Abstract
The transition from subsistence farming to commercial agriculture is critical for rural poverty alleviation and food security. This study evaluates the impact of the "High Value Fruits and Crops (HVF&C) Varieties Extension and Marketing Sub-Project" on technological adoption, market integration, economic outcomes and nutritional security in Chattogram, Bangladesh. A mixed-methods baseline-endline-control group comparative design was employed. Evaluated parameters included income, agricultural practices, technological uptake and Minimum Dietary Diversity for Women (MDD-W). The intervention was associated with substantial socioeconomic changes among the beneficiaries. Monthly primary income for treatment entrepreneurs increased 14,826.87 ± 9,188.67 BDT at endline, compared to 4,758.14 ± 2,453.26 BDT at baseline and 12,743.06 ± 6,515.96 BDT for the control group. Beneficiaries reported substantial adoption of HVF&C cultivation (91.9%), adopting Good Agricultural Practices (96.9%) and safe agriculture (96.4%). Technology adoption increased with 39.1% of beneficiaries adopting modern irrigation and 77% utilizing mechanized production systems. Market linkages expanded, with 71.75% of beneficiaries securing active marketing channels, significantly mitigating post-harvest losses. Nutritional outcomes were higher among beneficiaries, 61.77% of beneficiary women achieved adequate MDD-W scores (≥ 5 food groups), contrasting sharply with 27.78% in the control group. Furthermore, women's empowerment in financial and agricultural decision making was reported by more than 99% of respondents among beneficiaries. The project was associated with a shift toward market oriented, technology enabled agribusiness microenterprises. By bridging gaps in technical knowledge, financial inclusion and value chain connectivity, the intervention offers a may provide useful evidence for similar interventions for advancing climate smart horticulture and rural nutritional security in South Asia.
Keywords
Agricultural Commercialization, Financial Inclusion, High-Value Fruits and Crops, Market Integration,
Technological Adoption
1. Introduction
The global transformation of agri-food systems has increasingly positioned smallholder agriculture at the nexus of economic development, climate resilience and nutritional security
| [1] | Hazell PBR, Wood S. Drivers of change in global agriculture. Philosophical Transactions of the Royal Society B: Biological Sciences. 2008; 363(1491): 495-515.
https://doi.org/10.1098/rstb.2007.2166 |
[1]
. In South Asia, where the rural economy remains heavily dependent on subsistence farming, transitioning toward commercialized, high-value agriculture is widely recognized as a critical pathway for poverty alleviation
| [2] | Joshi PK, Gulati A, Birthal PS, Tewari L. Agriculture diversification in South Asia: Patterns, determinants and policy implications. Economic and Political Weekly. 2004; 39(24): 2457-2467. https://doi.org/10.2307/4415148 |
[2]
. The cultivation of High-Value Fruits and Crops (HVF&C) offers distinct advantages over traditional staple grain production, including higher profit margins, greater potential for value addition and enhanced employment generation across the rural supply chain
. However, smallholder market integration is frequently constrained by systemic barriers, including a lack of access to formal credit, inadequate technical extension services, post-harvest infrastructure deficits and vulnerability to climate induced shocks
.
To navigate these constraints, contemporary agricultural development increasingly emphasizes technological adoption, digital connectivity and multi-actor value-chain collaboration. Climate-smart technologies, including improved irrigation systems, digital advisory tools and precision-oriented farm management practices, can improve resource-use efficiency and strengthen smallholder resilience to environmental and market risks. In Bangladesh, recent studies indicate that agricultural digitalization is gradually expanding through mobile based services, digital information platforms and emerging technology applications, although unequal access to digital infrastructure, skills and services continues to constrain adoption among smallholder farmers
| [5] | Ahsan MB, Leifeng G, Azam FMS, Xu B, Rayhan SJ, Kaium A, Wensheng W. Barriers, challenges, and requirements for ICT usage among sub-assistant agricultural officers in Bangladesh: Toward sustainability in agriculture. Sustainability. 2023; 15(1): 1-27. https://doi.org/10.3390/su15010782 |
| [6] | Porciello J, Coggins S, Mabaya E, Otunba-Payne G. Digital agriculture services in low- and middle-income countries: A systematic scoping review. Global Food Security. 2022; 34: 100640. https://doi.org/10.1016/j.gfs.2022.100640 |
[5, 6]
. Digital technologies are also becoming increasingly relevant for agricultural market integration and value chain coordination. For example, mobile communication and digital platforms can reduce information asymmetry, facilitate market participation and improve access to financial and advisory services. However, evidence from Bangladesh suggests that farmers' use of digital financial services remains uneven, with limited digital literacy, technological risks and operational constraints restricting the effective use of these services for agricultural transactions, credit and market participation
| [7] | Prodhan MMH, Jalal MJE, Alam H, Mostofa MS, Khondker BH, Khan MA. State and potential of digital financial services among farmers in Bangladesh: An in-depth study. Journal of Agriculture and Food Research. 2024; 16: 101209.
https://doi.org/10.1016/j.jafr.2024.101209 |
[7]
.
Emerging technologies such as the Internet of Things (IoT), blockchain based traceability and other digital supply chain systems offer additional opportunities for monitoring farm activities, improving transparency and strengthening coordination between producers and downstream market actors
| [6] | Porciello J, Coggins S, Mabaya E, Otunba-Payne G. Digital agriculture services in low- and middle-income countries: A systematic scoping review. Global Food Security. 2022; 34: 100640. https://doi.org/10.1016/j.gfs.2022.100640 |
| [8] | Rashid MRA, Hasan M, Islam MA, Tasnim ST, Taifa RJ, Mahbub S, Mansoor N, Ali MS, Jabid T, Islam M, Islam MM. Transforming agri-food value chains in Bangladesh: A practical application of blockchain for traceability and fair pricing. Heliyon. 2024; 10(21): e40091.
https://doi.org/10.1016/j.heliyon.2024.e40091 |
[6, 8]
. A recent Bangladesh based study demonstrated the potential of blockchain enabled systems to enhance traceability, transparency and fairer pricing in agri-food value chains
| [8] | Rashid MRA, Hasan M, Islam MA, Tasnim ST, Taifa RJ, Mahbub S, Mansoor N, Ali MS, Jabid T, Islam M, Islam MM. Transforming agri-food value chains in Bangladesh: A practical application of blockchain for traceability and fair pricing. Heliyon. 2024; 10(21): e40091.
https://doi.org/10.1016/j.heliyon.2024.e40091 |
[8]
. Such technologies may therefore contribute to reducing transaction costs and information asymmetry, particularly in complex horticultural supply chains involving multiple intermediaries. Nevertheless, the empirical evidence on the actual adoption and effectiveness of advanced digital technologies among smallholder farmers remains limited, particularly when such technological adoption is assessed alongside broader outcomes relating to finance, market integration and household welfare
| [5] | Ahsan MB, Leifeng G, Azam FMS, Xu B, Rayhan SJ, Kaium A, Wensheng W. Barriers, challenges, and requirements for ICT usage among sub-assistant agricultural officers in Bangladesh: Toward sustainability in agriculture. Sustainability. 2023; 15(1): 1-27. https://doi.org/10.3390/su15010782 |
| [6] | Porciello J, Coggins S, Mabaya E, Otunba-Payne G. Digital agriculture services in low- and middle-income countries: A systematic scoping review. Global Food Security. 2022; 34: 100640. https://doi.org/10.1016/j.gfs.2022.100640 |
| [7] | Prodhan MMH, Jalal MJE, Alam H, Mostofa MS, Khondker BH, Khan MA. State and potential of digital financial services among farmers in Bangladesh: An in-depth study. Journal of Agriculture and Food Research. 2024; 16: 101209.
https://doi.org/10.1016/j.jafr.2024.101209 |
| [8] | Rashid MRA, Hasan M, Islam MA, Tasnim ST, Taifa RJ, Mahbub S, Mansoor N, Ali MS, Jabid T, Islam M, Islam MM. Transforming agri-food value chains in Bangladesh: A practical application of blockchain for traceability and fair pricing. Heliyon. 2024; 10(21): e40091.
https://doi.org/10.1016/j.heliyon.2024.e40091 |
[5-8]
.
Beyond economic metrics, agricultural commercialization exerts a profound influence on household food security and dietary quality. Historically, agricultural policy has demonstrated a preoccupation with staple grains, often overlooking the nutritional imperatives of diverse food systems
. Nutrition sensitive agricultural interventions are increasingly advocated to address micronutrient deficiencies, with dietary diversity serving as a proxy for both nutrient adequacy and household economic stability
| [10] | Ruel MT, Alderman H. Maternal and Child Nutrition Study Group. Nutrition-sensitive interventions and programs: how can they help to accelerate progress in improving maternal and child nutrition? Lancet. 2013; 382(9891): 536-551.
https://doi.org/10.1016/S0140-6736(13)60843-0 |
[10]
. The Minimum Dietary Diversity for Women (MDD-W) indicator, validated by the Food and Agriculture Organization (FAO), is an internationally standardized metric for assessing the proportion of women consuming a diet rich in essential micronutrients
| [11] | FAO. Climate-smart agriculture sourcebook. Food and Agriculture Organization of the United Nations. 2016; 1: 1-570. |
[11]
. Evaluating the cross sectional impact of HVF&C commercialization on MDD-W is imperative for understanding how agricultural income translates into human capital development, particularly concerning maternal and child health.
In Bangladesh, the coastal and southeastern regions exhibit significant untapped potential for horticultural diversification, though farmers face compounded challenges of soil degradation, salinity and fragmented market linkages
. Addressing these localized constraints, the Rural Microenterprise Transformation Project (RMTP) financed by the Palli Karma-Sahayak Foundation (PKSF), the International Fund for Agricultural Development (IFAD) and the Danish International Development Agency (DANIDA) and implemented by Young Power in Social Action (YPSA) initiated the "High Value Fruit and Crops Varieties Extension and Marketing Sub-Project." Operating in the Chattogram district, this initiative aims to foster robust microenterprises through technological extension, Good Agricultural Practices (GAP) implementation and enhanced financial inclusion.
Recent evidence from Bangladesh has increasingly examined agricultural diversification, market access, and their relationships with household dietary diversity and nutritional outcomes. Alam et al.
| [13] | Alam MJ, Begum IA, Mastura T, Woodhill J, Chatterjee K, Jackson T. Agricultural diversification and intra-household dietary diversity: Panel data analysis of farm households in Bangladesh. PLOS ONE. 2023; 18(6): e0287321.
https://doi.org/10.1371/journal.pone.0287321 |
[13]
used nationally representative panel data to demonstrate that agricultural production diversification is positively associated with improved dietary diversity among individual members of farm households in Bangladesh. Similarly, Kabir et al.
| [14] | Kabir MR, Halima O, Rahman N, Ghosh S, Islam MS, Rahman H. Linking farm production diversity to household dietary diversity controlling market access and agricultural technology usage: Evidence from Noakhali district, Bangladesh. Heliyon. 2022; 8(1): e08755.
https://doi.org/10.1016/j.heliyon.2022.e08755 |
[14]
showed that farm production diversity was positively associated with household dietary diversity and that market accessibility and improved irrigation influenced this relationship. These studies demonstrate the importance of production diversity, market access, and agricultural technology in shaping household and individual dietary outcomes. Recent research has also documented the growing importance of digital financial services and technology-enabled agricultural value chains in improving farmers' access to markets, finance, credit, insurance, and agricultural services
| [15] | Rashid MRA, Hasan M, Islam MA, Tasnim ST, Taifa RJ, Mahbub S, Mansoor N, Ali MS, Jabid T, Islam M, Islam MM. Transforming agri-food value chains in Bangladesh: A practical application of blockchain for traceability and fair pricing. Heliyon. 2024; 10(21): e40091.
https://doi.org/10.1016/j.heliyon.2024.e40091 |
| [16] | Prodhan MM, Jalal MJ, Alam H, Mostofa MS, Khondker BH, Khan MA. State and potential of digital financial services among farmers in Bangladesh: An in-depth study. Journal of Agriculture and Food Research. 2024; 16: 1-7.
https://doi.org/10.1016/j.jafr.2024.101209 |
[15, 16]
. However, the effective use of these digital services remains constrained by limited digital literacy, operational barriers, and uneven adoption among farmers
| [16] | Prodhan MM, Jalal MJ, Alam H, Mostofa MS, Khondker BH, Khan MA. State and potential of digital financial services among farmers in Bangladesh: An in-depth study. Journal of Agriculture and Food Research. 2024; 16: 1-7.
https://doi.org/10.1016/j.jafr.2024.101209 |
[16]
. These studies provide important evidence on individual components of agricultural transformation; however, most have focused on specific relationships, single outcome domains, or technology specific applications rather than evaluating multiple dimensions of agricultural transformation within a unified intervention framework.
Consequently, an important evidence gap remains regarding integrated evaluations that simultaneously examine technological modernization, digital adoption, financial inclusion, market integration, socioeconomic transformation, and nutritional outcomes within a single intervention framework. In particular, although recent Bangladesh-based studies have examined agricultural diversification and dietary outcomes, farm production diversity, market accessibility, agricultural technology use, digital financial services, and blockchain-enabled value-chain systems, these studies have generally not combined a baseline-endline comparison with a contemporaneous non-intervened control group to assess how a high-value horticultural commercialization intervention influences these interconnected outcomes
| [13] | Alam MJ, Begum IA, Mastura T, Woodhill J, Chatterjee K, Jackson T. Agricultural diversification and intra-household dietary diversity: Panel data analysis of farm households in Bangladesh. PLOS ONE. 2023; 18(6): e0287321.
https://doi.org/10.1371/journal.pone.0287321 |
| [14] | Kabir MR, Halima O, Rahman N, Ghosh S, Islam MS, Rahman H. Linking farm production diversity to household dietary diversity controlling market access and agricultural technology usage: Evidence from Noakhali district, Bangladesh. Heliyon. 2022; 8(1): e08755.
https://doi.org/10.1016/j.heliyon.2022.e08755 |
| [15] | Rashid MRA, Hasan M, Islam MA, Tasnim ST, Taifa RJ, Mahbub S, Mansoor N, Ali MS, Jabid T, Islam M, Islam MM. Transforming agri-food value chains in Bangladesh: A practical application of blockchain for traceability and fair pricing. Heliyon. 2024; 10(21): e40091.
https://doi.org/10.1016/j.heliyon.2024.e40091 |
| [16] | Prodhan MM, Jalal MJ, Alam H, Mostofa MS, Khondker BH, Khan MA. State and potential of digital financial services among farmers in Bangladesh: An in-depth study. Journal of Agriculture and Food Research. 2024; 16: 1-7.
https://doi.org/10.1016/j.jafr.2024.101209 |
[13-16]
. This study addresses this gap by conducting an integrated comparative evaluation of the High Value Fruits and Crops (HVF&C) intervention among smallholder farmers in Chattogram, Bangladesh. Specifically, the study assesses changes in technological modernization, including climate-smart and selected digital technologies, market integration, financial access, socioeconomic outcomes, and women's dietary diversity, comparing beneficiary outcomes with their 2022 baseline status and with a comparable 2025 non-intervened control cohort.
2. Methodology
2.1. Study Area
The research was conducted in the Chattogram District of southeastern Bangladesh, an area characterized by diverse topography suitable for horticulture but historically constrained by traditional farming paradigms. The treatment (beneficiary) areas comprised Sitakunda Upazila (specifically the unions of Bariyardhala, Sitakunda Sadar, Muradpur, Barbakund, Banshbaria, Bara Kumira, Sonaichari and Bhatiari) and Mirsarai Upazila (Wahedpur, Khaiyachara and Mirsarai). Hathazari Upazila (Fatehpur, 1 no. Chatogram City Corporation and Chikomdondi) was strategically selected as the control area due to its comparable agro-ecological and socio-demographic baseline characteristics, lacking the specific project interventions.
2.2. Research Design, Sampling Strategy and Sample Size
The baseline (2022) and endline (2025) surveys were conducted using independent cross-sectional samples. Therefore, the same households were not tracked longitudinally. The study employed a mixed-methods, experimental research design utilizing a Baseline (2022), Endline (2025) comparative framework, augmented by an Endline Control Group (2025) to isolate project impacts. In Baseline survey (2022) required baseline sample size (n) was mathematically derived using the standard formula for proportions: Primary data were collected from a total 496 number of samples. As per standard proportion (UP: Ultra Poor 10%, TP: Transitional Poor 19%, EP: Entrepreneur Poor 71%) area and poverty wise sample has been taken. To assess the existing value chain for high value fruits and crops of that selected Upazilla 46 numbers of sample were taken from different marketing channel; another 41 numbers of sample were selected from the researchers of different organizations.
In Endline survey (2025) the target population consisted of 6,038 project beneficiaries comprising marginal farmers, micro-entrepreneurs and value chain actors. A stratified cluster sampling technique was applied. The project areas of Mirsarai and Sitakunda were stratified into unions and villages (clusters). Applying Cochran’s formula for statistical significance yielded a target of 361 beneficiary households. To satisfy robust evaluation criteria and fulfill project mandates, an additional 20% control group (N=72) was sampled from Hathazari Upazila. Thus, the total quantitative sample size for the endline comparison was N=433.
A baseline survey was not conducted in the control area. Therefore, pre-intervention equivalence between the treatment and control groups could not be statistically verified. The control group was selected based on its agro-ecological and socio-demographic similarity to the intervention areas; however, this study design does not permit definitive causal attribution of observed differences solely to the intervention.
2.3. Data Collection Procedures
Data collection utilized a rigorous framework for both periods. Extensive reviews of regional horticultural marketing channels informed the preparation of diverse, semi-structured questionnaires. These targeted HVF&C production, consumption (MDD-W for females aged 18-45), marketing channels, local value chains, income shifts and institutional support. Authentic data, speeches and documents were cross-referenced with top authorities (e.g., UAO, RARS, HARS, PTCBL, local government). Digital photography was utilized to frame and authenticate different steps during the field investigation. Qualitative data were gathered concurrently until data saturation, utilizing purposive sampling. The endline involved six Focus Group Discussions (FGDs, 10-20 participants), 63 Key Informant Interviews (KIIs) spanning value chain actors and six In-Depth Interviews (IDIs) with prominent entrepreneurs.
2.4. Nutritional Assessment (MDD-W)
Nutritional outcomes were assessed using the FAO validated Minimum Dietary Diversity for Women (MDD-W) indicator. Dietary recall data (24-hour) were collected for women of reproductive age across all surveyed households. Consumption was categorized into standard food groups. A score of ≥ 5 food groups indicated adequate minimum dietary diversity.
2.5. Statistical Analysis
Collected primary data were digitally encoded into Microsoft Excel 2013 for basic descriptive statistics and the calculation of Standard Deviations (SD). Comparative analyses to measure intervention impacts across the Baseline, Endline Beneficiary and Endline Control cohorts. Qualitative data underwent thematic analysis to triangulate statistical trends.
3. Results
3.1. Overall Baseline-Endline Socio-Demographic Changes
The intervention period observed changes in the socio-demographic and educational profiles of the farming communities (
Table 1). At baseline (2022), a significant portion of the beneficiary population faced educational deficits, with 38.90% possessing no formal education. By the 2025 endline, literacy and educational engagement had increased; the illiteracy rate dropped to 29.4%. Female participation increased and youth into the agricultural enterprise sector. Female participation grew from 9.52% at baseline to 16.9% at endline. Crucially, 62.71% of the endline beneficiary cohort fell within the 25-35 years age bracket, compared to only 19.32% in the control group.
Table 1. Demographic and educational profile of farmers.
Characteristic | Categories | Baseline Beneficiaries (N=496;%) | Endline Beneficiaries (N=361;%) | Endline Control (N=72;%) |
Gender | Male | 90.48 | 83.10 | 92.56 |
Female | 9.52 | 16.90 | 7.44 |
Age distribution | < 25 years | 15.60 | 8.64 | 11.12 |
25 - 35 years | 38.30 | 62.71 | 19.32 |
35 - 45 years | 25.20 | 18.50 | 30.16 |
45 and Above | 21.00 | 10.05 | 39.40 |
Education level | No formal education / Illiterate | 38.90 | 29.40 | 29.17 |
Primary | 25.70 | 35.30 | 38.89 |
Secondary | 29.00 | 28.90 | 30.56 |
Higher Secondary / Above | 6.40 | 6.40 | 1.39 |
Occupational structures diversified significantly (
Table 2). While agriculture remained the primary occupation (93.35% for beneficiaries at endline), secondary off-farm livelihoods expanded to build household resilience against agrarian shocks.
Table 2. Primary and secondary occupational structure.
Occupation | Categories | Baseline Beneficiaries (%) | Endline Beneficiaries (%) | Endline Control (%) |
Main occupation | Farming/Agriculture | 87.20 | 93.35 | 98.61 |
Livestock | - | 25.76 | 36.11 |
Business/Trading | 3.70 | 10.80 | 9.72 |
Housewife | - | 3.88 | - |
Daily Labour | 3.70 | 9.97 | 6.94 |
Secondary occupation | Handicrafts | 12.70 | 25.48 | 18.06 |
Business | 46.80 | 26.32 | 30.56 |
Day labor | 27.70 | 23.55 | 27.78 |
Others/Service/Remittance | 12.80 | 58.73 | 47.22 |
3.2. Income and Economic Outcomes
The transition to HVF&C cultivation was associated with increased income (
Table 3). Average monthly primary income for entrepreneurs increased from 4,758.14 ± 2,453.26 BDT at baseline to 14,826.87 ± 9,188.67 BDT at endline. In contrast, the control group's average sat at 12,743.06 ± 6,515.96 BDT. For main occupations, 63.2% of beneficiaries now earn over 10,000 BDT monthly, compared to 54.2% of the control. The divergence in secondary income is also higher, with 67.1% of beneficiaries earning over 5,000 BDT monthly compared to just 25.0% of the control group.
Table 3. Monthly income distribution (Main and Secondary occupations).
Monthly income range (BDT) | Range | Endline Beneficiaries (%) | Endline Control (%) |
Income by main occupation | Less than 5,000 | 7.8 | 2.8 |
5,001 - 10,000 | 29.0 | 43.1 |
10,001 - 20,000 | 43.7 | 43.1 |
20,001 - 30,000 | 12.5 | 9.7 |
30,001 - 50,000 | 7.0 | 1.4 |
Income by secondary occupation | Less than 5,000 | 32.9 | 75.0 |
5,001 - 10,000 | 48.9 | 16.7 |
10,001 - 20,000 | 14.6 | 6.9 |
Table 4 explicitly connects this to HVF&C cultivation: 68.3% of beneficiaries experienced post-cultivation income increases exceeding 10%, a growth tier reached by only 36.1% of the control group. Economically, beneficiaries were twice as likely to gain better access to capital (69.9% vs. 33.3%) and nearly three times as likely to increase savings (67.9% vs. 25.0%).
Table 4. Economic impact and income increases post cultivation.
Indicator | Categories | Endline Beneficiaries (%) | | Endline Control (%) |
Income increase post HVF&C | 0 - 10% Increase | 31.4 | | 62.5 |
11 - 25% Increase | 54.2 | | 34.7 |
26 - 50% Increase | 14.1 | | 1.4 |
Reported economic changes | Better access to capital | 69.9 | | 33.3 |
Increased savings | 67.9 | | 25.0 |
Asset creation | 39.0 | | 20.8 |
3.3. Agricultural Production and Technological Adoption
Table 5 shows changes in crop selection and the adoption of farming practices and the adoption of standardized farming practices. While historically heavily reliant on subsistence rice (82.27%) and basic vegetables (70.64%), 91.9% of the endline beneficiary cohort transitioned to high-value fruit cultivation. Among the beneficiaries, 39.1% reported adopting drip or sprinkler irrigation systems (drip/sprinkler), a technology virtually non-existent at baseline and unobserved in the control group.
Table 5. Cultivation shifts and adoption of irrigation technologies.
Indicator | Categories | Endline Beneficiaries (%) | Endline Control (%) |
Previous cultivation focus | Rice | 82.27 | 75.0 |
Vegetables | 70.64 | 62.5 |
Fruit Orchard | 12.19 | 8.3 |
Current adoption of Drip/Sprinkler | No | 60.9 | 100.0 |
Yes, Drip | 29.2 | 0.0 |
Yes, Sprinkler | 5.2 | 0.0 |
Both | 4.6 | 0.0 |
As shown in
Table 6, beneficiaries reported several benefits associated with these technologies. Beneficiaries reported that irrigation modernization directly contributed to reduced water use (30.0%), increased yields (22.5%) and reduced labor costs (21.3%). A proportion of beneficiaries reported using digital technologies, including IoT-based farm management, crowdfunding platforms, and blockchain-related tools to 7-14% of producers, indicating emerging digital technology use among the surveyed producers in rural microenterprises.
Table 6. Benefits observed from irrigation and high technology adoption.
Indicator | Categories | Endline Beneficiaries (%) |
Benefits of Drip/Sprinkler systems | Reduced water use | 30.0 |
Increased yield | 22.5 |
Reduced labor cost | 21.3 |
Adoption of advanced technologies | IoT for farm management | 13.0 |
Crowd funding Platform | 14.4 |
Block Chain | 7.2 |
3.4. Input Sourcing and Financial Access
Table 7 illustrates enhanced input sourcing methodologies. Unlike the control group, which relied almost exclusively on localized private nurseries (87.5%), beneficiaries diversified their procurement, heavily utilizing government institutions (42.38%) and online/mobile platforms (9.97%). To assure quality, beneficiaries leveraged formal verification, with 41.0% procuring exclusively from registered institutions.
Table 7. Sources and quality assurance of HVF seeds/saplings.
Indicator | Categories | Endline Beneficiaries (%) | Endline Control (%) |
Sources of Seeds/Saplings | From a nursery | 69.25 | 87.5 |
Government institution | 42.38 | 11.1 |
Private institution | 28.81 | 38.9 |
Online/mobile | 9.97 | 0.0 |
Methods to ensure quality | Visual: healthy saplings | 66.2 | 77.78 |
Visual: disease-free | 45.2 | 52.78 |
From a registered institution | 41.0 | 22.22 |
Access to financial support was examined as a factor associated with agricultural commercialization. As outlined in
Table 8, 77.1% of beneficiaries received direct financial support from the RMTP via YPSA, while 78.4% accessed external banking support. Conversely, respondents in the control group reported high interest rates (94.3%) and complicated procedures (88.6%) as major barriers to financial access.
Table 8. Financial access and constraints.
Indicator | Categories | Endline Beneficiaries (%) | Endline Control (%) |
Received project financial support | Yes | 77.1 | 19.44 |
Received external bank support | Yes | 78.4 | 52.8 |
Major constraints to finance | High interest rates | 17.73 | 94.3 |
Lack of collateral/guarantee | 16.34 | 77.1 |
Complicated procedures | 13.57 | 88.6 |
3.5. Market Integration and Value Chain Dynamics
Beneficiaries reported lower levels of post-harvest losses than the control group (
Table 9). Only 7.5% of beneficiaries reported post-harvest losses exceeding 10%, whereas 43.1% of the control group suffered losses in the 11-25% range. The control group frequently reported infrastructure-related factors to infrastructural deficits lack of advanced harvesting tech (94.4%) and missing storage (84.7%) complaints that were reduced to below 40% for beneficiaries through targeted project interventions.
Table 9. Biggest challenges in HVF&C cultivation and post-harvest losses.
Indicator | Categories | Endline Beneficiaries (%) | Endline Control (%) |
Biggest cultivation challenges | Lack of technical knowledge | 44.88 | - |
Lack of access to finance | 41.83 | - |
Estimated post-harvest loss | Less than 5% | 42.8 | 16.7 |
5 - 10% | 49.1 | 40.3 |
11 - 25% | 7.5 | 43.1 |
Reasons for post-harvest spoilage | Lack of fruit storage facilities | 39.1 | 84.7 |
Lack of processing facilities | 37.1 | 77.8 |
Lack of advanced harvesting tech | 31.6 | 94.4 |
Table 10. Value chain actor insights (Endline beneficiary areas).
Actor and indicator | Findings (Beneficiary areas) |
HVF large producers (n=5) |
Monthly income | Mean: 79.6k BDT |
Adopted climate adaptive tech and fruit bagging | 100.0% |
Primary constraint | High interest rates / Collateral (75.0%) |
Agro machinery sellers (n=4) |
Revenue from HVF farmers | 50.0% derive 61-80% of revenue from HVF |
Business revenue change | 75.0% reported moderate to significant increase |
Local fruit collectors (n=2) |
Technology adoption | 100% use plastic crates and mobile phones for pricing |
Super shops (n=4) |
HVF demand change | 75.0% reported significant increase |
Daily sales volume | 100% sell 26-50 kg daily |
Transport agencies (n=4) |
Quality management | 100% use proper packaging, timely transport, careful loading |
Spoilage rate change | 75.0% reported decrease in spoilage rates |
Table 10 confirms The findings suggest that changes associated with commercialization extended across several stages of the value chain. Large producers are universally adopting quality enhancing technologies (fruit bagging) and climate-adaptive methods. Agro machinery sellers and Super Shops report reported revenue and demand increases associated with the HVF&C sector. Transport agencies are implementing quality controls that correlate with the reduced post-harvest losses observed among producers.
3.6. Nutritional Outcomes (MDD-W) and Women's Empowerment
Nutritional outcomes were assessed using the MDD-W indicator, measured via MDD-W. At endline, 61.77% of beneficiary women achieved an adequate MDD-W score (consuming ≥ 5 food groups), maintaining the high baseline standard (91.36%). This differed from the control group, where 77.8% of women consumed inadequately diverse diets (<5 food groups). The high MDD-W achievement among beneficiaries is driven by 100% reported consumption of grains, pulses and fats/seeds, alongside 99.72% reported consumption of meat/poultry/fish. Compared to baseline, protein intake surged. Conversely, the control group exhibited lower dietary diversity, heavily reliant on grains, with pulse consumption at only 34.72% and fats at 25.00%.
The findings indicated changes in women’s participation in financial and agricultural decision-making in gender empowerment (
Table 11). Among endline beneficiaries, 99.45% of women reported increased involvement in financial decision-making (42.98% noting significant increases). Similarly, agricultural decision-making power increased for 99.21% of beneficiary women, compared with the levels reported in the control group.
Table 11. Women's involvement in decision making.
Indicator | Changes | Endline Beneficiary (%) | Endline Control (%) |
Financial decision making | Significantly increased | 42.98 | 13.89 |
Somewhat increased | 56.47 | 68.05 |
Not at all | 0.55 | 18.06 |
Agricultural decisions | Significantly increased | 48.28 | 26.39 |
Somewhat increased | 50.93 | 70.83 |
Not at all | 0.80 | 2.78 |
3.7. Comprehensive Logframe Indicator Assessment
To assess changes across the project logframe indicators,
Table 12 presents a comprehensive cross-sectional matrix of 24 core project logframe indicators, showing higher values for several indicators among the endline treatment group against both their own 2022 baseline and the 2025 control parameters. The adoption of Safe Agriculture (96.40% vs. 41.67% control), GAP (96.9% vs. 23.7% control) and overall market linkage (71.75% vs. 30.56% control) indicate substantial differences between the treatment and control groups.
Table 12. Comprehensive logframe performance indicators (Baseline vs. Endline Treatment vs. Endline Control).
Performance Indicator | Baseline | Endline Treatment | Endline Control |
Average primary monthly income (BDT) | 4,758.14 ± 2,453.26 | 14,826.87 ± 9,188.67 | 6,743.06 ± 3,515.96 |
Intake of ≥ 5 nutritious food items | 23.61% | 61.77% | 27.78% |
Safe agriculture adoption (IPM, Eco-farming) | 29.24% | 96.40% | 41.67% |
Average secondary monthly income (BDT) | 3,133.56 ± 1,841.73 | 7,535 ± 5,172 | 4,513.89 ± 4,271.57 |
Entrepreneurs reporting structural profit growth | <10% | 65.66% | 29.17% |
Practice of Good Agricultural Practices (GAP) | <25% | 96.90% | 23.70% |
Utilization of active marketing linkages | ~28.00% | 71.75% | 30.56% |
Availability/intake of necessary HVF&C inputs | ~23.18% | 54.29% | 19.44% |
Received agro-machinery consultancy | <10% | ~35.00% | <10% |
Demonstrating knowledge of HVF&C cultivation | <10% | 100.00% | <20% |
Execution of formal supplier/nursery agreements | <10% | 43.68% | 10.33% |
Increase in quality seedling production capacity | -- | ~35% | <10% |
Timely access to inputs/services via centers | -- | ~25% | <10% |
Increased access to machinery via dealers | -- | ~20% | <10% |
Received formal HVF&C cultivation training | <10% | ~100% | <20% |
Nurseries with established mother stock | 0 | 4 | 0 |
Target audience reached via online marketing | <5% | 15.24% | 8.34% |
Planned demonstration plots established | 0 | ~10% | 0 |
Planned Memoranda of Understanding executed | 0 | ~10% | 0 |
Farmers collecting seed/saplings from govt. | <10% | 52.00% | 11.10% |
Adopting mechanized production/traceability | <20% | ~77.00% | <30% |
Attending Production and Sales Meetings (PSPMs) | <5% | 71.40% | <10% |
Attending organized field day events | <10% | 94.40% | 2.80% |
Upgraded/installed modern irrigation systems | Negligible | 39.10% | Very Low |
4. Discussion
The empirical findings from the Baseline-Endline-Control comparison are consistent with the project intervention as a was associated with changes in for rural agricultural transformation in Chattogram. The increase in primary monthly income (from 4,758.14 ± 2,453.26 BDT to 14,826.87 ± 9,188.67 BDT) and the increase in the proportion of 91.9% of the beneficiary cohort toward high-value fruit cultivation confirm the theoretical frameworks posited by Birthal
et al. , which argue that crop diversification toward non-staple, high-value commodities is a prerequisite for liberating smallholders from the poverty trap of subsistence farming. The control group’s lower observed values underscores that mere proximity to urban centers is insufficient; structural interventions, specifically targeted financial inclusion (77.1% YPSA support) and technical capacitation (96.9% GAP adoption), are required to overcome the capital and knowledge constraints highlighted by Barrett
.
Technological modernization was a an important component of this transformation. The adoption of modern irrigation (drip and sprinkler systems) by nearly 40% of beneficiaries was associated with reduced the climate induced vulnerabilities characteristic of coastal agriculture. As supported by FAO
| [18] | FAO. FAO Guidelines for Measuring Household and Individual Dietary Diversity. Rome, Italy: Food and Agriculture Organization; 2016. p. 1-60. |
[18]
and Arslan
et al. | [19] | Arslan A, McCarthy N, Lipper L, Asfaw S, Cattaneo A, Kokwe M. Climate smart agriculture? Assessing the adaptation implications in Zambia. Journal of Agricultural Economics. 2015; 66(3): 753-80. https://doi.org/10.1111/1477-9552.12107 |
[19]
, climate smart agricultural tools not only optimize water use (30% reduction) but simultaneously boost yields (22.5% increase) and labor efficiency. Notably, the project’s introduction of emerging digital platforms (IoT, Crowd funding, Block chain) to 7-14% of the cohort represents a nascent but pivotal step toward digitalizing rural microenterprises, addressing the information asymmetry identified by Jack
| [20] | Jack BK. Market inefficiencies and the adoption of agricultural technologies in developing countries. Agricultural Economics. 2013; 44(1): 1-14. |
[20]
as a primary barrier to market efficiency.
The integration of producers into functional, multi actor value chains decisively mitigated post-harvest losses, a chronic vulnerability in South Asian supply chains
. By facilitating formal marketing agreements (43.68% for beneficiaries vs. 10.33% control) and promoting online/mobile procurement, the project may have provided additional marketing options for farmers. The systemic upgrades reported by large collectors, super shops and transport agencies such as universal adoption of plastic crates and active quality management demonstrate that smallholder commercialization induces positive spillover effects, upgrading the entire meso-level agri-food ecosystem
| [22] | Reardon T. The hidden middle: the quiet revolution in the midstream of agrifood value chains in developing countries. Oxf Rev Econ Policy. 2015; 31(1): 45-63.
https://doi.org/10.1093/oxrep/grv011 |
[22]
. However, the persistence of constraints such as high interest rates and the lack of localized cold storage indicates that while farm level efficiency has peaked, macro-level infrastructural investments remain necessary.
Crucially, the economic dividends of commercialization were accompanied by higher MDD-W adequacy and gender empowerment. The maintenance of high MDD-W adequacy (61.77%) among beneficiary women, juxtaposed against the severe dietary monotony of the control group (77.8% inadequate), illustrates the potential contribution of nutrition sensitive agricultural commercialization
. The universal intake of proteins and micronutrient rich vegetables directly correlates with the diversified income portfolios that allowed households to purchase non-farm foods. Furthermore, the near universal inclusion of women in financial and agricultural decision making (>99%) supports the findings of Sraboni
et al. , affirming that inclusive value chain development not only increases household wealth but was associated with increased participation in household decision making, fostering sustainable community resilience.
5. Study Limitations
Several limitations should be considered when interpreting these findings. First, much of the information, including income, agricultural practices, financial outcomes, post-harvest losses and decision-making, was self-reported and may therefore be affected by recall and social desirability bias. Second, although the control area was selected for its comparable agro-ecological and socio-demographic characteristics and absence of the intervention, it was not randomly allocated. Thus, unobserved differences between beneficiary and control areas may have influenced the results. Third, the baseline and endline surveys represent repeated cross sectional assessments rather than confirmed longitudinal tracking of the same respondents; differences in sample composition may therefore have contributed to observed changes. Finally, because the study was conducted in selected upazilas of Chattogram, Bangladesh, its findings should be generalized cautiously to other contexts. Future studies should use longitudinal tracking and rigorously matched or randomized comparison groups.
6. Conclusion
The comparative evaluation of the High Value Fruits and Crops project indicates that targeted interventions in technological extension, financial inclusion and value chain integration may support the transition of farmers from subsistence to profitable commercial agribusinesses. Over the implementation period, beneficiaries achieved increases in primary and secondary income, accompanied by a high reported adoption of Good Agricultural Practices (96.9%) and a significant uptake of climate-smart irrigation systems. By circumventing traditional market bottlenecks through formalized multi actor linkages, post-harvest losses were was lower among beneficiaries. In addition, these economic gains translated directly into robust nutritional security, with 61.77% of beneficiary women achieving adequate dietary diversity, alongside increased participation in intra household gender empowerment. To ensure the long term sustainability of these outcomes, future policy frameworks must prioritize the expansion of decentralized cold-storage infrastructure and the development of agriculture sensitive, low interest credit products. Ultimately, this intervention serves as a may offer lessons for the design of similar interventions for achieving the Sustainable Development Goals (SDGs) of zero hunger, gender equality and sustainable economic growth in developing agrarian economies.
Abbreviations
BDT | Bangladesh Taka |
CSA | Climate Smart Agriculture |
DANIDA | Danish International Development Agency |
EP | Entrepreneur Poor |
FAO | Food and Agriculture Organization |
FGDs | Focus Group Discussions |
GAP | Good Agricultural Practices |
HARS | Horticultural Agriculture Research Station |
HVF&C | High Value Fruits and Crops |
IDIs | In-Depth Interviews |
IFAD | International Fund for Agricultural Development |
IoT | Internet of Things |
KIIs | Key Informant Interviews |
MDD-W | Minimum Dietary Diversity for Women |
PKSF | Palli Karma-Sahayak Foundation |
PTCBL | Plant Tissue Culture and Biotechnology Laboratory |
RARS | Regional Agricultural Research Station |
RMTP | Rural Microenterprise Transformation Project |
SD | Standard Deviations |
SDGs | Sustainable Development Goals |
TP | Transitional Poor |
UAO | Upazila Agriculture Officer |
UP | Ultra Poor |
YPSA | Young Power in Social Action |
Acknowledgments
The authors gratefully acknowledge Md. Arifur Rahman, Chief Executive; Md. Manzur Murshed Chowdhuri, Director, Economic Development; Md. Newaz Mahmud, Program Manager and Mr. Suman Deb Nath, Project Manager, YPSA, Chattogram, for their financial support, encouragement and valuable guidance throughout the baseline survey. We also extend our sincere appreciation to Akond Md Rafiqul Islam, Senior General Manager, PKSF, Dhaka, Bangladesh, for his valuable advice and support during the data collection and field study.
We sincerely thank all the farmers and women who participated in the study from the Sitakunda, Mirsarai and Hathazari upazilas of Chattogram for generously giving their time and providing accurate information.
We are also grateful to the enthusiastic students of the Department of Botany, University of Chittagong, for their dedicated efforts and active participation. In particular, we acknowledge Rokeya Akter Rita, Md. Abdul Alim, Abu Taum, Tama Bhowmik, Priota Datta Orpa, Suranjona Tripura, Mohammad Mijanur Rahman and U Khai Wai Marma for their diligent contributions to data collection and data entry. Our appreciation also goes to Md Delowar Hossen, Project Assistant, Endline Evaluation of High Value Fruits and Crops Extension and Marketing Sub Project, Chattogram, Bangladesh.
Finally, we gratefully acknowledge the Department of Botany, University of Chittagong, particularly the Plant Tissue Culture and Biotechnology Laboratory, for providing the necessary laboratory facilities and equipment essential for the completion of this work.
Author Contributions
Tapash Kumar Bhowmik: Conceptualization, Data curation, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Writing – original draft, Writing – review & editing
Minhajur Rahman: Data curation, Investigation, Methodology, Project administration, Resources, Supervision, Writing – original draft
Md. Abul Kashem: Data curation, Investigation, Methodology, Project administration, Resources, Supervision, Writing – original draft
Sujan Rudra: Formal Analysis, Methodology, Resources, Visualization, Software
Md. Shakhawat Hossain: Data curation, Investigation
Shahriar Arafat: Data curation, Investigation
Mira Barua: Data curation, Investigation
Ummay Sayeda Tabassum: Data curation, Investigation
Georgia Chakma: Data curation, Investigation
Chayan Kumer Saha: Data curation, Investigation
Funding
This evaluation research was supported and facilitated under the Rural Microenterprise Transformation Project (RMTP), jointly financed by PKSF, IFAD and DANIDA.
Data Availability Statement
The raw quantitative datasets, interview transcripts and statistical analytical outputs supporting the conclusions of this manuscript are retained by the executing agency (YPSA) and will be made available by the corresponding author upon reasonable academic request, subject to privacy restrictions.
Conflicts of Interest
The authors declare no conflicts of interest.
References
| [1] |
Hazell PBR, Wood S. Drivers of change in global agriculture. Philosophical Transactions of the Royal Society B: Biological Sciences. 2008; 363(1491): 495-515.
https://doi.org/10.1098/rstb.2007.2166
|
| [2] |
Joshi PK, Gulati A, Birthal PS, Tewari L. Agriculture diversification in South Asia: Patterns, determinants and policy implications. Economic and Political Weekly. 2004; 39(24): 2457-2467.
https://doi.org/10.2307/4415148
|
| [3] |
Weinberger K, Lumpkin TA. Diversification into horticulture and poverty reduction: A research agenda. World Development. 2007; 35(8): 1464-1480.
https://doi.org/10.1016/j.worlddev.2007.05.002
|
| [4] |
Barrett CB. Smallholder market participation: concepts and evidence from eastern and southern Africa. Food Policy. 2008; 33(4): 299-317.
https://doi.org/10.1016/j.foodpol.2007.10.005
|
| [5] |
Ahsan MB, Leifeng G, Azam FMS, Xu B, Rayhan SJ, Kaium A, Wensheng W. Barriers, challenges, and requirements for ICT usage among sub-assistant agricultural officers in Bangladesh: Toward sustainability in agriculture. Sustainability. 2023; 15(1): 1-27.
https://doi.org/10.3390/su15010782
|
| [6] |
Porciello J, Coggins S, Mabaya E, Otunba-Payne G. Digital agriculture services in low- and middle-income countries: A systematic scoping review. Global Food Security. 2022; 34: 100640.
https://doi.org/10.1016/j.gfs.2022.100640
|
| [7] |
Prodhan MMH, Jalal MJE, Alam H, Mostofa MS, Khondker BH, Khan MA. State and potential of digital financial services among farmers in Bangladesh: An in-depth study. Journal of Agriculture and Food Research. 2024; 16: 101209.
https://doi.org/10.1016/j.jafr.2024.101209
|
| [8] |
Rashid MRA, Hasan M, Islam MA, Tasnim ST, Taifa RJ, Mahbub S, Mansoor N, Ali MS, Jabid T, Islam M, Islam MM. Transforming agri-food value chains in Bangladesh: A practical application of blockchain for traceability and fair pricing. Heliyon. 2024; 10(21): e40091.
https://doi.org/10.1016/j.heliyon.2024.e40091
|
| [9] |
Pingali P. Agricultural policy and nutrition outcomes getting beyond the preoccupation with staple grains. Food Sec. 2015; 7(3): 583-591.
https://doi.org/10.1007/s12571-015-0461-x
|
| [10] |
Ruel MT, Alderman H. Maternal and Child Nutrition Study Group. Nutrition-sensitive interventions and programs: how can they help to accelerate progress in improving maternal and child nutrition? Lancet. 2013; 382(9891): 536-551.
https://doi.org/10.1016/S0140-6736(13)60843-0
|
| [11] |
FAO. Climate-smart agriculture sourcebook. Food and Agriculture Organization of the United Nations. 2016; 1: 1-570.
|
| [12] |
Siddique A. Degraded soil threatens to exacerbate Bangladesh food crisis. Mongabay. 2022; 1(1): 1-5.
https://doi.org/10.66709/news-264272
|
| [13] |
Alam MJ, Begum IA, Mastura T, Woodhill J, Chatterjee K, Jackson T. Agricultural diversification and intra-household dietary diversity: Panel data analysis of farm households in Bangladesh. PLOS ONE. 2023; 18(6): e0287321.
https://doi.org/10.1371/journal.pone.0287321
|
| [14] |
Kabir MR, Halima O, Rahman N, Ghosh S, Islam MS, Rahman H. Linking farm production diversity to household dietary diversity controlling market access and agricultural technology usage: Evidence from Noakhali district, Bangladesh. Heliyon. 2022; 8(1): e08755.
https://doi.org/10.1016/j.heliyon.2022.e08755
|
| [15] |
Rashid MRA, Hasan M, Islam MA, Tasnim ST, Taifa RJ, Mahbub S, Mansoor N, Ali MS, Jabid T, Islam M, Islam MM. Transforming agri-food value chains in Bangladesh: A practical application of blockchain for traceability and fair pricing. Heliyon. 2024; 10(21): e40091.
https://doi.org/10.1016/j.heliyon.2024.e40091
|
| [16] |
Prodhan MM, Jalal MJ, Alam H, Mostofa MS, Khondker BH, Khan MA. State and potential of digital financial services among farmers in Bangladesh: An in-depth study. Journal of Agriculture and Food Research. 2024; 16: 1-7.
https://doi.org/10.1016/j.jafr.2024.101209
|
| [17] |
Birthal PS, Joshi PK, Roy D, Thorat A. Diversification in Indian agriculture toward high-value crops: the role of small farmers. Can J Agric Econ. 2013; 61(1): 61-91.
https://doi.org/10.1111/j.1744-7976.2012.01258.x
|
| [18] |
FAO. FAO Guidelines for Measuring Household and Individual Dietary Diversity. Rome, Italy: Food and Agriculture Organization; 2016. p. 1-60.
|
| [19] |
Arslan A, McCarthy N, Lipper L, Asfaw S, Cattaneo A, Kokwe M. Climate smart agriculture? Assessing the adaptation implications in Zambia. Journal of Agricultural Economics. 2015; 66(3): 753-80.
https://doi.org/10.1111/1477-9552.12107
|
| [20] |
Jack BK. Market inefficiencies and the adoption of agricultural technologies in developing countries. Agricultural Economics. 2013; 44(1): 1-14.
|
| [21] |
Kaminski J, Christiaensen L. Post-harvest loss in sub-Saharan Africa what do farmers say? Glob Food Sec. 2014; 3(3-4): 149-158.
https://doi.org/10.1016/j.gfs.2014.10.002
|
| [22] |
Reardon T. The hidden middle: the quiet revolution in the midstream of agrifood value chains in developing countries. Oxf Rev Econ Policy. 2015; 31(1): 45-63.
https://doi.org/10.1093/oxrep/grv011
|
| [23] |
Sraboni E, Malapit HJ, Quisumbing AR, Ahmed AU. Women’s empowerment in agriculture: What role for food security in Bangladesh? World Development. 2014; 61: 11-52.
https://doi.org/10.1016/j.worlddev.2014.03.025
|
Cite This Article
-
APA Style
Bhowmik, T. K., Rahman, M., Kashem, M. A., Rudra, S., Hossain, M. S., et al. (2026). Commercial Farming of High-Value Fruits and Crops:
A Baseline-Endline-Control Group Comparative Assessment in Mirsarai, Sitakunda and Hathazari, Chattogram, Bangladesh. Journal of Food and Nutrition Sciences, 14(5), 307-319. https://doi.org/10.11648/j.jfns.20261405.14
Copy
|
Download
ACS Style
Bhowmik, T. K.; Rahman, M.; Kashem, M. A.; Rudra, S.; Hossain, M. S., et al. Commercial Farming of High-Value Fruits and Crops:
A Baseline-Endline-Control Group Comparative Assessment in Mirsarai, Sitakunda and Hathazari, Chattogram, Bangladesh. J. Food Nutr. Sci. 2026, 14(5), 307-319. doi: 10.11648/j.jfns.20261405.14
Copy
|
Download
AMA Style
Bhowmik TK, Rahman M, Kashem MA, Rudra S, Hossain MS, et al. Commercial Farming of High-Value Fruits and Crops:
A Baseline-Endline-Control Group Comparative Assessment in Mirsarai, Sitakunda and Hathazari, Chattogram, Bangladesh. J Food Nutr Sci. 2026;14(5):307-319. doi: 10.11648/j.jfns.20261405.14
Copy
|
Download
-
@article{10.11648/j.jfns.20261405.14,
author = {Tapash Kumar Bhowmik and Minhajur Rahman and Md. Abul Kashem and Sujan Rudra and Md. Shakhawat Hossain and Shahriar Arafat and Mira Barua and Ummay Sayeda Tabassum and Georgia Chakma and Chayan Kumer Saha},
title = {Commercial Farming of High-Value Fruits and Crops:
A Baseline-Endline-Control Group Comparative Assessment in Mirsarai, Sitakunda and Hathazari, Chattogram, Bangladesh},
journal = {Journal of Food and Nutrition Sciences},
volume = {14},
number = {5},
pages = {307-319},
doi = {10.11648/j.jfns.20261405.14},
url = {https://doi.org/10.11648/j.jfns.20261405.14},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jfns.20261405.14},
abstract = {The transition from subsistence farming to commercial agriculture is critical for rural poverty alleviation and food security. This study evaluates the impact of the "High Value Fruits and Crops (HVF&C) Varieties Extension and Marketing Sub-Project" on technological adoption, market integration, economic outcomes and nutritional security in Chattogram, Bangladesh. A mixed-methods baseline-endline-control group comparative design was employed. Evaluated parameters included income, agricultural practices, technological uptake and Minimum Dietary Diversity for Women (MDD-W). The intervention was associated with substantial socioeconomic changes among the beneficiaries. Monthly primary income for treatment entrepreneurs increased 14,826.87 ± 9,188.67 BDT at endline, compared to 4,758.14 ± 2,453.26 BDT at baseline and 12,743.06 ± 6,515.96 BDT for the control group. Beneficiaries reported substantial adoption of HVF&C cultivation (91.9%), adopting Good Agricultural Practices (96.9%) and safe agriculture (96.4%). Technology adoption increased with 39.1% of beneficiaries adopting modern irrigation and 77% utilizing mechanized production systems. Market linkages expanded, with 71.75% of beneficiaries securing active marketing channels, significantly mitigating post-harvest losses. Nutritional outcomes were higher among beneficiaries, 61.77% of beneficiary women achieved adequate MDD-W scores (≥ 5 food groups), contrasting sharply with 27.78% in the control group. Furthermore, women's empowerment in financial and agricultural decision making was reported by more than 99% of respondents among beneficiaries. The project was associated with a shift toward market oriented, technology enabled agribusiness microenterprises. By bridging gaps in technical knowledge, financial inclusion and value chain connectivity, the intervention offers a may provide useful evidence for similar interventions for advancing climate smart horticulture and rural nutritional security in South Asia.},
year = {2026}
}
Copy
|
Download
-
TY - JOUR
T1 - Commercial Farming of High-Value Fruits and Crops:
A Baseline-Endline-Control Group Comparative Assessment in Mirsarai, Sitakunda and Hathazari, Chattogram, Bangladesh
AU - Tapash Kumar Bhowmik
AU - Minhajur Rahman
AU - Md. Abul Kashem
AU - Sujan Rudra
AU - Md. Shakhawat Hossain
AU - Shahriar Arafat
AU - Mira Barua
AU - Ummay Sayeda Tabassum
AU - Georgia Chakma
AU - Chayan Kumer Saha
Y1 - 2026/09/24
PY - 2026
N1 - https://doi.org/10.11648/j.jfns.20261405.14
DO - 10.11648/j.jfns.20261405.14
T2 - Journal of Food and Nutrition Sciences
JF - Journal of Food and Nutrition Sciences
JO - Journal of Food and Nutrition Sciences
SP - 307
EP - 319
PB - Science Publishing Group
SN - 2330-7293
UR - https://doi.org/10.11648/j.jfns.20261405.14
AB - The transition from subsistence farming to commercial agriculture is critical for rural poverty alleviation and food security. This study evaluates the impact of the "High Value Fruits and Crops (HVF&C) Varieties Extension and Marketing Sub-Project" on technological adoption, market integration, economic outcomes and nutritional security in Chattogram, Bangladesh. A mixed-methods baseline-endline-control group comparative design was employed. Evaluated parameters included income, agricultural practices, technological uptake and Minimum Dietary Diversity for Women (MDD-W). The intervention was associated with substantial socioeconomic changes among the beneficiaries. Monthly primary income for treatment entrepreneurs increased 14,826.87 ± 9,188.67 BDT at endline, compared to 4,758.14 ± 2,453.26 BDT at baseline and 12,743.06 ± 6,515.96 BDT for the control group. Beneficiaries reported substantial adoption of HVF&C cultivation (91.9%), adopting Good Agricultural Practices (96.9%) and safe agriculture (96.4%). Technology adoption increased with 39.1% of beneficiaries adopting modern irrigation and 77% utilizing mechanized production systems. Market linkages expanded, with 71.75% of beneficiaries securing active marketing channels, significantly mitigating post-harvest losses. Nutritional outcomes were higher among beneficiaries, 61.77% of beneficiary women achieved adequate MDD-W scores (≥ 5 food groups), contrasting sharply with 27.78% in the control group. Furthermore, women's empowerment in financial and agricultural decision making was reported by more than 99% of respondents among beneficiaries. The project was associated with a shift toward market oriented, technology enabled agribusiness microenterprises. By bridging gaps in technical knowledge, financial inclusion and value chain connectivity, the intervention offers a may provide useful evidence for similar interventions for advancing climate smart horticulture and rural nutritional security in South Asia.
VL - 14
IS - 5
ER -
Copy
|
Download