The dynamic (partial-adjustment GMM) model's short-run (Table 3) and long-run (Table 4) elasticities for the aggregate and each of the three regions are the paper's stated main contribution and generate the abstract's headline SR-vs-LR finding; the static Table 2 results are presented as the comparison benchmark ("The dynamic model... is used to compare with the static model"), and Bond (2002) is invoked to argue the static-only estimation is inadequate. || "The major contribution of this study is in applying the dynamic panel data models in Malaysia and its regions. As noted by Bond (2002), estimating the dynamic version of a static model is necessary because ignoring the estimation of the basic dynamic model leads to poor estimation results and significant information might be lost." (p. 47, printed; abstract, p. 46: "Consumers' responsiveness to changes in electricity prices in the short-run is low, while they have a high response to the long-run changes in the entire Malaysian economy and its regions.")
Solaymani, S., Najafi, S. M. B., Kari, F., & Mohd Satar, N. B. (2015): 'Aggregate and regional demand for electricity in Malaysia.' Journal of Energy in Southern Africa, 26(1), 46-54.