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Transaction costs, related to either investigating improved land management practices (ILMP), engaging in adoption support programs for these practices and/or implementing changes on-ground, create barriers to ILMP adoption. Perceived and actual transaction costs have long been hypothesised as a potential barrier to grazier adoption of ILMPs in catchments to the Great Barrier Reef. Applying a framework derived from transaction cost theory, we assess this hypothesis. Through semi-structured interviews of a sample of participants in two ILMP programs, we find that ILMP adoption support program characteristics have a large influence on perceived and actual transaction costs of landholders seeking to engage in ILMP programs or adopt ILMPs. The importance of establishing and nurturing relationships between landholders and extension officers was also highlighted as critical to reducing landholder transaction costs. The degree to which relationships reduce transaction costs demonstrates the importance of fostering landholder leadership in ILMP program design as well as targeted extension in supporting adoption. [ABSTRACT FROM AUTHOR]

Policy instruments—such as regulation, financial incentives, and agricultural extension—are commonly applied by governments to promote sustainable agricultural practices and tackle ecosystem degradation. Despite substantial investment, little data are available to gauge the impact of evolving policy mixes. We constructed a Bayesian network model to explore relationships between policy instruments, contextual factors, and adoption. Applying a series of scenarios, we present examples of how different instruments influence adoption and how their effectiveness is shaped by contextual factors. Scenarios highlight that the effect of policy instruments is often modest, and constrained by diverse practice and population characteristics. These findings allow us to reflect on the role of policy instruments, and the conditions necessary to support practice change. For example, our findings raise questions about the role of financial benefits versus financial capacity, and highlight the potential importance of concepts such as mental bandwidth in shaping both motivation and capacity to adopt. [ABSTRACT FROM AUTHOR]

It is now widely acknowledged that climate change will have a considerable impact on various aspects of human existence, and this includes happiness and satisfaction with life. This study adds to the existing literature on the contribution of climate to well-being by exploring the interaction of various climate variables at the national and local levels while controlling for socioeconomic factors. Using climate data covering a 20-yr period and demographic data from the Household Income Labor Dynamics in Australia surveys, several ordinary least squares (OLS) models of interaction are developed to test the proposition that climate does influence life satisfaction. Geographically weighted regression is then applied to explore how the relationship between explanatory variables and life satisfaction varies across different regions of Australia. We find that overall rainfall, temperature, and sunshine have a small but significant effect on individual life satisfaction. The spatial analysis reveals a high level of nonstationarity in the way climate variables impact life satisfaction, suggesting that regional climate type may be an important element influencing the relationship. The understanding of this relationship may assist policy makers who develop resilience and adaptation strategies as we face the impacts of climate change. Significance Statement: To the best of our knowledge, this study is the first investigation of contributions of a wide range of climate factors to individual life satisfaction across a continent-size country that provides a novel spatial analysis of the variations in climate factor impact. The study shows that in regions with climatic conditions of high temperatures and prolonged dry periods, additional heat will adversely affect individual well-being. In view of the anticipated effects of climate change, this finding does not bode well for residents of areas that already have a hot and dry climate, as increasing temperatures and potentially longer droughts are likely to compromise their well-being. This study can inform policy making that considers adaptive climate change strategies for community well-being. [ABSTRACT FROM AUTHOR]

In 2015, all 193 member states of the United Nations (UN) adopted the Sustainable Development Goals (SDGs). These 17 goals, 169 targets, and 232 indicators (including over 650 indicators if all the subdivisions are included) are intended to guide and improve sustainable wellbeing and life satisfaction for everyone on earth. Challenges include the fact that many indicators are not measured or reliably tracked in many countries, the cost of tracking is unclear, and no explicit overarching goal exists. To highlight some of the problems with this approach, we model life satisfaction (LS) survey scores by country, as a proxy for overall wellbeing, as the dependent variable against the official 232 SDG indicators. Using a constrained linear regression approach (LASSO), we identify a model that includes only 8 of the 232 indicators and explains 84% of the variation in LS. These eight indicators are proxies for economic, social, and environmental variables. We also cluster countries according to these indicators and LS showing correlation within geographical and cultural regions. We discuss these results with regard to the meaning and measurement of sustainable development vs. sustainable wellbeing and its relationship with LS and the SDGs. We recommend how these results can be used to prioritize goals and measurement efforts to create more meaningful and useful measures of sustainable wellbeing. [ABSTRACT FROM AUTHOR]