Agrotourism and fast urbanisation: The double pressure of development on peri‐urban agriculture in Hôi An, a small city of central Vietnam
Bibliographic record
Abstract
Agrotourism in Vietnam has been identified as one of the strategies used to achieve green growth and countryside modernisation, and it is often included as part of the national and local agenda. In this paper, we examine agrotourism in a village in the periphery of Hội An city (an international tourism hub in central Vietnam) to question tourism's interaction with ongoing development processes. More specifically, we aim to understand the impact of fast peri‐urbanisation on agrotourism and the impacts of agrotourism on people's daily lives, specifically when it comes to physical changes in their living environment, tensions in their social life and their concerns about the future. Our analysis is supported with data generated from interviews with farmers, local officials, tourism workers and tourists. We find that agrotourism products lacked authenticity and farming was not of great interest for tourists, yet the state's investment in the village tended to favour spaces and infrastructure that could attract more tourists and generate profit, to the detriment of cultural infrastructure. Land speculation and an unequal distribution of income were the main tensions in the village along with farmers' concerns about their rural heritage, income diversification and environmental quality. As such, agrotourism in the village has been driven by rapid urbanisation and mass tourism, creating a competition between a consumption activity and a productive activity. Those are important parameters that future policymakers need to take into consideration in order to sustain the city's food production and tourism.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".