ISSN 2776-110X
Technology Development.
Net Exports and National Productivity Sujarwo Adi.
Ema Sulisnaningrum (STIE Jaya Negara Tamansiswa Malan.
Abstract This study aims to understand the development of technology, net exports and national This study uses secondary data from world banks and processed regression using the moving average autoregression method.
We find that technology is positively related to gross domestic product and net exports is negatively related to gross domestic product which is an indicator of national productivity.
Based on the estimation, technology development or technology investment in Indonesia tends to be import-based so that it suppresses net exports and results in a decrease in net exports in line with technology development, even though technology investment in the form of high technology development encourages economic Keywords: Technology.
Indonesia.
Consumption JEL Classification: C0.
J24.
J64 Background Indonesia with a very large population certainly needs something to meet its needs, for example the need for food and shelter (Madduppa et al,2.
To meet the needs of all the people and distribute them is a strong reason to develop technology in order to increase production.
Products produced do not have to be sold domestically.
Production results can be sold in the international market so that you get cash inflow which can be used to increase domestic production (Bingemer et al,2.
This study aims to understand the development of technology, net exports and national productivity.
We use the Solow hypothesis that technology can drive production by increasing the performance of human resources so that they can produce more, better and faster.
Literature review Production is one of the economic activities in improving people's welfare and increasing national One of the efforts to increase production is technology.
Technology plays a role in helping humans to work and carry out activities, including production.
With technology, production can be faster with better production results (Vinardell et al,2.
ISSN 2776-110X
National productivity can be indicated by gross domestic product.
Productivity can be defined as the level of national production performance where this is the gross domestic product.
Because gross domestic product is the total economic value of all goods and services produced nationally.
Based on this, the gross domestic product can be used as an indicator of national productivity (Ockert,2.
Production results in addition to meeting domestic needs can also be used to meet foreign needs so that exports and imports occur.
Net exports represent the difference between exports and imports (Tiryaki,2.
Research methods This research studies Technology Development.
Net Exports and National Productivity.
This study uses secondary data from world banks and processed regression using the moving average autoregression method with the following equation:
GDPt = Ct 1TIt1 2Nxt2 et Where.
GDP = Gross Domestic Product C = Constant IT = Technology Nx = Net Exports e = Error Term All financial data is calculated in USD.
Results and Discussion The estimation results are as follows:
GDP = 452906478444 - 5.
75019067247 * NX 288.
390353667 * TI
From the estimation results, technology (IT) is positively related to gross domestic product (GDP) and net exports (N.
is negatively related to gross domestic product (GDP) which is an indicator of national productivity.
Based on the estimation, technology development or technology investment in Indonesia tends to be import-based so that it suppresses net exports and results in a decrease in net exports in line with technology development, even though technology investment in the form of high technology development encourages economic growth.
Table 1 illustrates the estimation results as Table 1.
Estimation Results Variable R-squared Coefficient Std.
Error t-Statistic Prob.
53E 11
64E 10
Mean dependent var 6.
24E 11
ISSN 2776-110X
Adjusted R-squared of regression Sum squared resid Log likelihood F-statistic Prob(F-statisti.
00E 11
80E 23
dependent var Akaike info criterion Schwarz criterion Hannan-Quinn criter.
Durbin-Watson stat
39E 11
Based on the estimation results described in Table 1.
, it can be seen that the R-square is quite low, 689322 so that the quantitative calculation results show the level of truth is only 68%.
Figure Shows the forecasting of economic growth in Indonesia.
Figure 1.
Forecasting Economic Growth in Indonesia
0E 12
Forecast: GDPF
Actual: GDP
6E 12
Forecast sample: 2000 2019
Included observations: 20
2E 12
Root Mean Squared Error
0E 11
84E 11
Mean Absolute Error
64E 11
Mean Abs.
Percent Error Theil Inequality Coefficient 0.
0E 11
0E 00
0E 11
GDPF
Bias Proportion Variance Proportion Covariance Proportion Theil U2 Coefficient Symmetric MAPE A 2 S.
Source: Author Computing From the forecasting results, it can be seen that economic growth in Indonesia is experiencing growth but not too fast by taking into account technology development and net exports in the process of building forecasting economic growth.
Technology development or technology investment in Indonesia tends to be import-based so that it suppresses net exports and results in a decrease in net exports along with technology development, although technology investment in the form of high technology development encourages economic growth, but economic development from imported technology or imports of domestic technology development needs does not encourage rapid economic growth as shown in the forecast in Figure 1.
Conclusion Technology development or technology investment in Indonesia tends to be import-based so that it suppresses net exports and results in a decrease in net exports along with technology development, even though technology investment in the form of high technology development encourages economic However, economic development from imported technology or imports of domestic technology development needs.
does not promote rapid economic growth with a success rate of only around 68%.
Reference: