Access the full text.
Sign up today, get DeepDyve free for 14 days.
J. Antle (1983)
Infrastructure and Aggregate Agricultural Productivity: International EvidenceEconomic Development and Cultural Change, 31
L. Thompson (1969)
Weather and Technology in the Production of Corn in the U. S. Corn Belt1Agronomy Journal, 61
C. Moss, J. Shonkwiler (1993)
Estimating Yield Distributions with a Stochastic Trend and Nonnormal ErrorsAmerican Journal of Agricultural Economics, 75
H. Binswanger, P. Pingali (1989)
Technological priorities for farming in Sub‐Saharan AfricaJournal of International Development, 1
Pierre Perron (1989)
The Great Crash, The Oil Price Shock And The Unit Root HypothesisEconometrica, 57
(1969)
` Removing obstacles to the use of genetic breakthroughs in palm oil production : the Nigerian case , ' in
Howard Leathers, M. Smale (1991)
A Bayesian approach to explaining sequential adoption of components of a technological packageAmerican Journal of Agricultural Economics, 73
P. Fackler (1989)
Modeling Trend and Higher Moment Properties of U.S. Corn Yields
Z. Griliches (1957)
HYBRID CORN: AN EXPLORATION IN THE ECONOMIC OF TECHNOLOGICAL CHANGEEconometrica, 25
J. Stock, M. Watson (1988)
Variable Trends in Economic Time SeriesJournal of Economic Perspectives, 2
A. Banerjee, R. Lumsdaine, J. Stock (1990)
Recursive and Sequential Tests of the Unit Root and Trend Break Hypothesis: Theory and International EvidenceNBER Working Paper Series
P. Gallagher (1986)
U.S. corn yield capacity and probability: estimation and forecasting with nonsymmetric disturbances, 8
(1969)
`Removing obstacles to the use of genetic breakthroughs in palm oil production: the Nigerian case,' in Dow, M.G. (ed.), Agricultural Research Priorities for Economic Development in Africa
Pierre Perron, T. Vogelsang (1992)
Nonstationarity and Level Shifts With an Application to Purchasing Power ParityJournal of Business & Economic Statistics, 10
M. Knudson (1991)
Incorporating Technological Change in Diffusion ModelsAmerican Journal of Agricultural Economics, 73
A. Harvey (1985)
Trends and Cycles in Macroeconomic Time SeriesJournal of Business & Economic Statistics, 3
K. Menz, P. Pardey (1983)
Technology and U.S. Corn Yields: Plateaus and Price ResponsivenessAmerican Journal of Agricultural Economics, 65
M. Kaylen, S. Koroma (1991)
Trend, Weather Variables, and the Distribution of U.S. Corn YieldsApplied Economic Perspectives and Policy, 13
(1988)
Public Policy, Technology, and the Structure of US Agriculture: Some Econometric Evidence, Yale University, Economic Growth
Marco Lippi, L. Reichlin (1993)
Diffusion of Technical Change and the Decomposition of Output into Trend and CycleResearch Papers in Economics
D. Kwiatkowski, P. Phillips, P. Schmidt, Y. Shin (1992)
Testing the null hypothesis of stationarity against the alternative of a unit root: How sure are we that economic time series have a unit root?Journal of Econometrics, 54
An alternative specification for the trend component of crop yield growth is developed and applied to maize yield data for Zimbabwe’s large‐scale farming sector. This accounts for permanent regime shifts as new technologies are discovered but allows gradual absorption as adoption follows a diffusion path. Econometric methods are used to estimate the timing and importance of innovations, as well as the length of the diffusion path. Results from an application to Zimbabwe commercial maize yields indicate two major regime shifts that can be associated with the introduction of hybrid seed varieties, and a diffusion path that extends over a decade.
The Australian Journal of Agricultural Resource Economics – Wiley
Published: Sep 1, 1997
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.