Comparative Study of Artificial Intelligence Techniques for the Diagnosis of Chronic Nerve Diseases

Farming is essential to the long-term viability of any economy. It differs in each country, but it is essential for long-term economic success. Only a few of the agricultural industry’s issues include a lack of suitable irrigation systems, weeds, and plant monitoring concerns as a consequence of efficient management in distinct open and closed zones for crop and plant treatment. The objective of this work is to carry out a study on the use of artificial intelligence and computer vision methods for diagnosis of diseases in agro sectors in the context of agribusiness, demonstrating the feasibility of using these techniques as tools to support automation and obtain productivity gains in this sector. During the literary analysis, it was determined that technology could improve efficiency, hence decreasing these types of concerns. Given the consequences of a wrong diagnosis, diagnosis is work that requires a high level of precision. Fuzzy cognitive maps were shown to be the most efficient method of utilizing bibliographically reviewed preferences, which led to the consideration of neural networks as a second option because this technique is the most robust in terms of the qualifying criteria of the data stored in databases.

Increasing labor income and real unit labor costs in Brazilian agrobusiness

This study analyzes the interactions between per worker labor income (PWLI), labor productivity, real unit labor costs, and the relationship between relevant employee (IPCA) and employers (GDP deflators) prices, specifically focusing on Brazilian agrobusiness. For that purpose, labor productivities of the entire agrobusiness sector and its segments were calculated from 2004 through 2015. We found that the gap between agrobusiness sector deflators and the IPCA did not play a preponderant role to mitigate the effect of PWLI growth of 3.81% annually on real unit labor cost (CURT), which only increased 0.21% annually. In turn, CURT was contained by productivity gains, boosted mainly by agriculture. Without this productivity growth, CURT would have increased at 3.7% annually, thus making unviable the observed simultaneous gains for employers and employees in the Brazilian agrobusiness sector. The result for the primary agrobusiness segment should be highlighted. Even with an annual increase of 4.07% in PWLI, the 7.24% annual growth in productivity implied on an average annual reduction in CURT (-2.56%); without this significant productivity growth, the same increase in PWLI would have boosted CURT by 4.7% annually.

Caribbean Quarterly Economic Bulletin: Volume 10: Issue 3, January 2022

This edition reviews the long-term performance of economic growth and productivity in the region. It then draws on research from the Inter-American Development Banks Connectivity, Markets, and Finance Division that estimates how much investment in digital infrastructure is needed for countries across Latin America and the Caribbean to reach the levels of advanced economies. This research also estimates both the potential economic benefits associated with that investment and its costs, highlighting the potentially large multipliers associated with closing digital infrastructure gaps. The highlights of the analysis are as follows. It is estimated that closing the digital access gap between Caribbean economies and members countries of the Organization for Economic Co-operation and Development (OECD) could potentially increase the regions GDP by about 6 to 12 percent over the medium term, depending on the country. These gains are multiples of the estimated costs, ranging from about 2 times to nearly 50 times those estimated costs. Productivity gains represent about 80 percent of the estimated improvements in GDP. As is typical with the Caribbean Quarterly Bulletin, the Regional Overview is followed by country sections that provide more detailed analysis for each of the countries covered.

China's economy will struggle to halt secular slowdown

Significance Comparisons with two formerly fast-growing Asian neighbours, Japan and South Korea, suggest that China will continue to slow for another decade. Analysis of global growth trends over 50 years points to a strong force of ‘regression to the mean’, meaning that continued high-speed growth is statistically unlikely. Impacts Continued Chinese economic slowing will reduce global demand for resources such as iron ore and coal. Achieving productivity growth will require deepening reforms to increase the role of the market, the private sector and competition. World Bank economists emphasise that imposing stricter financial discipline is a key step to enhancing market-based productivity gains.

Are there dynamic productivity gains from agricultural trade?

PurposeThe primary purpose of this paper is to take an in-depth look at the question of whether liberalizing trade in agriculture can generate dynamic productivity gains comparable to those in the manufacturing sector.Design/methodology/approachIn contrast to the manufacturing sector that has generated firm/plant-level trade data, there is a lack of farm-level trade data that are needed for empirical measurement of dynamic productivity gains. Therefore, the authors use thought experiments to analyze the sequence of events that would occur when trade is liberalized for agriculture; delineate the expected behaviors of the actors involved in the trade and draw inferences about whether there would be dynamic productivity gains from agricultural trade.FindingsThe central finding is that there would be little dynamic gain from agricultural trade at the farm level due to the limited role of producers in shaping their international competitiveness. Yet, agricultural trade may generate dynamic gains if states or input supply corporations respond to the freer trade environment by making more investments for research and development (R&D). Further, when intraindustry prevails, there can be productivity gains at the industry level due to the transfer of resources from less to more efficient farm producers.Originality/valueThe findings of the paper are expected to present insights into value for researchers working in the area of agricultural trade; for agricultural trade policymakers in developing countries and for trade negotiators engaged in reforming or designing World Trade Organization (WTO)’s trade rules for agriculture.

University-industry collaboration importance in innovative brazilian industrial firms: a sectorial model

This article examines empirically the university-industry collaboration (UIC) importance in innovative firms on Brazilian industry. This relation is considered an important tool for economic growth in innovation-led firms. It was used a hierarchical regression model for 25.667 innovative industrial firms in the year 2005, the innovation involves product, process, or organizational change. The Total Factor Productivity was introduced as independent variable, because it can be used in all firms as performance measure, and it was average centralized. The TFP is explained by firm’s internal capabilities, and in industry by the UIC importance. The found results are upward average (positive sign), and downward average (negative sign). The sectorial impact of UIC in the TFP is positive, but near zero. The internal capabilities present exchanged signs between the firm and the industry, only innovative labor have both signs positive. The random effects identify nine industries with upward productivity gains, 8,26 % of total Brazilian industry, and these industries are traditional, low-tech intensity, only the automotive industry is medium-technology. Twenty industries have downward productivity gains, 18,35 % of total Brazilian industry, and between them are high-technology industries, as diverse capital tools, and electronics.

The consequences of US technology changes for productivity in advanced economies

Since at least the mid-2000s, many advanced economies have experienced low productivity growth. This development is often related to declining productivity gains at the technology frontier, which is largely determined by the US. We challenge this explanation by studying the effects of US technology shocks on productivity levels in advanced economies. We find positive but small spillovers of US technology shocks. For many countries, the elasticity of their productivity with respect to a 1% increase in the US technology level is significantly lower than 1. Thus, the recent US productivity slowdown must have had a limited effect on productivity developments in advanced economies. Nevertheless, after 5 years, the degree of productivity spillovers varies across countries. Therefore, we analyze the role of institutions in shaping these results. Our findings suggest that isolated institutional characteristics are not able to explain the observed various spillover degrees.

Large US household balance sheets pose macro risks

Significance An examination of the factors behind the expansion indicates that outsized balance sheets will persist and will pose a number of macroeconomic risks. Impacts Slower workforce growth will pressure GDP growth, trade growth and long-term interest rates, unless productivity gains can offset this. A record number of US business deaths and births in 2020 will affect productivity and have unpredictable impacts on the economy. Lower growth makes it harder to stabilise debt-to-GDP ratios, just as pension and health costs rise as populations age in major economies.

O impacto da meritocracia em empresas de logística durante crises econômicas

Purpose: meritocracy and incentives for innovation are instruments in the search for efficiency and increased productivity. The objective of this work is to demonstrate the correlation between meritocracy and productivity gains that a franchise network presented in a year of economic crisis in Brazil. Design/methodology/approach: the method of qualitative and quantitative approach of this research used experimentation, based on interviews, observation and data analysis. Two groups of companies, which totalized 92 companies and 746 professionals participated of the research. Findings: management based on recognition and reward for employees of a group of companies has shown an increase in productivity of up to 25% in a year of economic recession. In the same period, another group of companies in the same business, but without a meritocracy-based compensation system, achieved a 9% drop. Research limitations/implications: this work suffered from limitations as to the influence of the local economy of each franchise on the results, impacting the comparisons of the groups that participated in the experimental research. Practical implications: logistics companies can use this work to define a meritocratic model that encourages employees to seek innovation in processes and contribute to better operational performance. Social implications: logistics has a strong impact on the competitiveness of companies, from industry to commerce. This work offers visibility of the influence of productivity in logistics companies in the supply chain. Originality/value: this work contributes to the analysis of the influence of meritocracy in people management, especially in times of economic crisis.