Net Profit Research Articles

Evaluating small-scale eucalyptus growers’ experience of the EVO mobile application: a comparative analysis of quantitative and qualitative assessment techniques

ABSTRACT Mobile applications (apps) have become widely available as decision support tools in agriculture and forestry worldwide. Owing to the above-mentioned development trend, identifying testing methods that can be easily implemented for evaluating mobile app development targeting rural livelihood-related topics is urgently required. This study examined user experiences with a previously launched and published mobile app (EVO) that small-scale eucalyptus growers can utilize to estimate their gross income and net profit from timber sales. The survey incorporated three user experience assessment methods. The study involved two rounds of data collection regarding the mobile app: the first round concerned version 1.0, whereas the second round referred to version 2.0. The aim was to identify the user experience of the EVO app for guiding further software development to improve its suitability among potential user groups, as well as to estimate the feasibility and usability of survey methods for evaluating mobile apps among smallholders and related stakeholders. The results indicated a remarkable improvement in user satisfaction between the two rounds. Using a combination of system usability scale, user acceptance testing, and quality questions is recommended for collecting valuable and useful feedback for the development of mobile apps.

Winter barley productivity in the southern part of the Rostov region when sowing sunflower as a forecrop with different seeding rates

The current study was conducted in the southern part of the Rostov region in the agrotechnical crop rotation of the laboratory for cultivation technology of grain and row crops of the FSBSI Agricultural Research Center “Donskoy” in 2021–2023. The purpose of the study was to determine the effect of seeding rates on productivity of various winter barley varieties sown after sunflower. The conducted study allowed identifying the response of winter barley varieties to different seeding rates. The winter barley variety ‘Marusya’ on average over the years of research formed the mean maximum grain productivity of 6.43 t/ha when sowing with the lowest seeding rate (3 million pcs. of germ. grains per 1 ha). For the varieties ‘Vivat’ and ‘Foks 1’, the optimal seeding rate was 4 million pcs. of germ. seeds per 1 ha, and the obtained productivity was 6.31 and 5.81 t/ha, respectively. The response of the studied winter barley varieties to seeding rates was different through the years, but the effect of this factor was 4.6–10.5 %. Reliable differences in the experiment were obtained only for the variety ‘Vivat’ for all seeding rates. The winter barley productivity was determined by the choice of a variety, and the effect of this factor ranged from 32.5 to 78.1 %. There was determined that when sowing with the lowest seeding rate (3 million pcs. of germ. grains per 1 ha), all winter barley varieties in the trial had the largest number of grains per ear and grain weight per ear with 36.3–43.2 g and 1.62–2.10 g, respectively. There was established that in the variant with this seeding rate, the varieties formed a heavy, large-size grain (nature weight of 637–660 g/l) with ‘1000-grain weight’ of 42.1–43.8 g and 10.8 to 11.3 % of protein in grain. There has been established an economic efficiency of cultivating the varieties ‘Vivat’, ‘Marusya’ and ‘Foks 1’ when sowing them with the lowest seeding rate of 3 million pcs. of germ. grains per 1 ha. With a low cost price of produced grain (5405–6136 rubles/t), in this variant of trial, the varieties obtained the maximum conditional net income (34378–45499 rubles/ha) and production profitability (108–147%).

Research on the timing for subsequent water flooding in Alkali-Surfactant-Polymer flooding in Daqing Oilfield based on automated machine learning.

Determining the optimal timing for subsequent water flooding in Alkali-Surfactant-Polymer (ASP) flooding is essential to maximizing both the technical and economic outcomes of oilfield blocks. This study identified eight critical parameters that influence the benefits of ASP flooding and established parameter ranges based on data from completed blocks and actual field measurements. The optimal timing for subsequent water flooding was determined by evaluating cumulative net profit variations throughout the ASP flooding lifecycle. Given the complexity and high-dimensional nature of evaluating multiple parameters across diverse blocks, a machine learning-driven optimization model was developed. This model enhances work efficiency by automating complex analyses. However, predictive uncertainties and limitations remain due to the variability in oilfield development and the potential for unpredictable changes in reservoir conditions, external market factors and so on, which may affect the model's results. The model was applied to six blocks in the Daqing oilfield currently in the chemical flooding phase, where injection schemes, such as extending the polymer slug, were adjusted according to the model's optimized results. These adjustments yielded an increase in cumulative net profit of 224.9million CNY compared to the original scheme, with a potential total increase of 752.1million CNY by the end of the flooding process.

Analisis Rasio Profitabilitas Sebagai Alat untuk Mengukur Kinerja Keuangan pada PT Fast Food Indonesia Tbk yang Terdaftar di Bursa Efek Indonesia

This aims to determine the profitability ratio to measure financial performance at PT Fast Food Indonesia. This research uses quantitative methods and focuses on finding out how Profitability ratios measure financial performance at PT Fast Food Indonesia Tbk from 2019 to 2023. Based on the results of research that has been carried out using profitability ratio calculations, namely Net Profit Margin, Return On Assets, and Return On It is known that Equity at PT Fast Food Indonesia Tbk experiences fluctuations every year except 2023. So it is concluded that the company's financial performance after being calculated using these three indicators is still below the industry average standard except in 2023 capable of being above industry standards.

THE IMPACT OF CASH TURNOVER, INVENTORY TURNOVER, AND RECEIVABLES TURNOVER ON PROFITABILITY IN PHARMACEUTICAL SUB-SECTOR COMPANIES LISTED ON THE INDONESIA STOCK EXCHANGE FOR THE PERIOD 2019-2023

The profitability of a company refers to its ability to generate net profit from activities conducted during an accounting period. Profit reflects the performance achieved from transactions undertaken by the company over a specific period. Stakeholders use profit as an indicator to assess the effectiveness of management in running the company. One sub-sector that plays an important role in the national economy is the pharmaceutical sub-sector. The pharmaceutical industry is one of the mainstay sectors that plays a major role in the main movement in the future. This subsector's investment development isn't always fascinating, according to the Investment Coordinating Board (BKPM). Variations in profit income or profitability were observed between 2019 and 2023, as per the yearly report study. Finding out how the variables of cash turnover, inventory turnover, and accounts receivable turnover affect profitability is the main goal of this study. Sampling in this study was done by purposive sampling technique, which is a sampling technique based on certain criteria so that a sample of 11 Pharmaceutical Sub-Sector Companies was obtained. The analysis technique used was multiple linear regression using the SPSS Version 11 analysis tool. The results showed that cash turnover had a positive and insignificant effect on profitability, inventory turnover had a negative and insignificant effect on profitability and receivables turnover had a positive and significant effect on profitability.

Financial Statement Analysis of BYD Company Limited

This paper takes BYD as an example to analyze its financial indicators and conduct a comprehensive DuPont analysis for the period from 2019 to 2023. The analysis reveals that the company achieved significant financial growth during this period. Both operating revenue and net profit showed an upward trend, with particularly strong growth momentum in 2022 and 2023, as net profit increased substantially. The gross profit margin and net profit margin also improved, indicating enhanced operational efficiency and effective cost control. At the same time, BYD's continuous increase in R&D investment has driven technological innovation and product upgrades. The total assets have continued to grow, reflecting the company's business expansion and strengthened capabilities. The cash flow position remains healthy, with net operating cash flow steadily increasing, providing stable financial support for the company. However, BYD faces challenges such as intensified market competition and fluctuations in raw material prices, which necessitate ongoing optimization of business strategies and operational models to maintain its leading position and competitiveness. Overall, BYD has performed outstandingly in the new energy vehicle sector, with promising prospects for future development.

Credit Scoring Model Weighted by Investment and Financing Decisions: Case Study in a Building Supply Store

Current literature provides various models for credit risk analysis, called Credit Scoring Models (CSMs). However, these models are not suited to the majority of Micro and Small Enterprises (MSEs). This is compounded by a lack of technical knowledge of microentrepreneurs linked to the high costs and complexity of the CSMs. These issues are significant as 99% of Brazilian companies are MSEs. Therefore, this paper aims to propose a CSM for an MSE that commercializes construction materials in São Paulo, Brazil. This research is quantitative and characterized as a case study whose CSM is based on the Naive Bayes algorithm implemented in Microsoft Office Excel 2016. This model calculates the probability of default and adherence by weighting the results based on the Modern Finance Theory with the Cost of Denying and the Cost of Granting. The application of the model demonstrates that the successes in approvals (70%) and disapprovals (66%) of Credit Sales were significant with a result of R$ 32.20 thousand and an increase in net profit by 124.2%. We have evidenced that the proposed CSM is able to weigh the risk in investment and financing decisions for the Credit Sales of an MSE. This paper provides a low-cost CSM, adapted to reality and easy to handle and implement in MSEs. This research is a reference to the development of CSMs focused on the credit concessions conducted by MSEs.

Evaluating the agronomic and economic benefit of including spinosad with and without pyrethroid insecticides in bermudagrass stem maggot treatments

AbstractThe bermudagrass stem maggot (BSM; Atherigona reversura Villeneuve) is known to have a detrimental effect on bermudagrass (Cynodon spp.). Currently, two strategically timed pyrethroid applications are recommended for BSM suppression in each harvest cycle. However, producers are interested in applying spinosad because of its residual effects for other insects or reducing the number of pyrethroid applications to cut input costs. Therefore, the objective of this study was to determine the agronomic and economic implications of one or multiple pyrethroid (zeta‐cypermethrin) and/or spinosad applications on ‘Alicia’ and ‘Tifton 85’ bermudagrasses. Generally, zeta‐cypermethrin treatments resulted in a greater herbage accumulation compared to the untreated control in both cultivars. Regardless of cultivar, spinosad only treatments did not improve upon the herbage accumulation observed in the untreated control. Crude protein and total digestible nutrients were not affected by insecticide treatments in either cultivar. Finally, two zeta‐cypermethrin applications resulted in greater net profit compared to other insecticide treatments. These data illustrate that there is not yet an alternative for two pyrethroid applications for BSM suppression. Ongoing research and breeding efforts are focused on BSM tolerance and reduced pyrethroid usage to prevent resistance to the insecticide.

Effect of Methods of Establishment and Zinc Management on Growth and Yield of Rice (Oryza sativa L.)

The field experiment was conducted at Shradhay Bhagwati Singh Agriculture Research Farm (Hajipur), Chandra Bhanu Gupta Krishi Snatkottar Mahavidyalaya, B.K.T., Lucknow (Uttar Pradesh) during Kharif (rainy) season in 2023-24. The treatment consisted of three methods of establishment (M1 – Direct seeding in lines after pre-irrigation, M2 -Broadcast of sprouted seed on puddled soil , M3 – System of Rice intensification (SRI) of (25 x 25cm) 12 days old seedling.) and five Zinc management practices (Zn0- Without zinc (control), Zn1- Zinc Sulphate ZnSo4@20kg ha-1 (Basal), Zn2- Foliar spray of Zn@0.5% at tillering and panicle initiation stage, Zn3- Seedling dipping in 2% ZnSO4+ 2 Foliar of Zn@0.5% at tillering and Panicle stage, Zn4- Seedling dipping in 2 % ZnSO4 solution+ Foliar spray of Zn@0.2% at tillering and panicle initiation stage) were tested in split-plot design with 3 replications. The Experimental site was silty loam having medium organic carbon (0.70%) and available nitrogen (270 kg ha-1), phosphorous (27 kg ha-1) and Potassium (262 kg ha1). All the growth parameters, yield attributes, yield, Zinc content and uptake of Zn into grains and straw, were increased significantly with SRI method (M3) followed by direct seeding in Lines after pre-irrigation (M2). Amongst zinc management, all the growth parameters and yield attributes of rice were maximum under Seedling dipping in 2% ZnSO4+ 2 Foliar of Zn@0.5% at tillering and panicle initiation stage, followed by Seedling dipping in 2 % ZnSO4 solution+ Foliar spray of Zn@0.2% at tillering and panicle initiation stage the maximum gross income of Rs 158938.18 ha-1 was accrued with (SRI method + T4) treatment combination. However, a combination of SRI method along with T3 treatment accrued the maximum net profit of Rs 107981.21 ha-1 and benefit: cost ratio of 2.08 which was followed by a combination of SRI method along with T4 with net income of Rs 107234.99 ha-1 and benefit cost ratio of 2.07.

Determinants of Net Profit Margins in Foreign Islamic Banks: Evidence from Malaysia

Determinants of Net Profit Margins in Foreign Islamic Banks: Evidence from Malaysia

Prioritizing Energy Performance Improvement Factors for Senior Centers Based on Building Energy Simulation and Economic Feasibility

This study examined energy performance improvement factors by analyzing both energy performance and the economic impacts to reduce energy costs for senior centers. A fact-finding survey was conducted on 20 senior centers in a metropolitan area, identifying key energy improvement factors. Energy simulations of the buildings were performed using ECO2, an officially certified energy assessment program in Korea, comparing the energy requirements before and after the improvements. The energy demand, energy consumption, and floor area were analyzed, with the J, K, and S standard models selected based on the median values of these factors. To assess the impact of the improvements, blower door tests were conducted on two senior centers before and after window upgrades. Based on the ECO2 simulations and the blower door test results, improvement priorities were identified in the following order: windows, exterior walls, boilers, roofs, and doors. Finally, an economic feasibility analysis applied the construction and heating costs to the standard models. Over a 40-year period, only boiler improvements generated a net profit. Without government support, this study recommends prioritizing boiler upgrades when selecting energy performance improvements.

Corn cobs as growing media for production of cucumber plants in agriculture sector: a new trend

Peat and perlite are considered traditional growing substrates in soilless culture. The high cost of both and the urgent need for agricultural waste recycling prompted scientists and soilless culture growers to find alternative growing substrates provide optimal growth conditions and help dispose waste safely. In this study, corn cobs (CB) were tested as growing media and compared with peat moss (PM) and perlite (P). The organic wastes tested: CB, PM, and P were examined with washed sand (WS) at five treatments (WS, CB, CB + peat, CB + P and CB + sand). Cucumber (Cucumis sativus L.) plants were cultivated using 5 kg pots that contained the investigated substrates. Vegetative growth parameters, early fruiting stage, photosynthetic pigments, and cucumber yield had the highest values with CB and CB + P substrates, while the lowest ones were found in WS and CB + WS. CB resulted in greater flowering with the number of fruits per plant and yield being 39.70%, 37.33%, and 33.67%, 29.88 in both seasons, higher than the lowest substrate (WS). Although adding P to CB showed the highest values of measured growth characteristics, its high cost decreased net profit. Furthermore, CB characteristics as a growing media qualify it for use in cucumber soilless culture production. The use of this replacement media, which contains crushed CB, could reduce (but not eliminate) the need for PM and P in soilless culture. Also, using pyrolyzed biomass in growing media provides another way to convert biomass residues into valuable products.

Immunity priming and biostimulation by airborne nonanal increase yield of field-grown common bean plants

IntroductionStress-induced volatile organic compounds (VOCs) that induce plant immunity bear potential for biocontrol. Here, we explore the potential of nonanal to enhance the seed yield of common bean (Phaseolus vulgaris) under open field conditions that are realistic for smallholder farmers.Methods and resultsUsing plastic cups with a nonanal-containing lanolin paste as low-cost dispensers, we observed that exposure of Flor de Junio Marcela (FJM) plants over 48h to airborne nonanal was followed by a 3-fold higher expression of pathogenesis-related (PR) genes PR1 and PR4. Both genes further increased their expression in response to subsequent challenge with the fungal pathogen Colletotrichum lindemuthianum. Therefore, we conclude that nonanal causes resistance gene priming. This effect was associated with ca. 2.5-fold lower infection rates and a 2-fold higher seed yield. Offspring of nonanal-exposed FJM plants exhibited a 10% higher emergence rate and a priming of PR1- and PR4-expression, which was associated with decreased infection by C. lindemuthianum and, ultimately, a ca. 3-fold increase in seed yield by anthracnose-infected offspring of nonanal-exposed plants. Seeds of nonanal-exposed and of challenged plants contained significantly more phenolic compounds (increase by ca 40%) and increased antioxidant and radical scavenging activity. Comparative studies including five widely used bean cultivars revealed 2-fold to 3-fold higher seed yield for nonanal-exposed plants. Finally, a cost-benefit analysis indicated a potential economic net profit of nonanal exposure for some, but not all cultivars.OutlookWe consider nonanal as a promising candidate for an affordable tool that allows low-income smallholder farmers to increase the yield of an important staple-crop without using pesticides

Financial Performance Analysis of TCS, Wipro and Infosys: A Comparative Study

This research conducts a thorough examination of the financial performance of three leading companies in India's IT sector: Tata Consultancy Services (TCS), Wipro, and Infosys concentrating on their profitability and liquidity from 2020 to 2024. By employing ratio analysis, the study evaluates essential financial indicators such as the current ratio, return on capital employed, gross profit ratio, and net profit ratio to assess the financial stability and operational effectiveness of these firms. The results indicate notable disparities between the companies regarding liquidity and profitability. Infosys stands out with the best liquidity position, while TCS leads in profitability metrics, such as return on capital employed and net profit ratio. To substantiate these findings, the study utilizes statistical techniques like one-way ANOVA. These insights are beneficial for stakeholders, investors, and management, providing a clearer perspective on each company's financial strengths and weaknesses, thereby facilitating informed decision-making in the dynamic IT sector.

PENGARUH RASIO PROFITABILITAS DAN RASIO AKTIVITAS TERHADAP PERTUMBUHAN LABA PADA PT GUDANG GARAM TBK PERIODE TAHUN 2013-2022

This research aims to determine the effect of the Profitability Ratio proxied by Net Profit Margin and the Activity Ratio proxied by Total Asset Turnover on PT Gudang Garam Tbk's Profit Growth, both partially and simultaneously. The population chosen was the financial report of PT Gudang Garam Tbk, with the sample used being the financial position report and profit and loss report for the 2013-2022 period. This research uses a quantitative approach and documentation data collection techniques. The analytical methods used are Multiple Linear Regression Analysis. Based on partial research results using the t test, it was concluded that Net Profit Margin had a significant effect on Profit Growth with a significance value of 0.001 < 0.05. Meanwhile, Total Asset Turnover has no significant effect on Profit Growth with a significance value of 0.413 > 0.05. Simultaneous test results (F test) show that Net Profit Margin and Total Asset Turnover together have a significant effect on Profit Growth with a significance value of 0.001 < 0.05 with an F_count value of 21.160 > F_table 4.74.

Profit-oriented balancing of two-sided disassembly lines with resource-dependent task times

PurposeAs a result of environmentally conscious production requirements in the world, the concept of disassembly has been a focus of interest by researchers and practitioners over the last two decades. Disassembly is an important process in circular economy to recover and reuse of parts and materials. End-of-life and large-sized products such as minibuses and trucks may be disassembled on two-sided lines. The ability of using both right and left sides of two-sided lines may increase line efficiency and reduce space requirements across the line. This paper aims to address a two-sided disassembly line balancing problem (TSDLBP), which deals with assigning disassembly tasks, various equipments and assistants to the workstations to maximize total net recovery profit of the line.Design/methodology/approachA detailed explanation of the TSDLBP is first presented in the paper. A new 0–1 integer linear programming model is then proposed for the TSDLBP, aiming at maximizing total net recovery profit from disassembly of products. A set of test problems is generated, and an experimental analysis is conducted to make a comparison between traditional one-sided disassembly lines (TOSDL) and two-sided disassembly lines by means of performance improvement rate.FindingsOptimal results are obtained in 132 (81.48%) out of 162 the TOSDL balancing problems, while 92 (56.79%) out of 162 the TSDLBP using the proposed model. Total net recovery profits are compared on 88 problems for which optimal solutions are obtained in both the TOSDL and the TSDLBP. Results showed that implementing two-sided disassembly lines provides 29.18% increment in total net recovery profit compared to the TOSDL. Furthermore, the effects of different parameter levels on the net recovery profit are analyzed using two-way analysis of variance. According to the results, implementing two-sided disassembly line configuration increases total net recovery profit of the line significantly compared to traditional disassembly line configuration.Originality/valueThe use of disassembly lines has become essential because of increasing consumption that results in a huge number of end-of-life products in the world. Two-sided disassembly lines may be preferred for dismantling large-sized products due to their high disassembly capacity and fewer space requirements. This paper proposes a new mathematical model for disassembly line balancing problem. The proposed model differs from the existing models by means of efficiently assigning limited disassembly resources as well as assigning disassembly tasks to the workstations to maximize total net recovery profit of the production system. The model allows decision-makers to consider several resource limitations when balancing their disassembly lines. The paper also provides a comprehensive experimental study to compare traditional and two-sided disassembly lines by means of profitability of disassembly processes.

Degradation-infused energy portfolio allocation framework: Risk-averse fair storage participation

This work proposes a novel degradation-infused energy portfolio allocation (DI-EPA) framework for enabling the participation of battery energy storage systems in multi-service electricity markets. The proposed framework attempts to address the challenge of including the rainflow algorithm for cycle counting by directly developing a closed-form of marginal degradation as a function of dispatch decisions. Further, this closed-form degradation profile is embedded into an energy portfolio allocation (EPA) problem designed for making the optimal dispatch decisions for all the batteries together, in a shared economy manner. We term the entity taking these decisions as ‘facilitator’ which works as a link between storage units and market operators. The proposed EPA formulation is quipped with a conditional-value-at-risk (CVaR)-based mechanism to bring risk-averseness against uncertainty in market prices. The proposed DI-EPA problem introduces fairness by dividing the profits into various units using the idea of marginal contribution. Simulation results regarding the accuracy of the closed-form of degradation, effectiveness of CVaR in handling uncertainty within the EPA problem, and fairness in the context of degradation awareness are discussed. Numerical results indicate that the DI-EPA framework improves the net profit of the storage units by considering the effect of degradation in optimal market participation.

ASSERING THE IMPACT OF MACROECONOMIC INDICATORS ON CORPORATE FINANCIAL PERFORMANCE: AN EMPIRICAL ANALYSIS IN ASIA

This study investigates the impact of macroeconomic indicators, specifically GDP growth and inflation, on corporate financial performance in selected ASEAN countries (Indonesia, Malaysia, the Philippines, Singapore, and Vietnam) from 2010 to 2022. Using data sourced from the OSIRIS database and the World Bank's World Development Indicators, the analysis focuses on three key financial metrics: Return on Assets (ROA), Net Profit Margin (NPM), and Market Capitalization (MC). Employing the Generalized Least Squares (GLS) method, the study addresses heteroskedasticity and autocorrelation in panel data, incorporating control variables such as Total Assets, Current Ratio, and Interest Coverage. Results indicate that GDP growth positively correlates with ROA and NPM, underscoring the importance of economic expansion for corporate efficiency and profitability. However, GDP growth does not significantly impact Market Capitalization, highlighting potential differences in market valuation dynamics. Inflation positively affects ROA and NPM, suggesting firms effectively manage inflationary pressures but does not significantly affect Market Capitalization. The findings provide actionable insights for financial managers, investors, and policymakers. Companies should integrate macroeconomic forecasts into business planning and adopt strategies to mitigate inflationary impacts. Future research directions include sector-specific analyses, longitudinal studies, and the incorporation of additional macroeconomic variables to deepen the understanding of these relationships.

Long-Term Impact of Mergers and Acquisitions on Firm Performance: A Panel Data Study

Purpose - This study aims to examine the long-term impact of mergers and acquisitions (M&As) on firm performance, particularly within the pharmaceutical industry. Using a panel data regression model, the study assesses how key financial ratios such as Net Profit Margin, Return on Capital Employed (ROCE), Debt to Equity Ratio, and Enterprise Value influence postmerger firm performance over time. Design/methodology/approach - A panel data approach has been conducted using data from 10 pharmaceutical companies from their post-merger period, focusing on the effects of M&As on firm performance as measured by Net Profit Margin. Financial ratios related to profitability, liquidity, and valuation were used as independent variables. Findings - The study finds that M&As have a positive long-term impact on firm performance, particularly in companies with strong Earnings per Share (EPS), efficient capital management, and good liquidity. ROCE, Debt to Equity Ratio, and Current Ratio were significant predictors of improved Net Profit Margin, highlighting the importance of financial efficiency and debt management in the post-merger phase. Research limitations/implications - The focus on the pharmaceutical industry limits the generalizability of the findings to other sectors. Future studies should examine a broader range of industries to better understand the effects of M&As across different contexts

Land Stewardship and Development Behaviors Under an Ecological-Impact-Weighted Land Value Tax Scheme: A Proof-of-Concept Agent-Based Model

Sprawling land development patterns have exacerbated ecological degradation, social fragmentation, and public health problems. Perverse incentives arise from the ability to privatize collectively created value in land rents and socialize ecological costs. Land value taxation (LVT) has been shown to encourage urban infill development by reducing or eliminating rent-seeking behavior in land markets. However, despite its purported benefits, this tax reform is value monistic in its definition of optimal land use and, therefore, does little to address the lack of non-market information to inform land use decisions. We propose an ecological-impact-weighted land value taxation policy (ELVT) which incorporates the ecological footprint of land use into one’s land value tax burden. We test both proposed policies (LVT and ELVT) relative to a “status quo” (SQ) property tax scheme, utilizing a conceptual spatially explicit agent-based model of land use behaviors and housing development. Our findings suggest that both tax interventions can increase the capital intensity and decrease the land intensity of housing development. Furthermore, both tax interventions can lead to a net profit loss for speculators and a decrease in the average housing unit price. The ELVT scheme is shown to significantly increase urban nature provisions and dampen the loss of ecological value across a region.