3. Policy
Please rate the importance of the following criteria (in which the importance is arranged in ascending order from 1 to 5).
STT
Target | Rating Level | |||||
1 | 2 | 3 | 4 | 5 | ||
1 | Local authorities implement policies to preserve good rice land | |||||
2 | The policy of exemption and reduction of land use fees is well implemented. | |||||
3 | Land concentration support policy implemented well | |||||
4 | Credit access and support policies are well implemented. | |||||
5 | Policy to support training to create agricultural human resources is well implemented. | |||||
6 | Policy to support investment in facilities (Agricultural product preservation and processing; livestock and poultry slaughter; manufacturing of agricultural equipment, components and machinery; production of auxiliary products) is well implemented. | |||||
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4. Climate change factor
Please rate the importance of the following criteria (in which the importance is arranged in ascending order from 1 to 5).
STT
Target | Rating Level | |||||
1 | 2 | 3 | 4 | 5 | ||
1 | Droughts occur frequently. | |||||
2 | Droughts often last for a long time. | |||||
3 | Flooding occurs frequently. | |||||
4 | Floods often last for a long time. | |||||
Interviewer
APPENDIX 2: RESULTS OF PROCESSING SURVEY DATA ON SPSS
Appendix 2.1. Descriptive statistics
Age
Frequency | Percent | Valid Percent | Cumulative Percent | |
30 to 45 years old | 21 | 14.1 | 14.1 | 14.1 |
45 to 60 years old | 75 | 50.3 | 50.3 | 64.4 |
Valid | ||||
Over 60 years old | 53 | 35.6 | 35.6 | 100.0 |
Total | 149 | 100.0 | 100.0 |
CI.3 Gender
Frequency | Percent | Valid Percent | Cumulative Percent | ||
Male | 122 | 81.9 | 81.9 | 81.9 | |
Valid | Female | 27 | 18.1 | 18.1 | 100.0 |
Total | 149 | 100.0 | 100.0 |
CI.7. Number of years involved in agricultural production
Frequency | Percent | Valid Percent | Cumulative Percent | ||
Under 5 years | 1 | .7 | .7 | .7 | |
From 5 to under 10 years | 3 | 2.0 | 2.0 | 2.7 | |
Valid | From 10 to 15 years | 9 | 6.0 | 6.0 | 8.7 |
Over 15 years | 136 | 91.3 | 91.3 | 100.0 | |
Total | 149 | 100.0 | 100.0 |
CI.8. Education level
Frequency | Percent | Valid Percent | Cumulative Percent | ||
Valid | Elementary | 75 | 50.3 | 50.3 | 50.3 |
Secondary School | 68 | 45.6 | 45.6 | 96.0 |
High School | 5 | 3.4 | 3.4 | 99.3 |
College/University | 1 | .7 | .7 | 100.0 |
Total | 149 | 100.0 | 100.0 |
CI.9. Household type
Frequency | Percent | Valid Percent | Cumulative Percent | ||
Poor | 4 | 2.7 | 2.7 | 2.7 | |
Near poor | 2 | 1.3 | 1.3 | 4.0 | |
Valid | Medium | 140 | 94.0 | 94.0 | 98.0 |
Above average | 3 | 2.0 | 2.0 | 100.0 | |
Total | 149 | 100.0 | 100.0 |
XH_recode
Frequency | Percent | Valid Percent | Cumulative Percent | |
Normal | 1 | .7 | .7 | .7 |
Get better | 35 | 23.5 | 23.5 | 24.2 |
Valid | ||||
Much better | 113 | 75.8 | 75.8 | 100.0 |
Total | 149 | 100.0 | 100.0 |
CSHT_rcode
Frequency | Percent | Valid Percent | Cumulative Percent | |
Normal | 3 | 2.0 | 2.0 | 2.0 |
Get better | 18 | 12.1 | 12.1 | 14.1 |
Valid | ||||
Much better | 128 | 85.9 | 85.9 | 100.0 |
Total | 149 | 100.0 | 100.0 |
CS_recode_2
Frequency | Percent | Valid Percent | Cumulative Percent |
4 | 2.7 | 2.7 | 2.7 | |
Good | 67 | 45.0 | 45.0 | 47.7 |
Valid | ||||
Very good | 78 | 52.3 | 52.3 | 100.0 |
Total | 149 | 100.0 | 100.0 |
Normal
KH_recode
Frequency | Percent | Valid Percent | Cumulative Percent | ||
Happens less | 7 | 4.7 | 4.7 | 4.7 | |
Normal | 42 | 28.2 | 28.2 | 32.9 | |
Valid | Happens a lot | 66 | 44.3 | 44.3 | 77.2 |
Happens a lot | 34 | 22.8 | 22.8 | 100.0 | |
Total | 149 | 100.0 | 100.0 |
_recode
Frequency | Percent | Valid Percent | Cumulative Percent | |
Normal | 28 | 18.8 | 18.8 | 18.8 |
increase | 57 | 38.3 | 38.3 | 57.0 |
Valid | ||||
Increase a lot | 64 | 43.0 | 43.0 | 100.0 |
Total | 149 | 100.0 | 100.0 |
Appendix 2.2: Correlation analysis
Correlations
DG | XH_recode | CSHT_rcode | CS_recode | KH_recode | TN_recode | ||
DG | 1,000 | .542 | .354 | -.133 | .538 | -.332 | |
XH_recode | .542 | 1,000 | .145 | .201 | .192 | .039 | |
Pearson Correlati on | CSHT_rcode | .354 | .145 | 1,000 | .056 | .067 | -.090 |
CS_recode_ 2 | -.133 | .201 | .056 | 1,000 | .014 | .507 | |
KH_recode | .538 | .192 | .067 | .014 | 1,000 | -.029 |
TN_recode | -.332 | .039 | -.090 | .507 | -.029 | 1,000 | |
DG | . | .000 | .000 | .052 | .000 | .000 | |
XH_recode | .000 | . | .039 | .007 | .009 | .319 | |
Sig. (1- tailed) | CSHT_rcode | .000 | .039 | . | .249 | .207 | .137 |
CS_recode_ 2 | .052 | .007 | .249 | . | .434 | .000 | |
KH_recode | .000 | .009 | .207 | .434 | . | .361 | |
TN_recode | .000 | .319 | .137 | .000 | .361 | . | |
DG | 149 | 149 | 149 | 149 | 149 | 149 | |
XH_recode | 149 | 149 | 149 | 149 | 149 | 149 | |
CSHT_rcode | 149 | 149 | 149 | 149 | 149 | 149 | |
N | CS_recode_ 2 | 149 | 149 | 149 | 149 | 149 | 149 |
KH_recode | 149 | 149 | 149 | 149 | 149 | 149 | |
TN_recode | 149 | 149 | 149 | 149 | 149 | 149 |
Appendix 2.3: Regression Analysis
Model Summary
Model
R | R Square | Adjusted R Square | Std. Error of the Estimate | |
1 | .542a | .294 | .289 | .442 |
2 | .699b | .489 | .482 | .377 |
3 | .776c | .602 | .594 | .334 |
4 | .809d | .655 | .645 | .312 |
5 | .815e | .664 | .652 | .309 |
a. Predictors: (Constant), XH_recode
b. Predictors: (Constant), XH_recode, KH_recode
c. Predictors: (Constant), XH_recode, KH_recode, TN_recode
d. Predictors: (Constant), XH_recode, KH_recode, TN_recode, CSHT_rcode
e. Predictors: (Constant), XH_recode, KH_recode, TN_recode, CSHT_rcode, CS_recode_2
ANOVA a
Model
Sum of Squares | df | Mean Square | F | Sig. | ||
Regression | 11,930 | 1 | 11,930 | 61,076 | .000 b | |
1 | Residual | 28,714 | 147 | .195 | ||
Total | 40,644 | 148 | ||||
Regression | 19,859 | 2 | 9,930 | 69,749 | .000 c | |
2 | Residual | 20,785 | 146 | .142 | ||
Total | 40,644 | 148 | ||||
Regression | 24,465 | 3 | 8,155 | 73,087 | .000d | |
3 | Residual | 16,179 | 145 | .112 | ||
Total | 40,644 | 148 | ||||
Regression | 26,605 | 4 | 6.651 | 68,222 | .000 e | |
4 | Residual | 14,039 | 144 | .097 | ||
Total | 40,644 | 148 | ||||
Regression | 26,979 | 5 | 5,396 | 56,461 | .000f | |
5 | Residual | 13,666 | 143 | .096 | ||
Total | 40,644 | 148 |
a. Dependent Variable: DG
b. Predictors: (Constant), XH_recode
c. Predictors: (Constant), XH_recode, KH_recode
d. Predictors: (Constant), XH_recode, KH_recode, TN_recode
e. Predictors: (Constant), XH_recode, KH_recode, TN_recode, CSHT_rcode
f. Predictors: (Constant), XH_recode, KH_recode, TN_recode, CSHT _rcode, CS_recode_2
Coefficients a
Model
Unstandardized Coefficients | Standardized Coefficients | t | Sig. | Collinearity Statistics | |||
B | Std. Error | Beta | Tolerance | VIF | |||
(Constant) | .768 | .417 | -.458 | 1,840 | .068 | .907 | 1.103 |
TN_recode | -.534 | .059 | -8.984 | .000 | |||
.271 | .031 | .427 | 8,637 | .000 | .960 | 1,041 | |
XH_recode | 180 | .040 | 257 | 4,520 | .000 | .726 | 1,377 |
CSHT _rcode | .302 | .062 | .242 | 4,891 | .000 | .961 | 1,041 |
CS_recode_2 | -.108 | .055 | -.114 | -1.977 | .050 | .704 | 1,420 |
KH_recode
APPENDIX 3. DATA, INTERPOLATION RESULTS, FORECAST SIMULATION FROM SPI RAIN DATA
Appendix 3.1. Results of calculating SPI index for Summer-Autumn crop months of 2015 and 2035 of monitoring stations and TRMM stations in Quang Dien district
Year
Month | Hue | Phu Oc | Kim Long | |
2015 | 5 | 0.39 | -1.62 | 0.54 |
2015 | 6 | 0.43 | -1.27 | 0.51 |
2015 | 7 | 0.32 | -0.83 | 0.72 |
2015 | 8 | -0.87 | -0.99 | -0.46 |
2035 | 5 | 0.6 | -0.17 | -1.32 |
2035 | 6 | 1.02 | 0.53 | -1.14 |
2035 | 7 | -1.29 | -1.21 | -1.01 |
2035 | 8 | 0.09 | -0.04 | -1.58 |
Year
Month | TRMM1 | TRMM2 | TRMM3 | TRMM4 | |
2015 | 5 | -1.67 | -1.29 | -1.67 | -0.21 |
2015 | 6 | -0.65 | -1.38 | -0.65 | 1.65 |
2015 | 7 | -0.74 | -1.16 | -0.74 | -0.34 |
2015 | 8 | -0.7 | -0.98 | -0.7 | -0.22 |
2035 | 5 | -0.92 | -1.11 | -0.92 | -0.75 |
2035 | 6 | -0.87 | -1.12 | -0.87 | -0.76 |
2035 | 7 | -1.09 | -1.03 | -1.09 | -1 |
2035 | 8 | -0.78 | -1.07 | -0.78 | -0.55 |
Year | Month | TRMM5 | TRMM6 | TRMM7 | TRMM8 |
2015 | 5 | -0.21 | -0.21 | -0.21 | -0.21 |
2015 | 6 | 1.65 | 1.65 | 1.65 | 1.65 |
2015 | 7 | -0.34 | -0.34 | -0.34 | -0.34 |
2015 | 8 | -0.22 | -0.22 | -0.22 | -0.22 |
2035 | 5 | -0.75 | -0.75 | -0.75 | -0.75 |
2035 | 6 | -0.76 | -0.76 | -0.76 | -0.76 |
2035 | 7 | -1 | -1 | -1 | -1 |
2035 | 8 | -0.55 | -0.55 | -0.55 | -0.55 |
Appendix 4.
Results of flood map classification accuracy assessment