This study developed an evaluation system of adaptation countermeasures for climate change in the water resources sector using the Analytic Hierarchy Process (AHP), and the assessment procedures were applied to the Second Chungcheongnam-do Climate Change Adaptation Implementation Plan (Chungnam Implementation Plan). Firstly, the evaluation criteria are composed of two levels according to the hierarchical structure, and AHP gives priority to 4 evaluation criteria of the first level and 16 alternative indicators of the second level. Secondly, after the importance of the evaluation criteria or indicators has been determined, the significance of each measure was evaluated by applying it to the water-sector measures of the Chungnam Implementation Plan, and the effectiveness of the evaluation system was validated. The Chungnam case study shows that the evaluation system will be more effective and efficient when it is applied during development phase rather than after the implementation plan is finalized. It is also expected that the evaluation system will be used to evaluate and prioritize climate change adaptation policies in other regions, and then to compare the means of adaptation to climate change in various regions and to select recommendation policies.

The implementation of PPK-BLU in Indonesia was not followed by a comprehensive change in aspects of organization, human resources, and finance. Based on this background, this study aims to provide a comprehensive evaluation of the BTIP after the implementation of the PPK-BLU policy in the implementation of telecommunications services and information to the public in Indonesia. This research used integration of the McKinsey 7S method, Analytical Hierarchy Process, and Likert scale. The integration of these methods can provide a detailed quantitative analysis. Based on the overall evaluation results of carrying out the PPK BLU, BTIP has a performance value of 81.195%, which puts it within the Good category. The McKinsey 7S elements used as a whole have the following values: one aspect is categorized as Very Good, namely, the strategy aspect with a value of 91.025%; two aspects are categorized as Good (structural aspects with a value of 86.857%, and skill aspects with a value of 81.432%); three aspects are categorized as Adequate (style aspect with a value of 76.441%, staff aspect with a value of 78.605%, and share value aspect with a value of 76.331%); one aspect is categorized as Bad, that is the system aspect with a value of 67.503%.

The research objective examines the effect of corporate governance on capital structure and its effect on liquidity policy and corporate performance. It tests the effect of capital structure and liquidity policy on corporate governance. It also examines the effect of liquidity policy on capital structure and the effect of capital structure on liquidity policy. The study population is all manufacturing companies that went public on the Indonesia Stock Exchange in the period 2010-2019. The research population is 182 manufacturing companies. The Judgment Sampling was used and 109 companies meet the research criteria. The study used panel data for ten years so that the amount of data observed was 1090 observations. The analysis tool uses Warp Partial Least Square (WarpPLS). The results showed that corporate governance had a significant positive effect on capital structure, but corporate governance had a significant adverse effect on liquidity policy, and corporate governance had a significant positive effect on corporate performance. Furthermore, capital structure has a significant negative effect on corporate performance, but liquidity policy has no significant effect on corporate performance. Capital structure and liquidity policy are proven to be reciprocally significant positive correlations for manufacturing companies in Indonesia.

While the significance and need of landscape assessment for rural area has been recognised, an appropriate method has not been established due to the lack of statutory ground and policy status in Korea. For that reason, current studies have been limited to dominantly amenity field survey in specific rural areas and stayed in academic. In particular, the majority of research on rural landscape amenity or character assessment methodologies so far has been attempted with quantitative processes. Such quantitative methods produced sometimes, heavily overlapped, conflicted, and not much meaningful characterisation and classification. Moreover, such results could not only have been reflected to policy implementation but provide vision for rural areas. Therefore, this study offers new facets for landscape character assessment methods through the lens of practitioners’ qualitative survey methods and moreover, seek a policy implementation of newly developed methodologies. In order to carry out such analysis, the study employed a case study of England’s Landscape Character Assessment and survey location was Gateshead Council, Northeast of England. The study suggests meaningful qualitative landscape character assessment method and review of its policy implementation.