Submitted:
12 February 2025
Posted:
13 February 2025
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Abstract
Keywords:
1. Introduction
2. Literature Reviews and Conceptual Frame
2.1. Literature Reviews
2.2. Conceptual Framework

3. Research Methodology
3.1. Research Design
3.2. Data Collection
3.3. Data Analysis
3.4. Econometric Model and Estimation Strategies
4. Findings and Discussions
4.1. Discussion of Econometric Results
4.2. Qualitative Analysis and Discussion
4.2.1. Thematic Analysis
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4.2.2. SWOT Analysis
5. Conclusion and Policy Recommendations
5.1. Conclussion
5.2. Policy Recommendations
Ethical Considerations and Limitations
Author Contributions
Funding
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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| Variable name | Variable Label |
|---|---|
| inst_1 | Access to Financial support |
| inst_2 | Cost of technology |
| inst_3 | Access to skilled labor |
| inst_4 | Infrastructure accessibility |
| inst_5 | supportive government policies |
| inst_6 | Degree of acceptance to new technologies |
| net_3 | Public-private partnerships for innovation |
| net_1 | actions or strategies in place to accelerate the diffusion of innovation in IAIPs |
| net_2 | Strategies to enhance collaboration and coordination across IAIP stakeholders |
| glbc_2 | Degree of competition in global market |
| glbc_3 | Percentage exported to international markets |
| innv_2 | involvement in process innovation |
| innv_3 | involvement in technological innovation |
| innv_4 | involvement in organization innovation |
| innv_13 | Access to R&D facilities or expertise |
| innv_14 | Partnerships with other organizations) |
| innv_15 | innovation diffusion strategy in place |
| innv_16 | Policy advocacy |
| innv_17 | Frequency of seeking agricultural information |
| hhs | Household size |
| lage | Logarithm of Age of respondent |
| AVE | CR | Cr-alpha | |
|---|---|---|---|
| Global Comp | 0.603 (0.058) *** |
0.731*** (0.085) |
0.494*** (0.081) |
| Stake Coop | 0.540*** (0.037) |
0.777*** (0.028) |
0.580*** (0.062) |
| hhs | 1.000 (0.000) |
1.000 (0.000) |
1.000 (0.000) |
| innov_Ecosystem | 0.430*** (0.032) |
0.857*** (0.017) |
0.811*** (0.025) |
| instit_framework | 0.428*** (0.035) |
0.815*** (0.023) |
0.729*** (0.039) |
| lnage | 1.000 (0.000) |
1.000 (0.000) |
1.000 (0.000) |
| Threshold | 0.500 | 0.700 | 0.700 |
| Coefficient | Standard deviation | T statistics | P values | |
| glbc_2 <- Global_Comp | 0.985 | 0.033 | 30.185 | 0.000*** |
| glbc_3 <- Global_Comp | 0.484 | 0.186 | 2.601 | 0.009*** |
| innv_13 <- innov_Ecosystem | 0.771 | 0.040 | 19.239 | 0.000*** |
| innv_14 <- innov_Ecosystem | 0.651 | 0.055 | 11.759 | 0.000*** |
| innv_15 <- innov_Ecosystem | 0.583 | 0.067 | 8.669 | 0.000*** |
| innv_16 <- innov_Ecosystem | 0.744 | 0.051 | 14.502 | 0.000*** |
| innv_17 <- innov_Ecosystem | 0.691 | 0.055 | 12.512 | 0.000*** |
| innv_2 <- innov_Ecosystem | 0.580 | 0.071 | 8.190 | 0.000*** |
| innv_3 <- innov_Ecosystem | 0.605 | 0.072 | 8.439 | 0.000*** |
| innv_4 <- innov_Ecosystem | 0.594 | 0.081 | 7.296 | 0.000*** |
| inst_1 <- instit_framework | 0.501 | 0.074 | 6.760 | 0.000*** |
| inst_2 <- instit_framework | 0.601 | 0.068 | 8.866 | 0.000*** |
| inst_3 <- instit_framework | 0.681 | 0.064 | 10.718 | 0.000*** |
| inst_4 <- instit_framework | 0.737 | 0.056 | 13.242 | 0.000*** |
| inst_5 <- instit_framework | 0.722 | 0.061 | 11.814 | 0.000*** |
| inst_6 <- instit_framework | 0.651 | 0.069 | 9.426 | 0.000*** |
| net_1 <- Stake_Coop | 0.780 | 0.045 | 17.172 | 0.000*** |
| net_2 <- Stake_Coop | 0.781 | 0.044 | 17.722 | 0.000*** |
| net_3 <- Stake_Coop | 0.635 | 0.085 | 7.439 | 0.000*** |
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| Themes | Strength | Weakness | Opportunity | Threat |
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Huge Infrastructure in the Park |
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Application of climate-smart varieties |
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Quality, food security, and traceability issue (not fully addressed in the park) |
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Seasonality of agricultural supplies |
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Limited agricultural supply (local farmers’ limited capacity to produce excess output) |
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Low willingness of foreign firms to join the park |
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Ongoing peace and security concerns from investors |
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