Mapping issues and envisaging futures: An evolutionary scenario approach

In parallel with the increasing complexity and uncertainty of social, technological, economic, environmental, political and value systems (STEEPV), there is a need for a systemic approach in Foresight. Recognizing this need, the paper begins with the introduction of the Systemic Foresight Methodology (SFM) is introduced briefly as a conceptual framework to understand and appreciate the complexity of systems and interdependencies and interrelationships between their elements. Conducting Foresight systemically involves a set of ‘systemic’ thought experiments, which is about how systems (e.g. human and social systems, industrial/sectoral systems, and innovation systems) are understood, modelled and intervened for a successful change programme. A methodological approach is proposed with the use of network analysis to show an application of systemic thinking in Foresight through the visualisation of interrelationships and interdependencies between trends, issues and actors, and their interpretation to explain the evolution of systems. Network analysis is a powerful approach as it is able to analyse both the whole system of relations and parts of the system at the same time and hence it reveals the otherwise hidden structural properties of the systems. Our earlier work has attempted to incorporate network analysis in Foresight, which helped to reveal structural linkages of trends and identify emerging important trends in the future. Following from this work, in this paper we combine systemic Foresight, network analysis and scenario methods to propose an ‘Evolutionary Scenario Approach,’ which explains the ways in which the future may unfold based on the mapping of the gradual change and the dynamics of aspects or variables that characterise a series of circumstances in a period of time. Thus, not only are evolutionary scenarios capable of giving a snapshot of a particular future, but also explaining the emerging transformation pathways of events and situations from the present into the future as systemic narratives.     

IMPACTS OF FOOD PRICES ON THE ECONOMY: SOCIAL ACCOUNTING MATRIX AND MICROSIMULATION APPROACH IN INDONESIA

This study investigated the impacts of increasing the prices of heavily protected food commodities in Indonesia on producer and consumer prices. It also evaluated the changes in household living expenses and poverty. The Indonesian Food Social Accounting Matrix was developed along with a price multiplier matrix–microsimulation approach that was used to analyze problems. Poor rural households were the most negatively affected by the increments in food prices. This result contrasted with the standard political argument stating that high rice prices will decrease poverty, particularly in rural areas where the poor live or work as farmers. Of all the food commodities observed, the changes in the rice prices had the most substantial impact on both producer and consumers price, as well as the households’ living cost, particularly low‐income households. Therefore, an increase of 25% in rice price will raise urban, rural, and national poverty levels by 0.13%, 0.10%, and 0.11%, respectively.     

Health trend assessment in Indonesia Futures studies at the provincial level

Health trend assessment studies have been carried out in Indonesia at the national and provincial levels, to provide input into long-term national development plans and to build up the capacity for local health planning in anticipation of decentralization. Provincial health trend assessment studies have been done in five provinces by teams from local health and planning authorities and the local school of public health. These provincial teams have all used background documents and standard procedures developed by a national team and have gone through the same methodological training. Out of the experience have come specific ideas about how trend assessment and similar activities can be strengthened. Among the recommendations are the establishment of national research centres for trend analysis, efforts to improve availability and reliability of relevant data, the training of a cadre of health professionals familiar with futures methods, and continued promotion by WHO and other agencies of long-term health planning and health futures.     

Corporate social responsibility and degrees of operating and financial leverage

We examine the relationship between corporate social responsibility (CSR) and firms’ degrees of operating (DOL) and financial leverage (DFL). Combining the enlightened value maximizing and capital structure theories, we hypothesize that CSR as firms’ strategic choice to internalize the cost from implicit contracts between the firms and their non-investing stakeholders affects firms’ operating and financial leverage. We find empirical evidence that CSR and CSR strengths are positively (negatively) related to firms’ DOL (DFL). CSR concerns are positively related firms’ DOL and DFL. We also document that CSR is positively related to firms’ operating cost and we find evidence that CSR acts as a substitute for corporate debt tax shield when firms’ financial leverage is low.     

Structural Changes and Regional Income Inequality in Indonesia: A Bidimensional Decomposition Analysis*

Using the bidimensional decomposition method of a population‐weighted coefficient of variation, this paper analyzes the changes in the determinants of interprovincial income inequality associated with structural changes in Indonesia from 1983 to 2004. The method unifies two inequality decompositions by regional groups and gross regional product components (industrial sectors) and, therefore, enables us to assess the contributions of gross regional product components to within‐region and between‐region inequalities, as well as to overall inequality. As the share of mining has decreased, the spatial distribution of manufacturing has played a more important role in the inequality of Sumatra and Kalimantan, while the primacy of Jakarta, with strong urbanization economies, facilitated by globalization and trade and financial liberalization, has determined much of the Java–Bali region's inequality and, therefore, overall inequality in Indonesia.