Food security is a major concern in many countries, including Indonesia. Land productivity has decreased due to shrinking agricultural land, global warming, and land degradation. Precision agriculture (PA) empowers people to use agricultural technology to increase productivity. Therefore, this study aims to examine PA from adopting agricultural machinery. The method used in time series analysis is pooled least squares (PLS). The results show that the transition from conventional methods to using mechanized tools, especially tractors, significantly (at a sig level of 1%) affects rice production in Indonesian rice centers. These results form the basis that Indonesian rice farmers are enthusiastic about various technologies, so the opportunities for PA are significant. However, the gap between PA research in Indonesia and developed countries needs attention, and research collaboration can be a solution. From a practical standpoint, PA integrated with the internet is challenging for Indonesian farmers. Therefore, empowering farmers through various synergy mechanisms is proposed in this study.

The issue of climate change is highly related to carbon emissions. One of the practical efforts to reduce carbon emissions is through carbon trading and offset mechanisms. Implementing carbon trading demands massive funding allocation, which requires sustainable financial policy arrangements from the government and the private sector as an instrument to support nationally determined contributions under the Paris Agreement. However, only a few review articles look into the specific combination of green finance (also known as sustainable financing) and the carbon trading mechanism. In this study, we aim to review research on green finance and its association to the emission reduction and carbon trading. We utilized the VOSviewer framework to perform a bibliometric analysis on the Scopus database, and performed search, identification, and screening processes using selected relevant keywords. We obtained 506 articles from 2014 to 2022 related to sustainable finance and carbon trading aspects. Using rigorous bibliometric approaches, we identified both established and recent research clusters for topological analysis, identification of major research subjects, interdependencies, and trends in collaborative effort. The results indicate that there is ample room for additional research to link carbon trading with green finance initiatives or financing, which can improve the success of carbon trading activities.

Climate-related disasters increasingly threaten over one-third of the global population, specifical communities within 100 km of coastal zones. Indonesia, the world’s largest archipelago with the second-longest coastline, faces tidal (Rob) flooding from high tides, land subsidence, and sea-level rise. This study assess fish farmers’ vulnerability to Rob flooding in Java’s Indramayu District. Our Social Vulnerability Index (SoVI)’s development involved 150 questionnaires, focus group discussion, and key-informant interviews between 16 and 20 October 2019. It found a high vulnerability, a SoVI score of + 1.76 comprising nine principal components (PCs): external support and government mitigation, local knowledge, income, expenditure, family size, seasonal-expenditure, education, experience, and ethnicity. Contributing to ‘vulnerability’ and ‘resilience’ concepts, it highlights community memory of repeated disasters and its impact on local adaptive capacity. Findings inform policymakers to address the PCs influencing vulnerability, including critically-needed livelihood support and early-warning systems relevant to the country’s 12,000 + coastal-villages and developing countries where over 90% of fishermen live.

Tourism is one of a region’s most prominent development vehicles. However, quality tourism is only achieved when supported by multi-sectors. This study aims to create a model of sustainable tourism management using a system dynamics approach. The model is based on the tourism development case in Labuan Bajo, a newly growing destination in Indonesia and a UNESCO Komodo biosphere reserve area. The research results in a model of sustainable tourism relevant to similar destinations with characteristics of high biodiversity but vulnerable to social inequality. This research finds it is critical to balance tourism growth and impact through the environment, economy, and social aspects and how destination management shall ensure multi-sector participation to create a conducive tourism ecosystem in the long run.

Rice is a staple food in most Asian countries, and food security is often viewed as having a rice supply to avoid a food crisis. The large number of people who have low incomes means there is a risk of household economic conditions being threatened when food prices are not controlled. We present a different approach by measuring rice price volatility at the local market level with climate and macroeconomic variables. The model succeeds in representing the variables that affect rice prices by an average of 75% nationally. The influence of macroeconomic variables and climate dynamics was found to have a non-uniform pattern from one region to another. The factors that dominate the volatility of rice prices in each province were different. To help address these problems, it is suggested to model and integrate climate data and macroeconomic variables. The output can be used to determine national policies for controllable factors and anticipate climate dynamics to reduce the risk that communities will have difficulty accessing food.