TABLE PAGE 11 Changes in farmer’s attitudes and beliefs towards rats and rat management, 221 sample rice farmer-respondents under the treatment and control sites, An Giang Province, Meko
Trang 2MANAGEMENT IN AN INTENSIVE IRRIGATED RICE SYSTEM: THE CASE STUDY OF RICE FARMING IN THE MEKONG RIVER DELTA, VIETNAM
Trang 3APRIL 2013
Trang 4BIOGRAPHICAL SKETCH
The author was born on September 02, 1982 in Huong Son district, Ha Tinh Province,
Vietnam He is the fourth child of Ho Viet Luong and Nguyen Thi Tan
He graduated with a Bachelor of Science in Agricultural Economics from Hanoi University of Agriculture, Vietnam in 2005 He has worked as a lecturer at the Department of Quantitative Analysis, Faculty of Economics and Rural Development, Hanoi University of Agriculture (HUA) since 2006
In 2009, he was awarded a scholarship grant funded by the World Bank and Ministry of Education and Training of Vietnam through the Training and Research Improvement Grant Project of HUA (TRIG-HUA), which enabled him to pursue his Master of Science in Agricultural Economics at the Department of Agricultural Economics, College of Economics and Management, University of the Philippines Los Baños (UPLB) His academic performance had been outstanding having obtained an overall average grade of 1.125 from all the graduate courses that he took during the first and second semesters, SY 2009-2010 leading to a Master of Science degree in Agricultural Economics Considering that his overall weighted average grade met the academic requirement for the straight Doctor of Philosophy (PhD) program, he continued to pursue his PhD degree in Agricultural Economics since the first semester of SY 2010-2011 under the TRIG-HUA Scholarship grant
In June 2011, the Southeast Asian Regional Center for Graduate Study and Research in Agriculture (SEARCA) granted him a scholarship grant to enable him to continue his straight Ph.D degree in Agricultural Economics at UPLB In March 2012, he was awarded a PhD dissertation research grant by the Irrigated Rice Research Consortium (IRRC) through the Social Sciences Division (SSD), International Rice Research Institute (IRRI)
He is happily married to Lai Phuong Thao and blessed with a lovely daughter, Ho Ngoc Phuong
HO NGOC NINH
Trang 5ACKNOWLEDGEMENT
I wish to express my since rest gratitude and appreciation to the following people to make the completion
of this research work possible:
To Dr Corazon T Aragon, my academic advisor and chair of my Advisory Committee and Dr Florencia
G Palis, co-major adviser, for their encouragement, invaluable advice, heartfelt guidance, and hearted supports to finish the study
whole-To Dr Flordeliza A Lantican, Dr Zenaida M Sumalde, and Dr Ma Victoria O Espaldon, members of my Advisory Committee, for their valuable suggestions and constructive comments, and encouragement to improve the quality of this study
I would like to extend my gratitude and appreciation to Dr Roderick M Rejesus, for answering my queries related to my research and for providing invaluable advice I also would like to extend my appreciation to
Dr Grant R Singleton, Coordinator of IRRC, IRRI, for allowing me to utilize the EBRM Project data and for his invaluable contributions to the development of this research
To the staff of the College of Economics and Management (CEM); School of Environmental Science & Management; the UPLB Graduate School; the UPLB Foundation Inc.; the Social Sciences Division (SSD) and the Training Center of IRRI, for their kind help, support and good services
To the local authorities and officers at the Plant Protection Subdivision, and the Department of Agriculture and Rural Development in An Giang Province, for their cooperation in providing me the needed information Special thanks also to Ms Truong Thi Ngoc Chi for her help in data collection
To the World Bank and the Ministry of Education and Training of Vietnam, and the management and the staff of the TRIG-HUA, for granting full financial support to enable me to pursue my M S degree and partial financial support for my Straight PhD Program
To the Southeast Asian Regional Center for Graduate Study and Research in Agriculture (SEARCA), for granting a scholarship to enable me to continue my straight PhD Program, especially to Dr Gil C Saguiguit, Jr., Director and Dr Editha C Cedicol, Head of the Graduate Scholarship Department (GSD) I would like also to express my gratitude to all the staff of GSD for responding to all my scholarship-related requests so graciously
To Dr Tran Duc Vien, Rector; Dr Vu Van Liet, Vice-Rector, of Hanoi University of Agriculture; Dr Do Kim Chung, former Dean; Dr Tran Dinh Thao, current Dean; Dr Nguyen Thi Minh Hien, and Dr Nguyen Van Song, Deputies, of the Faculty of Economics and Rural Development; Dr Pham Van Hung, former Head; Dr Nguyen Thi Duong Nga, current Head; and Dr Nguyen Tuan Son, of the Department of Quantitative Analysis, for their logistical and moral encouragement and valuable advice for the pursuit of
my Ph.D degree To all my colleagues and professors at the Department of Quantitative Analysis for their encouragement and to those who took over my academic responsibilities during my study leave
To Dr Tuong, Dr Vinh and their families, as well as, all my Vietnamese and international friends at UPLB and IRRI, for their understanding, encouragement, and full support during the period of my study; and special thanks to Ms Trina Leah T Mendoza for editing my dissertation manuscript
To my dear parents Ho Viet Luong and Nguyen Thi Tan; my dear parents-in-law Lai Huy Binh and Vu Thi Thu Huong; my dear grandmother-in-law Nguyen Thi Chat; my dear uncles and uncles-in-law and their families; my dear brothers, sisters and their families; and my dear brother-in-law, who were sources of my inspiration, for their support, encouragement, patience, understanding, and for taking care of my wife and daughter during the period of my graduate study; and
Trang 6Finally, to my beloved wife Lai Phuong Thao, and my wonderful daughter, Ho Ngoc Phuong, for their love, patience, sacrifices, support and understanding, to whom this research work is dedicated
2.1.1 Empirical Studies Related to the Evolution of Ecologically- Based Rodent Management
Trang 7Efficiency of Rice Farmers in Vietnam
4.1.2 Selection of the Sample Rice Farmer-Respondents 89 4.2 Types of Data and Methods of Data Collection 91
4.3.4 Estimation Procedures and Empirical Specification for Impact Assessment Using Panel Data
96 4.3.5 Analysis of Stochastic Production and Efficiency 103
Trang 8CHAPTER PAGE
5.1 Characteristics of the Sample Rice Farmer-Respondents and Their Rice Farms
114
5.2 Changes in the Rice Farmers’ Attitudes Towards Rodent Management and Their Rodent Management Practices
124 5.2.1 Dissemination of the EBRM Technology in Vietnam 124 5.2.2 Changes in the Rice Farmers’ Knowledge on Rodent
5.2.3 Changes in the Rice Farmers’ Attitudes and Beliefs Towards Rats and Rat Management 135 5.2.4 Changes in Rodent Control Practices of the Sample
5.3 Comparison of the Mean Levels of Input Use and Paddy Yield Among the Sample Rice Farmer-Respondents 142 5.3.1 Input Use and Yield Comparison of the Sample Rice
5.3.2 Input Use and Yield Comparison between the Treatment
5.3.3 Input Use and Yield Comparison Among the Project Sites 157 5.3.4 Input Use and Yield Comparison by Rice Variety 160 5.3.5 Input Use and Yield Comparison between Farm
Size Groups
162
5.4.1 Change in the Profitability of Rice Production over Time 164 5.4.2 Profitability Comparison between the Treatment
5.4.3 Profitability Comparison between Improved
Trang 9CHAPTER PAGE
5.4.4 Profitability Comparison between Farm Size Groups 186
5.4.5 Profitability Comparison Among Project Sites 188 5.5 Impact of Ecologically-Based Rodent Management
on Rice Yield and Income of Its Beneficiaries 190
5.5.2 Results of Estimated Average Impacts of the EBRM Technology and Its Components on Rice Yield and Income
of the Beneficiaries
197
5.6 Estimated Impact of the EBRM Technology and Its Components
on Technical Efficiency of the Beneficiaries
5.7 Estimated Impact of the EBRM Technology and Its Components
on Allocative and Economic Efficiency
258 5.7.1 Allocative Efficiency of the Sample Rice Farmers 259 5.7.2 Economic Efficiency of the Sample Rice Farmers 264
Trang 11LIST OF TABLES
1 Number of sample rice farmer-respondents by study area, An Giang
Province, Vietnam, 2006 and 2009
90
3 Age, educational attainment and farming experience of 221 sample
rice farmer-respondents by farmer groups, An Giang Province,
Mekong River Delta, Vietnam, 2009
116
4 Average household size by farmer group, 221 sample rice
farmer-respondents, An Giang Province, Mekong River Delta, Vietnam,
2006 and 2009
119
5 Average farm size by farmer groups of 221 sample rice
farmer-respondents, An Giang Province, Mekong River Delta, Vietnam,
2006 and 2009
121
6 Type of rice variety adopted by farmer groups, 221 sample rice
farmer-respondents, An Giang Province, Mekong River Delta,
Vietnam, 2006 and 2009
123
7 Changes in farmers' knowledge on rodent pest management, 88
sample rice farmer-respondents under the control group, An Giang
Province, Mekong River Delta, Vietnam, 2006 and 2009
131
8 Changes in farmers' knowledge on rodent pest management, 133
sample rice farmer-respondents under the EBRM treatment, An
Giang Province, Mekong River Delta, Vietnam, 2006 and 2009
132
9 Changes in farmers' knowledge on rodent pest management, 63
sample rice farmer-respondents under the CA treatment, in An Giang
Province, Mekong River Delta, Vietnam, 2006 and 2009
133
10 Changes in farmers' knowledge on rodent pest management, 70
sample rice farmer-respondents under the CTBS treatment, in An
Giang Province, Mekong River Delta, Vietnam, 2006 and 2009
134
Trang 12TABLE PAGE
11 Changes in farmer’s attitudes and beliefs towards rats and rat
management, 221 sample rice farmer-respondents under the treatment
and control sites, An Giang Province, Mekong River Delta, Vietnam,
2006 and 2009
136
12 Changes in farmer’s attitudes and beliefs towards rats and rat
management, 133 sample rice farmer-respondents under the CA and
CTBS treatments, An Giang Province, Mekong River Delta,
Vietnam, 2006 and 2009
137
13 Changes in percentages of farmer rodent control practices by farmer
group, 221 sample rice farmer-respondents before and after the
implementation of the EBRM Project, An Giang Province, Mekong
River Delta, Vietnam
139
14 Percentage of farmers who applied rat control in each rice-growing
stage in the summer-autumn rice crop by the control and EBRM
farmer groups before and after the implementation of the EBRM
Project, 221 sample rice farmer-respondents in An Giang Province,
Mekong River Delta, Vietnam
141
15 Percentage of farmers who applied rat control in each rice-growing
stage in the summer-autumn rice crop by the CA and CTBS farmer
groups before and after the implementation of the EBRM Project,
133 sample rice farmer-respondents in An Giang Province, Mekong
River Delta, Vietnam
141
16 Mean levels of input use and paddy yield in the summer-autumn
season by year, 221 rice farmer-respondents in An Giang Province,
Mekong River Delta, Vietnam, 2006 and 2009
145
17 Mean levels of input use and paddy yield in the summer-autumn
season by year, 88 rice farmer-respondents under the control group in
An Giang Province, Mekong River Delta, Vietnam, 2006 and 2009
147
18 Mean levels of input use and paddy yield in the summer-autumn
season by year, 133 rice farmer-respondents under the EBRM
treatment in An Giang Province, Mekong River Delta, Vietnam, 2006
and 2009
148
19 Mean levels of input use and paddy yield in the summer-autumn
season by year, 63 rice farmer-respondents under the CA treatment in 150
Trang 13An Giang Province, Mekong River Delta, Vietnam, 2006 and 2009
20 Mean levels of input use and paddy yield in the summer-autumn
season by year, 70 rice farmer-respondents under the CTBS treatment
in An Giang Province, Mekong River Delta, Vietnam, 2006 and 2009
151
21 Comparison of the mean levels of input use and paddy yield in the
summer-autumn season between the control and EBRM treatment
groups before and after the implementation of the EBRM Project,
221 rice farmer-respondents in An Giang Province, Mekong River
Delta, Vietnam
153
22 Comparison of the mean levels of input use and paddy yield in the
summer-autumn season between the control and CA treatment groups
before and after the implementation of the EBRM Project, 151 rice
farmer-respondents in An Giang Province, Mekong River Delta,
Vietnam
155
23 Comparison of the mean levels of input use and paddy yield in the
summer-autumn season between control and CTBS treatment groups
before and after the implementation of the EBRM Project, 158 rice
farmer-respondents in An Giang Province, Mekong River Delta,
Vietnam
157
24 Mean levels of input use and paddy yield in the summer-autumn
season in the project sites before and after the implementation of the
EBRM Project, 221 rice farmer-respondents in An Giang Province,
Mekong River Delta, Vietnam
159
25 Mean levels of input use and paddy yield in the summer-autumn
season by rice variety before and after implementation of the EBRM
Project, 221 rice farmer-respondents in An Giang Province, Mekong
River Delta, Vietnam
161
26 Mean levels of input use and paddy yield in the summer-autumn
season by farm size group before and after implementation of the
EBRM Project, 221 rice farmer-respondents in An Giang Province,
Mekong River Delta, Vietnam
163
27 Cost and returns per hectare of paddy in the summer-autumn season
by survey year, 221 sample rice farmer-respondents in An Giang
Province, Mekong River Delta, Vietnam, 2006 and 2009
165
Trang 14TABLE PAGE
28 Cost structure per hectare of paddy in the summer-autumn season by
year, 221 sample rice farmer-respondents in An Giang Province,
Mekong River Delta, Vietnam, 2006 and 2009
167
29 Cost and returns per hectare of paddy in the summer-autumn season
by year, 88 sample rice farmer-respondents under the control group
in An Giang Province, Mekong River Delta, Vietnam, 2006 and 2009
169
30 Cost and returns per hectare of paddy in the summer-autumn season
by year, 133 sample rice farmer-respondents under the EBRM
treatment in An Giang Province, Mekong River Delta, Vietnam, 2006
and 2009
171
31 Cost and returns per hectare of paddy in the summer-autumn season
by year, 63 sample rice farmer-respondents under the CA treatment
in An Giang Province, Mekong River Delta, Vietnam, 2006 and 2009
173
32 Cost and returns per hectare of paddy in the summer-autumn season
by year, 70 sample rice farmer-respondents under the CTBS
treatment in An Giang Province, Mekong River Delta, Vietnam, 2006
and 2009
174
33 Cost and returns per hectare of paddy of the control and EBRM
groups in the summer-autumn season before and after the
implementation of the EBRM Project, 221 sample rice
farmer-respondents in An Giang Province, Mekong River Delta, Vietnam
177
34 Cost and returns per hectare of paddy of the control and CA groups in
the summer-autumn season before and after the implementation of
the EBRM Project, 151 sample rice farmer-respondents in An Giang
Province, Mekong River Delta, Vietnam
180
35 Cost and returns per hectare of the control and CTBS groups in the
summer-autumn season before and after the implementation of the
EBRM Project, 158 sample rice farmer-respondents in An Giang
Province, Mekong River Delta, Vietnam
183
36 Cost and returns per hectare in the summer-autumn season by rice
variety before and after the implementation of the EBRM Project,
221 sample rice farmer-respondents in An Giang Province, Mekong
River Delta, Vietnam
185
Trang 15TABLE PAGE
37 Cost and returns per hectare in the summer-autumn season by farm
size group before and after the implementation of the EBRM Project,
221 sample rice farmer-respondents in An Giang Province, Mekong
River Delta, Vietnam
187
38 Cost and returns per hectare in the summer-autumn season by the
project site before and after the implementation of the EBRM Project,
221 sample rice farmer-respondents in An Giang Province, Mekong
River Delta, Vietnam
189
39 Probit results for participation in the EBRM treatment, 221 sample
farmer-respondents, An Giang Province, Mekong River Delta,
Vietnam
193
40 Probit results for participation in the CA treatment, 151 sample
farmer-respondents, An Giang Province, Mekong River Delta,
Vietnam
194
41 Probit results for participation in the CTBS treatment, 158 sample
farmer-respondents, An Giang Province, Mekong River Delta,
Vietnam
195
42 Estimated mean impact of the EBRM technology on paddy yield
obtained by the farmer-beneficiaries using the unmatched sample, An
Giang Province, Mekong River Delta, Vietnam
199
43 Estimated mean impact of the EBRM technology on paddy yield
obtained by the farmer-beneficiaries using the 1-to-1 nearest
neighbor matched sample, An Giang Province, Mekong River Delta,
Vietnam
200
44 Estimated mean impact of the EBRM technology on paddy yield
obtained by the farmer-beneficiaries using the kernel matched
sample, An Giang Province, Mekong River Delta, Vietnam
201
45 Estimated mean impact of community action (CA) on paddy yield
obtained by the farmer-beneficiaries using the unmatched sample, An
Giang Province, Mekong River Delta, Vietnam
204
46 Estimated impact of community action (CA) on paddy yield obtained
by the farmer-beneficiaries using the 1-to-1 nearest neighbor matched 205
Trang 16sample, An Giang Province, Mekong River Delta, Vietnam
47 Estimated mean impact of community action (CA) on paddy yield
obtained by the farmer-beneficiaries using the kernel matched
sample, An Giang Province, Mekong River Delta, Vietnam
206
48 Estimated mean impact of the community trap barrier systems
(CTBS) component on paddy yield obtained by the
farmer-beneficiaries using the unmatched sample, An Giang Province,
Mekong River Delta, Vietnam
209
49 Estimated mean impact of the community trap barrier systems
(CTBS) component on paddy yield obtained by the
farmer-beneficiaries using the 1-to-1 nearest neighbor matched sample, An
Giang Province, Mekong River Delta, Vietnam
210
50 Estimated mean impact of the community trap barrier systems
(CTBS) component on paddy yield obtained by the
farmer-beneficiaries using the kernel matched sample, An Giang Province,
Mekong River Delta, Vietnam
211
51 Estimated mean impact of the EBRM technology on real net farm
income of rice farmers using the unmatched sample, An Giang
Province, Mekong River Delta, Vietnam
213
52 Estimated mean impact of the EBRM technology on real net farm
income of rice farmers using the 1-to-1 nearest neighbor matched
sample, An Giang Province, Mekong River Delta, Vietnam
214
53 Estimated mean impact of the EBRM technology on real net farm
income of rice farmers using the kernel matched sample, An Giang
Province, Mekong River Delta, Vietnam
215
54 Estimated mean impact of community action (CA) on real net farm
income of rice farmers using the unmatched sample, An Giang
Province, Mekong River Delta, Vietnam
218
55 Estimated mean impact of community action (CA) on real net farm
income of rice farmers using the 1-to-1nearest neighbor matched
sample, An Giang Province, Mekong River Delta, Vietnam
219
56 Estimated mean impact of community action (CA) on real net farm
income of rice farmers using the kernel matched sample, An Giang 221
Trang 17Province, Mekong River Delta, Vietnam
57 Estimated mean impact of the community trap barrier systems
(CTBS) component on real net farm income of rice farmers using the
unmatched sample, An Giang Province, Mekong River Delta,
Vietnam
223
58 Estimated mean impact of the community trap barrier systems
(CTBS) component on real net farm income of rice farmers using the
1-to-1 nearest neighbor matched sample, An Giang Province,
Mekong River Delta, Vietnam
225
59 Estimated mean impact of the community trap barrier systems
(CTBS) component on real net farm income of rice farmers using the
kernel matched sample, An Giang Province, Mekong River Delta,
Vietnam
226
60 MLE of the Cobb-Douglas stochastic production and technical
inefficiency functions for model 2 using the kernel EBRM matched
sample, 216 rice farmer-respondents in An Giang Province, Mekong
River Delta, Vietnam, before and after the implementation of the
EBRM Project
236
61 Technical efficiency (TE) comparison by socio-economic and farm
specific factors, 216 rice farmer-respondents using the kernel EBRM
matched sample in An Giang Province, Mekong River Delta,
Vietnam, before and after the implementation of the EBRM Project
243
62 MLE of the Cobb-Douglas stochastic production and technical
inefficiency function for model 2 using the kernel CA matched
sample, 147 rice farmer-respondents in An Giang Province, Mekong
River Delta, Vietnam, before and after the implementation of the
EBRM Project
246
63 MLE of the Cobb-Douglas stochastic production and technical
inefficiency functions for model 2 using the kernel CTBS matched
sample, 148 rice farmer-respondents in An Giang Province, Mekong
River Delta, Vietnam, before and after the implementation of the
EBRM Project
249
64 Technical efficiency (TE) comparison between the EBRM farmers
and the control farmers using the EBRM unmatched and kernel
matched samples, An Giang Province, Mekong River Delta, Vietnam,
251
Trang 18before and after the implementation of the EBRM Project
65 Technical efficiency comparison between the CA farmers and the
control farmers using the CA unmatched and kernel matched
samples, An Giang Province, Mekong River Delta, Vietnam, before
and after the implementation of the EBRM Project
254
66 Technical efficiency comparison between the CTBS farmers and the
control farmers using the CTBS unmatched and kernel matched
samples, An Giang Province, Mekong River Delta, Vietnam, before
and after the implementation of the EBRM Project
257
67 Impact of the EBRM technology and its components on allocative
efficiency (AE) using the kernel matched samples, An Giang
Province, Mekong River Delta, Vietnam, 2006 and 2009
261
68 Results of regression analysis showing the effects of socio-economic
and farm-specific factors on economic efficiency, 216 rice
farmer-respondents using the EBRM kernel matched sample, An Giang
Province, Mekong River Delta, Vietnam, 2006 and 2009
265
69 Results of regression analysis showing the effects of socio-economic
and farm-specific factors on economic efficiency, 147 rice
farmer-respondents using the CA kernel matched sample, An Giang
Province, Mekong River Delta, Vietnam, 2006 and 2009
266
70 Results of regression analysis showing the effects of socio-economic
and farm-specific factors on economic efficiency, 148 rice
farmer-respondents using the CTBS kernel matched sample, An Giang
Province, Mekong River Delta, Vietnam, 2006 and 2009
268
Trang 19LIST OF FIGURES
1 Theoretical framework for impact evaluation of the EBRM
technology using DID method
64
3 Output-oriented productivity efficiency measure 71
4 Analytical framework of impact assessment of the EBRM Project in
5 Conceptual framework showing the effects of factors on production,
technical and economic efficiency in rice production in the Mekong
River Delta, Vietnam
8 Distribution of technical efficiency by farmers’ knowledge index on
rodent management, 216 rice farmer-respondents using the EBRM
kernel matched sample, An Giang Province, Mekong River Delta,
Vietnam, 2006 and 2009
239
9 Distribution of technical efficiency by educational attainment, 216
rice farmer-respondents using the EBRM kernel matched sample, An
Giang Province, Mekong River Delta, Vietnam, 2006 and 2009
241
10 Technical efficiency comparison by the membership in a farmers’
organization, 216 rice farmer-respondents using the EBRM kernel matched sample, An Giang Province, Mekong River Delta, Vietnam, 2006 and 2009
242
11 Technical efficiency comparison by the project site, 216 rice
farmer-respondents using the EBRM kernel matched sample, in An Giang
Province, Mekong River Delta, Vietnam, 2006 and 2009
243
Trang 20FIGURE PAGE
12 Technical efficiency comparison between the EBRM farmers and the
control farmers using the kernel matched sample, An Giang
Province, Mekong River Delta, Vietnam, 2006 and 2009
252
13 Technical efficiency comparison between the CA farmers and the
control farmers using the kernel matched sample, An Giang
Province, Mekong River Delta, Vietnam, 2006 and 2009
255
14 Technical efficiency comparison between the CTBS farmers and the
control farmers using the kernel matched sample, An Giang
Province, Mekong River Delta, Vietnam, 2006 and 2009
258
15 Allocative efficiency comparison between the EBRM farmers and
the control farmers using the kernel matched sample, An Giang
Province, Mekong River Delta, Vietnam, 2006 and 2009
260
16 Allocative efficiency comparison between the CA farmers and the
control farmers using the kernel matched sample, An Giang
Province, Mekong River Delta, Vietnam, 2006 and 2009
262
17 Allocative efficiency comparison between the CTBS farmers and the
control farmers using the kernel matched sample, An Giang
Province, Mekong River Delta, Vietnam, 2006 and 2009
263
Trang 21LIST OF APPENDIX TABLES
APPENDIX
1 Area damaged by rats (ha) in the Mekong River Delta and other
parts of Vietnam, 1992-1997 (adapted from Hung et al 1998)
302
2 Results of the t-test of means to determine the significance of the
differences in the mean levels of input use and paddy yield per hectare between the EBRM farmers and the control farmers, before and after the implementation of the EBRM Project
304
3 Results of the t-test of means to determine the significance of the
differences in the mean levels of input use and paddy yield per hectare between the CA farmers and the control farmers, before and after the implementation of the EBRM Project
305
4 Results of the t-test of means to determine the significance of the
differences in the mean levels of input use and paddy yield per hectare between the CTBS farmers and the control farmers, before and after the implementation of the EBRM Project
306
5 Results of the t-test of means to determine the significance of the
differences in the mean levels of input use and paddy yield per hectare between the project sites, before and after the implementation of the EBRM Project
307
6 Results of the t-test of means to determine the significance of the
differences in the mean levels of input use and paddy yield per hectare between conventional and improved varieties, before and after the implementation of the EBRM Project
308
7 Results of the t-test of means to determine the significance of the
differences in the mean levels of input use and paddy yield per hectare by farm size group, before and after the implementation
of the EBRM Project
309
8 Estimated costs of establishing a CTBS per 1,000-sq m area, 2008
summer-autumn rice season, An Giang Province, Mekong River Delta, Vietnam
310
Trang 22APPENDIX
9 Results of the t-test of means to determine the significance of the
differences in the mean production costs and income per hectare between the EBRM farmers and the control farmers, before and after the implementation of the EBRM Project
311
10 Results of the t-test of means to determine the significance of the
differences in the mean production costs and income per hectare between the CA farmers and the control farmers, before and after the implementation of the EBRM Project
312
11 Results of the t-test of means to determine the significance of the
differences in the mean production costs and income per hectare between the CTBS farmers and the control farmers, before and after the implementation of the EBRM Project
313
12 Results of the t-test of means to determine the significance of the
differences in the mean production costs and income per hectare by rice variety, before and after the implementation of the EBRM Project
314
13 Results of the t-test of means to determine the significance of the
differences in the mean production costs and income per hectare
by farm size group, before and after the implementation of the EBRM Project
315
14 Results of the t-test of means to determine the significance of the
differences in the mean production costs and income per hectare
by the project sites, before and after the implementation of the EBRM Project
316
15 Comparison of the means of pre-intervention observable farm
characteristics: EBRM vs Non-EBRM farmers in the study area (Unmatched vs Matched samples)
317
16 Comparison of the means of pre-intervention observable farm
characteristics: CA vs Non-CA Farmers in the study area (Unmatched vs Matched samples)
318
17 Comparison of the means of pre-intervention observable farm
characteristics: CTBS vs Non-CTBS farmers in the study area (Unmatched vs Matched samples)
319
Trang 23APPENDIX
18 Hypothesis test to determine the most appropriate functional
form (Cobb-Douglas vs Translog model), using the EBRM unmatched and kernel matched samples in An Giang Province, Mekong River Delta, Vietnam, before and after the implementation of the EBRM Project
320
19 MLE of the Cobb-Douglas stochastic frontier production
functions and technical inefficiency functions for Model 1 before and after the implementation of the EBRM Project, using the EBRM unmatched and kernel matched samples in
An Giang Province, Mekong River Delta, Vietnam
321
20 MLE of the Cobb-Douglas stochastic frontier production
functions and technical inefficiency functions for Model 2 before and after the implementation of the EBRM Project, using the EBRM unmatched and kernel matched samples in
An Giang Province, Mekong River Delta, Vietnam
322
21 Hypothesis test to determine the presence of technical
inefficiency effects (OLS vs MLE) in the Cobb-Douglas model before and after the implementation of the EBRM Project,
using the EBRM unmatched and kernel matched samples in An Giang Province, Mekong River Delta, Vietnam
323
22 Hypothesis test to determine the most appropriate functional form
(Cobb-Douglas vs Translog model) before and after the implementation of the EBRM Project, using the CA unmatched and kernel matched samples in An Giang Province, Mekong River Delta, Vietnam
324
23 MLE of the Cobb-Douglas stochastic frontier production
functions and technical inefficiency functions for Model 1 before and after the implementation of the EBRM Project, using the CA unmatched and kernel matched samples in An Giang Province, Mekong River Delta, Vietnam
325
24 MLE of the Cobb-Douglas stochastic frontier production
functions and technical inefficiency functions for Model 2 before and after the implementation of the EBRM project, using the CA unmatched and kernel matched samples in An Giang Province, Mekong River Delta, Vietnam
326
Trang 24APPENDIX
25 Hypothesis test to determine the presence of technical
inefficiency effects (OLS vs MLE) in the Cobb-Douglas model before and after the implementation of the EBRM Project,
using the CA unmatched and kernel matched samples in An Giang Province, Mekong River Delta, Vietnam
327
26 Hypothesis test to determine the most appropriate functional form
(Cobb-Douglas vs Translog model) before and after the implementation of the EBRM Project, using the CTBS unmatched and kernel matched samples in An Giang Province, Mekong River Delta, Vietnam
328
27 MLE of the Cobb-Douglas stochastic frontier production
functions and technical inefficiency functions for Model 1 before and after the implementation of the EBRM Project, using the CTBS unmatched and kernel matched samples in
An Giang Province, Mekong River Delta, Vietnam
329
28 MLE of the Cobb-Douglas stochastic frontier production
functions and technical inefficiency functions for Model 2 before and after the implementation of the EBRM Project, using the CTBS unmatched and kernel matched samples in
An Giang Province, Mekong River Delta, Vietnam
330
29 Hypothesis test to determine the presence of technical
inefficiency effects (OLS vs MLE) in the Cobb-Douglas model before and after the implementation of the EBRM Project,
using the CTBS unmatched and kernel matched samples in An Giang Province, Mekong River Delta, Vietnam
331
30 Pearson correlation results for the Cobb-Douglas production
function for Model 2, 216 rice farmers using the EBRM kernel matched sample, An Giang Province, Mekong River Delta, Vietnam, 2006 and 2009
332
31 Pearson correlation results for the Cobb-Douglas production
function for Model 2, 147 rice farmers using the CA kernel matched sample, An Giang Province, Mekong River Delta, Vietnam, 2006 and 2009
334
32 Pearson correlation results for the Cobb-Douglas production
function for Model 2, 148 rice farmers using the CTBS kernel matched sample, An Giang Province, Mekong River Delta, Vietnam, 2006 and 2009
336
Trang 25LIST OF APPENDIX FIGURES
APPENDIX
1 Estimated rice area infected by rodents in An Giang Province,
Mekong River Delta, Vietnam, period 1998-2012
303
Trang 26ABSTRACT
HO NGOC NINH University of the Philippines Los Baños, April 2013 Farm-Level Economic Impact of Ecologically-Based Rodent Management in an Intensive Irrigated Rice System: The Case Study of Rice Farming in the Mekong River Delta, Vietnam
Major Professor: Dr Corazon T Aragon
Using panel data from 221 sample rice farmers in An Giang Province, Mekong River Delta, Vietnam, a comparison of means (t-test) and regression-based strategies along with propensity score matching (PSM) method were employed to assess the impact
of ecologically-based rodent management (EBRM) technology and its components on rice yield and net income of the rice farmer-beneficiaries of this technology Among the estimation methods used, fixed effects with the PSM method were found to be the most appropriate approach to evaluate the farm-level economic impact of the EBRM technology In addition, the study also determined the effects of the EBRM technology and its components on technical, allocative, and economic efficiency of rice farmers in the Mekong River Delta for the period 2006-2009 using stochastic frontier analysis with the PSM method
Results showed that the adoption of the EBRM technology and its components had a significant and positive impact on rice yield, real net income, technical, allocative,
Trang 27and economic efficiency The contributions of the EBRM technology to incremental paddy yield, real net income, technical, allocative and economic efficiency were approximately 0.58-0.60ton/ha, VND1.50-1.57 million/ha, 10.5 percent, 0.7 percent, and 10.1 percent, respectively Moreover, the mean effects of the community action (CA) component on paddy yield, real net income, technical, allocative and economic efficiency
of its beneficiaries were approximately 0.43-0.45ton/ha, VND1.16-1.19 million/ha, 8.9 percent, 0.5 percent, and 8.9 percent, respectively The study also found that the community trap barrier system plus community action (CTBS) component had significant contribution to the increases in paddy yield, real net income, technical, allocative and economic efficiency of the farmer-beneficiaries by approximately 0.70-0.72ton/ha, VND1.77-1.80 million/ha, 12.3 percent, 0.7 percent, and 11.7 percent, respectively These findings implied that the adoption of the EBRM technology and its components may have partly contributed to food security and household income of rice farmers in these communities
Trang 28CHAPTER I
INTRODUCTION
1.1 Background of the Study
Agriculture is an important sector in Vietnam’s economy since it provides 48.7 percent of employment and contributes about 20.6 percent to Gross Domestic Product (GDP) in 2010 (GSO, 2011) The significant food crop in Vietnam is rice, both in terms
of food security and for cultural and lifestyle reasons Vietnam is the fifth rice producer and the second largest rice exporting country in the world (behind Thailand) In 2008, it produced 38.7 million tons of paddy rice, accounting for six percent of the total world rice production (FAO, 2009) Rice is planted on about 7.4 million hectares (ha), accounting for 53.3 percent of the country’s agricultural land area and 66.3 percent of the annual crop land (GSO, 2010) It also provides about 80 percent of carbohydrate and 40 percent of protein intake of the Vietnamese people (Bui Ba Bong, 2000)
Rodents are significant pre- and post-harvest pests of lowland irrigated rice crops throughout Southeast Asia In Vietnam, about eight species of rodents are found in rice
fields and are likely to cause damage, but the key rice rodent pest is Rattus argentiventer
(Brown et al., 2006), and crop damage is approximately 10% each year (Singleton, 2003)
In Vietnam, rodent infestation is considered one of the three most important problems
Trang 29faced by agricultural producers (Huynh, 1987) In some years, rodent damage can be up
to 100% in some locations (Tuan et al., 2003) Other significant impacts include harvest losses, transmission of diseases to people and livestock (Meerburg et al., 2009), contaminated food and water, and damaged buildings and other possessions As in other areas of Asia, the rodent problem in Vietnam has increased since the 1970s in rice-based farming systems (Singleton, 2003) The most likely reasons for this are increases in area and intensity of rice production, and asynchronous planting of crops (Singleton and Petch, 1994, and Singleton, 2003)
post-The level of rodent damage is more severe for poor rural households who lack the capacity to effectively absorb the losses and damage caused by rodents Furthermore, this strongly affects households that are dependent on rice production for their livelihoods (Brown et al., 2010) With intensification of rice-growing from two to three rice crops a year, the rodent population and, consequently its damage to crops, has escalated Damage
to food crops caused by rat infestation has contributed to food insecurity in Vietnam Therefore, reducing the damage and yield loss caused by rodents will obviously have significant benefits not only for individual farmers but also to the national food security
in Vietnam
Farmers often use inappropriate methods to reduce rodent population and the negative impacts of rodent infestation They rely heavily on chemicals, causing risks to non-target species and to the environment, and generally providing poor return on investment (Singleton, 2003) Nevertheless, rodenticides are likely to remain the central management tool for controlling rodent damage in tropical agriculture (Buckle, 1999;
Trang 30Wood and Fee, 2003) Other techniques involve trapping using locally made kill traps, using a plastic barrier around their fields to exclude rodents, digging up burrows using dogs to locate active burrows, hunting rats at night with a spotlight, encouraging cats around houses, fumigating burrows, and flooding burrows with water (Tuan et al., 2003) Rodent management undertaken by farmers is generally conducted individually, in an uncoordinated manner, or is only carried out when rodent damage has already occurred (Brown et al., 2006)
During the period 1992 -2008, the average area of rice severely affected each year
by rodents was about 100,000 ha, which is about 1.3 percent of the area planted In some years, however, the area of severe damage can reach 700,000 ha (in 1998) or 8.9 percent
of the area planted High crop losses to rodents occurred in Vietnam during 1996 to 1999 The cause of these outbreaks was attributed to unusual rainfall events, which led to asynchronous planting and harvesting of rice crops over large areas (Hung et al, 1998) (Appendix Table 1) Hence, high-level national policies aimed at reducing the rodent problem were released in 1998 The Prime Minister of Vietnam at that time promulgated
Decree No 09/1998/CT-TTg on 18 February 1998, which stressedon urgent measures to manage rodents and protect crop production The Ministry of Agriculture and Rural
Development (MARD) subsequently issued Circular 05/1998/TT-BNN-BVTV, which provided detailed guidelines for provinces in implementing Decree No 09/1998/CT-TTg MARD officially requested that the provinces implement Decree No 09/1998/CT-TTg by
focusing on the following key measures: traditional practices to catch rats such as trapping, digging, sticky baiting, etc., restrictingthe use of highly toxic chemicals,
Trang 31banning the use of electric current for rat control, and encouragingthe production of biochemical products that are not harmful to human health and the environment (Huan et al., 2010) Since then, the rodent pest problem had been solved significantly However, farmers continued to rely essentially on chemicals, which could have negative impacts on human and animal healthand biodiversity in rural areas
In addition, governments tended to respond to outbreaks rather than chronic problems, and farmers relied on chemical and physical methods applied after rodents have already damaged the crop (Palis et al., 2007) Some common rodent control methods used by farmers were the application of poison chemicals, field sanitation (cleaning up of food sources and piles of rubbish that provide rodent habitat), digging of rodent burrows to catch rats, and electrocution However, these methods were ineffective
in controlling rats in the field since farmers lacked the knowledge of the ecology of rodent pest species, the relationship between cropping systems and rodent population dynamics, and the awareness on rodent management at the community level (community- based approach) during the early 1990s
As a consequence of the widespread outbreaks of rodent populations in the 1990s,
a concerted effort was made to study rodent population ecology, the damage rodents cause, and to design appropriate management strategies The Australian government, through the Australian Centre for International Agricultural Research (ACIAR)-funded collaborative research from 1996 to 2002, concentrating on the basic ecology of the major rodent pest species, and developing and validating management options, and, from
2006 to 2010, concentrating on adoption, outreach, and impact assessment These
Trang 32projects led to increased capacity within the country and also rigorous assessment of community-based rodent control strategies tested through participatory engagement with farmers and extension agencies (Huan et al., 2010)
In more detail, ACIAR-funded three projects in 1994, 1996 and 1998 regarding the management of rodent pests in Southeast Asia (including Vietnam) The first two
projects entitled Management of rodent pests in Southeast Asia(AS1/1994/020), and Management of rodent pests in Vietnam(AS1/1996/079)aimed to establish a better understanding of the population ecology and habitat use of rodent pests, examine rat damage in rice fields, test management strategies including the rigorous assessment of the trap plus barrier system (TBS) and thereby develop environmentally friendly and sustainable rodent control technologies (Palis et al., 2004, and Brown et al., 2010)
The results of these two projects provided a solid platform for the implementation
of a 4-year follow-up project entitled Managing rodents pests in rice-based farming systems in Southeast Asia(AS1/1998/036), which had five components: (1) the community trap barrier system (CTBS), (2) integrated rodent management at the village level (IRM-V), (3) forecasting and ecology of rodent populations, (4) biological control, and (5) rodent pest network and training The key aims of this work were to field-test a combination of community actions (CA) for rodent management in combination with the CTBS In Vietnam and Indonesia, large-scale replicated field studies were conducted over a 4-year period that involved farming communities in the testing and evaluation of the practices There was a pre-treatment period, and then 3years of ecologically-based rodent management (EBRM) strategies were implemented Assessments were made of the
Trang 33knowledge, attitudes and practices of farmers to rodent management, and economic assessments of management were conducted using benefit-cost ratios (Palis et al., 2004, and Brown et al., 2010)
In 2006, ACIAR funded another rodent management project, entitled
Implementation of rodent management in intensive irrigated rice production systems in Indonesia and Vietnam (ADP/2003/060) This is the fourth in a line of projects that have
addressed the problem of rodents in the lowland irrigated rice farming system, and identified and tested a range of management strategies leading to some large-scale replicated field experiments at the village-level to develop recommendations for management This project was designed to implement EBRM which can reduce rat damage, increase yields and reduce the reliance on rodenticides This project builds on the findings from previous ACIAR projects (AS1/1998/036) EBRM relies on an understanding of the ecology of rats which then governs better integrated community actions (synchronised cropping, field and village hygiene, rat hunts at key times) and the CTBS(a plastic fence set with rat traps enclosing a small area of early-planted rice) These approaches need community cooperation Key issues are how to deliver EBRM to the wider farming community, develop extension materials, increase cost-effectiveness, build the capacity of support staff, and develop pathways to enhance the adoption of EBRM Project activities occurred in lowland irrigated rice systems in Vietnam (Ha Nam Province
in the Red River Delta and An Giang Province in the Mekong River Delta) It involved a multidisciplinary team of research and extension agencies in Vietnam, Philippines and Australia (Brown et al., 2010)
Trang 34The key issues that were to be addressed in the current project (ADP/2003/060) were to: (1) understand how community-based management recommendations could be incorporated within existing structures; (2) understand the social and economic constraints that might enable farmers to take up the technologies; (3) enable functional institutional arrangements that allow effective communication to facilitate delivery of technologies through to influencing government policy; (4) provide joint ownership of projects (farmers through to government officials); (5) improve farmers’ livelihoods through adoption of EBRM strategies; (6) develop efficient extension networks; and (7) involve nongovernment organizations (NGOs) to assist with regional adoption of EBRM
This project was implemented in two provinces/regions in Vietnam, namely: An Giang Province (Mekong River Delta) and Ha Nam Province (Red River Delta) from 2006-2010 While both are lowland irrigated rice cropping systems, they are different, and the findings from this project can demonstrate the utility and robustness of EBRM strategies over a range of lowland irrigated rice agro-ecosystems However, this study only focused on the implementation and its economic impact on rice production in the Mekong River Delta, Vietnam
1.2 Statement of the Problem
Rice is grown in many areas throughout Vietnam, but the two principal areas are the Red River Delta in northern Vietnam, and the Mekong River Delta in southern Vietnam, which are large low-lying areas with good soil and water resources Rice
Trang 35production in Vietnam is mostly concentrated in the Mekong River Delta, which consists
of 13 provinces and covers12 percent of the total country’s land area The Mekong River Delta covers more than 4million ha of natural land area, two-thirds of which is agricultural land, and the rest is comprised of rivers and other uses (GSO, 2009) The Mekong River Delta plays a significant and strategic role in attaining the food security of Vietnam It contributes about 52 percent of the country’s rice production and 40 percent
of the regional Gross Domestic Product (GDP) as well as accounts for 90 percent of the country’s rice export in volume
Rice cultivation is the most important sub-sector in the Mekong River Delta since
it plays a crucial role in employment creation and income generation, especially from rice exports, poverty reduction, and food security for the region and for the country as a whole However, it is difficult to expand rice production by increasing rice land area or crop intensification since almost all the agricultural land in the Mekong River Delta has been utilized The Mekong River Delta is an intensive irrigated rice farming system which grows two or three rice crops per year There are also limitations related to crop intensification such as soil erosion, pest infestation, and especially high yield losses due
to rodent pest damage in rice fields
In the Mekong River Delta as in other regions in Vietnam, rodent pest damage is one of the main constraints in rice production Rodent pests were a growing problem in the rice agro-ecosystems of the Mekong River Delta, and in Vietnam as a whole during the early 1990s However, little is known about which rodent species are responsible for losses to crop production, let alone how best to manage their impact According to Brown
Trang 36et al.(1999), a survey of rat species in nine provinces in the Mekong River Delta found
that the dominant rodent species in rice ecosystems were the ricefield rat, Rattus argentiventer (60%) and the lesser rice field rat, Rattus losea (15%) Ten other species
accounted for the remaining 25 percent of the population, and were unlikely to cause significant damage to pre-harvest rice The area damaged and yield losses by rats increased over time and reached 130,000 ha over most provinces of the Mekong River Delta in 1996 (Brown et al., 1999) The factors that have led to increased losses include more intensive farming and a general increase from two to three crops planted per year (Singleton and Petch, 1994)
During the project implementation period (2006-2009), positive results from the adoption of EBRM were observed and documented in some publications such as reducing rodenticide use, increasing rice yield, and changing farmers’ attitudes and practices towards rodent management However, particularly in the Mekong River Delta, many rice farmers still opt to use rodenticides and traditional practices in an uncoordinated manner to manage the rodent pest instead of the EBRM technology Perhaps, there is lack of information on the overall economic benefits of adopting the EBRM technology Hence, there is a need to conduct an empirical study on the economic impact of the EBRM technology on rice production in the Mekong River Delta, Vietnam, as a case study
Furthermore, most EBRM studies, particularly in the Mekong River Delta of Vietnam, focused more on analyzing the biological, social and cultural aspects of rodent management and its impact on rice production in general using experimental methods or using household survey data at the farm level by applying simple descriptive statistical
Trang 37methods To date, no analysis has been done to measure the economic impact of EBRM
on rice production using “new generation” impact evaluation methods such as regression analysis with difference-in-difference method and propensity score matching techniques using farm level panel data In addition, there have been no studies on technical efficiency, allocative efficiency and economic efficiency of rice production in the Mekong River Delta associated with adopting the EBRM technology Hence, this study provided more reliable methodologies of good ex-post impact evaluation techniques to assess the farm-level economic impacts of the EBRM technology in Vietnam
1.3 Objectives of the Study
The general objective of the study is to assess the farm-level economic impact of the EBRM technology on rice productivity, farm income, and economic efficiency of rice farmers in the Mekong River Delta, Vietnam Specifically, the study aimed to:
1 Describe the socioeconomic characteristics of the sample rice farmer-participants and non-participants of the EBRM Project;
2 Determine the changes in the rice farmers’ attitudes towards rodent management and their rodent management practices over time;
3 Assess the impact of adopting the EBRM technology and its components on rice productivity and net income from rice production;
4 Measure and compare the impact of EBRM on technical efficiency, allocative efficiency and economic efficiency levels between EBRM participants and non-
Trang 38participants and identify the major determinants of technical and economic efficiency of rice farmers; and
5 Recommend policy measures to improve the performance and increase the adoption of the EBRM technology to achieve sustainable resource management and food security in Vietnam
1.4 Significance of the Study
Results of the study provided useful information on the economic impacts on rice producers of adopting EBRM in the rice sub-sector in the Mekong River Delta Such information can guide policymakers in formulating appropriate intervention and strategies to increase the adoption of rodent management technologies to reduce production risks of rice farmers and improve their economic welfare in the Mekong River Delta Furthermore, the results of this study will contribute to a better understanding of the economic benefits of adopting EBRM on rice production and then will encourage rice farmers to adopt this technology effectively and sustainably
Finally, the study serves as a methodological guidance using “new generation” research methods for future studies on the economic impact assessment of a given agricultural technology
Trang 39CHAPTER II
REVIEW OF LITERATURE
2.1 Ecologically-Based Rodent Management
2.1.1 Empirical Studies Related to the Evolution of
Ecologically-Based Rodent Management
In 1996, a review of pest management of insects and weeds by the Board on Agriculture of the National Research Council (NRC) of the United States of America, highlighted that the practice of integrated pest management (IPM) has generally not been consistent with its underlying philosophy They contend that there has been too much focus on pest scouting and precise application of pesticides They argue that there is a need to refocus objectives from pest control to pest management and this requires greater emphasis on ecological research and a systems approach (National Research Council, 1996) This extension and refocusing of the ecological aspects of IPM led the NRC to develop a concept termed ‘ecologically-based pest management (EBPM)’ The fundamental goals of EBPM are threefold: (1) to minimize adverse effects on non-target species and the environment; (2) to develop an approach that is economic for end-users,
Trang 40particularly farmers, in both developed and developing world; and (3) to establish an approach that is durable (Singleton et al., 1999a)
The development of IPM for rodents has followed a path similar to IPM for insects The primary foci have been the development of simple monitoring systems to decide whether or not to instigate a baiting campaign, and the development of effective patterns of use for particular rodenticides Generally, the focus in rodent control has been mostly to achieve a visible increase in mortality, without appropriate attention to other demographic processes or ecological compensation mechanisms (Singleton et al 1999a)
For rodents, an ecological basis for control was suggested many years ago (Hansson and Nilsson 1975; and see also Redhead and Singleton, 1988) but the implementation of those early ideas has been largely overlooked (Singleton et al., 1999a) After several decades of unsuccessful control, a new strategy was developed based on a long-term population dynamics study and biological simulations A complete solution of the problem was obtained in less than 6 years through integrating knowledge about the animal’s biology and behavior with well-organized control scheme with attractive incentive for trappers (Gosling and Baker, 1989) The advantages of viewing biological control of rodents as part of an integrated ecologically based approach to rodent management rather than a simple panacea for control has been reviewed by Singleton and Brown (1999b) For simplicity, they proposed that this strategy be termed ‘ecologically-based rodent management (EBRM)’,
EBRM, whose primary aim is to provide effective and economic management of rodent pests, is regarded as the most rational strategy for the future EBRM is essentially