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Total Factor Productivity and Sources of Long-Term Growth in ...

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The study period can be divided <strong>in</strong>to pre-reform period (1975-86) <strong>and</strong> reform<br />

period (1987-96). For all study period (1975-96), the mean value <strong>of</strong> total factor<br />

productivity <strong>in</strong>dex is 0.80 <strong>and</strong> significant annual growth rate <strong>in</strong> total factor<br />

productivity is 0.016. The mean value <strong>of</strong> total factor productivity <strong>in</strong>creased from<br />

0.69 <strong>in</strong> the pre-reform era to 0.93 <strong>in</strong> the reform era. While significant annual<br />

growth rates <strong>in</strong> total factor productivity is decreased from 0.007 to –0.0419 <strong>in</strong> the<br />

pre-reform <strong>and</strong> reform era respectively.<br />

Figure 1 presents TFP curve <strong>and</strong> l<strong>in</strong>ear trend. This figure <strong>in</strong>dicates<br />

long-term <strong>in</strong>creas<strong>in</strong>g growth <strong>of</strong> total factor productivity <strong>in</strong>dex <strong>in</strong> the Egyptian<br />

agricultural sector dur<strong>in</strong>g the time period 1975-96. Otherwise the TFP <strong>in</strong>dex was<br />

fluctuat<strong>in</strong>g the whole time <strong>of</strong> the study period.<br />

The comparison between the TFP for the Egyptian economy <strong>and</strong> TFP<br />

for Egyptian agricultural sector has been illustrated <strong>in</strong> figure 2. The TFP for<br />

Egyptian economy was greater than the TFP for the Egyptian agricultural sector<br />

until the year 1990. However, this relationship has been reversed after 1990.<br />

TOTAL FACTOR PRODUCTIVITY DECOMPOSITION<br />

In the productivity decomposition analysis, there are many relevant<br />

variables represent sources <strong>of</strong> growth such as:<br />

(1) Proxy variables for the technological change <strong>and</strong><br />

adoption <strong>of</strong> new technology like public <strong>and</strong> private research,<br />

education <strong>and</strong> agricultural extension.<br />

(2) Variables measur<strong>in</strong>g the price <strong>and</strong> economic policy for<br />

example <strong>in</strong>dexes <strong>of</strong> real wage rate <strong>and</strong> <strong>in</strong>dexes <strong>of</strong> agricultural price<br />

support.<br />

(3) Variables reflect weather <strong>and</strong> location effects.<br />

(4) The time trend variable.<br />

Rely<strong>in</strong>g on decomposition the productivity analysis, estimates <strong>of</strong> productivity<br />

elasticities for the relevant variables can be obta<strong>in</strong>ed. In addition to the statistical<br />

productivity decomposition, there are many methods such as: imputationaccount<strong>in</strong>g<br />

method <strong>and</strong> statistical meta-function methods. 18<br />

In order to identify the determ<strong>in</strong>ants <strong>of</strong> TFP, the TFP <strong>in</strong>dex variable has<br />

been regressed on variables represent<strong>in</strong>g technological change, education <strong>and</strong><br />

agricultural extension, economic reform policies, <strong>and</strong> time trend. These<br />

determ<strong>in</strong>ants represent the sources <strong>of</strong> agricultural economic growth.<br />

Table 5. represents the used variables <strong>in</strong> decomposition <strong>of</strong> total factor<br />

productivity such as : annual agricultural wages , number <strong>of</strong> workers , number<br />

<strong>of</strong> tractors , number <strong>of</strong> harvesters <strong>and</strong> threshers , public fixed <strong>in</strong>vestment ,trend<br />

variable, <strong>and</strong> dummy variable.

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