Socio-economic Characteristics of Agripreneurs
The socioeconomic profile of the 52 agripreneurs surveyed during the study reveals insightful patterns in age, income, investment levels, and educational background. These characteristics play a significant role in shaping entrepreneurial behavior, resource utilization, and marketing strategies.
Age Distribution
The age of agripreneurs ranged from 20 to 50 years, with the majority (46.2%) falling in the 30–39 years category. Around 23.1% of the respondents were aged 20–29 years, 25.0% were in the 40–49 years bracket, and only 5.7% were aged 50 years and above. This indicates many agripreneurs belong to the young and middle-aged category, which is generally associated with greater energy, innovation, and openness to adopting new marketing strategies. These findings are supported by Lumpkin and Dess (1996) and Urbano and Turró (2013).
Monthly Income
The monthly income of agripreneurs showed considerable variation, ranging from ₹10,000 to ₹40,000. The highest proportion (34.6%) earned between ₹16,000 – ₹25,000, followed by 30.8% earning ₹26,000 – ₹35,000. About 19.2% earned less than ₹15,000 per month, while 15.4% reported incomes above ₹35,000. These figures reflect a mix of subsistence-level and moderately profitable agribusinesses, highlighting the need for targeted support and resource optimization. Most agripreneurs earning between ₹16,000 to ₹25,000 (34.6%) aligns with findings by Patel (2021), who reported that small-scale agribusiness owners often attain modest profitability due to limited capital investment and market access.
Investment in Agribusiness
Regarding investment, the majority (34.6%) had invested between ₹1,21,000 and ₹2,00,000 in their ventures. Around 26.9% invested between ₹71,000 and ₹1,20,000, while 23.1% had higher investments ranging from ₹2,01,000 to ₹3,00,000. Only 15.4% had investments below ₹70,000. These results suggest that many agripreneurs are willing to take financial risks and invest significantly in their businesses, reflecting entrepreneurial intent and growth orientation. The finding that the majority (34.6%) of agripreneurs invested between ₹1,21,000 and ₹2,00,000 reflects a strong entrepreneurial commitment, consistent with the observations of Mehta and Jha (2021), who reported that medium-scale investments often correlate with moderate business expansion and income growth.
Educational Background
Education levels varied among the agripreneurs, with 44.2% being graduates and 21.2% postgraduates, suggesting a relatively well-educated respondent base. Meanwhile, 25.0% had completed higher secondary education, and 9.6% had only secondary-level schooling. This indicates that many agripreneurs possess the educational background necessary to understand and apply entrepreneurial marketing principles effectively.
Table 1: Combined Socioeconomic Characteristics of Agripreneurs (n = 52)
|
Category
|
Range / Level
|
No. of Respondents
|
Frequency (%)
|
|
Age (Years)
|
20–29
|
12
|
23.10%
|
| |
30–39
|
24
|
46.20%
|
| |
40–49
|
13
|
25.00%
|
| |
50 and above
|
3
|
5.70%
|
|
Monthly Income
|
₹10,000 – ₹15,000
|
10
|
19.20%
|
| |
₹16,000 – ₹25,000
|
18
|
34.60%
|
| |
₹26,000 – ₹35,000
|
16
|
30.80%
|
| |
₹36,000 – ₹40,000
|
8
|
15.40%
|
|
Investment
|
₹30,000 – ₹70,000
|
8
|
15.40%
|
| |
₹71,000 – ₹1,20,000
|
14
|
26.90%
|
| |
₹1,21,000 – ₹2,00,000
|
18
|
34.60%
|
| |
₹2,01,000 – ₹3,00,000
|
12
|
23.10%
|
|
Education Level
|
Secondary
|
5
|
9.60%
|
| |
Higher Secondary
|
13
|
25.00%
|
| |
Graduation
|
23
|
44.20%
|
| |
Post-Graduation
|
11
|
21.20%
|
Entrepreneurial Marketing of Agripreneurs
Innovativeness
The analysis revealed that most respondents (67.30%) rated their organization’s innovativeness as high. Only 21.15% rated it low, while 11.54% fell into the moderate category. This suggests that most firms consider themselves capable of adopting novel marketing practices, pricing strategies, and communication approaches—an essential strength in today’s competitive landscape. Calantone et. al (2002) point out that firms with low innovativeness often face challenges in responding to market changes and may lag behind more agile competitors.
Proactive Marketing
For proactive marketing, 51.92% of the participants indicated high levels, reflecting a proactive orientation in anticipating customer needs and adapting to market changes. Meanwhile, 26.92% of responses fell into the low category, and 21.15% were moderate. This result indicates that while a proactive mindset exists in over half of the organizations, a significant proportion still lacks forward-thinking marketing strategies.
Network Attention
Network attention was identified as relatively lower than other constructs, with only 48.07% of respondents reporting high levels. A notable 28.84% of respondents rated their organization’s network attention low, and 23.08% as moderate. These findings suggest that many organizations may not fully leverage insights from stakeholders and partners, which can limit opportunities for strategic collaboration and knowledge sharing.
Resource Leveraging
Resource leveraging received a high rating from 55.77% of respondents, with 26.92% reporting low levels and 17.31% moderate. The relatively high percentage in the “high” category indicates that many organizations are actively collaborating and utilizing internal and partner resources effectively. However, the one-quarter in the low category signals room for improvement in strategic resource management.
Acceptable Risk
Most respondents (51.93%) reported a high level of acceptable risk, suggesting that over half of the firms are comfortable taking calculated risks to remain competitive. However, 28.84% perceived their organizations as risk-averse (low category), and 19.23% were neutral (moderate). This distribution indicates a general openness toward risk, which is essential for innovation and entrepreneurship, although some firms may still hesitate to invest beyond their comfort zones.
Table 2: Entrepreneurial Marketing of Agripreneurs in Kisan mela (n=52)
|
Variable
|
Range
|
Frequency
|
Percentage
|
|
Acceptable Risk
|
Low (1–2)
|
15
|
28.84%
|
| |
Moderate (3)
|
10
|
19.23%
|
| |
High (4–5)
|
27
|
51.93%
|
|
Innovativeness
|
Low (1–2)
|
11
|
21.15%
|
| |
Moderate (3)
|
6
|
11.54%
|
| |
High (4–5)
|
35
|
67.30%
|
|
Network Attention
|
Low (1–2)
|
15
|
28.84%
|
| |
Moderate (3)
|
12
|
23.08%
|
| |
High (4–5)
|
25
|
48.07%
|
|
Proactive Marketing
|
Low (1–2)
|
14
|
26.92%
|
| |
Moderate (3)
|
11
|
21.15%
|
| |
High (4–5)
|
27
|
51.92%
|
|
Resource Leveraging
|
Low (1–2)
|
14
|
26.92%
|
| |
Moderate (3)
|
9
|
17.31%
|
| |
High (4–5)
|
29
|
55.77%
|
Reliability Analysis (Cronbach’s Alpha):
To ensure the scale items accurately measured their respective EM dimensions, Cronbach’s Alpha was calculated for each construct.
Table 3: Reliability Analysis of E.M of Agripreneurs in Kisan Mela at GBPUAT, Pantnagar
|
Construct
|
Cronbach's Alpha
|
Interpretation
|
|
Innovative Marketing
|
0.726
|
Good internal consistency
|
|
Proactive Marketing
|
0.888
|
Excellent internal consistency
|
|
Resource Leveraging
|
0.844
|
Excellent internal consistency
|
|
Network Attention
|
0.874
|
Excellent internal consistency
|
|
Acceptable Risk
|
0.881
|
Excellent internal consistency
|
To assess the internal consistency of the survey constructs, Cronbach's Alpha was calculated for each of the five domains: Innovative Marketing, Proactive Marketing, Resource Leveraging, Network Attention, and Acceptable Risk. A value above 0.7 is generally considered acceptable, with values above 0.8 indicating good to excellent reliability. These results suggest that all five constructs exhibit satisfactory internal consistency. Four domains (Proactive Marketing, Resource Leveraging, Network Attention, and Acceptable Risk) demonstrated excellent reliability, with alpha values exceeding 0.84. The domain Innovative Marketing also showed good reliability, with a value of 0.726, slightly above the accepted threshold. The slightly lower alpha value for Innovative Marketing may indicate that while the items are generally consistent, there could be one or more items within that domain that are not as strongly aligned with the others. This warrants further inspection through item-level analysis to determine whether removing or revising certain statements could improve reliability. However, since the alpha value is still above 0.7, the scale remains usable in its current form.Overall, the Cronbach's Alpha analysis validates the internal consistency of the survey items, suggesting that the constructs were well-defined and the respondents coherently interpreted the questions. The high reliability across most domains also supports the robustness of the instrument used for data collection.
Correlation Analysis Between Constructs: To understand the interrelationship among different EM constructs, a Pearson correlation matrix was computed using the mean score of each construct.
Table 4: Correlation matrix between different constructs of Entrepreneurial Marketing
| |
Innovative
|
Proactive
|
Leveraging
|
Network
|
Risk
|
|
Innovative
|
1.000
|
0.792
|
0.766
|
0.740
|
0.687
|
|
Proactive
|
0.792
|
1.000
|
0.838
|
0.772
|
0.739
|
|
Resource Leveraging
|
0.766
|
0.838
|
1.000
|
0.852
|
0.777
|
|
Network Attention
|
0.740
|
0.772
|
0.852
|
1.000
|
0.854
|
|
Acceptable Risk
|
0.687
|
0.739
|
0.777
|
0.854
|
1.000
|
To understand the interrelationship among different EM constructs, a Pearson correlation matrix was computed using the mean score of each construct. All five constructs are positively correlated, with most correlation values falling in the strong range (0.70 to 0.89). The highest correlation was observed between Network Attention and Acceptable Risk (r = 0.854), indicating that effective respondents in maintaining networks are also more inclined to take acceptable levels of risk. This suggests a potential link between social capital and risk tolerance in entrepreneurial or strategic marketing contexts. The second highest correlation was between Resource Leveraging and Network Attention (r = 0.852), implying that individuals who effectively utilize resources tend to be well-networked. Proactive Marketing showed strong correlations with Resource Leveraging (r = 0.838) and Innovative Marketing (r = 0.792), further reinforcing that proactive strategies are often supported by creativity and resourcefulness. The weakest, yet still moderately strong, relationship was between Innovative Marketing and Acceptable Risk (r = 0.687). While still within the range of practical significance, this slightly lower value suggests that innovation may be somewhat independent from risk acceptance compared to the other constructs.