Factor Productivity Research Articles

Economic Growth and Female Participation in the Labour Market: Gender Disaggregated Data

The study aims to examine the impact of economic growth on female labour market participation in Kenya with data spanning between 1991 and 2022. Labour-force data disaggregated by gender are important to monitor the dynamic of gender inequalities in the labour market. The secondary data used to construct the time series was obtained from the World Bank and the International Labour Organization sources. The research was informed by the Feminisation U hypothesis, which describes the tendency of female labour force participation to first decline and then rise in the process of economic growth. The study used a fully modified ordinary least square (FMOLS) and Granger causality test to analyse the long-run effect of economic growth on women's participation in the labour market. The study results indicate that economic growth positively and significantly contributes to women’s participation in the labour market in the long run. Furthermore, the results of the control variables suggest that education has a beneficial effect on women's workforce, while women’s access to the workforce is hampered by male labour market participation, fertility rate, female self-employment and rate of urbanization. The study suggests to policymakers that the strategy to success is to facilitate education, vocational training, and social change that enable women to play the same role as men in the labour market. Finally, women must be in productive sectors and government should remove barriers to ownership of factors of production to encourage them to participate in economic activities and the labour market.

The Level of Importance of the Four P’s by the Customers of Shell, Petron, and Chevron Stations in General Santos City

Consumer-centric companies focus their resources on developing products and establishing strategies that satisfy customers’ needs and wants. The efforts involved in determining customers’ desires require rigorous analysis because of customers’ heterogeneity. Cost leadership, one of the three generic competitive strategies, aims to increase profit by reducing the cost of production and offering a competitively priced product. This strategy is effective in maximizing the limited resources of the company. In relation to the three generic competitive strategies, there are factors that affect customers’ decisions. The factors that affect customers’ preferences are location, brand, behavior, values, product attributes, quality, price, promotion, and perception. This study focused on the four significant factors, which are the Four Ps: product, price, place, and promotion. Respondents, who are customers of Shell, Petron, and Chevron fuel stations in General Santos City, evaluated the level of importance of the Four Ps. A sample size of 120 respondents was chosen to answer the validated questionnaires. A descriptive-quantitative research design and stratified sampling methods were applied in the study. Microsoft Excel and IBM SPSS were the software used to analyze and interpret the data. The findings indicate that the place factor and the promotion factor, among the four factors, have the highest and lowest means, respectively. According to the respondents, price information and brand are very important, since they have the highest mean in price and product factors. The analysis of the Kruskal-Wallis H Test indicates that there are no significant differences in the level of importance of the four Ps among Shell, Petron, and Chevron stations in General Santos City as evaluated by the respondents.

Associations among neighborhood walkability, metal exposure, and sex steroid hormone levels: Results from Hangzhou Birth Cohort Study Ⅱ

BackgroundNeighborhood walkability may influence maternal-fetal exposure to environmental hazards and maternal-fetal health (e.g., fetal growth restriction, reproductive toxicity). However, few studies have explored the association between neighborhood walkability and hormones in pregnant women. MethodsWe included 533 pregnant women from the Hangzhou Birth Cohort Study II (HBCS-II) with testosterone (TTE) and estradiol (E2) measured for analysis. Neighborhood walkability was evaluated by calculating a walkability index based on geo-coded addresses. Placental metals were measured using inductively coupled plasma mass spectrometry (ICP-MS). TTE and E2 levels in umbilical cord blood were measured using chemiluminescence microparticle immunoassay (CMIA). Linear regression model was used to estimate the relationship between the walkability index, placental metals, and sex steroid hormones. Effect modification was also assessed to estimate the effect of placental metals on the associations of neighborhood walkability with TTE and E2. ResultsNeighborhood walkability was significantly linked to increased E2 levels (P trend=0.023). Compared with participants at the first quintile (Q1) of walkability index, those at the third quintiles (Q3) had lower chromium (Cr) levels (β = −0.212, 95% CI = −0.421 to −0.003). Arsenic (As), cobalt (Co), manganese (Mn), molybdenum (Mo), nickel (Ni), lead (Pb), antimony (Sb), selenium (Se), tin (Sn), and vanadium (V) were linked to decreased TTE levels, and cadmium (Cd) was linked to increased TTE levels. No metal was significantly associated with E2 levels in trend analysis. In the analysis of effect modification, the associations of neighborhood walkability with TTE and E2 were significantly modified by Mn (P = 0.005) and Cu (P = 0.049) respectively. ConclusionNeighborhood walkability could be a favorable factor for E2 production during pregnancy, which may be inhibited by maternal exposure to heavy metals.

Seed Production in Jalandhar

A key factor in agricultural resilience, crop diversity, and productivity is seed production—particularly in areas like Jalandhar that must meet changing market demands and climate change. This project explores the complexities of seed production in Jalandhar and how it affects agricultural development with the goal of educating researchers, policymakers, and agricultural stakeholders on how to support sustainable seed production systems. Located in the rich plains of Punjab, Jalandhar has become a major centre for the production of seeds, especially for pulses, wheat, and rice. The region's favorable soil and climate, together with cutting-edge farming techniques, are what propel the expansion of the seed business. With the growing use of hybrid and genetically modified seeds, government programs encouraging agricultural output, and growing farmer awareness of the advantages of high-quality seeds, Jalandhar has a huge market potential for seed production. Nevertheless, in order to fully realize the potential of this industry, stakeholders must work together and implement strategic interventions in response to issues including volatile market pricing, restricted financial availability for small-scale farmers, and environmental sustainability concerns. The sector's growth trajectory is further aided by the existence of well-established agricultural research institutions and government policies that are supportive of the industry, providing growing opportunities in both domestic and foreign markets High-quality seeds improve crop yields while also contributing to overall sustainability and profitability in farming operations. Agro-ecologically-suited certified seeds are essential for reducing the danger of pests, illnesses, and unfavorable weather. Encouraging and supporting sustainable seed production systems in Jalandhar benefits all related departments and financial institutions by promoting agricultural development, economic success, and food security. Keywords : Seed production ,Agricultural development ,Market potential ,Sustainable seed systems ,Government initiatives ,Economic prosperity.

Design and fabrication of polygonal grating waveguide display with full-color 2D eye-box expansion

Over the past few decades, the surface relief grating (SRG) based waveguide display technology has attracted significant interest in the augmented reality community due to its light weight, small form factor and ease of mass production. However, the intuition grating structure restricts the optimization freedom which limits the display quality of full-color SRG waveguide. To address this issue the 2D polygonal grating is presented since it has a higher freedom degree in optimizing color uniformity compared to intuition grating structure. By using the 2D polygonal grating we also proposed a design approach of full-color SRG waveguide with hierarchical optimization method. To validate this design, a 2D polygonal grating-based waveguide composed of double layers waveguide was fabricated by using EBL and nanoimprinting technology. The final experimental results show that the 2D eye-box expansion (EPE) waveguide has a field of view (FOV) of 40°, an eye-box of 15 mm × 12 mm, at an eye relief (ERF) of 25 mm, and the overall luminance uniformity is 60 %.

Nickel iron mining slag and soil acidity correction

Soil acidity is one of the limiting factors of agricultural production most commonly reported in oxidic soils, such as Oxisols often found in the Brazilian Cerrado regions for example. The dredging is the most efficient management practice in the correction of soil acidity and increase of base saturation levels. The nickel iron mining scora is a residue that has relevant amounts of magnesium silicate, and may have neutralization capacity of soil acidity. Therefore, the objective of this work was to value the potential of magnesium silicate as a soil acidity corrective. The experimental design used was completely randomized, arranged in a 2x5x5 factorial scheme with twelve replications, where the 1st factor consisted of two hatching dates, 30 and 60 days, the 2nd factor consisted of five doses of mining slag: 0, 90, 120, 150 and 180 Mg ha-1, and the 3rd factor consisted of five doses of dolomític limestone: 0, 90, 120, 150 and 180 Mg ha-1. The mining slag did not present soil pH neutralization power under the evaluated conditions. However, it presented potential for neutralization under conditions of lower granulometry and greater solubilization.

Urinary tract infections in older adults: associated factors for extended-spectrum beta-lactamase production

ObjectiveUrinary tract infections (UTIs) due to extended-spectrum beta-lactamase (ESBL) producing Escherichia coli and Klebsiella pneumoniae are among the leading causes of morbidity and mortality in older adults. Identifying associated factors for ESBL production may contribute to more appropriate empirical treatment.Materials and methodsThis was a prospective observational study. Hospitalized patients of age > 65 with community-onset or hospital-acquired upper UTI due to E. coli or Klebsiella pneumoniae were included. A multivariate analysis was performed.ResultsA total of 97 patients were included. ESBL prevalence among UTIs with E. coli or Klebsiella pneumoniae was 69.1% (n = 67). CRP values at the time of UTI diagnosis were found to be significantly higher in the ESBL-producing group (p = 0.004). The multivariate analysis revealed that male gender (OR: 2.72, CI: 1.02–7.25), prior recurrent UTI (OR: 3.14, CI: 1.21–8.14), and the development of secondary bacteremia (OR: 4.95, CI: 1.03–23.89) were major associated factors for UTI in older adults due to ESBL-producing E. coli and Klebsiella pneumoniae.ConclusionSevere UTI in older men with a history of recurrent UTI may be a warning to the clinician for ESBL production in the setting of high ESBL prevalence. Carbapenems may be prioritized in the empirical treatment of patients with known risk factors for ESBL.

Methodological bases for balanced development of the food supply of the population

A retrospective analysis of the economic theories of marginal utility, general economic equilibrium, spatial economics, production factors, and organization theory was carried out from the position of forming the methodological basis for the emergence of the theory of balanced development of food supply for the population. The substantive aspects of the critical concepts of the identified theories are detailed in their influence on the formation and formation of the methodology for food supply to the population, including maintaining a balanced and equilibrium state in the conditions of continuous influence of external factors on food systems. For each identified theory, provisions have been established that determine the relationship with the methodology of the area under study. It has been established that the emergence of the theory and methods of balanced development of food supply for the population is a natural stage in the evolution of economic science in the context of increasing the role and importance of man in the modern economy. The methodological grounds identified are the need to achieve and maintain a balanced human diet, ensure coordination and maintain a balance of social and economic interests of consumers and food producers, ensure a balanced state of food production and consumption, maintain a balance of resource capabilities and future food needs of people, prevent the emergence of imbalances in the food sector. The work results can be used to develop new conceptual frameworks for developing the domestic agro-industrial complex and allow us to form a more holistic and detailed understanding of the specifics and features of achieving balanced agri-food sector development.

Do Factor Misallocations Affect Food Security? Evidence from China

The reasonable allocation of grain production factors is of vital importance to food security and agricultural development. To assess the impact of agricultural factor misallocation on food security, this paper, based on the panel data from China spanning from 2005 to 2019, conducted a comprehensive evaluation of agricultural factor misallocation and food security coefficients across 31 provinces in China, using a spatial Durbin model to examine the effects of factor misallocations on food security. The findings are as follows: (1) Production factor misallocation has significant negative impacts on food security, among them, capital misallocation and labor misallocation inhibiting food security in the local and neighboring areas, and land misallocation has a significant negative impact on food security in local areas, while its spatial spillover effect is no longer significant. (2) Mechanism analysis shows that capital misallocation and labor misallocation hinder the development of transportation infrastructure and the transfer of rural labor, thereby reducing food security. Land misallocation has accelerated the construction of transportation infrastructure, promoted the migration of rural labor, and helped ensure food security. (3) The regional heterogeneity test reveals that capital misallocation and labor misallocation hinder food security in major grain-producing areas and both sides of the Hu Huanyong Line (Hu Line). Meanwhile, land misallocation hinders food security development in various grain-producing areas, as well as the southeast of the Hu Line. Based on the above conclusions, this paper proposes suggestions to improve the efficiency of land and labor resource allocation, accelerate the construction of transportation infrastructure, and encourage the transfer speed of surplus agricultural labor.

Labor differentiation and cotton productivity in Burkina Faso

AbstractAgriculture is a very important sector in Africa's economic development, particularly in Burkina Faso, as it employs a large proportion of the population. Given the importance of labor in this sector, a good allocation of the different types of labor could help increase agricultural productivity in Burkina Faso. This research contributes to the literature by determining the specific contributions of each type of labor in enhancing cotton productivity. The sample of this research is 477 cotton farms, and a semiparametric stochastic frontier model has been used in the analysis. The results show that the proportion of wage labor has a nonlinear effect and contributes to improving cotton productivity when the number of educated people in the household increases. But family labor decreases cotton productivity when the number of educated people in the household increase. The comparison between the findings of the semiparametric and parametric frontier shows that technical efficiency is 72.44% when education is used as the channel through which production factors affect cotton productivity. However, this technical efficiency is 54.96% when production factors directly affect cotton productivity in the parametric frontier model. Promoting education in rural areas will help to increase the number of people educated and consequently improve cotton productivity.

Farm digital tools: A systematic review of investments and environmental implications

Farm-level investment in digital tools is often viewed as a necessary part of the agroecological transition. However, its actual relevance remains unclear due to currently ambiguous definitions of farm investments in general and equipment investments in particular. We conducted a systematic review of the farm investment literature to characterize the different categories of digital tools investments seen and to determine how often the environment is considered in this field of research. A total of 131 articles met our eligibility criteria and were subject to further analysis. First, we found that research on farm investments has looked at general farm investments, investments in combined factors of production, and investments in specific factors of production. Second, we discovered that there are four main investment categories for farm equipment (including digital tools). Third, we noted that few studies have addressed the environmental implications of investing in digital tools. Our findings emphasize that, to facilitate the agroecological transition, it will be important to promote broader strategies that encourage farmers to invest in digital tools.

Agromet Advisories to Mitigate the Effects of Aberrant Weather in Himachal Pradesh

Weather is a pivotal factor in agricultural production, influencing crop growth, disease and pest occurrences, water and fertilizer needs, and the effectiveness of cultural and preventive measures. Extreme weather events can cause physiological stress, physical damage, soil erosion, and crop quality degradation. In India, agriculture's vulnerability to adverse weather is a significant concern, with natural disasters like floods, droughts, and cyclones leading to crop failure, food insecurity, and economic impacts. To mitigate these challenges, Agrometeorological Advisory Services (AAS) play a crucial role in providing farmers with weather-based advisories to manage agricultural risks. The Integrated Agro-Meteorological Advisory Service (IAAS), run by the Indian Ministry of Earth Sciences and the India Meteorological Department (IMD), offers district-level weather forecasts and agromet advisories to support farmers in adapting to weather fluctuations. These advisories cover various weather-related risks, including cold injury and frost, high temperatures, wind damage, hailstorms, and floods. Sample advisories suggest measures like irrigation for frost protection, mulching to reduce heat stress, and shelter belts to mitigate wind damage. Effective dissemination of advisories involves communication through electronic media, Krishi Vigyan Kendras (Agriculture Science Centres), and Kisan (Farmer) Call Centres. Thrust areas for enhancing AAS include improved scientific understanding, advanced monitoring and prediction of severe weather events, satellite-based communication technologies, and real-time forecasting. By integrating these strategies, farmers can better prepare for extreme weather and mitigate its impact on agriculture.

Ozone Production over Arid Regions: Insights into Meteorological and Chemical Drivers

Abstract Arid urban areas are pivotal in the global landscape, and their air quality issues are highlighted by the complexities of tropospheric ozone production. Here, we use recent satellite observations from TROPOMI and a longer record of data from OMI to investigate the levels of ozone precursors (NO2 and CH2O) in 12 major cities in arid regions. Using a space-based CH2O/NO2 indicator, we identified the dominant chemical regime influencing ozone formation, revealing a clear temporal trend that aligns with previously reported economic trajectories as well as variation in emission control strategies implemented in these cities. Our results show that, NO2 concentrations decreased in cities with proactive regulatory policies, such as Madrid and Los Angeles in semi-arid and arid regions. A contrasting increase was observed in rapidly developing cities within arid and hyper-arid regions, such as Tehran and Cairo, where emission controls are less strict. An increase in CH2O levels was also apparent, requiring more attention to VOCs control. Furthermore, our analysis clearly shows that the interactions between ozone production and climatic factors such as temperature exhibit a nonlinear relationship, especially in arid climates. These findings highlight the importance of emission reduction strategies that consider the meteorological and chemical drivers of dry regions, particularly in light of the rising global aridity.

ENERGY CONSUMPTION AS AN INDICATOR OF ECONOMIC GROWTH

Energy - is manifested in the provision of various needs of people. We can add daily individual needs such as food, heating, communications, transportation, education, and social conditions. Social needs cover such broad areas as safety, clean water delivery, outdoor lighting, waste management, education, and health care. In other words, energy is a requirement at every stage, from the production of all the needs we have mentioned to their distribution. Since energy is a limited and depleted factor of production, it is indispensable for social development. Today, its careful and efficient use is essential and the subject of various studies. In particular, much attention is paid to environmentally friendly renewable energy sources. On the other hand, the growing energy demand, which is one of the essential factors affecting countries' economic growth, remains relevant. Economic growth - reflects an increase in the level of national income and per capita income. Since ensuring economic growth is one of the main goals of countries, each country wants to ensure its own energy independence or sustainable energy reserves. In providing economic growth, not only the amount of energy used is of great importance, but also the efficient use of energy to increase production. It should be carefully emphasized that an increase in energy consumption not only leads to economic growth but, as a result of economic growth, more energy is consumed. In other words, in each case, more energy consumption is needed to achieve the economic growth that countries aim for, and the energy infrastructures and resources required for economic growth must be ready. It is necessary to expand research on alternative energy sources and close the gaps in countries' energy needs through their consumption.

Improvement of Quality Performance in Mask Production by Feature Selection and Machine Learning Methods and An Application

With the development of technology, large databases become more accessible thanks to automation systems that automatically keep data and allow the use of large databases in many areas. Machine learning approaches, a sub-branch of artificial intelligence, are used in making decisions about the process by analyzing the data stored in databases and converting them into information. In this paper, the body production process of the surgical (medical) mask is analyzed. As it is known, surgical masks have become a part of our lives by becoming widespread all over the world with the COVID-19 pandemic. In the surgical mask body production process, using the real data of the production factors, first of all, filtering feature selection methods and analyzes were made and the feature selection method to be used was determined. With the specified feature selection method, the factors affecting the product quality are determined. Secondly, machine learning methods were used to determine the values and value ranges of factors (features) in the production of defect-free products. The performances of the machine learning models established in the second stage were increased by feature selection analysis. In the study, together with the parameter optimizations made to machine learning algorithms, it was seen that the best algorithm to estimate the defective product rate was the Ibk algorithm with 92.3% accuracy, 91.9% F measurement and 93% AUC value. Finally, in line with the decision rules revealed in the study, it was observed that the fabric types used for the upper/middle/lower layers that make up the body part in the mask body production process greatly affect the rates of defective or defect-free products. If the rod apparatus around the nose belongs to class k, it has been determined that many masks are defective. Improvement suggestions were presented according to the application results.

Understanding the nature of blast resistance in combined bacterial leaf blight and blast gene pyramided lines of rice variety tellahamsa.

Rice blast and bacterial leaf blight (BLB) are the most limiting factors for rice production in the world which cause yield losses typically ranging from 20 to 30% and can be as high as 50% in some areas of Asia especially India under severe infection conditions. An improved line of Tellahamsa, TH-625-491 having two BLB resistance genes (xa13 and Xa21) and two blast resistance genes (Pi54 and Pi1) with 95% Tellahamsa genome was used in the present study. TH-625-491 was validated for all four target genes and was used for backcrossing with Tellahamsa. Seventeen IBC1F1 plants heterozygous for all four target genes, 19 IBC1F2 plants homozygous for four, three and two gene combinations and 19 IBC1F2:3 plants also homozygous for four, three and two gene combinations were observed. Among seventeen IBC1F1 plants, IBC1F1-62 plant recorded highest recurrent parent genome (97.5%) covering 75 polymorphic markers. Out of the total of 920 IBC1F2 plants screened, 19 homozygous plants were homozygous for four, three and two target genes along with bacterial blight resistance. Background analysis was done in all 19 homozygous IBC1F2 plants possessing BLB resistance (possessing xa13, Xa21, Pi54 and Pi1 in different combinations) with five parental polymorphic SSR markers. IBC1F2-62-515 recovered 98.5% recurrent parent genome. The four, three and two gene pyramided lines of Tellahamsa exhibited varying resistance to blast. Results show that there might be presence of antagonistic effect between bacterial blight and blast resistance genes since the lines with Pi54 and Pi1 combination are showing better resistance than the combinations with both bacterial blight and blast resistance genes.

Digitalization as a Factor of Production in China and the Impact on Total Factor Productivity (TFP)

In the digital transformation era, digitalization integrates deeply into production, bolstering output efficiency and economic value. Through stochastic frontier analysis (SFA), this research positions digitalization as an input in the production function, dissecting its elasticity impact on capital, labor, and output. The effect of digitalization on total factor productivity change (TFPC) is explained by comparing TFPC with and without digitalization. Findings reveal that digitalization’s integration into economic growth displays a U-shaped trajectory, with initial productivity setbacks transitioning to long-term benefits as industries adapt. The periodic complementarity and substitution between digitalization and labor, along with a weak substitution relationship with capital, illustrate that, as a production factor, digitalization dynamically interacts with other factors, both complementing and substituting them. This dynamic interplay highlights the intricate role that digitalization plays within the production function. Furthermore, digitalization has played a crucial role in China’s TFP growth, which also highlights the lack of other technological progress. Meanwhile, the pace of digital transformation presents scalability challenges, evident in the fluctuating scale efficiency change (SEC). Policymakers are advised to address these early stage challenges through supportive measures, ensuring smoother digital transitions. Concurrently, industries should embrace this non-linear transformation, emphasizing adaptability to maximize digitalization’s long-term advantages.

The Relative Importance of Factors Influencing Saudi Arabia's Productivity

A country's productivity reflects its current economic standing and where it could potentially grow in the future. This paper explains the relative significance of factors affecting the productivity of Kingdom of Saudi Arabia (KSA). The issue of productivity has been raised in the growing diversion of the economic literature to the development side, leaving little research on countries productivity as measured in gross domestic product (GDP), that provides empirical basses for the developmental debates. Eight important factors are researched for their relative explanation of the KSA’s productivity, which include the spendings on i) education, 2) subsidies, 3) research & development, 4) physical capital, 5) health, 6) gender equality, 7) inflation, and 8) openness to trade. These factors are assessed using the Ordinary Least Squares (OLS) and combine autoregressive features with those of moving averages (ARIMA). The study has theoretical implications for raising fresh evidence for the relative importance of these factors of production for developing countries such as KSA. The relative significance of these factors also informs predictions and policy making for the efficient resource allocation of keeping in view the targeted productivity level while chasing developmental objectives, such as those envisioned for 2030 in KSA. Received: 31 January 2024 / Accepted: 16 April 2024 / Published: 5 May 2024

Genetic Diversity, Mycotoxin Profiles, and Population Structure of Fusarium spp. Associated with Fusarium Head Blight in Georgia, United States.

Fusarium head blight (FHB) has become a limiting factor in soft red winter wheat production in the southeast United States. Recent epidemics have occurred in Georgia, but genetic information on the Fusarium species responsible for FHB is unknown. This study aimed to assess pathogen population structure and genetic diversity, trichothecene profiles, and representative pathogenicity of 196 Fusarium isolates collected from 44 wheat (n = 85) and 53 corn (n = 111) fields in Georgia. Phylogenetic analysis using the translation elongation factor 1-alpha (635 bp) and RNA polymerase second largest subunit (930 bp) sequence data resolved isolates into 185 haplotypes, which represented 12 Fusarium species grouped under five species complexes. F. graminearum with 15-acetyl-deoxynivalenol (15ADON) chemotype (75.6%) and F. incarnatum (57.7%) predominated in wheat and corn, respectively, with a surprisingly higher frequency of nivalenol (NIV) F. graminearum (21.8%). Using nine variable numbers of tandem repeat markers, 82 multilocus genotypes out of 86 F. graminearum isolates were identified and grouped into two genetic clusters, pop1fg (n = 29) and pop2fg (n = 32), as part of the North American populations (NA1 and NA2) but with no chemotype differentiation. F. graminearum populations in Georgia are mostly clonal and might have evolved through at least two introductions from the northeast United States and Canada and local adaptation to maintain high genetic diversity. Pathogenicity of F. graminearum isolates from wheat and corn had high FHB severity (>60%) in wheat, which depicted the risk they can pose towards future FHB outbreaks. Overall, this baseline study provided important information on Fusarium species diversity including F. graminearum associated with FHB in Georgia that will be useful to formulate integrated disease management incorporating improved host resistance and fungicide spray programs.

Determinants of Production in the Bread and Cake Industry in Banyumas District

The industrial sector is a pertinent driving force for economic development in developing countries, including Indonesia. Therefore, the industrial sector more than other industries must be prepared to become a leading sector. One of the industrial sectors growing in the Banyumas district is the food industry, especially cakes and bread. This research aims to analyze the effect of capital, labor, and raw material on the production of the food items and identify the independent variables that influence the production the most. The population of this study is 108 bread and cake business units. The sampling technique used is Stratified Random Sampling based on the number of workers. The data analysis technique used is multiple linear regression which refers to the Cobb-Douglas production function using natural logarithms. The results show that capital, labor, and raw materials partially have a positive and significant effect on production; capital, labor, and raw materials simultaneously have a substantial impact on production; the most influential variable on production is the raw material. The research implies that the bakery industry in Banyumas Regency should use a combination of production factors such as capital, labor, and raw materials optimally to increase production. Furthermore, it is hoped that the Banyumas Regency Government and financial institutions can increase the ease of access to capital to support business development. To increase labor productivity, the government and companies can facilitate to improve their knowledge and skills. Keywords: capital, labor, raw materials, production