https://econjournals.com/index.php/ijeep/article/view/11807

Priyagus, Priyagus

doi:10.32479/ijeep.11807

Cited by 2 publications

(2 citation statements)

References 25 publications

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“…The dependent variable was played by GDPAg and 7 independent variables were highlighted by EA, Ptn, AL, CP, FP, LP, and Ftr. The independent variable group is in a position to driving the dependent variable [31]. The independent variable is identical to "𝑋", while the dependent variable is often called "𝑌" [32][33].…”

Section: Structure Of Variablesmentioning

confidence: 99%

What Driving Gross Domestic Product of Agriculture? Lessons from Indonesia (2014-2021)

Rosyadi¹,

Darma²,

Darma³

2023

IJSDP

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Developing markets such as Indonesia are now concentrating open agriculture, which is actualized in the share of global agro-industry. At the same time, the existence of dependence on agricultural products between one nation and another, is articulated as an opportunity and a competitive advantage. This paper evaluating the factors driving the GDP of agriculture in Indonesia. Data duration is 2014-2021. The construction of the analysis is framed by linear regression. It was found that employment in agriculture, precipitation, arable land, crop production, food production, livestock production, and fertilizer have a simultaneous impact on GDP of agriculture. Then, employment in agriculture, precipitation, food production, livestock production, and fertilizer have a partial impact on the GDP of Agriculture. Unfortunately, arable land and crop production do not have a partial impact on the GDP of Agriculture. Long-term prospects consider dimensions that are not influential to be developed holistically. Another point is also considering the GDP of agriculture in a more competitive exploration. Weaknesses of this scientific paper are highlighted for academic contributions and practical compilations. In the future, limitations on data extraction can be developed. Furthermore, practical policy elaboration as the primary key in agricultural institutions, strengthening farmer innovation, and protecting agricultural land from the threat of increasingly extreme temperature depletion and massive settlement development.

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Section: Structure Of Variablesmentioning

confidence: 99%

What Driving Gross Domestic Product of Agriculture? Lessons from Indonesia (2014-2021)

Rosyadi¹,

Darma²,

Darma³

2023

IJSDP

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“…Jiuhardi et al (2022) emphasizes that changing the status of agricultural land from fertile to barren is a "bad signal" reflecting the destruction of the food supply for generations. There is an aggressive transition from agriculture to industry, services and real estate on the island of Java which also contributes to the greenhouse gas effect (Priyagus, 2021). According to Gaveau et al (2014) and Karjoko et al (2020), although East Kalimantan is highlighted globally by excessive natural exploitation such as: new reserves of coal, gas and oil, it remains a priority of the "lungs of the world" because when compared to other areas, the proportion of protected forest in East Kalimantan still relatively awake.…”

Section: Introduction 1backgroundmentioning

confidence: 99%

Energy Operations for Resident and Its Implications for Economic Growth: Indonesia’s New Capital City as a Case Study

Rosyadi

Hasid

Purwadi

2023

IJEEP

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The topic of "IKN" is not just a discourse. This is good news for Indonesia which is trying to be free from prosperity conflicts, which so far have only been concentrated in one area. What is more crucial is that the struggle for economic resources is also always won by regions that have inclusive GRDP growth, competitive workers, and solid infrastructure facilities, especially in Java. This is because regions such as Kalimantan, their economic prospects are sinking because the transformation of consumption and purchasing power is not working. Therefore, this paper initiates the relationship between population, electricity, water production, and regional/GRDP growth in the center of IKN and 4 buffer zones. Systematics in data extraction uses panel regression which presents time-series data (8 periods). Valuable insights conclude some important findings. The population has been proven to increase electricity in PPU, Paser, Balikpapan and Samarinda. Positive causality also indicates the effect of population on water production in PPU and Balikpapan. However, it also influences positively. On the other hand, electric power has a positive impact on economic growth in PPU, while in Paser, water production actually increases economic growth. Population as the only variable that has no effect on economic growth in all cases. Only Kukar has all the opposite variables and has a negative effect. Finally, preparations towards a fair IKN development perspective consider long and short term policy packages.

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https://econjournals.com/index.php/ijeep/article/view/11807

Cited by 2 publications

References 25 publications

What Driving Gross Domestic Product of Agriculture? Lessons from Indonesia (2014-2021)

What Driving Gross Domestic Product of Agriculture? Lessons from Indonesia (2014-2021)

Energy Operations for Resident and Its Implications for Economic Growth: Indonesia’s New Capital City as a Case Study

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