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Featured researches published by Frank M. Goode.


World Development | 1992

Technology adoption on small farms

Ganesh P. Rauniyar; Frank M. Goode

Abstract The study investigates the interrelationships among technological practices adopted by maize-growing farmers in Swaziland. Seven practices considered in the study were per hectare application of high-yielding variety seed, basal and topdress fertilizer, insecticides, tractor plowing, plant populations, and average planting date. Factor analysis was used to examine the interrelationships among these practices. The results show that three distinct technological packages summarize the above practices. Technology adoption requires simultaneous decisions by farmers regarding the use of practices within a package. The three packages are, however, independent of one another. The study implies that understanding interrelationships among practices is important for successful technology planning in developing countries.


Development Southern Africa | 1998

A cluster analysis of commercialisation of farmers in developing rural areas of South Africa

Moraka T. Makhura; Frank M. Goode; Gerhard K. Coetzee

The purpose of this article is to classify farmers in developing rural areas according to their commercial orientation and to evaluate their distinguishing characteristics. Farmers in these areas use both farm and non-farm activities to commercialise to some degree. The aim of the commercialisation strategy is to generate income for acquiring other basic goods and services. A cluster analysis of 392 households surveyed in 1987 in the former KaNgwane identified seven groups of farming households: very low commercial households, moderately commercial households, high agricultural commercial households, livestock commercial households, non-farm income households, non-farm and agricultural commercial households and highly commercial households. The characteristics of four of these groups were investigated further. The current status of the commercialisation process suggests several policy directions: food security programmes should be aimed at those lacking resources, who may also be threatened by food shortages; emerging farmers with limited resources should be encouraged to diversify their income-generating activities - they should be given support (including access to land, markets, credit and management) to encourage them to prosper; and the progressive farmers require enhanced programmes to sustain their competitiveness.


Agrekon | 1996

COMMERCIALIZATION AS A STRATEGY FOR RECONSTRUCTION IN AGRICULTURE / KOMMERSIALISASIE AS 'N STRATEGIE VIR REKONSTRUKSIE IN DIE LANDBOU

Moraka T. Makhura; Gerhard Coetzee; Frank M. Goode

Farmers commercialize in order to acquire other goods. Commercialization leads to improved production and welfare, accelerates linkages and eases financing conditions. Logit models were estimated to determine socio-economic factors that distinguish more commercially oriented farmers from moderately commercial and less commercial farmers. The more commercial farmers are more likely to have used credit, formal marketing channels, kept farming records, listened to agricultural information. These farmers require more land. The less commercial groups require a comprehensive approach that include credit and market facilities, input and technology transfers, training, price guarantees and crop insurance. The objective should be to achieve overall commercialisation.


Annals of Regional Science | 1989

Rural Industrial Location versus Rural Industrial Growth

Frank M. Goode

This study was designed to test the hypothesis that the location of new plants is associated with a different set of factors than is the location of industrial growth. The conceptual basis for this hypothesis is that most industrial growth occurs by expansion and contraction of existing establishments, and is constrained by investment. New plants are less constrained and may select a different type of community. To test this hypothesis a pair of models was developed for each of nine four digit Standard Industrial Class Manufacturing industries. Each model in a pair contained the same set of independent variables but one model used a dependent variable reflecting growth and the other used a dependent variable reflecting location. The results were that in nine pairs of models only one community characteristic type variable was significant in both the growth and location models. This supports the hypothesis that industrial growth and location are associated with different factors. In general, growth occurs in the larger communities with better services and lower poverty rates. Location is not associated with those community characteristics but is responsive to the availability of intermediate inputs and market access.


American Journal of Agricultural Economics | 1978

Viability of Rural Communities: Discussion

Frank M. Goode

The initial impression is that the three papers in this session are quite dissimilar. That is, one deals with program planning, the second deals with conceptual issues exclusively, and the third paper is oriented much more empirically. However, at least implicitly all three papers point out the need for additional information if effective rural development programs and projects are to be forthcoming. My comments will focus on these information requirements.


Journal of Developing Areas | 1993

A Longitudinal Analysis of Factors Influencing Increased Technology Adoption in Swaziland, 1985-1991

Martin L. Shields; Ganesh P. Rauniyar; Frank M. Goode


Economic Development and Cultural Change | 1996

Managing Green Revolution Technology: An Analysis of a Differential Practice Combination in Swaziland

Ganesh P. Rauniyar; Frank M. Goode


Growth and Change | 1986

The Efficacy of More Refined Demand Variables in Industrial Location Models: Note

Frank M. Goode


American Journal of Agricultural Economics | 1976

Rural Development Research: Conceptualizing and Measuring Key Concepts

J. Dean Jansma; Frank M. Goode


Northeastern Journal of Agricultural and Resource Economics | 1992

Field Trials As An Extension Technique: The Case Of Swaziland

David G. Abler; Ganesh P. Rauniyar; Frank M. Goode

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Ganesh P. Rauniyar

Pennsylvania State University

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David G. Abler

Pennsylvania State University

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J. Dean Jansma

Pennsylvania State University

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Gerhard Coetzee

Development Bank of Southern Africa

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