Inefficiency Model Research Articles

A novel multi-modal Federated Learning based thermal-aware job scheduling framework

Cooling costs constitute more than half of the total data center energy expenditure. Thermal imbalance resulting in hotspot regions requires additional cooling power. To reduce it, thermal aware job scheduling is a well-known software solution that is subject to predicting correct server temperatures. Existing solutions have not explored intelligent solutions and rely only on logic based algorithms to allocate tasks that work on predefined rules. Few deep learning based solutions that are proposed, have not explored it’s alternatives and existing data modalities in data centers, resulting in inefficient models. Existing literature only proposes solutions based on unimodal tabular data. Therefore, we propose a multimodal architecture that considers different underlying data modalities in data centers to increase the efficiency of the model and predict correct server temperatures. Increasing production of data and need of storage and processing units has led to development of distributed data centers. Existing techniques are limited to individual data centers which fail to consider the data privacy restrictions that arise while dealing with distributed scenarios. Findings from our simulations affirm our proposed scheme in terms of above-mentioned objectives. We propose a federated learning architecture that efficiently deals with distributed data centers while ensuring privacy. Our simulation results show an overall increase in the efficiency of the model in comparison to existing intelligent solution. Furthermore we provide comparative results that show how our model performs better and achieves lower thermal imbalance as compared to an existing scheme.

EFFECTS OF POLICY FACTORS ON TECHNICAL EFFICIENCY OF IRRIGATED RICE PRODUCTION UNDER DIFFERENT LAND ADMINISTRATION INSTITUTIONS DADIN KOWA IRRIGATION SCHEME, NIGERIA

The study was conducted to determine the effects of policy factors of land administration on the technical efficiency of irrigated rice production in the Dadin Kowa Irrigation Scheme (DKIS) area. A structured questionnaire was used for data collection. Three hundred and twenty irrigated rice farmers were selected using multi-stage sampling technique drawn from five land administration institutions in the DKIS area. Descriptive statistics, stochastic frontier, and multiple regression models were used to analyze the data. The technical efficiency (TE) analysis revealed that for the sample, farm size (P<0.01), fertilizers (P<0.05), herbicides (P<0.05), and pesticides (P<0.01) were all significant and negative while labour was positive (P<0.01). The inefficiency model for TE revealed that for the sample, four variables education, household size, access to improved seeds, and distance to market were each statistically significant at 5% probability level and negative (except for education which was positive). The effects of five policy factors of land administration (land governance, partnership in land use, socio-economic factors, gender and inclusiveness, institutional and environmental factors) on TE revealed that for the aggregate sample, only land governance (P<0.01) and socio-economic factors (P<0.05) were significant. The study recommended that the five policy factors of land administration should be accorded priority in strategic policy planning and implementation of programme for improving the productivity of irrigated agriculture and the livelihoods of people in the study area.

Effect of Seed and Fertilizer Subsidies on the Technical Efficiency of Rice Farmers in Senegal

The aim of this study was to analyze the effect of seed and fertilizer subsidies (NPK and urea) on the technical efficiency of rice farmers in Senegal. Using data from the Annual Agricultural Survey (EAA) of the Directorate of Analysis, Forecasting and Agricultural Statistics of Senegal (DAPSA), the results of Stochastic Frontier Analysis (SFA) revealed that rice farmers in Senegal have on average a technical efficiency level of 0.545. This suggests that they could increase their current production by 45.5% while using the same level of inputs. Estimation of an SFA model for technical inefficiency revealed that seed and urea subsidies have a significant effect on reducing technical inefficiency. A farmer using subsidized seed saw a reduction in technical inefficiency level by 10.5% and using urea was associated with a 5.1% decrease in inefficiency. In contrast, the model showed no association between the use of subsidized NPK or the use of herbicides and technical inefficiency. And use of organic fertilizer was estimated to worsen technical inefficiency by 4.4% (perhaps reflecting greater reliance on lower-cost inputs among less productive farm households in Senegal). With regard to socio-demographic factors, the results further revealed older respondents experienced more severe technical inefficiency, and that women on average were 9.6% more inefficient than men. These barriers to improved efficiency among older farmers and women suggest targeted supports may be necessary alongside general subsidy programming.

Short-term load distribution model for cascade giant hydropower stations with complex hydraulic and electrical connections

The cascade giant hydropower station system (CGHSS) has been widely applied in countries with abundant water resources. However, the dense hydropower stations and power grids bring complex hydraulic and power connections, including the backwater effect, multiple hydroplants sharing one reservoir and one-reservoir multiple dispatch power grid, which leads to modelling difficulties and inefficient model solving. To address these challenges, a short-term load distribution (SLD) model considering complicated hydraulic and electricity constraints is developed. First, the discharge of each hydroplant and the downstream forebay water level are used as inputs to construct a multivariate nonlinear function, and the average tailwater levels are obtained. Second, a head constraint considering the shared water level is added to the model to calculate the head of each hydroplant, making the output more accurate. Finally, the nonlinear constraints are linearly reconstructed using the Big-M method, triangulation technique and special ordered sets to reduce the model solution time. The SLD model is applied to the Xiluodu-Xiangjiaba cascade hydropower system in the Jinsha River. The results show that the developed model reduces water consumption by 4.02 %, 4.70 %, 5.79 % and 5.28 % compared to the constant proportional distribution model and the real operation, generating a more executable SLD scheme.

Elementary education outcome efficiency of Indian state governments: a generalized stochastic frontier approach

PurposeThis paper aims to analyze the technical efficiency of Indian State governments in providing elementary education (EE) and to identify the determinants of their technical inefficiency.Design/methodology/approachThe Generalized Stochastic Frontier Approach (GSFA) is used in the context of the Inefficiency Effects Model to simultaneously estimate the frontier production function and the technical inefficiency model. Panel data of 28 Indian States from 2009–10 to 2018–19 is used.FindingsThe mean efficiency of States stands at 86%. Efficiency varied between 67 and 97%. 96% of the inter-state disparity in EE outcomes can be explained by inefficiency. Arunachal Pradesh is the least efficient State, followed by Sikkim and Tripura. Efficiency estimates were observed to change across States over the study period. Proportion of government schools, rural population, and proportion of Schedule Caste and Schedule Tribe children are the major determinants of inefficiency.Practical implicationsThis study emphasizes that efficient resource management is as important as adequate resource allocation for achieving positive EE outcomes. It distinguishes resource-poor States from inefficient ones, providing insights to enhance States’ efficiency, and aiding policymakers in formulating strategies for ensuring equitable and quality EE.Originality/valueThis is the first paper to apply GSFA (for Indian States), providing a more robust estimation of efficiency. The Inefficiency Effects Model is employed that address the limitations inherent in the two-stage approach.

Kenya’s macroeconomic policies and trade efficiency within the East African Community: A stochastic frontier analysis

Despite Kenya dominating trade volumes in the East African Community (EAC), it has been trading below its potential within the region. This is also in spite of the increased scope of the country’s trade opportunities resulting from the region’s increased market integration. Empirical evidence has shown that macroeconomic policies influence international trade flows. However, there is limited empirical evidence on the effect of macroeconomic policies on trade efficiency. The few existing studies on this topic have also used estimation techniques that depict efficiency as being drawn from an average level of trade and not the optimal level of trade, as well as also not separating the effects of inefficiencies from the statistical noises. This, therefore, creates a knowledge gap that this study aims at investigating by using the stochastic frontier gravity model (SFGM), to determine the effect of Kenya’s macroeconomic policies on its trade efficiency within the EAC. The study used annual panel secondary data for the period 2000 to 2021. This study finds that the GDP of Kenya and that of its EAC trading partners, the geographical distance and border significantly affects trade volume. It also finds that globalization plays a significant role in influencing Kenya’s trade. For the inefficiency model variables, exchange rate depreciation was found to significantly increase trade efficiency, while increase in tariff rate had an adverse and significant effect. Further, the study included corruption as a control variable and found that it significantly increases trade inefficiency. Kenya, though trading at an average efficiency level of 86.91 percent, was found to have high unexploited trade potentials within the region especially with Tanzania and Uganda. The study recommends that Kenya’s policymakers deliberately advance the macroeconomic policies that promote trade efficiency while at the same time closely monitor the ones that hinder efficiency.

Sources of Technical Inefficiency for Smallholder Field Pea Producers in Ethiopia

This study intended to measure the technical efficiency and sources of inefficiency for field pea producers in Ethiopia. The study used primary data collected from 207 smallholder farmers. A multi-stage sampling technique was followed to select sample households. A stochastic frontier was the model used, and a single-step estimation approach was followed. The result indicated that the mean technical efficiency is 49.23 %, and the average productivity of the crop is 0.96 tons/hectare. This indicates that the technical efficiency could be increased by 51.77 % through proper utilization of production variables, i.e. agrochemicals, oxen power, plot size, and seed rate. The inefficiency model result also confirmed that the technical inefficiency of field pea production was negatively affected by access to off-farm income, access to credit services, extension contacts, adoption of new technologies, access to training, and participation in contract farming of the crop. Therefore, this study recommends agricultural policies favoring vocational training to farmers on the new agricultural technology packages, availing access to off-farm incomes, facilitating credit services to farmers, and establishing legal frameworks that encourage contract farming.

Frontier model of the environmental inefficiency effects on livestock bioeconomy.

This work was focused on measuring environmental inefficiency in Mexican dairy farms, considering climate change variables related to the emission of greenhouse gases (GHG) and planetary geomagnetic activity. The applied methodology measures the eco-efficiency of Mexican dairy farms using the empirical application of a stochastic frontier model of the bioeconomy. The productive sector of the bioeconomy studied was the eco-intensification of the livestock production system (dairies). The environmental inefficiency effect was assumed to be a distribution-independent truncation of a normal distribution with constant variance, while the mean was a linear environmental function of the observable variable. The results showed that the coefficients of the frontier model were highly significant, highlighting the investment in livestock (50%). The inefficiency model had an impact on climate variation with greenhouse gas emissions CH4 (1.96%). The results of the environmental technical efficiency in geometric average were 81.28%. The producers that reached the border with a technical efficiency equal to 1 are the references for the rest, marking the relative technical efficiency. It was concluded that the coefficients in the model were very significant, showing the level of investment in livestock (50%). The low-performance model estimates the impact of climate change on GHG emissions CH4 (1.96%) explaining the trend of increasing GHG emissions, keeping in view that the management of food and cattle during the study period were affected by summer feeding, which allowed considering the activity of GHG emissions. According to the results, the geometric mean environmental performance of engineering is 81.28%.

Selective genetic algorithm labeling: A new data labeling method for machine learning stock market trading systems

Investing in the stock market involves high risks and equivalent returns. Many investors tend to be loss averse and suffer significant losses due to information asymmetry and emotion-based investing. In order to minimize such losses, various studies are attempting to predict the stock market's future and automate investment decisions. However, the stock market is affected by many factors and poses a challenge in prediction. Also, many researchers who develop stock trading systems are interested primarily in improving prediction model performance. Particularly, most studies set up-down labels in the data labeling phase. However, up-down labeling views all stock price fluctuations as identical, resulting in inefficient model training by including substantial noise in the learning data. Therefore, this study proposes SGA (Selective Genetic Algorithm) labeling to overcome such concerns. A trading system was developed using the proposed method, and a machine learning model and ensemble method supported the label prediction phase. The proposed trading system was analyzed empirically with 38 NASDAQ stocks and 33 KOSPI stocks, and a comparative experiment with up-down labeling method was conducted. In this study, SGA labeling performance exceeded that of up-down labeling. Additionally, instance selection and ensemble methods affected the trading system's performance.

EFFECTS OF CLIMATE CHANGE ADAPTATION STRATEGIES ON MAIZE PRODUCTION EFFICIENCY IN OTUKPO LOCAL GOVERNMENT AREA OF BENUE STATE, NIGERIA

The study examined the effects of climate change adaption strategies on maize production efficiency in Otukpo Local Government Area of Benue State, Nigeria. Multi-stage sampling procedure was employed to select 100 respondents for the study. Data were collected with the aid of structured questionnaire and analyzed using descriptive statistics and Stochastic Frontier Analysis (SFA). The results revealed that maize farmers were in their productive age with mean age of 31years. Majority (55%) of the maize farmers were married. The average household size, farm size and years of farming experience were 6 persons, 2.5 hectares and 8 years of experience in farming, respectively. The result on the climate change adaptation strategies used by the maize farming households revealed that most of the farmers adopted adjustment Improved/multiple varieties (17.6%), multiple planting dates (18%) and fertilizer application (20.6%) as climate change adaptation strategies in the study area. The result of predicted Stochastic Frontier model showed that the minimum and maximum technical efficiencies (TE) of the maize farmers were 0.11 and 0.98, respectively, with the mean efficiency of 0.88. This showed that if the efficiency of resources usage is increased by 12.0 percent, the maize farmers would operate on the production frontier given the existing technology. The result on the influence of climate change adaptation strategies used by maize farmers in the study area further revealed that the coefficient of farm size, fertilizer and agrochemicals had positive relationship with the value of maize output at P≤0.05, P≤0.10 and P≤0.01 levels, respectively. The result of the inefficiency model revealed that improved/multiple varieties and fertilizer application increased inefficiency of maize production at P≤0.05 and P≤0.10 levels, respectively, while alternative tillage practices decreased inefficiency of maize production at P≤0.01 level. The study concluded that maize production in the study area was not optimally efficient. The study recommended that farmers should be provided with credit facilities to help improve their capacity to adapt to climate change. Also, development partners should focus on awareness creation of farmers on better production techniques and climate change adaptation strategies through mass media and agricultural extension.

Power, knowledge, and being: the emergence and persistence of coloniality in Libya

ABSTRACT This article contributes to the debate on coloniality (Quijano 2000a, b) by analysing the case of Libya, an Italian colony from 1911 to 1943. It demonstrates how the triple form of domination – ontological, epistemological and political-military-administrative – to which Libya was subjected during Italian colonisation, has survived its end and persists to this day in the relations between Libya and the Western world. From an ontological perspective, the Italians developed a racist representation of the Libyans, which was both the cause and the consequence of a conscious disregard of its specificities. Today, domination endures in the label attributed to Libya as a ‘failed state’, along with a general disinterest in the complexity of its history and society. From an epistemological perspective, the production of knowledge about Libya was dominated by Western scholars. This led to a Western perspective in which the agency of the Libyans was often neglected and to the spread of analytical and conceptual frameworks that serve the imperialistic claims of Western powers. Some of these colonialist analytical frameworks still exist in academia today. From a political-military-administrative perspective, the tendency of the Italians to exacerbate internal divisions while simultaneously imposing an inefficient model of a unified state remains relevant. This article makes two contributions: it is a case study and a theoretical one.

Research on Export Sophistication, Efficiency, and Potential of Agriculture Product Trade between South Korea and RCEP Countries: Based on the Stochastic Frontier Gravity Model

Purpose - This study examines the structure of agricultural export sophistication, export efficiency, and the potential of South Korea’s agricultural products for Regional Comprehensive Economic Partnership (RCEP) countries. Design/Methodology – This study evaluates the agricultural export sophistication of RCEP countries and investigate export sophistication’s effects on the efficiency and potential of South Korea’s agricultural exports to RCEP countries. To this end, we construct a stochastic frontier gravity model (SFGM) based on panel data of agricultural product trade and other factors that impact agricultural imports and exports between South Korea and 36 countries from 2001 to 2020. Using this “one-step method” trade inefficiency model, we evaluate the impact of export sophistication on export efficiency and potential and calculate trade efficiency and potential. Findings – The results reveal a growing trend in the structure of global and RCEP countries’ agricultural export sophistication where the export sophistication of the target countries positively impacts Korea’s agricultural exports to those nations. In addition, RCEP member countries accounted for 50% of the top ten countries in the 2020 trade efficiency ranking, and the average trade efficiency of RCEP member countries show an upward trend. Originality/value - South Korea is geographically close to most RCEP countries, which facilitates agricultural trade. Moreover, there are significant differences in climate conditions and resource endowments between South Korea and most RCEP countries, providing opportunities for expanding agricultural trade with these nations. This study contributes to the extant literature by further exploring the trade efficiency and potential of Korea’s agricultural exports to RCEP countries by considering export sophistication as an important potential factor affecting the competitiveness of Korea’s agricultural exports and analyzing the relationship between the structure of export sophistication and the trade efficiency of Korea’s agricultural product exports to RCEP members.

Technical Efficiency of Handloom-based Micro-enterprises in Assam, India: A Stochastic Frontier Analysis

Improving technical efficiency is one of the most effective ways to boost output in any manufacturing process. The efficiency level of enterprises can be improved by identifying their sources of inefficiency. The present article examines the technical efficiency and tries to identify the factors causing technical inefficiency in handloom-based micro-enterprises in Assam. The article used primary data and collected from 312 micro-level handloom enterprises spread across four districts of Assam. The stochastic frontier production with an inefficiency effects model is used for the purpose of analysis. Labour, capital and material inputs are found to be significant and labour is the most effective factor for increasing of output level. The mean technical efficiency of overall enterprises is 0.67 and a wide variation in the level of technical efficiency among the sample handloom enterprises is observed. Inefficiency model shows that a high yarn capital ratio, lower product diversity, entrepreneurs with training, a higher number of employees and adoption of promotional practices tend to reduce the technical inefficiency of the handloom enterprise significantly.

Technical Efficiency Analysis of Small-Holder Maize Farmers in Ondo State, Nigeria.

The study was carried out to examine the technical efficiency of small holder maize farmers in Ondo State, Nigeria. The specific objectives were to determine the efficiency level of the maize farmers in the study area, identify the determinants of maize production in the study area and identify the factors influencing farmers level of inefficiency in the study area. Multistage sampling procedure was used in selecting for the study. The Cobb Douglas functional form of the Stochastic Frontier Model (SFM) was employed to achieve the study’s objectives. The Maximum Likelihood Estimate of the SFM revealed that farm size, seeds, labour, and fertilizers were significant at 1%, 5%, and 10% levels of significance, respectively. The results also indicated that the technical efficiency (TE) scores of farmers ranged from 0.152 to 0.859, with an average efficiency of 0.709. Additionally, the study revealed that age, household size, and extension contacts in the inefficiency model were significant at 1%, 5%, and 10% levels of significance. It was concluded that the farmers were not operating at maximum efficiency, with an average efficiency improvement potential of 29.1% needed for them to operate at full capacity. It was recommended amongst others that policies by relevant stakeholders should be aimed at enabling farmers to access larger plots of land and high-quality seeds through land reforms and seed subsidies.

The Determinant of Profit Inefficiency of Soybean Producers in Niger State, Nigeria

This research work examined the determinants of profit inefficiency of soybean producers in Niger State of Nigeria. Multi-stage sampling method was used to sample 216 respondents for the purpose of this research work. Primary data were taken on respondents’ socio-economic factors, cost and return and determinants of profit inefficiency of soybean producers with the use of a questionnaire. The data collected were analyzed with means, frequency counts, percentages, cost and return analysis, stochastic profit frontier and profit inefficiency (SFPF) model. The gross margin was found to be ₦859,376.55 and profit efficiencies of soybean producers in the study area varied from 11.0% to 100.0% with a mean value of 80.4%. Farmland and seed affected soybean profit positively while herbicide and labour affected soybean profit negatively. Producers’ age and access to credit facilities were the major determinants of profit inefficiency. This study concluded that soybean farmers in the area of study were profit inefficient in soybean production. The study recommended that adult and extension education, workshops and seminars should be encouraged and made free among soybean farmers and that Young and experienced farmers should be encouraged to engage in soybean production by providing basic incentives such as credit facilities at low interest rate to increase the profit efficiency of producers.

Determining the Technical Efficiency of Potato Farms and Influencing Factors in Bamyan Province

Considering the limitation of resources in agriculture, the need to shift the method of higher productivity through increasing inputs into improving the technical efficiency is becoming more important. Since potato production is one of major agricultural activities in Bamyan province which supports the livelihood of the majority of the peasant community and more thane50% of the country’s total potato production is produced here, the province has the most prominent position compared to other provinces in this regard. The current study aimed to determine the technical efficiency of potato farms and the influencing factors in Yakawlang district and Bamyan center. The required were collected using stratified sampling method by filling questionnaires with 286 potato farmers in 2019. To determine the technical efficiency of potato production, Cobb- Douglas stochastic frontier production function along with inefficiency function were applied. The results showed that the inputs such as area under cultivation, labor force, amount of seed, amount of DAP fertilizer and animal manure had positive and significant effects on potato production. The mean of technical efficiency was 71.5% varying from the lowest of 26.9% to the highest of 92.7% was calculated. the inefficiency model also revealed that the variables marital status, living area, meeting with the extension workers year-round and satisfaction from the sale method of potato had positive effect on the level of technical efficiency of potato farmers. Based on the results, the qualitative and quantitative betterment in extension training programs coupled with DAP fertilizer and animal manure can be the managerial measures.

Assessing Technical Efficiency in Malaysian Pineapple Farms: A Stochastic Frontier Analysis Approach

Pineapple cultivation proves to be a significant component of Malaysia's agricultural sector. This research was aimed at quantifying technical efficiency of Johor small-scale pineapple agriculturists. Stochastic Frontier Analysis (SFA), a statistical method used to estimate production or cost frontiers, was the preferred method for this purpose. This approach was also used to identify key elements, such as socio-economic characteristics, that influence technical implementation in pineapple farms. A total of 290 pineapple growers participated in the study, and data was collected between 2019 and 2021 during the growing season. The mean observed score of 0.681 is an indication of agriculturists non- maximum efficiency operation activity. However, the inefficiency model showed that aspects such as agricultural experience, extension visits, and participation in workshops significantly reduced inefficiency. The main problem in production points to suboptimal farming applications: agriculturists abstain from using all available agricultural inputs to achieve maximum production. The findings of the study emphasise the need for agriculturists’ proficiency refinement and upskilling in pineapple cultivation agrarian andragogy.
 Keywords: stochastic frontier analysis, technical efficiency

Profit Efficiency among Dairy Farmers in Southern India: An Application of Stochastic Frontier Profit Function.

Background: Dairy farming has emerged as an important profitable enterprise in India as it is a source of income, especially for small and marginal farmers;the study aims to understand the reasons for increased profit of dairy farmers of South Indian states. Methods: The present study was undertaken in Southern Indian states during 2020-21 to estimate the profit efficiency of milk producers across different herd-size categories. Result: Maximum likelihood estimates (MLE) of specified profit function revealed that overall, prices of green fodder (0.1873), prices of concentrate (0.1072), veterinary service rate (0.0569) and herd size (0.7545), had a positive and significant impact on normalized profits, whereas prices of dry fodder (-0.0277) and labour wages (-0.1652) had a negative and significant impact on normalized profits, respectively. Overall, the mean profit efficiency of dairy farmers was found to be 58.65 per cent indicating 41.35 per cent of profit efficiency was lost due to technical and allocative inefficiencies in milk production. Results from the profit inefficiency model revealed that overall, education, herd size, herd composition and experience in dairy farming had a negative and significant impact on profit inefficiency.

Efficiency in Uganda’s seed potato systems

PurposeThis paper aims to examine the level of economic efficiency and factors that influence economic efficiency among seed potato producers in South-western Uganda.Design/methodology/approachThe paper analyses the economic efficiency of 499 informal and 137 formal seed producers using primary data collected through a structured questionnaire. A multi-stage sampling technique was used to select the study sites and specific farmers. A one-step estimation procedure of normalized translog cost frontier and inefficiency model was employed to determine the level of economic efficiency and the influencing factors.FindingsThe results showed that mean economic efficiencies were 91.7 and 95.2% for informal and formal seed potato producers, respectively. Furthermore, results show significant differences between formal and informal seed potato producers in economic efficiency at a one percent level. Market information access, credit access, producers' capacity and experience increase the efficiency of informal while number of potato varieties, market information access and producers' experience increase economic efficiency for formal counterparts.Research limitations/implicationsMost seed potato producers, especially the informal ones do not keep comprehensive records of their production and marketing activities. This required more probing as answers depended on memory recall.Practical implicationsFuture research could explore panel data approach involving more cropping seasons with time variant economic efficiency and individual unobservable characteristics that may influence farmers' efficiency to validate the current findings.Social implicationsThe paper shows that there is more potential for seed potato producers to increase their economic efficiency given the available technology. This has a direct implication on the economy through increased investment in the production and promotion of high yielding seed potato varieties to meet the growing national demand for potatoes.Originality/valueThe paper bridges the gap in literature on economic efficiency among seed potato producers, specifically in applying the normalized translog cost frontier approach in estimating economic efficiency in the context of potato sub-sector in Uganda.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-10-2021-0641

The characteristic and potential of green trade between China and regional comprehensive economic partnership countries

This paper analyze the characteristics of green trade between China and Regional Comprehensive Economic Partnership (RCEP) countries from 2001 to 2020, and then adopts a stochastic frontier gravity (SFG) model and trade inefficiency (TIE) model to analyze the trade potential and the influencing factors of green trade between China and RCEP countries. The main conclusions are as follows: the green trade value continues to grow, with Japan and South Korea as the main green trade partners. The competitive advantage of Chinese green products and the complementarity of RCEP countries towards Chinese green products are both increasing. Per capita GDP, population of RCEP countries promote the green trade, while the geographical distance hinders green trade. In the item of TIE, governance ability and economic freedom promote the efficiency of green trade, while differences in environmental regulation and tariff rate hinders trade efficiency. At present, China has significant green trade potential with RCEP countries. The efficiency of green trade between China and Japan, South Korea, Singapore, Vietnam, and Australia is relatively low. China should actively tap into the demand for green trade and further develop the potential of green trade.