Finding Australia’s social enterprise sector: final report

Executive Summary Social enterprises are organisations that: Are led by an economic, social, cultural, or environmental mission consistent with a public or community benefit; Trade to fulfil their mission; Derive a substantial portion of their income from trade; and Reinvest the majority of their profit/surplus in the fulfilment of their mission. This document reports on the research findings of the Finding Australia’s Social Enterprise Sector (FASES) project. FASES is a joint initiative of Social Traders and the Australian Centre for Philanthropy and Nonprofit Studies, Queensland University of Technology. It is a first attempt to identify the range and scope of social enterprises in Australia. The methodology utilised in this research included: a review of existing literature and methods of social enterprise mapping; establishment of a project website and preliminary discussion paper to stimulate public engagement with defining and identifying Australian social enterprises, which resulted in four online responses to the discussion paper and 157 nominations of social enterprises to be included in the research; a series of workshops and interviews with 34 key informants to assist in defining social enterprise for the purposes of the research; identification of the social enterprise population through a combination of web and media review, review of existing databases and feedback through the project website; development and administration of an online survey; and collation and analysis of secondary data. Five hundred and thirty-nine organisations commenced the online survey, of which 365 were valid social enterprises according to our definition. Based on pre-existing research data and information from our survey, we estimate that there are up to 20 000 Australian social enterprises. This estimate takes into account that some not for profit organisations have multiple business ventures, and that not all social enterprises are incorporated as not for profits. Our survey results suggest that the Australian social enterprise sector is mature, sustainable and internally diverse with regard to mission and organisational structure. Amongst the 365 survey respondents, 73% had been operational for at least five years, and 62% were at least 10 years old. Australian social enterprises seek to fulfil a diversity of missions and serve a wide variety of beneficiaries. As a whole, the dominant foci of our survey respondents were on creating opportunities for people to participate in their community, and on finding new solutions to social, environmental, cultural and economic problems. Australian social enterprises operate in every industry of our economy. Our survey data suggest that they trade predominantly in local and regional markets and focus on fulfilling their missions at local and regional goals. However, some social enterprises operate in international markets and seek to respond to missions of international scope

Testing Speculative Behavior in Farmland Demand

Substantial increases in farmland demand in sub-urbanization have had profound effects on agriculture and produced a surge in farmland values. With escalating land values, farmland can take on the characteristics of a speculative asset and farmland owners may be more responsive to the investment value of farmland than the productive value. Speculation has been shown to have a significant impact on the agricultural production decisions of farms, and may encourage farmers to curtail capital investments and prematurely idle productive farmland. This paper investigates the effects of farmland value appreciation on agriculture and isolates the speculative component of land use demand, using New Jersey as a case study. A conceptual model of land use and investment behavior is developed and estimated. Two empirical models are used in the analysis; one that accounts for speculation and one that does not. The former is found to be superior. An inverse relationship is estimated between the rate of appreciation and the demand for farmland, suggesting a direct relationship between appreciation and land supplied to development. The relationship, however, is found to be positive at rates of farmland value appreciation in excess of the risk free rate of return. This suggests an identifiable speculative demand component whereby farmland owners retain farmland at high rates of appreciation. Results also support the conjecture that when the rate of appreciation is lower than the risk free rate, the speculative behavior of farmland owners is to keep less land in agriculture.Land Economics/Use,

A Case for Individual Standing in International Law

The Honorable Nick O. Agbo, Former Member, Federal House of Representatives, Federal Republic of Nigeria; S.J.D. Candidate, Golden Gate University School of Law

Massive Star Formation in Luminous Infrared Galaxies: Giant HII Regions and their relation to Super Star Clusters

We have used HST/NICMOS H-band narrow-band Pa-alpha (at rest 1.87micron) images to identify star clusters and HII regions respectively in a sample of 8 luminous infrared galaxies (LIRGs). These observations have revealed the presence of a large population of super star clusters (SSC) and bright HII regions. A significant fraction of the HII regions shows H-alpha luminosities above that of 30 Doradus, the prototypical giant HII region. The excess of extremely luminous HII regions in LIRGs has been confirmed by comparison with normal galaxies observed at similar spatial resolutions. Despite the large numbers of identified star clusters and HII regions in LIRGs, we only find a small fraction of coincidences, between 4% and 30%. Using synthesis models we have reproduced the relative fractions of young HII regions, intermediate and old star clusters observed in Arp299 and the central region NGC3256 using a Salpeter IMF and instantaneous star formation. HII regions with no detected near-infrared cluster counterpart (25-39%) represent the youngest sites of star formation, with ages of up to approximately 5Myr and mostly intermediate mass (~10^5Msun) ionizing clusters. For these two galaxies, and within the present detection threshold we can only detect coincidences (4-10%) between an HII region and a near-infrared star cluster for the most massive star clusters (~10^6Msun) during the first 7Myr of their evolution. The identified near-infrared SSCs with no detectable Pa-alpha emission represent the ``old'' population (53-66% of the detected sources), with ages of between 7 and 20-40Myr. Older clusters possibly created in this or previous episodes of star formation are likely to exist in these systems but cannot be identified with the present detection threshold. (Abridged)Comment: Accepted for publication in AJ (July issue). Figure 2 not included. Go to: http://nicmos2.as.arizona.edu/~aalonso/work/papers/lirghii_v2.ps for a complete version of pape

To choose or not to choose: how to deal with China's growing power and influence

This paper collects 10 items published on the ASPI blog The Strategist by eight authors on one of the most important public policy issues of this decade and beyond: how to deal with China’s growing power and influence. The hope is that this debate will start to identify points of shared thinking and expose the areas where further work is needed to improve the quality of policy outcomes. ASPI will continue to publish on the topic. There is no more important subject for the future of Australia and for a stable Asia–Pacific

N=1* vacua, Fuzzy Spheres and Integrable Systems

We calculate the exact eigenvalues of the adjoint scalar fields in the massive vacua of N=1* SUSY Yang-Mills with gauge group SU(N). This provides a field theory prediction for the distribution of D3 brane charge in the AdS dual. We verify the proposal of Polchinski and Strassler that the D3-brane's lie on a fuzzy sphere in the supergravity limit and determine the corrections to this distribution due to worldsheet and quantum effects. The calculation also provides several new results concerning the equilibrium configurations of the N-body Calogero-Moser Hamiltonian.Comment: 20 page