This study aims to analyze the development of scientometric research from the theme of urban economic development. The analysis was carried out on 360 articles indexed by Dimension.ai. The method used is scientometric using R Bibliometrix Biblioshiny and VosViewer as processing tools. The results obtained are that this theme has begun to develop significantly in 2020 until now. Research in urban economic development is dominantly published by Chinese authors and affiliates in reputable journals. Research opportunities from urban economic development in emerging themes found the topics of city, innovation, metropolitan, planning, future, and change. This indicates that the potential research themes are in the city planning area which is “innovative”, “future-oriented” and able to “adapt the technology” in “the face of change”. Potential topics in urban economic development were found to have changed from 1964-2013 to 2014-2020 which focused on urban, data, local, contemporary, design and cities. These results can be used as input in compiling research on the theme of urban economic development research and to help researchers find novelty and sustainable impact contributions.

Corn is one of the food crop commodities cultivated in Ciamis Regency, one of which is in the Ciamis Regency agropolitan area. The differences of corn farming productivity at five locations in the agropolitan area which shows the use of production factors is not yet efficient. The research was carried out using a survey method on corn farmers in Panumbangan District which was taken as the research location intentionally (purposive sampling). The population size is 1,545 people and the samples are 94 people is determined using the Slovin formula. Analysis of technical efficiency were analyzed using a stochastic frontier production function, allocative efficiency were analyzed using a cost function where the data analysis used the Front4.1 application. Economics efficiency is combination between technical efficiency and allocative efficiency. The results showed the level of efficiency achieved in corn farming in the agropolitan area of Ciamis Regency were efficient (>0.70), with an average of 0.88 for technical efficiency; an average of 0.81 for allocative efficiency; and an average of 0.72 for economics efficiency

This study aims to determine the effect of economic growth, population, industrialization, energy consumption and fossil fuel consumption of CO2 emissions in G-20 countries. Panel data is used as a data analysis technique in this study. The variables used are based on the concept of the Environmental Kuznets Curve. The Kuznets hypothesis explains that an increase in economic growth reduces inequality and poverty in a certain period of time (or referred to as the turning point limit). This study focuses on the G-20 countries in the 2013-2018 period. Based on the regression results of the CO2 emission variables (CO2), gross domestic product (GDP), energy consumption (KE), population (JP), industrialization (IND) and fossil fuel consumption (BBF) it was found that all independent variables simultaneously (GDP, KE, JP, IND and BBF) have a significant effect on the dependent variable (CO2). Furthermore, partially significant variables that affect CO2 emissions are GDP, JP, IND and BBF, while the variables that have no significant effect on CO2 emissions are only KE. Support and commitment to policies both nationally and regionally are needed to reduce environmental degradation through inclusive economic growth in G-20 countries.

This study aims to maintain the sustainability of traditional shop in Tasikmalaya City. The rapid growth of minimarkets into residential areas, bad for traditional shop so it is necessary to know how its impact and its effect on the traditional shop around it. The specific purpose of this research is to find out the solution for traditional shop remain to survive and do the strategy in its business in the middle of the surrounding minimarket. In addition, this research is expected to be a best model in order to maintain the sustainability of SMEs, especially traditional shop business. The method used is Analytical Hierarchy Process (AHP) method. That is qualitative research aimed at the experts who most know the problems studied. The results show that the best internal solution to maintain the sustainability of traditional shop in the midst of the rampant minimarket is the quality of goods must be maintained, followed by specific characteristic of the shop. While external problems consist of capital support from the financial institutions followed by a Regional Regulation (PERDA) that regulates minimarket hours.