英文摘要 |
In the post-Sustainable Development Goal (post-SDG) era, we see how scholars started to join with practitioners to expand their attention to indicators that were not emphasized previously and to give priority to how to localize SDGs towards more practical and policy relevant approach. However, given the newness of this sustainable development trend since 2015, there are more to be explored, issues unsettled, terms undefined and blackbox unraveled theoretically, empirically and practically. This immense knowledge gap in localizing sustainable development led to the endeavor of this research. By conducting a city-based sustainable development evaluation pilot study in Kaohsiung city, Taiwan as a demonstrative case, the study sought to understand 1) how the chosen city was evaluated in the existing sustainability indicator monitoring; and 2) how scientific community supported the knowledge provisioning in terms of the 17 SDG dimensions and what is the science-policy knowledge gap in between.
Methodologically speaking, this research first launched a comparative effort to analyze the policy setting of sustainable development committee and sustainable development indicators designed by all six metropolises in Taiwan. Next the study proposed to conduct a SDGs-oriented computerized literature mapping, rather than a qualitative reading of systematic literature review, to produce a cursory literature landscape. Cross-checking these two sets of data, the knowledge gap between policy and science can be initially identified for Kaohsiung city where extent research on SDG 12 for responsible consumption and production, SDG 10 for reduced inequalities and SDG 17 for partnership was relatively scarce. Beyond that, this study also pointed out several missing linkages between the focus of Kaohsiung City government sustainable working groups in practice and the collective knowledge produced by the existing literature before recommending future transdisciplinary and interdisciplinary cooperation to bridge these science-policy linkage gaps. |