scholarly journals Convergence or Divergence? Emission Performance in the Regional Comprehensive Economic Partnership Countries

2021 ◽  
Vol 13 (18) ◽  
pp. 10135
Author(s):  
Fan Yang ◽  
Yongrok Choi ◽  
Hyoungsuk Lee

Emission convergence is a fundamental ground for cooperative CO2 emission mitigation. We investigate the emission convergence in the Regional Comprehensive Economic Partnership (RCEP) countries using a modified dynamic β-convergence model. From 2000 to 2017, the per capita emissions of the RCEP countries and its subgroups show a statistically significant diverging pattern. Nonetheless, upon accounting for multiple inputs and outputs using data envelopment analysis, we find that two out of the three emission performance indicators show statistically significant absolute convergence. The carbon emission efficiency (CEE) of the 15 RCEP countries grew from 0.5719 in 2000 to 0.6725 in 2017 and will converge at a value of 0.8187, while the carbon–population performance (CPP) increases from 0.4534 to 0.5690 and will converge at 0.7831. Furthermore, using a conditional β-convergence model, we find that trade volume has no significant effect on the growth rates of CEE and CPP, but can accelerate their speed of convergence, which indicates that the establishment of the RCEP may facilitate the convergence of its 15 member countries on CEE and CPP. Our findings suggest that emission mitigation agreement in the RCEP countries is feasible. CEE- or CPP-based indicators can be used for emission budget allocation.

2021 ◽  
Author(s):  
Kailan Tian ◽  
Yu Zhang ◽  
Yuze Li ◽  
Xi Ming ◽  
Shangrong Jiang ◽  
...  

Abstract Regional trade agreements (RTAs) have been widely adopted to facilitate international trade and cross-border investment and ultimately promote economic development. However, ex ante measurements of the environmental effects of RTAs to date have not been well conducted. Here, we estimate the CO2 emission burdens of the Regional Comprehensive Economic Partnership (RCEP) after evaluating its economic effects. We find that trade among RCEP member countries will increase significantly and economic output will expand with the reduction of regional tariffs. However, the results show that complete tariff elimination among RCEP members would increase the yearly global CO2 emissions from fuel combustion by about 3.12%, which doubles the annual average growth rate of global CO2 emissions in the last decade. The emissions in some developing members will surge. We therefore stress the necessity of balancing carbon mitigation and the pursuit of economic profitability. The technological advancement of emission mitigation and more effective climate policies for international trade are urgently required to avoid undermining international efforts to reduce global emissions.


2014 ◽  
Vol 12 (1) ◽  
pp. 16
Author(s):  
Dichi Febrian Putra

The aims of this study is to measure and explain the efficiency level of bank listed on the Indonesia Stock Exchange (IDX) 2012-2013, as well as to analyze the composition of input and output that must be performed by an inefficient banking and the best reference for an inefficient banking on efficient banking. The data analysis technique that used in this study is using Data Envelopment Analysis (DEA) by using a model of Constant Return to Scale (CRS) consisting of the input variable (deposit, fixed assets, and the cost of labor) and output (loans). The result of this study indicated that the 33 banks listed on the Stock Exchange has an average technical efficiency of 86.72% in 2012 and 84.98% in 2013. Overall only six banks that have 100% value of efficiency in 2012, while in 2013 there are five banks which have 100% value of efficiency. Banks that have an efficiency value 100% can be a reference for a bank that has inefficient value which is under 100%. The cause of large inefficiency is because the disbursed loan variable has a value 81.81% on 2012 and 84.84% on 2013.


2015 ◽  
pp. 25-41
Author(s):  
Anh Tu Thuy ◽  
Ngoc Le Minh

This paper makes use of two trade indicators, Revealed Comparative Advantage (RCA) and Regional Orientation (RO), to evaluate the economic impacts of the ASEAN Free Trade Area (The) and the Regional Comprehensive Economic Partnership (RCEP) on Vietnamese commodities at the Harmonized System (HS) 2-digit level. Several sectors in which Vietnam has revealed a comparative advantage, has benefited from the AFTA, and would continue to enjoy trade creation from the RCEP, are: Cereals (10), Salt, sulphur, earth, stone, plaster, lime and cement (25), Rubber (40), Knitted or crocheted fabric (60), etc. More importantly, the result provides a list of commodities in which Vietnam has a comparative advantage and only experiences trade creation when participating in the RCEP. These are: Milling products, malt, starches, inulin, wheat gluten (11), Vegetable plaiting materials, vegetable products not elsewhere specified (14), Wood and articles of wood, wood charcoal (44), etc. Findings also show commodities in which Vietnam has a comparative advantage; but are not well positioned in the RCEP market yet, e.g. Cereal, flour, starch, milk preparations and products (19) and Manmade staple fibres (55). If sufficient investment decisions and marketing strategies are applied to these commodities, they will well penetrate the RCEP market and bring trade creation and welfare improvement to Vietnam. Public and private investment should consider the above-mentioned commodities as targets to leapfrog the benefits of RCEP.


2019 ◽  
Author(s):  
Jeffrey A. Shero ◽  
Sara Ann Hart

Using methods like linear regression or latent variable models, researchers are often interested in maximizing explained variance and identifying the importance of specific variables within their models. These models are useful for understanding general ideas and trends, but often give limited insight into the individuals within said models. Data envelopment analysis (DEA), is a method with roots in organizational management that make such insights possible. Unlike models mentioned above, DEA does not explain variance. Instead, it explains how efficiently an individual utilizes their inputs to produce outputs, and identifies which input is not being utilized optimally. This paper provides readers with a brief history and past usages of DEA from organizational management, public health, and educational administration fields, while also describing the underlying math and processes behind said model. This paper then extends the usage of this method into the psychology field using two separate studies. First, using data from the Project KIDS dataset, DEA is demonstrated using a simple view of reading framework identifying individual efficiency levels in using reading-based skills to achieve reading comprehension, determining which skills are being underutilized, and classifying and comparing new subsets of readers. Three new subsets of readers were identified using this method, with direct implications leading to more targeted interventions. Second, DEA was used to measure individuals’ efficiency in regulating aggressive behavior given specific personality traits or related skills. This study found that despite comparable levels of component skills and personality traits, significant differences were found in efficiency to regulate aggressive behavior on the basis of gender and feelings of provocation.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Rachman Hakim ◽  
Tri Haryanto ◽  
Dyah Wulan Sari

AbstractRice is a staple food in East Java, and the average consumption is 100 kg/capita/year. However, rice productivity has declined dramatically in recent years. Food security can be reached by improving the technical efficiency of rice farming, especially in rice farming centers such as East Java Province. This study aims to measure technical efficiency and its determinants using two limit tobit. And it also aims to examine the effect of the technical efficiency of rice farming on food security using logit regression. Technical efficiency will be measured by using data envelopment analysis (DEA). The results show that the technical efficiency of rice farming is very low in East Java. Government assistance, irrigation, and extension have a significant effect on technical efficiency. Meanwhile, membership of farmer organization has no effect on technical efficiency. Around 69% of farmers can be categorized as food secure households. The estimation of logit regression shows that household size, income, land size, education, age, and gender significantly influence food security in East Java. Meanwhile, credit and technical efficiency did not have any significant effect.


Mathematics ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 469
Author(s):  
Chia-Nan Wang ◽  
Thi-Ly Nguyen ◽  
Thanh-Tuan Dang ◽  
Thi-Hong Bui

In Vietnam, fishing is a crucial source of nutrition and employment, which not only affects the development of the domestic economy but is also closely related to exports, heavily influencing the economy and foreign exchange. However, the Vietnamese fishery sector has been facing many challenges in innovating production technology, improving product quality, and expanding markets. Hence, the fishery enterprises need to find solutions to increase labor productivity and enhance competitiveness while minimizing difficulties. This study implemented a performance evaluation from 2015 to 2018 of 17 fishery businesses, in decision making units (DMUs), in Vietnam by applying data envelopment analysis, namely the Malmquist model. The objective of the paper is to provide a general overview of the fishery sector in Vietnam through technical efficiency, technological progress, and the total factor productivity in the four-year period. The variables used in the model include total assets, equity, total liabilities, cost of sales, revenue, and profit. The results of the paper show that Investment Commerce Fisheries Corporation (DMU10) and Hoang Long Group (DMU8) exhibited the best performances. This paper offers a valuable reference to improve the business efficiency of Vietnamese fishery enterprises and could be a useful reference for related industries.


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