Big Data Analysis of e-Commerce Efficiency and Its Influencing Factors of Agricultural Products in China

At present, the e-commerce industry of agricultural products plays a pivotal role in promoting income growth and helping rural revitalization. This paper collected relevant data in the recent 8 years (2012 to 2019) and used the DEA model and Tobit model to analyze the correlation degree between the efficiency and various influencing factors in China. DEA analysis results show that, in recent years, three efficiencies are quite different: the comprehensive efficiency and scale efficiency show an upward trend, while the pure technical efficiency remains at a high level. Tobit model results show that the number of urban Internet users, rural Internet users, logistics practitioners, the development of national economy are negatively correlated with e-commerce efficiency; the length of traffic construction has no significant correlation; the level of agricultural mechanization has a significant positive correlation. Hence, the paper puts forward four suggestions.

Assessing Energy Efficiency for Economic and Sustainable Development in the Region of European Union Countries

The objective of this research is to estimate the energy-saving intensities of nations within the European Union, applying varied equations of the DEA analysis, such as the DEA, modified radial equation, Russel dynamic envelope analysis, and the adjusted Russel Dynamic envelope Analysis, throughout the period of 2010–2018. Unlike other studies, this analysis seeks to unravel whether European nations are effective in increasing the EE finance of their respective economies. Because the European Union not only has geographical ties between regions, it is also a collection of interests of various sovereign states, its energy exhibits efficiency changes under the relationship of competition and cooperation under that economic effect. Regarding this circumstance, different dynamic envelope evaluations were formulated. One primary finding is that nations such as Germany, Sweden, or Austria attain robust ecological safeguard performance, seem to be using less energy, and are ecologically efficient relative to other nations such as Denmark, Belgium, Spain, France, or Ireland. Furthermore, a group of Eastern EU nations attained reduced efficiency marks, which could be categorized as anticipated, as a result of reduced technological implementation within the principal manufacturing sectors. The main result of this study is that few nations are performing in terms of efficiency. Additionally, RE (Renewable Energy) power production expands as nations’ dynamic envelope analysis marks and creates inefficient governments nearer to the efficiency frontline. Inversely, the presence of peak-time power consumption reduced the dynamic envelope analysis marks and increased the distance from the Frontier of efficiency (the optimal value of efficiency).

Construction of Spatiotemporal Difference Image of the Impact of Financial Structure on China’s Total Factor Productivity

My country’s current research on the influencing factors of total factor productivity has problems such as single evaluation method, low efficiency, and poor overall level in terms of evaluation methods and evaluation efficiency. Based on this, this study divides the financial structure into three traditional sections, banking, securities, and insurance, and uses the DEA model to study the temporal and spatial differences of the financial structure’s influence on the total factor productivity of the four major political and economic regions of China’s eastern, western, central, and northeastern China. First, establish a DEA model based on data mining algorithms, combine financial data comparisons over the years, to achieve a quantitative analysis of the financial structure’s impact on China’s total factor productivity, calculate financial efficiency, and then combine the DEA analysis data model with the grey correlation method. Analyze its internal influence rules, and design experiments for model verification analysis. The results show that the DEA analysis model can realize 8 iterations of data on the impact of financial structure on China’s total factor productivity, and its evaluation accuracy can reach more than 96.2%.

A slack-based DEA analysis for the world cup teams

Purpose This paper aims to assess the efficiency levels of World Cup teams via the slack-based data envelopment analysis (DEA) approach, which contributes to filling an important gap for performance measurement in football. Design/methodology/approach This study focuses on a comparative analysis of the past two World Cups. The authors initially estimate the efficiency of the World Cup teams via the slack-based DEA approach, which is a novel approach for sports performance measurement. The authors also present the conventional DEA results to compare results. The authors also include improvement ratios, which provide significant details for inefficient countries to enhance their efficiency. Besides, the authors include effectiveness ratings to present a complete performance overview of the World Cup teams. Findings According to the analysis results of the slack-based DEA approach, titleholder Germany and France are found as efficient teams in the 2014 and 2018 World Cup, respectively. Besides, Belgium and Russia recorded the highest efficiency improvement in the 2018 World Cup. The novel approach for sports performance measurement, the slack-based DEA approach, significantly overlaps with the actual performance of teams. Originality/value This study presents novelty in football performance by adopting the slack-based DEA with an undesirable output model for the performance measurement of the World Cup teams. This empirical analysis would be a pioneer study measuring the performance of football teams via the slack-based DEA approach.

TECHNICAL EFFICIENCY OF ORGANIC RICE IN SUMBERNGEPOH VILLAGE, LAWANG SUB DISTRICT, MALANG DISTRICT

Rice plants have a proportion of 6 percent or fifth in the world's classification of organic cereal crops (Research Institute of Organic Agriculture, 2017). The problem in organic rice farming is that production and productivity tend to be lower than those of non-organic rice. In addition to the transition from agriculture to organic farming, the factor of input use also has a big influence. This study aims to analyze the level of technical efficiency and the value of organic rice input. The census sample consisted of 45 organic rice farmers. The data used is data in the 2016-2017 rainy season. The data analysis method uses DEA analysis with the assumption of CRS Input. Based on the results of the analysis, farmers are not yet technically efficient because they have an average technical efficiency value of less than 1, which is 0.879. The number of technically efficient farmers with a TE value of 1 is 13 farmers, while the number of farmers who are inefficient is 32 farmers with a TE value of <1. There are slack values such as seeds 3.15 Kg/Ha, solid organic fertilizer 276.58 Kg/Ha, liquid organic fertilizer 1.07 L/Ha, green manure 505.10 Kg/Ha, vegetable pesticides 1.25 L/Ha, and 6.67 daily workers/ha. In addition, there are projected input values, namely seeds 28.66 Kg/Ha, solid organic fertilizer 2170.30 Kg/Ha, liquid organic fertilizer 10.23 L/Ha, green manure 7048.76 Kg/Ha, vegetable pesticides 9.61 L /Ha, and Labor 185.80 daily workers/Ha. Furthermore, the projected value of this input is a recommendation to farmers so that they can be technically efficient.

Evaluating the efficiency of investments in transport infrastructure in the subjects of the Russian Federation based on the DEA methodology

Subject. The article addresses comprehensive comparative assessment of return on investment in transport infrastructure in the constituent entities of the Russian Federation for 2017–2019, based on the DEA methodology. Objectives. We determine leaders and outsiders among regions, based on the DEA-analysis of investment performance in the transport sector, rank them on the basis of aggregated estimates of comparative efficiency. Methods. The research draws on the methods of systems analysis, mathematical, economic, statistical analysis, decomposition, and aggregation. We employ the data of Rosstat and the Ministry of Transport on constituent entities of the Russian Federation for 2017–2019. Results. The aggregated estimates of comparative efficiency of investments in transport infrastructure, taking into account the variable effect (VRS), have been determined for the first time. We rank the constituent entities of the Russian Federation, depending on the efficiency of investments in transport infrastructure. Conclusions. The performed analysis creates information basis for assessing and improving the regional transport policy, developing and implementing a set of measures, aimed at increasing transport accessibility and highway capacity. The findings may enable to monitor and enhance the efficiency of budgetary spending on transport infrastructure facilities.

DETERMINING EFFICIENCY OF TOURISM SECTOR IN CERTAIN EUROPEAN COUNTRIES AND REGIONS BY APPLYING DEA ANALYSIS

The paper presents research results of efficiency of tourism sector in certain European countries and regions obtained by applying DEA method. The primary goal of the paper is to determine to what extent tourism sector in certain European countries and regions is efficient in relation to set parameters, while the secondary goal is aimed at providing recommendations for its improvement. In relation to this, the methodology of the DEA analysis is based on the input and output parameters which were used to determine the efficiency. The input parameters included: number of hotels and similar accommodation capacities, number of rooms and number of bed places, whereas the output parameters included: number of inbound tourists, number of bed-nights and tourism expenditure during their stay abroad. One of the conclusions of the paper is that the total efficiency was shown in Croatia, Belgium, and Denmark, while the technical efficiency was also present in North Macedonia, France, Malta, the Netherlands, Portugal, and Spain.

Decoupling of Medical Public–Private Partnership Efficiency and Pollution to Improve Public Health: A Three-Stage DEA Analysis

This study investigates the spatiotemporal evolution of the efficiency of medical public–private partnerships (PPPs) and the decoupling of environmental pollution to promote public health, balanced development, and environmentalism. Based on the 2011–2020 data of medical PPPs in China, the results of a three-stage data envelopment analysis (DEA) and decoupling model show that, firstly, the spatiotemporal evolution of PPP efficiency of China in healthcare has forward periodic twists and turns, and alternating peaks and valleys, which fall into two stages: extensive development, and transformation and upgrading. Secondly, this development is either a type of stable, steady or a surge increase. Thirdly, PPP efficiency and environmental pollution show a weak decoupling state. That is, Northeast China (NEC) and Southwest China (SWC) are in a state of increasing connection, whereas Northwest China (NWC) is in an expanding negative decoupling state. The remaining regions are in a weak decoupling state. This study recommends the mode of ecology-oriented development (EOD) to promote a high-quality, integrated development of PPPs in medicine and healthcare that are especially conducive to a “green economy.” There should be a more coordinated development across regions in China as well.