According to Thomas (2004), Malaysia is heavily depending on foreign trades, the nation's exports account contributes large proportion of GDP, and manufactured goods are one of the main exports of Malaysia. As Malaysia is dependent on generating revenue through exports, many problems would occur if the exporting sector fails. Mainly, it will cause a major unemployment issue that would cause many of its people to suffer economic downfall. This is because manufacturing factories fail to sell and export their products, causing them to face financial problem. Therefore, it would result in the closing down of the factory, thus, the unemployment rate rises.
Plan B: Use Plan B if you have only a few, larger similarities or differences. After your introduction, in the next paragraph discuss one similarity or difference in BOTH works or characters, and then move on in the next paragraph to the second similarity or difference in both, then the third, and so forth, until you're done. If you are doing both similarities and differences, juggle them on scrap paper so that in each part you put the less important first ("X and Y are both alike in their social positions . ."), followed by the more important ("but X is much more aware of the dangers of his position than is Y"). In this format, the comparing or contrasting goes on in EACH of the middle parts.
For nonexperimental data, causal direction can often be inferred if information about time is available. This is because (according to many, though not all, theories) causes must precede their effects temporally. This can be determined by statistical time series models, for instance, or with a statistical test based on the idea of Granger causality , or by direct experimental manipulation. The use of temporal data can permit statistical tests of a pre-existing theory of causal direction. For instance, our degree of confidence in the direction and nature of causality is much greater when supported by cross-correlations , ARIMA models, or cross-spectral analysis using vector time series data than by cross-sectional data .