J., Lovell, C.A.K., Materov, I.S and Schmidt, P (1982) On the Estimation of Technical inefficiency in the stochastic frontier production function model Journal of Econometrics Vol.19, 233-238 64 Knack, S (2002) Social capital, growth, and poverty.’ a survey of cross-country evidence Social Capital Initiative Working Paper No Kompas, T (2004) Market Reform, Productivity and Efficiency in Vietnamese Rice Production Canberra, Australia National Center for Development Studies, Asia Pacific School of Economics and Management, Australian National University Masterson, T (2007) Productivity, Technical Efficiency, and Farm Size in Paraguayan Agriculture Working Paper No 490 The Levy Economics Institute of Bard College Meeusen, W and Broeck, J V D (1977) Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error International Economic Review, Vol 18, No 2, 435-444 Ministry of Natural Resources & Environment (2012) in SGGP (2012) How to keep 3.8 million of rice area? Lesson S.’ Food security is m‹zf ii problem [http://www.sggp.org.vn/nongnghiepkt/2012/1/278170/, accessed 06 Jan 2012J Ministry of Natural Resources & Environment and Ministry of Natural Resources & Environment (2012) in SGGP (2012) How to keep 3.8 million of rice area? Lesson • S.‘ Food security is main problem [http://www.sggp.org.vn/nongnghiepkt/2012/1/278170/, accessed 06 Jan 20l2J Narala, A and Zala, Y.C (2010) Technical Efficiency of Rice Farms under Irrigated Conditions in Central Gujarat Agricultural Economics Research Review, Vol 23, 375-381 Nguyen, T.M H., Kawaguchi, T and Sizuki, N (2003) A study on Technical Efficiency of Rice Production in The lvtekong Delta — Vietnam by Stochastic Frontier Analysis Journal of the Faculty of Agricultural Kyushu University Vol.48, 325-357 Porcelli, F (2009) Measurement of Technical Efficiency A Brief Survey on Parametric and Non-Parametric Techniques Putnam, R.D (1993) Majring democracy wort Civic traditions in modern Italy Princeton, NJ: Princeton University Press Richmond, J (1974) Estimating the efficiency of production International Economic Review Vol.13, No.2, 515—521 65 Rose, R (1999) Getting Things Done in an Antimodern Society.’ Social Capital Networks in Russia Washington DC: World Bank, 147-171 Rose, R (2000) Measures of Social capital in African Surveys Report prepared as part of the World Bank Social Capital Initiative Glasgow: Centre for the Study of Public Policy, Shahooth, K and Battall, A H (2006) Using Data Envelopment Analysis to measure Cost Efficiency with an application on Islamic Bank Scientific Journal of Administrative Development, Vol 4, 134-156 Stevenson R.E (1980) Likelihood functions for generalized stochastic frontier estimations Journal of Econometrics Vol 13, No l, 58—66 Truong, T.N.C and Yamade, R (2005) Accessing the technical efficiency of input in rice production in T/iof Lai Commune, CO Do District, Can The City Omonrice 116- 120 Vietnam Food Association (2012), Yearly Export Statistics Wang, X and Yu, X (2011) Scale Effects, Technical Efficiency and Land Lease in China EAAE 2011 Congress Zurich, Switzerland Winsten, C.B (1957) Discussion on Mr Farrell’s Paper Journal of the Royal Statistical - Society Series A (120), 282 — 284 Wooldridge, J., M (2003) Introductory Econometrics.’ A modern Approach South Western College Pub 66 APPENDIX Appendix Frequency for the quantity of rice 16 16 1,127 Appendix Percentiles of the rice value 24,325 Appendix Graph box for the total values of rice 67 06,600 Appendix Frequency for estimated post—harvest is lost p 0.1 245 21.74 70 6.21 Appendix S Frequency for the structure of sellers ' 68 “‘ 27‘9 16 1.42 Head 268 23.78 Spouse 317 2813 Not sell Child 63 Parent 12 451 No answers Total 53.33, 5.59 58.92 non.; 1.06 59.98 ; 40.02 100.00 ‘1,127 100.00 -' Appendix Frequency for the structure of buyers Not sell Private trader/enterprise Private households/individuals No answers Total 16 452 208 451 1127 Appendix Frequency for the store in rice Appendix Frequency for education variable 69 40.11 18.46 40.02 100.00 1.42 41.53 I 59.98 90 49 7.99 4.35 46.58 50.93 Appendix Frequency for training program 136 12.07 1,137 100.00 12.07 No , Total Appendix 10 Frequency for source of loans 7.33 Appendix 11 Frequency for time of payment 70 54.74 Daily Monthly Quarterly Half yearly Yearly Once Other Total 45.08 46.87 Appendix 12 Frequency for year when farmers join some groups, organizations or associations Don't remember 1938 jp$g 1970 1 025 0.25 Appendix 13 Frequency for position of groups, organizations or associations Leader Secretary Member Total Appendix 14 Frequency for group meeting Weekly Monthly Quarerly Annually Total 10.97 44 100.00 Appendix 15 Frequency for making decision Leader decides and informs the other group members Leader asks group member what they think and then decides All group members discuss and decide to ether Other 13 3.24 86 21.45 24.6 74.81 99.50 300 3.24 ! Appendix 16 Frequency for main benefit from joining groups status Entertainment Health benefits Increase knowledge Other Total Appendix 17 White’s test for OLS method White's test for Ho: homoskedasticity against Ha: unrestricted heteroskedasticity chi2(46) = 285.66 Prob > chi2 - 0.0000 Cameron & Trivedi's decomposition of IM-test Source Heteroskedasticity Skewness Kurtosis Total chi2 df 285.66 46 145.74 2.54 433.94 56 p 0.0000 0.0000 0.1113 0.0000 Appendix 18 Breusch-Pagan / Cook-Weisberg test for OLS method BreuschPagan / Cook-Weisberg test for heteroskedasticity Ho: Constant variance Variables: fitted values of TE chi2(1) — 3.28 Prob > chi2 = 0.0699 Appendix 19 The Feasible GLS procedure to correct for Heteroskedasticity Run OLS regression of y on x;, x , .,x and obtain the residuals, u Create log u by first squaring the OLS residuals and then taking the natural log Run the OLS regression of log u on x;, x , ,x and obtain the fitted values, g Exponentiate the fitted values from model in step 3: h —— exp g Estimate the final equation: Appendix 20 Variance Inflation Factor (VIF) of independent variables in technical efficiency model Variable HSIZE AGE EXP EDU cRE TRA FAR SC UNI_SC VIF 1.50 1.43 1.35 1.35 1.18 1.18 1.17 1.09 OTG SC 1.04 Mean VIF 1.26 Appe ndix 21 Frequ ency for age varia ble AGE Number of farme 70 < AGE 60 < SGD < 70 50 < SGD < 60 40 AGA 50 30 < AGA < 40 SGD < 30 Total 1 1,1 74 ... practice income, rice income, more for efficiency income from male off-farm work in rice, income from female off-farm work in rice, non-farm income, off- farm income Idiong Technical efficiency. .. labour in rice production I expected that the size of a household (HSIZE) will affect technical efficiency An increasing number of members in a household may lead to an increase in technical efficiency. .. examine the determinants of rice output and find the technical efficiency level of the farmers; and ordinary least square regression (OLS) to examine the factors affecting the technical efficiency