This paper examines the relationship between public policy and education management in Indonesia by looking at various indicators influencing the public policy and the education management. For education management, factors like education achievement at elementary & higher school, college enrolment, job market in both local and international levels and social development are observed. Public policy is studied through work force development, higher education, brain drain, public safety, constitutional convention, job approval, legislature and operation policies. To examine this association, a survey questionnaire is developed and presented on various respondents regarding public policy and education management. A sample of 327 respondents is empirically examined and it is observed that the effect of work force development on elementary school achievement was significant while the effect of brain drains, job approval and legislature were crucial for the presented indicators of education management. Further studies can be conducted while considering other aspects of both public policy and education.
The purpose of the present study analysis is to empirically examine the impact of various environmental factors on the Tourism industry in Indonesia.To achieve this objective, data is collected from World Development Indicators during the time of 1996-2016 under the title of environmental factors as defined by the experts of the world bank. A time of 22 years has been finalized for the predictors of tourism industry like forest area (FA), population growth, energy use, agriculture, forestry and fishing along with CO 2 emissions. Both descriptive and regression analysis techniques have been applied while adding the lagged predictors of both tourism industry and environmental factors. Eight regression models have been developed and results are generated through statistical tools like STATA-14. Findings of the study indicate that FA and population growth are the significant determinants of the tourism industry. Among the lagged predictors, international tourism (lagged), Nitrous oxide emissions, and lagged values of FA are significantly affecting international tourism receipt (ITR) in the region of Indonesia. For the 2 nd proxy; tourism expenditures, the key determinants under model 5-8 are, international tourism (lagged), Nitrous oxide emissions (lagged), CO 2 emission (lagged) and population growth. As per the practical implications, this study is very much useful for both the industry experts and policymakers at macro-level. Considering the set of factors as explained in the present study will provide new insight regarding sustainable development through environmental factors of the tourism industry. However, the key limitations are the lack of advance time series investigation, ignoring the impact of macroeconomic indicators and cross region analysis.
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