The paper’s proposition is that Mexican public universities potentiate social oriented activity for gsed purposes while agents in Knowledge and Innovation Networking. But they must comply with the structural restrictions of communicative action. The aim is to present communication principles for Knowledge and Innovation Networking (KIN) that promotes Green Sustainable Economic Development (gsed) in Latin American societies, characterized by heterogeneous cultural traits and varied levels of economic and political development, within countries themselves and between them. Prime gsed issues are the preservation of natural resources considering their use and enjoyment by the coming generations, the right to material progress of developing countries as well as the obligation of developed economies to reduce their energy consumption (raw energy and processed commodities). However, the validity of any gsed model is questionable unless it is coherent in terms of what gsed is considered both locally and globally, thus the relevance of networking for knowledge and innovation (see Hidalgo 2011), integrated with regional, national and international innovation systems. How can Knowledge and Innovation Networking (kin) increase university participation in the promotion of gsed? This is a question that this paper aims to answer and provide some strategies to increase participation and contribution to gsed. Knowledge and innovation networks are environments for participation of key social groups where concurrence protocols ease both lawfulness and transparency regarding market issues (global, regional and local) and sustainable development. On-line kin interactions implementation are insufficient for gsed, but will provide participants (state, business, universities and individuals) favorable environments for coordinated actions that represent added value to each and all participants with a reduced hierarchical control because the overall purpose is redefinition of gsed principles that meaningful taking into consideration each participant’s condition.

ADB는 경제를 활성화하고 빈곤을 감소시키기 위해 3개의 전략을 시행하였다.3개의 전 략은 포괄적인 경제성장 환경적으로 지속 가능한 성장, 지역적 통합이라 채택되었다. ADB 는 교육은 성장이라는 큰 그림에서 제외 될 수 없는 중요한 요인이라는 점을 강조하였다. 또한 ADB는 교육 이외에 (1) 사회기반시설, (2) 환경, (3) 지역적 협력과 통합 (4) 재정적 측면의 핵심영역을 가지고 있다. ADB는 교육이란 지속 가능한 개발과 지역적 통합을 지원하기 위한 의식을 고조 시키고 능력을 개발하는 점에서 매우 중요하며. 각기 다른 분야에서의 협력이 필요하다고 주장한 다. 그리고 협력은 아시아의 급속한 성장에 기인하여 연구 기업을 더 넓은 지역으로 확대 함으로써 국경을 넘어 선 협력과 지역적 통합을 이룰 수 있을 것이라 예측한다. 그리고 ADB는 지역적 통합 수립을 위하여 GMS. C돼EC. SASEC 와 같은 프로그램을 시행하고 있다.

Korean women’s fertility rate is rapidly declining as it goes down from 4.5 in 1970 to 1.3 in 2002. The impacts of the low fertility rate are many, e.g., the decline of Korean population, the lack of industrial man powers, the numerical rise of foreign workers, the growth of older generation, and so on. Soon Korean church will be under direct impacts of the low fertility rate as well. The present paper aims to investigate (1) the growth rate of Korean Christian pop띠 ation based on the scientific national census; (2) the rapid decline of the Korean women’s fertility rate; (3) the influence of the 1997 IMF econornic crisis upon the decline of fertility rate; (4) practical suggestions for the future ministry from missiological analysis which include counseling, silver rninistry, rninistry to corning generation, rninistry to foreign workers, and encouragement for childbe뻐ng for the Christian farnilies. What Korean churches need now is to recognize the importance of the rnissionary proclaim in the Book of Genesis (9: 1): “Be fruitful and multiply, and replenish the earth." Otherwise, Korean church would have a significant difficulty to maintain the present energy and enthusiasm due to the sharp decline of the Christian pop비ation in Korea near soon.

This study is designed to forecast the characteristics in food consumption patterns under per capita GNP growth. Ordinary least square(OLS)method was employed as analyzing technique. Equation was Y=a0+a1X, in which X was per capita GNP and Y were Engel coefficient, food supply, energy supply, nutrient intake and ratio of self-supply of food. The result obtained indicates that the intake of nutrient such as protein and fat will be increased, and wheat, corn and legume are expected to be imported wholly due to lower ratio of self-supply, and rice will be over-supplied continually. Therefore, the relevant policy of government must be established in the field of supply and demand of food, and the research of sound national health should be done.

Since China put forward the Belt and Road Initiative in 2013, China has actively worked with the Initiative to revitalize relevant regional resources and encourage developing countries to participate in global social governance from a global macro strategic perspective. It should be noted that the initiative has promoted connectivity and exchanges among countries by promoting border infrastructure construction. This strategic direction is in line with Indonesia’s “global marine fulcrum” plan. Moreover, the development of infrastructure construction in Indonesia lags behind. These factors have provided more opportunities and development space for The cooperation between China and Indonesia in the field of infrastructure construction, and the economic cooperation is getting closer and deeper. This paper, based on the relevant data collected in Indonesia from 2003 to 2018, verifies the impact of China’s direct investment on Indonesia’s economic growth by using the method of mediation effect verification and explores the impact of specific approaches.The results show that China’s direct investment in Indonesia can promote local infrastructure construction and promote Indonesia’s economic growth. The two countries proposed future cooperation in areas such as electricity, Internet communication and education infrastructure

To investigate the nexus between urban population, gross capital formation, and economic growth in the Kingdom of Saudi Arabia, yearly data was collected from the World Bank for the period 1974- 2018. Basic statistics test and correlation matrix was used to investigate the causal effect among the tested parameters, followed by Augmented Dickey-Fuller (ADF) stationary test, co-integration analysis by Johansen test after that Vector Auto-Correction Model for both short-run and long-run and finally the Granger-Causality tests. Result of unit root test analysis shows that the urban population became stationary at I (0) level while economic growth and gross capital formation became stationary at I (1). Johansen co-integration analysis indicates that there is presence of both long-run and short-run relationship between the three variables in the Kingdom of Saudi Arabia. The result of the VECM Model reflects that both economic growth and gross capital formation have a negative impact on urban population in the short run. According to the Granger-Causality tests, there is unidirectional causality with the urban population by both gross capital formation and economic growth. Also, the result of the Granger Causality tests show that there is unidirectional causality between economic growth and gross capital formations.

The study aims to investigate the dual effects of corruption control on economic growth in relationship with the stock market and trade openness in developing countries. The study used difference S-GMM method on the dynamic panel data model in the period (2002-2017) with data collected from the World Bank. The study discovers the dominant impacts of corruption control in the relationship with the stock market on economic growth. At the same time, the study also confirms the overwhelming impact of corruption control in the relationship between trade openness and economic growth in the developing countries. In addition, the study shows that inefficient stock markets in developing countries will not promote economic growth. Meanwhile, the long-standing credit market has a positive impact on economic growth. With the strong development of stock market and trade openness in the period (2002-2017), control on corruption in developing countries does not get better in time with the increase in demand. The findings of this study suggest a number of solutions to strengthen corruption control, leading to the increased efficiency on the stock market and as well as encouraging the positive effects of trade openness to contribute to promoting economic growth in developing countries.

The neoclassical economic supporters have suggested that foreign direct investment and raw material (e.g., coal, electricity, gas, and oil) are critical economic growth inputs. Few previous studies have analyzed the relationship between foreign direct investment and energy consumption on economic growth. However, existing studies usually have applied the frequentist inference. The limitation of the frequentist inference is that, if the coefficient of the independent variable is not yet significant, then conclusions might be unreliable. By applying the Bayesian approach, the main aim of this study is to revisit the impact of foreign direct investment, electricity consumption, and urbanization on economic growth in six ASEAN countries from 1980 to 2016. The obtained outcome shows that the impact of electricity consumption is evident and positive on economic growth in both frequentist and Bayesian inferences. However, the influence of foreign direct investment is not identified by frequentist inference, while Bayesian inference provides evidence that foreign direct investment is a moderately positive impact on economic growth. The empirical result from Bayesian inference contributes to the literature on foreign direct investment modeling and could be of significant importance for a more efficient foreign direct investment attracting and achieve sustainability in the long-term.

This study introduced income mobility analysis using pseudo-longitudinal panel data from Family Income and Expenditure Survey (FIES) to consider the dynamic process of individual’s well-being through time. Since there is no comprehensive measurement of income mobility because of its dynamic process, various income mobility indices such as Chi-square, Average Jump Index, Atkinson et al. Mobility Ratio, and Shorrocks’ Mobility Index were used. These indices revealed that Filipino households’ income movements are more mobile than expected, and their income status improved from 2000 to 2015. As income mobility takes place, income inequality is reduced by 91.80 percent (91.80%). Furthermore, the growth effect is the main factor of income mobility. This indicates that households took the economic opportunities from economic growth to earn more. However, income mobility due to transfer effect (transfer of income from one household to another through lottery winning and borrowing) increased when the economy is not good. The higher income mobility due to growth effect compared to transfer effect, whether the economy is good or bad, means that households learned how to use their income in savings, investments, and entrepreneurship. This is the result of a successful financial literacy program of the government wherein households realized financial stability and security.

The aim of this study is to develop basic artificial neural network models in forecasting the in-sample gross domestic product (GDP) of Malaysia. GDP is one of the main indicators in presenting the macro economic condition of a country as set by the world authority bodies such as the World Bank. Hence, this study uses an artificial neural network-based approach to make predictions concerning the economic growth of Malaysia. This method has been proposed due to its ability to overcome multicollinearity among variables, as well as the ability to cope with non-linear problems in Malaysia’s growth data. The selected inputs and outputs are based on the previous literatures as well as the economic growth theory. Therefore, the selected inputs are exports, imports, private consumption, government expenditure, consumer price index (CPI), inflation rate, foreign direct investment (FDI) and money supply, which includes M1 and M2. Whilst, the output is real gross domestic product growth rate. The results of this study showed that the neural network method gives the smallest value of mean error which is 0.81 percent with a total difference of 0.70 percent. This implies that the neural network model is appropriate and is a relevant method in forecasting the economic growth of Malaysia.

This study investigates the causal relationship between public and private external debt and economic growth in developing countries. Our model includes 18 selected Asian developing and transition economies from 1995 thru 2019. We employ the dynamic heterogeneous panel data methods, pooled mean group (PMG), robust cross-sectional augmented autoregressive distributed lag (CS-ARDL), and pairwise panel causality test. The results of PMG and CS-ARDL show the existence of causality between external debt and economic growth both in the short-run and long-run. The pairwise Granger causality test found the bidirectional causal relationship runs from total external debt, public external debt, and private external debt to economic growth and economic growth to external debt. The results showed first the existence of causality in the short-run and long-run between external debt and economic growth and the second, bi-directional causality that runs from external debt to economic growth and economic growth to external debt. Both the dynamic models and robust estimator found the same inferences about the impact of main variables on economic growth in Asian developing and transition economies. The findings of this study suggest to assure debt management, investment in productive sectors, increase domestic savings, decrease external dependency, and focus on international trade.

This study aims to analyze the effect of public spending, macroeconomic variables, and BPK opinion on economic growth. This study is motivated by the inequality of fiscal policy effectiveness between regions in Indonesia in influencing the economic growth of different regions, the ability of local governments to attract foreign investors, and the transparency of regional financial management in designing development programs to encourage regional economic growth. The analytical tool in this study is a dynamic panel regression model with data from 2008 to 2017. The results of this study show that, in the short term, the population affects regional economic growth, while in the long term, the economic growth is affected by the number of people, the poor, General Allocation Fund, health budget, foreign investment and BPK opinion. The findings of this study are that in the long term the General Allocation Fund becomes an obstacle to economic growth, this is because the general allocation funds is widely used to cover the lack of funds for routine regional activities, thereby reducing activities for development programs. Another research finding is that fiscal policies carried out by local governments make a small and ineffective contribution to promoting economic growth.

The aim of this study is to find out the time-series nexus of public debt and economic growth in Malaysia. For an upper-middle income country, Malaysia had experienced over 50% ratio of debt to GDP since 2009 until now. The question arises is whether this trend is healthy to the economy. With a focus into the debt-to-GDP ratio from 1970-2015, this study investigates the short-run and long-run relationship between public debt and economic growth in Malaysia. This study used secondary data by collecting time-series data (1970-2015) from the World Bank Data and Bank Negara Malaysia. Autoregressive Distributed Lag (ARDL) model is applied in this study to examine the relationship between debt and economic growth. Based on ARDL framework, it shows that there is a long-run effect between the debt and economic growth in Malaysia. While the significance value of Error Correction Term shows that there is a long-run adjustment in the short run. Generally, this study found government expenditures, in the long run, strongly influence the GDP per capita. Through the findings, the government expenditures could increase the GDP per capita. The study also reveals that any increment of the debt ratio will result in reduction of the GDP per capita.

This study aims to measure the effects of real interest rate (RIR), gross domestic savings (GDS), and net exports (EN) shocks on Indonesia’s economic growth (EG). The focus on Indonesia is unique due to the abundant resources available in the nation, but they are unsuccessful in boosting economic growth. This study applied a quantitative method to comprehensively analyze the correlation between variables by employing Vector Autoregression Model (VAR) combined with Vector Error Correction Model (VECM). Various procedures are preformed: Augmented Dickey–Fuller test (ADF), Optimum Lag Test, Johansen Cointegration Test, Granger Causality Test, as well as Impulse Response Function (IRF) and Error Variance Decomposition Analysis (FEVD). The data were collected from the World Bank and the Asian Development Bank from 1986 to 2017. The findings of the study indicated that economic growth responded positively to real interest rate shocks, which implies that when the real interest rate experiences a shock (increase), the economy will be inclined to growth. While, economic growth responded negatively to gross domestic savings and net export shocks. Policymakers are expected to consider several matters, particularly the economic conditions at the time of formulating policy, so that the prediction effectiveness of a policy can be appropriately assessed.

Foreign factors play an important role in the socio-economic development of each country, in which foreign direct investment (FDI), foreign aid and exports of goods and services are always given top priority in undeveloped countries as well as developing countries. The purpose of this study is to examine the relationship between the various factors such as FDI, foreign aid, exports and economic growth in Vietnam. The empirical method employed secondary time-series data set during the period 1997-2018 to determine the impact of FDI, foreign aid and exports on economic growth in Vietnam by using a linear approach. For this study, data is collected from the World Bank and relevant agencies in Vietnam. An empirical model is built with a correlation and regression analysis between economic growth (GDP, current) and three independent variables (FDI, aid, exports of goods and services). The results show that the relationship between FDI (net inflows), aid, exports and GDP (current) has a positive effect at a 1% significance level. Based on these findings, the article recommends that Vietnam continues to seek effective solutions to maintain high economic growth rates by attracting FDI inflows, official development assistance (ODA), and increasing exports of goods and services.

As an effort to achieve sustainable development and increase people’s welfare, financial inclusion has become the policy agenda of many countries. Therefore, the effect of financial inclusion on economic growth, poverty, income inequality, and financial stability in several countries in Asia has become the goal and this is the subject of this study. Financial inclusion is measured by 3 dimensions, namely banking penetration, access to banking services, and use of banking services. Poverty ratio below the national poverty line and the Gini coefficient are used as indicators of poverty and income inequality. Financial stability is measured by Bank Z-Score and bank nonperforming loans. The results from the hypothesis test shows that all dimensions of financial stability simultaneously have significant influence on economic growth, poverty, income inequality, and financial stability. On the other hand, the partial impact of financial inclusion dimension on economic growth, poverty alleviation, income inequality, and financial stability in ten countries of Asia has not been optimal. The derived results of this study is required to be interpreted and considered by the Governments of each country in developing strategies for increasing financial inclusion, so that the policy to achieve sustainable development and enhancement of people’s welfare can be achieved.

The study investigates the impact of inflation rate on economic growth to find the best-fit model for economic growth in Vietnam. The study applied Vector Autoregressive (VAR), cointegration models, and unit root test for the time-series data from 1996 to 2018 to test the inflation impact on the economic growth in the short and long term. The study showed that the two variables are stationary at lag first difference I(1) with 1%, 5% and 10%; trace test indicates two cointegrating equations at the 0.05 level, the INF does not granger cause GDP, the optimal lag I(1) and the variables are closely related as R2 is 72%. It finds that the VAR model’s results are the basis to perform economic growth; besides, the inflation rate is positively related to economic growth. The results support the monetary policy. This study identifies issues for Government to consider: have a comprehensive solution among macroeconomic policies, monetary policy, fiscal policy and other policies to control and maintain the inflation and stimulate growth; set a priority goal for sustainable economic growth; not pursue economic growth by maintaining the inflation rate in the long term, but take appropriate measures to stabilize the inflation at the best-fitted VAR forecast model.

This research paper examines the causal relationship between India’s economic growth and sectoral contribution to Gross Domestic Product (GDP) and vice versa, in the short-run and long-run, over a 10 years time period. Johansen’s method of cointegration is used to study the cointegration between the sectoral contributions to Indian GDP vis-à-vis India’s economic growth. Further, the route of interconnection between economic growth and sectoral contribution is tested by using Vector Auto Regression (VAR) model. Special attention was given for investigating impulse responses of economic growth depending on the innovations in sectoral contribution using time-series data from 1960 to 2015. This paper highlighted a dynamic co-relationship among industrial sector contribution and agricultural sector contribution and economic development. In the long run, one percent change in industrial sector contribution causes an increase of 3.42 percent in the economic growth and an increase of 1.12 percent in the primary sector contribution, while in the short run industrial and service sector contributions showed significant impact on economic development and agriculture sector. The changing composition of sector contribution is going to be an important activity for the policymakers to monitor and control where the technology and integration of sectors play a significant role in economic development.