Multiple Levels of Corporate Sustainability

According to Dr. Clare Graves, mankind has developed eight core value systems,1 as responses to prevailing circumstances. Given different contexts and value systems, a one-solution-fits-all concept of corporate sustainability is not reasonable. Therefore, this paper presents various definitions and forms of sustainability, each linked to specific (societal) circumstances and related value systems. A sustainability matrix– an essential element of the overall European Corporate Sustainability Framework – is described showing six types of organizations at different developmental stages, with different forms of corporate sustainability, each supported by specific institutional arrangements.     

Determining farm effects attributable to the introduction and use of a dairy management information system in The Netherlands

Yearly production and reproduction data on dairy farms in The Netherlands were obtained to determine whether management information systems significantly improved herd performance variables (management information systems (MIS) effects). The analysis included 357 adopters of a management information system and 357 herds were used as controls. The data comprised years 1987 through 1996, and included for the adopters both the ‘before’ and ‘after’ period. Panel data analysis enabled to estimate MIS effects both within and between farms, allowing for a separation of farm‐specific effects and common (trend) effects. Adoption and use of a management information system resulted in a significant annual increase in rolling herd average milk (carrier) and protein production of 62 and 2.36 kg per cow, respectively. Calving interval was shortened by 5 days. The pay‐back period was approximately 5 years of the system (including the hardware), and therefore, MIS appears to be economically profitable.     

Explaining Firm Employment Growth: Does Location Matter?

This paper addresses the question to what extent the location of a firm can be regarded as having an influence on the performance of a firm as measured by employment growth. While in theory it is widely acknowledged that `location' should be considered as a relevant growth determinant, empirical research has so far mainly focused on firm-internal factors. The question raised in this paper is empirically verified by means of an econometric model based on a data set of circa 35,000 establishments located in the northern part of the Netherlands during the period 1994–1999. The model includes several measurements of location characteristics like the population level and growth, employment growth, spatial specialisation and cluster indicators, type of enterprise zone, and accessibility while controlling for firm-associated factors such as size, age, and business activity. Based on the fact that we find several significant coefficients we conclude that `location matters' but that the effect differs by type of economic activity.     

EFFECTS OF THE FARMER SUPPORT PROGRAMME AND CHANGES IN MARKETING POLICIES ON MAIZE PRODUCTION IN SOUTH AFRICA

This article analyses the effects of action aimed at narrowing the gap between South Africa's ‘two agricultures’, specifically the effects of the Farmer Support Programme (FSP) on structural aspects of maize production under different marketing policies. This is done by assembling a sectoral linear programming model of the South African summer-rainfall grain-producing area. The emphasis is on the inclusion of supply, demand and production risk. Results show that the effects of a successful FSP on specific interest groups, e.g. consumers of a specific product, or producers in a specific region, depend on the marketing policy followed, as well as on the effectiveness of the FSP. The analysis accentuates the interrelationships in South African crop production and illustrates how past policies ignored regional comparative advantages, distorted regional development and affected social welfare.     

Policy Determinants of School Outcomes under Model Uncertainty: Evidence from South Africa

In this paper, we assess the determinants of secondary school outcomes in South Africa. We use Bayesian model averaging techniques to account for uncertainty in the set of underlying factors that are chosen among a very large pool of explanatory variables in order to identify the subset of explanatory variables most strongly associated with the dependent variable. Our analysis indicates that the socio‐economic background of pupils, demographic characteristics such as population groups (Black and White), as well as geographical locations account for a significant variation in pupils’ achievement levels. We also find that the most robust policy determinants of pupils’ test scores are the availability of a library at school, the use of IT in the classroom as well as school climate.     

Heterogeneous country responses to the Great Recession: the role of supply chains

Review of World Economics - The one time shock of the Great Recession in 2008/9 opens up the opportunity to study the sensitivity of countries to global economic shocks. Some countries are more...     

GDP in the Dutch Cape Colony: The National Accounts of a Slave‐Based Society

New estimates of the gross domestic product of the Dutch Cape Colony (1652‐1795) suggest that the Cape was one of the most prosperous regions during the eighteenth century. This stands in sharp contrast to the perceived view that the Cape was an “economic and social backwater,” a slave economy with slow growth and little progress. Following a national accounts framework, we find that Cape settlers' per capita income is similar to the most prosperous countries of the time – Holland and England. We trace the roots of this result, showing that it is partly explained by a highly skewed population structure and very low dependency ratio of slavery, and attempt to link the eighteenth‐century Cape Colony experience to twentieth‐century South African income levels.     

Economy-wide implications of biofuel production in Zambia

ABSTRACT

Potential biofuel demand in South Africa is estimated to increase to 1550 million litres by 2025 due to mandatory blending rates. Land and water constraints, however, limit the ability for domestic production. Zambia, due to its abundance in land, suitable climate, supportive set of bioenergy incentives and close geographical location to South Africa, has the potential to meet this increase in demand. Using a dynamic recursive computable general equilibrium model, we estimate the macro- and socio-economic impacts of bioethanol production in Zambia from three potential crops: sugarcane, cassava and sweet sorghum. The results show that the development of a single product bioethanol industry has the potential to increase economic growth without negatively affecting overall food security. Further expansion of the industry to multiple products results in larger gains to growth and welfare.