Environmental Management Prospects of Industrial Area: A Case Study on McIe, Indonesia

Sjaifuddin, Sjaifuddin

doi:10.3846/btp.2018.21

Cited by 9 publications

(10 citation statements)

References 32 publications

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“…For that purpose, they used instruments of econometric analysis. It should be highlighted that a huge range of the scientists investigated the link between the level of corruption, good government, and indicators of macroeconomic stability: indicators of economic growth [38][39][40][41][42] economic freedom and democracy [43][44][45][46], innovation potential [47,48] and country macroeconomic [49][50][51][52][53][54], and social [55][56][57][58][59] and ecological aspects of a country's development [60][61][62][63][64][65][66].…”

Section: Saidi and Mbarekmentioning

confidence: 99%

Sustainable Economic Development and Greenhouse Gas Emissions: The Dynamic Impact of Renewable Energy Consumption, GDP, and Corruption

et al. 2019

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The paper investigates the relationships between economic, social, and environmental dimensions of sustainable development. GDP growth represents the main economic dimension, greenhouse gas (GHG) emissions and renewable energy consumption the environmental dimension, and corruption the social dimension of sustainable development. The investigation of these relationships is based on the concept of the Environmental Kuznets Curve hypothesis about the non-linear relationship between economic growth and environmental pollution. The authors used the panel data of EU countries and Ukraine for 2000–2016 years from the Eurostat database. The obtained results confirmed the Environmental Kuznets curve hypothesis for the EU and Ukraine. All the indicators were statistically significant at 1% and 5% levels. The findings proved that increasing renewable energy (RE) by 1% led to a decline of GHG in the interval (0.166103, 0.220551), and аn increase of the Control of Corruption Index by 1% provoked a decline of GHG by 0.88%. The conducted study enabled the authors to conclude that Ukraine needs to increase the GDP level per capita given the economy diversification and via the introduction of more effective and “clean” production technologies.

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Section: Saidi and Mbarekmentioning

confidence: 99%

Sustainable Economic Development and Greenhouse Gas Emissions: The Dynamic Impact of Renewable Energy Consumption, GDP, and Corruption

et al. 2019

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“…It should be underlined, that a lot of the scientists investigate the relationship between economic development and efficiency of SDGs 2030 achieving through the analysis of linking between: Environmental Performance Index and countries GDP [31,[64][65][66][67], Environmental Performance Index and Institutions Quality [68][69][70][71][72]; economic, social and ecological indicators of the countries Figure 2. GDP per capita and renewable energy consumption for EU countries (1990-2015) [11,12].…”

mentioning

confidence: 99%

“…It should be underlined, that a lot of the scientists investigate the relationship between economic development and efficiency of SDGs 2030 achieving through the analysis of linking between: Environmental Performance Index and countries GDP [31,[64][65][66][67], Environmental Performance Index and Institutions Quality [68][69][70][71][72]; economic, social and ecological indicators of the countries development [73][74][75][76][77][78][79][80][81][82][83][84], socioeconomic development and economic growth [85], economic growth, environmental pollution and social development which measured by the level of morbidity [86][87][88][89].…”

mentioning

confidence: 99%

Assessment of Green Investments’ Impact on Sustainable Development: Linking Gross Domestic Product Per Capita, Greenhouse Gas Emissions and Renewable Energy

et al. 2019

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The paper analyses the linkages between GDP per capita, greenhouse gas (GHG) emissions, and renewable energy (RE) in the total final energy consumption and green investments (PICE) which are measured as private investments, jobs, and gross value added related to circular economy sectors. The object of the analysis is the EU countries during the 2008-2016 period (crisis and post-crisis period). In the paper, data from the following databases was used: the Eurostat, the World Data Bank, and the European Environmental Agency. For addressing the linkages between the aforementioned indicators, the following methods were applied: panel unit root test, Pedroni panel cointegration tests, and the fully modified ordinary least squares (FMOLS) and dynamic ordinary least squares (DOLS) panel cointegration techniques. The findings show that FMOLS and DOLS demonstrate the same results as GHG, PICE, RE influence on GDP of the EU countries. The findings prove there is linking between gross domestic product per capita, greenhouse gas emissions, renewable energy in the total final energy consumption and green investments. The findings also show that green investment (PICE) could provoke the growth of GDP per capita by 6.4%, the decline of GHG by 3.08%, and the increase of renewable energy in the total final energy consumption by 5.6%.

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“…It cannot be denied anymore that tourism is the most important part of a country's economy. For developed countries, in addition to making a major contribution to the sustainability of economic growth, tourism based on industry excellence also provides minimal environmental impact (Sjaifuddin, 2018). For developing countries, especially if the industrial development is not good, usually the tourism sector still has a large contribution to the state revenue (Akis, 2011).…”

Section: Introductionmentioning

confidence: 99%

Sustainable management of freshwater swamp forest as an ecotourism destination in Indonesia: a system dynamics modeling

Sjaifuddin¹

2020

JESI

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As a freshwater swamp forest that still remains in Java, the existence of Rawa Danau as an ecotourism destination is important to be explored, because its utilization is not yet based on sustainable management principles. For this reason, a system dynamics modeling was then made that integrates various factors in the biophysical, social, and economic dimensions to obtain the best alternative for managing the future ecotourism destinations. Management alternatives are designed in three scenarios: deep ecotourism oriented to very strong/strong sustainability; shallow ecotourism oriented to weak sustainability; and mass tourism oriented to very weak sustainability. The results showed that deep ecotourism was the most suitable scenario to be implemented. Through this scenario, the control of several parameters that were successfully carried out during the 10 years of the simulation are as follows: 1) restrain the growth rate of tourist numbers so as not to burden the environment; 2) reforesting almost all forest land converted so that the restoration of forest functions goes well; 3) increase local community income so that the community gets adequate economic benefits; 4) increase environmental investment so that stakeholders benefit economically, ecologically, and socially in an integrated manner; 5) maintaining biodiversity at a high level; 6) maintain swamp water reserves at a very good level; 7) reduce the volume of solid waste so that it does not burden the environment.

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Environmental Management Prospects of Industrial Area: A Case Study on McIe, Indonesia

Cited by 9 publications

References 32 publications

Sustainable Economic Development and Greenhouse Gas Emissions: The Dynamic Impact of Renewable Energy Consumption, GDP, and Corruption

Sustainable Economic Development and Greenhouse Gas Emissions: The Dynamic Impact of Renewable Energy Consumption, GDP, and Corruption

Assessment of Green Investments’ Impact on Sustainable Development: Linking Gross Domestic Product Per Capita, Greenhouse Gas Emissions and Renewable Energy

Sustainable management of freshwater swamp forest as an ecotourism destination in Indonesia: a system dynamics modeling

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