Affective Policy Performance Evaluation Model: A Case of an International Trade Policy Implementation
Abstract
:1. Introduction
2. Literature Review
2.1. The Dichotomy between Policy Makers and Private Firms
2.2. Resources of Trade Policy Implementation
2.3. Limitations in Existing Policy Performance Evaluation
2.4. Affective Evaluation of Policy Performance
3. Method
3.1. Research Model
3.2. Sample, Data Collection, and Measurement Items
4. Results
4.1. Sample Characteristics
4.2. Measure Validation
4.3. Hypothesis Test Results
5. Discussion and Conclusions
5.1. Theoretical Implication
5.2. Managerial Implication
5.3. Limitations and Future Research
Acknowledgments
Author Contributions
Conflicts of Interest
References
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Constructs | Measures | Researchers |
---|---|---|
Public awareness | The government has strong interest in STCS. Firms have strong interest in STCS. Consumers have strong interest in STCS. | Victor [12] Cobb-Walgren [53] Dahlen [54] |
Incentive | The government offer of relaxation of export regulations upon STCS adoption is an attractive condition for my firm. The government offer of permission to export to more countries upon STCS adoption is an attractive condition for my firm. The government offer of annual awards for firms with good STCS adoption trends is an attractive condition for my firm. | Leeuw [20] Goebel et al. [55] Speedy et al. [56] |
Penalty | The government enforced monetary charge upon violating STCS is a severe condition for my firm. The government enforced criminal sanction upon violating STCS is a severe condition for my firm. The government enforced export prohibition upon violating STCS is a severe condition for my firm. | Lemaire [21] Goebel et al. [55] Speedy et al. [56] |
Government-based facilitating conditions | The government has provided an information system for the implementation of the STCS. The government has expert organization for the implementation of the STCS. The education program, public relations or compliance program that the government provides are helpful for a firm to implement the STCS. | Freitas and Tunzelmann [13] Kang et al. [57] Shin et al. [58] |
Firm-based facilitating conditions | My firm has specialized individuals to implement the STCS. My firm has information systems to implement STCS. Employees at my firm regularly attend STCS training programs provided by the government. | |
Genuinecompliance | Employees at my firm believe that adopting STCS is good for society. Employees at my firm believe that adopting STCS is important for society. Employees at my firm believe that violating STCS will result in critical social problems. | Girard and Sobczak [32] Etienne [59] Chen et al. [60] |
Superficialcompliance | It would be too costly for my firm not to adopt STCS. My firm is under an obligation to adopt STCS. My firm takes STCS seriously because of the relationship with the government. | |
Voluntaryadoption | My firm will adopt STCS voluntarily. My firm will adopt STCS even if the government does not require it. My firm will adopt STCS even without the government coercion. | Lyon and Maxwell [41] Gagné [61] Nikolaeva and Bicho [62] |
Firm and Personnel Characteristics | Frequency | Ratio | |
---|---|---|---|
Firm size (the number of employees) n = 207 | Under 50 | 45 | 21.7% |
50–149 | 52 | 25.1% | |
150–299 | 42 | 20.3% | |
300–999 | 7 | 3.4% | |
Over 1000 | 61 | 29.5% | |
Strategic items n = 207 | Dual-use items | 153 | 73.9% |
Defense software | 43 | 20.8% | |
Nuclear technology | 4 | 1.9% | |
Other items | 7 | 3.4% | |
Organizational positions n = 207 | Representatives | 25 | 12.1% |
General managers | 77 | 37.2% | |
Managers | 44 | 21.3% | |
Assistant managers | 61 | 29.4% | |
Trade region (cross responses) | Asia | 131 | 42.0% |
Middle East | 45 | 14.4% | |
Europe | 52 | 16.7% | |
North America | 63 | 20.2% | |
Central and South America | 12 | 3.8% | |
Africa | 7 | 2.2% | |
Oceania | 2 | 0.7% |
PBAW | INCT | PENT | GOVT | FIRM | GCMP | SCMP | VOLU | |
---|---|---|---|---|---|---|---|---|
PBAW | 0.65 | |||||||
INCT | 0.35 ** (0.12) | 0.69 | ||||||
PENT | 0.06 (0.01) | 0.17 * (0.03) | 0.83 | |||||
GOVT | 0.21 ** (0.04) | 0.30 ** (0.09) | 0.03 (0.01) | 0.80 | ||||
FIRM | 0.43 ** (0.18) | 0.28 ** (0.08) | 0.09 (0.01) | 0.33 ** (0.11) | 0.72 | |||
GCMP | 0.42 ** (0.18) | 0.58 ** (0.03) | 0.23 ** (0.10) | 0.33 ** (0.11) | 0.35 ** (0.12) | 0.75 | ||
SCMP | −0.30 ** (0.09) | −0.26 ** (0.07) | 0.18 ** (0.03) | −0.31 ** (0.10) | −0.35 ** (0.12) | −0.21 ** (0.04) | 0.62 | |
VOLU | 0.47 ** (0.22) | 0.40 ** (0.16) | 0.18 ** (0.03) | 0.26 ** (0.10) | 0.38 ** (0.14) | 0.60 ** (0.36) | −0.23 ** (0.10) | 0.82 |
Mean | 3.38 | 3.45 | 3.54 | 2.58 | 2.99 | 3.60 | 2.90 | 3.57 |
Std. dev. | 0.84 | 0.79 | 0.87 | 0.98 | 0.89 | 0.75 | 0.77 | 0.75 |
Latent Variable | Item | Factor Loading | Std. Errors | Std. Loading | t-Value | CR | AVE |
---|---|---|---|---|---|---|---|
Public awareness | PBAW1 | 1 | - | 0.93 | - | 0.84 | 0.65 |
PBAW2 | 0.63 | 0.08 | 0.47 | 7.02 ** | |||
PBAW3 | 1.01 | 0.07 | 0.92 | 13.87 ** | |||
Incentive | INCT1 | 1 | - | 0.78 | - | 0.88 | 0.69 |
INCT2 | 1.15 | 0.1 | 0.89 | 11.94 ** | |||
INCT3 | 0.83 | 0.09 | 0.76 | 10.31 ** | |||
Penalty | PENT1 | 1 | - | 0.86 | - | 0.92 | 0.83 |
PENT2 | 1.09 | 0.07 | 0.95 | 19.62 ** | |||
PENT3 | 1.02 | 0.06 | 0.86 | 16.44 ** | |||
Government-based facilitating condition | GOVT1 | 1 | - | 0.88 | - | 0.91 | 0.8 |
GOVT2 | 1.17 | 0.06 | 0.95 | 18.93 ** | |||
GOVT3 | 1.1 | 0.05 | 0.87 | 17.05 ** | |||
Firm-based facilitating condition | FIRM1 | 1 | - | 0.84 | - | 0.88 | 0.72 |
FIRM2 | 1 | 0.07 | 0.89 | 14.61 ** | |||
FIRM3 | 0.95 | 0.08 | 0.83 | 13.74 ** | |||
Genuine compliance | GCMP1 | 1 | - | 0.77 | - | 0.89 | 0.75 |
GCMP2 | 1.01 | 0.09 | 0.81 | 11.33 ** | |||
GCMP3 | 1.02 | 0.09 | 0.82 | 11.52 ** | |||
Superficial compliance | SCMP1 | 1 | - | 0.84 | - | 0.83 | 0.62 |
SCMP2 | 0.96 | 0.08 | 0.78 | 10.48 ** | |||
SCMP3 | 0.87 | 0.08 | 0.71 | 9.41 ** | |||
Voluntary adoption | VOLU1 | 1 | - | 0.85 | - | 0.92 | 0.82 |
VOLU2 | 1.01 | 0.07 | 0.85 | 14.75 ** | |||
VOLU3 | 0.94 | 0.07 | 0.84 | 14.52 ** |
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Kang, I.; Jee, H.S.; Shin, M.M. Affective Policy Performance Evaluation Model: A Case of an International Trade Policy Implementation. Sustainability 2018, 10, 232. https://doi.org/10.3390/su10010232
Kang I, Jee HS, Shin MM. Affective Policy Performance Evaluation Model: A Case of an International Trade Policy Implementation. Sustainability. 2018; 10(1):232. https://doi.org/10.3390/su10010232
Chicago/Turabian StyleKang, Inwon, Hae Seok Jee, and Matthew Minsuk Shin. 2018. "Affective Policy Performance Evaluation Model: A Case of an International Trade Policy Implementation" Sustainability 10, no. 1: 232. https://doi.org/10.3390/su10010232
APA StyleKang, I., Jee, H. S., & Shin, M. M. (2018). Affective Policy Performance Evaluation Model: A Case of an International Trade Policy Implementation. Sustainability, 10(1), 232. https://doi.org/10.3390/su10010232