The impact of food safety standard on coffee export, the case in vietnam during 2005 2014

73 38 0
The impact of food safety standard on coffee export, the case in vietnam during 2005 2014

Đang tải... (xem toàn văn)

Tài liệu hạn chế xem trước, để xem đầy đủ mời bạn chọn Tải xuống

Thông tin tài liệu

UNIVERSITY OF ECONOMICS ERASMUS UNVERSITY ROTTERDAM HO CHI MINH CITY VIETNAM INSTITUTE OF SOCIAL STUDIES THE NETHERLANDS VIETNAM – THE NETHERLANDS PROGRAMME FOR M.A IN DEVELOPMENT ECONOMICS THE IMPACT OF FOOD SAFETY STANDARD ON COFFEE EXPORT THE CASE IN VIETNAM DURING 2005-2014 BY TRUONG TAN TAI MASTER OF ARTS IN DEVELOPMENT ECONOMICS HO CHI MINH CITY, OCTOBER -2016 ABSTRACT The objective of this study is to scrutinize the impact of FSS on the quantity of Vietnam’s coffee export Meanwhile, the regulated number of pesticides or average maximum residue levels is usually applied as a measurement of Food Safety Standard of a country The data covers 56 countries from 2005 to 2014 due to the data availability from AgrobaseLogigram’s Homologa database providing coffee FSS The Fixed effect estimator is employed in the panel gravity model Furthermore, Driscoll – Kraay Standard Errors for Fixed effect estimator is used for robustness checks Significantly, the primary findings determine that the regulated number of pesticides has a negative impact while average maximum residue levels have a positive effect on the export of Vietnamese coffee Furthermore, GDP per capita of importing countries, domestic consumption, and TWO member dummy variable demonstrate a contribution to Vietnamese coffee export Meanwhile, the real exchange rate depreciation and price*distance variable indicate a negative influence on the quantity of Vietnam’s coffee export Last but not least important, there are not any significant evidences proving the effect of trade openness and tariff on Vietnamese coffee export in the study Keywords: Food safety standard, Vietnam’s coffee export, panel gravity model i ACKNOWDGEMENT Firstly, I would highly appreciate my advisor Dr Nguyen Huu Dung for his valuable advice, consideration, and agreeable methodology during the time for conducting this thesis If there are not such valuable things, I am unable to complete my thesis in time Secondly, I am grateful to Dr Truong Dang Thuy providing me with precious instructions and encouragement Besides that, I also express my appreciation to dedicated professors and staffs in the Vietnam – Netherlands Programme who always support me during the time at VNP Thirdly, I wish to express my thankfulness to my classmates and my friendly group in Class 20 The kind assistance, useful discussion, and wonderful memories together from them will be imprinted in my heart Finally, I have no word to manifest my deep gratefulness to my loved family They have to sacrifice the best things for me to have this opportunity to study at VNP and complete this thesis ii ABBREVIATIONS CEPII The Centre d’Études Prospectives et d’Informations Internationales EEC European Economic Community EU The European Union FSS Food safety standards FTA Free Trade Agreement MRLs Maximum Residue Levels of Pesticides OLS Ordinary least squares SPS Sanitary and Phytosanitary TBT Technical Barriers to Trade TRAINS The UNCTAD Trade Analysis Information System UN Comtrade The United Nations Commodity Trade Statistics Database WTO World Trade Organization iii CONTENTS ABSTRACT ACKNOWDGEMENT ABBREVIATIONS CONTENTS LIST OF TABLES LIST OF FIGURES CHAPTER 1: INTRODUCTION 1.1 Problem statement 1.2 Research objectives 1.3 Research questions 1.4 Scope and limitations of the study 1.5 The structure of the study CHAPTER 2: LITERATURE REVIEW 2.1 The definitions 2.1.1 Pesticides 2.1.2.A maximum residue level or limit (MRL) 2.2 Some contributions to gravity model theory 2.3 Empirical research 2.3.1.Gravity model estimation using MRLs 2.3.2.Gravity model estimation using the regulated numbers of pesticides 2.3.3 Gravity model estim pesticides 2.3.4.Distance and GDP per capita in gravity model 2.3.5.Extended control variables in gravity model 2.4 Literature review summary CHAPTER 3: SITUATION OF VIETNAMESE COFFEE DURING 2005 - 2014 3.1 Advantages iv 3.2 Disadvantages 3.3 The top contribution rankings for the importing Vietnamese cof CHAPTER 4: ECONOMETRIC MODEL AND DATA 4.1 Specification of the model 4.1.1 Gravity model 4.1.2.Extended variables in gravity model 4.2 Data 4.2.1 Data source 4.2.2 Data description 4.2.3 Descriptive statistic 4.3 Econometric models 4.3.1 Pooled OLS 4.3.2 Fixed Effect Estima 4.3.3 Random Effect esti 4.3.4.Driscoll and Kraay estimation 4.4 Choosing between OLS, Fixed Effect, and Random 4.4.1.F Test for pooled OLS or Fixed Effect estimation 4.4.2.Breusch and Pagan Lagrangian Multiplier Test for Random Effect or OLS 4.4.3 The Hausman test 4.5 Post-estimation tests 4.5.1 Multicollinearity 4.5.2 Heteroskedasticity 4.5.3 Serial correlation CHARTER 5: EMPIRICAL RESULTS 5.1 Correlation matrix of all variables in the model 5.2 Estimating the intuitive gravity model 5.3 Empirical results v 5.3.1 The empirical results in the gravity model u pesticides variable 5.3.2 The empirical results in the model using av variable 39 CHAPTER 6: CONCLUSIONS AND POLICY IMPLICATIONS 6.1 Conclusions 6.2 Main findings 6.3 Policy implications 6.4 Limitations and future research REFERENCES APPENDICES vi LIST OF TABLES Table 3.1 Top 10 importing countries (selected data on share export quantity during 2005-2014) Table 4.1: Descriptive statistical analysis Table 5.1: The empirical results using the regulated number of pesticides variable Table 5.2: The empirical results using average maximum residue levels variable vii LIST OF FIGURES Figure 1.1: Vietnam’s coffee export value in the period of 2004-2014 Figure 2.1 : Analytical Framework for Vietnam’s Coffee Export and its influencing factors 17 Figure 3.1: Distribution of Vietnam’s coffee to the major importing countries in the period of 2005-2014 21 Figure 3.2 : The top ten rankings for the major importing Vietnamese coffee countries annually Figure 5.1: The correlation matrix of variables Figure 5.2: The relationship between Pdistance and Vietnamese coffee export Figure 5.3: The relationship between GDP per capita of importing countries and Vietnamese coffee export viii CHAPTER 1: INTRODUCTION 1.1 Problem statement It is undeniable that Vietnam is an agricultural country although the government is still moving towards industrialization and modernization in the future Meanwhile, agricultural products in general and coffee commodity in particular play a crucial position in export turnover of Vietnam To describe this matter, it may consider the total exports of Vietnam in the period of 2004-2014 which has been increasing significantly recent years Figure 1.1: Vietnam’s coffee export value in the period of 2004-2014 The Vietnamese economy has been entering a new development stage after joining WTO since 2007 wherein coffee export sector also adjusts to a great turning point The value of coffee export reached more than USD 2.1 billion in 2008 Subsequently, it dropped in the two following years with the value export of nearly USD 1.76 and 1.90 billion respectively Nevertheless, there are also some years witnessing the decline in coffee export from Vietnam Specifically, demand from these countries and regions were also dropped slightly in 2010 and 2011 due to the change in food safety regulations However, it resumes good performance period from 2011 to 2014 Furthermore, Vietnamese coffee is noticeably exported to many countries around the world At the same period times, the tariff barriers in the world incline to drop Specifically, as a result of WTO, FTA joining or agreements on bilateral and multilateral treaties among countries, tariff is on the way to be lowered gradually Predictably, it will not be the important barrier in the coming time In practice, Henson and Loader (2001) identify that it appears to Chen, M X., Otsuki, T., & Wilson, J S (2006) Do standards matter for export success? World Bank Policy Research Working Paper, (3809) Deardorff, A (1998) Determinants of bilateral trade: does gravity work in a neoclassical world? In The regionalization of the world economy (pp 7-32) University of Chicago Press Dong, Y., & Zhu, Y (2015) Impact of SPS Measures Imposed by Developed Countries on China’s Tea Export-A Perspective of Differences in Standards Applied Economics and Finance, 2(4), 160-169 Driscoll, J C., & Kraay, A C (1998) Consistent covariance matrix estimation with spatially dependent panel data Review of economics and statistics, 80(4), 549-560 Drogué, S., & DeMaria, F (2012) Pesticide residues and trade, the apple of discord? Food Policy,37(6), 641-649 Eaton, J., & Kortum, S (2002) Technology, geography, and trade Econometrica, 70(5), 1741-1779 Fang, W., & Miller, S M (2007) Exchange rate depreciation and exports: the case of Singapore revisited Applied Economics, 39(3), 273-277 Ferro, E., Wilson, J S., & Otsuki, T (2013) The effect of product standards on agricultural exports from developing countries World Bank Policy Research Working Paper, (6518) Gujarati, D (2011) Econometrics by example Palgrave Macmillan Hatab, A A., Romstad, E., & Huo, X (2010) Determinants of Egyptian agricultural exports: A Gravity model approach Modern Economy, 1(03), 134 Helpman, E., & Krugman, P R (1985) Market structure and foreign trade: Increasing returns, imperfect competition, and the international economy MIT press Henson, S., & Loader, R (2001) Barriers to agricultural exports from developing countries: the role of sanitary and phytosanitary requirements World development, 29(1), 85-102 Jayasinghe, S., Beghin, J C., & Moschini, G (2010) Determinants of world demand for US corn seeds: the role of trade costs American Journal of Agricultural Economics, 92(4), 999-1010 Jongwanich, J (2009) The impact of food safety standards on processed food exports from developing countries Food Policy, 34(5), 447-457 Keith, T Z (2014) Multiple regression and beyond: An introduction to multiple regression and structural equation modeling Routledge 46 Kim, S J., & Reinert, K A (2009) Standards and Institutional Capacity: An examination of trade in food and agricultural products The International Trade Journal, 23(1), 54-77 Khan, I U., & Kalirajan, K (2011) The impact of trade costs on exports: An empirical modeling.Economic Modelling, 28(3), 1341-1347 Lee, H., & Park, I (2007) In search of optimised regional trade agreements and applications to East Asia The World Economy, 30(5), 783-806 Linnemann, H (1966) An econometric study of international trade flows (No 42) NorthHolland Pub Co Ling, J I A N G (2013) Measurement of the Impacts of the Technical Barriers to Trade on Vegetable Export of China—An Empirical Study Based on the Gravity Model International Business and Management, 7(2), 20-25 Liu, X (2009) GATT/WTO promotes trade strongly: Sample selection and model specification Review of international Economics, 17(3), 428-446 Mangelsdorf, A., Portugal-Perez, A., & Wilson, J S (2012) Food standards and exports: evidence for China World Trade Review, 11(03), 507-526 Mehmood, B., & Mustafa, H (2014) Empirical inspection of broadband-growth nexus: A fixed effects with Driscoll and Kraay standard errors approach Pakistan Journal of Commerce and Social Sciences, 8(1), 01-10 Moenius, J (2006, May) The good, the bad and the ambiguous: standards and trade in agricultural products In IATRC Summer Symposium (Vol 5, pp 28-30) NOWAK‐LEHMANN, F E L I C I T A S., Herzer, D., MARTINEZ‐ZARZOSO, I N M A C U L A D A., & Vollmer, S (2007) The Impact of a Customs Union between Turkey and the EU on Turkey's Exports to the EU JCMS: Journal of Common Market Studies, 45(3), 719-743 Otsuki, T., Wilson, J S., & Sewadeh, M (2001) Saving two in a billion: quantifying the trade effect of European food safety standards on African exports Food policy, 26(5), 495-514 Pöyhönen, P (1963) A tentative model for the volume of trade between countries Weltwirtschaftliches Archiv, 93-100 Rose, A K (2005) Does the WTO make trade more stable? Open economies review, 16(1), 7-22 47 Sarker, R., & Jayasinghe, S (2007) Regional trade agreements and trade in agri‐food products: evidence for the European Union from gravity modeling using disaggregated data Agricultural Economics, 37(1), 93-104 Shepherd, B (2013) The gravity model of international trade: A user guide ARTNeT Books and Research Reports Subramanian, A., & Wei, S J (2007) The WTO promotes trade, strongly but unevenly Journal of international Economics, 72(1), 151-175 Tinbergen, J (1962) Shaping the world economy; suggestions for an international economic policy Books (Jan Tinbergen) Thorbecke, W., & Zhang, H (2009) THE EFFECT OF EXCHANGE RATE CHANGES ON CHINA'S LABOUR‐INTENSIVE MANUFACTURING EXPORTS Pacific Economic Review, 14(3), 398-409 Wei, G., Huang, J., & Yang, J (2012) The impacts of food safety standards on China's tea exports China Economic Review, 23(2), 253-264 Wilson, J S., & Otsuki, T (2001) Global trade and food safety: winners and losers in a fragmented system (Vol 2689) World Bank Publications Wilson, J S., & Otsuki, T (2004) To spray or not to spray: pesticides, banana exports, and food safety Food policy, 29(2), 131-146 Wilson, J S., Otsuki, T., & Majumdsar, B (2003) Balancing food safety and risk: drug residue limits affect international trade in beef? Journal of International Trade & Economic Development, 12(4), 377-402 Wooldridge, J M (2012) Introductory econometrics: A modern approach Nelson Education World Health Organization (2010) International code of conduct on the distribution and use of pesticides: Guidelines for the Registration of Pesticides Xiong, B., & Beghin, J (2011) Does European aflatoxin regulation hurt groundnut exporters from Africa? European Review of Agricultural Economics, jbr062 48 APPENDICES Pooled OLS regression  Pooled OLS regression having ln_regnum Source Res ln_netw ln_pdis ln_gd ln_r ln_dc ln_re tra si wt  VIF Variable ln_gdpperc ln_dconsum ln_rexrate simptax tradeopn ln_regnum ln_pdis wtomemb Mean VIF 49  Pooled OLS regression having ln_avermrl Random Effect regression  Random Effect regression having ln_regnum Random-effects GLS regression Group variable: id R-sq: with betw over corr(u_i, ln_netwei ln_pdista ln_gdpp ln_reg ln_dcon ln_rexr trade simp wtom _c sigm sigm  Breusch and Pagan Lagrangian multiplier test for choosing Pooled OLS or Random Effect regression Breusch and Pagan Lagrangian ln_netweight[id,t] Estimated = multiplier Xb + test u[id] + for random effects e[id,t] results: Test: Var( 51  Random Effect regression having ln_avermrl Random-effects GLS regression Group variable: id R-sq: withi betwe overa corr(u_i, ln_netweig ln_pdistan ln_gdppe ln_averm ln_dcons ln_rexra tradeo simpt wtome _co sigma sigma r  Breusch and Pagan Lagrangian multiplier test for choosing Pooled OLS or Random Effect regression Breusch and Pagan Lagrangian multiplier test for random effects ln_netweight[id,t] = Xb + u[id] + e[id,t] Estimated results: Test: Var(u 52 Fixed Effect regression  Fixed Effect regression having ln_regnum Fixed-effects (within) regression Group variable: id R-sq: within between overall corr(u_i, Xb) F 53  Fixed Effect regression having ln_avermrl Fixed-effects (within) regression Group variable: id R-sq: within between overall corr(u_i, Xb) F 54 Hausman Test  Hausman Test for choosing Fixed Effect or Random Effect for ln_regnum B Test: Ho: = b = consistent under inconsistent under Ha, efficient difference in coefficients Ho and Ha; obtained from xtreg under Ho; obtained from xtreg not systematic chi2(8) = (b- B)'[(V_b- V_B)^(-1)](b - B) = 38.05 0.0000 Prob>chi2 = (V_b-V_B is not positive definite)  Hausman Test for choosing Fixed Effect or Random Effect for ln_ avermrl (b) ln_pdistance ln_gdpperc ln_avermrl ln_dconsum ln_rexrate tradeopn simptax wtomemb b = consistent under Ho and Ha; obtained from xtreg B = inconsistent under Ha, efficient under Ho; obtained from xtreg Test: Ho: difference in coefficients not systematic chi2(8) = (b-B)'[(V_b-V_B)^(-1)](b-B) = Prob>chi2 = (V_b-V_B is not positive definite) 55 Heteroskedasticity and autocorrelation test  Modified Wald test testing heteroskedasticity for ln_regnum Modified in fixed H0: sigma(i)^2 chi2 (44) Prob>chi2  Wooldridge test testing autocorrelation for ln_regnum Wooldridge test for autocorrelation in panel data H0: no first-order autocorrelation F( 1, 56  Modified Wald test testing heteroskedasticity for ln_avermrl Modified in fixed H0: sigma(i)^2 chi2 (44) Prob>chi2  Wooldridge test testing autocorrelation for ln_avermrl Wooldridge test for autocorrelation H0: no first - order autocorrelation F( 1, 29) = 12.958 Prob > F = 0.0012 in panel data 57 Driscoll-Kraay Standard Errors for Fixed Effects Regression  Driscoll-Kraay Standard Errors for Fixed Effects Regression having ln_regnum Regression with Driscoll-Kraay standard errors Method: Fixed-effects regression Group variable (i): id maximum lag: 58  Driscoll-Kraay Standard Errors for Fixed Effects Regression having ln_avermrl Regression with Driscoll-Kraay standard errors Method: Fixed-effects regression Group variable (i): id maximum lag: 59 ... 3.2 that the coffee exports from Vietnam are analyzed from 2005 to 2014 The importing coffee of Vietnam from selected countries and regions were increasing in during 2005 to 2014 In contrast,... to the impact of other elements It creates the psychological effect on the production of coffee growers and businesses purchasing coffee export making coffee production to decline as well Finally,... Vietnam' s coffee industry has seen a boom in production to become the world's top producer of coffee causing coffee export to be accounted for the second position in the world in terms of exporting

Ngày đăng: 24/09/2020, 16:25

Từ khóa liên quan

Tài liệu cùng người dùng

Tài liệu liên quan