| Literature DB >> 35991618 |
Ayat Ullah1,2, Ashok K Mishra3, Miroslava Bavorova1, Harald Kächele2,4.
Abstract
The COVID-19 pandemic exposed the agriculture sector and farming communities to unprecedented risks. This study investigates the impact of the pandemic, identifying the suggestions of community elders for effective resilience via in-depth interviews (IDIs) and Focus Group Discussions (FGDs). We also examine determinants of vegetable farmers' inputs and outputs market participation using a binary logit model. The findings reveal poor business owners' support, difficulties accessing inputs and outputs markets, non-availability/shortage of inputs recommended by extension services, and poor access to mechanizations. Labor shortages, lack of access to agricultural credit, and lack of information on innovations and markets are also barriers to market integration of farming communities in Pakistan. Results of the logit model show that farming experience and support from market owners drive the participation of both the inputs and outputs market. Similarly, ownership of personal vehicles and the availability of farm machinery drive the participation of farmers in outputs markets. Various strategies are suggested to mitigate the risks of the Covid-19 pandemic, including the establishment of inputs and outputs markets, strategies for transportation, access to information, and farm machinery at the local level.Entities:
Keywords: Agriculture sector; Coronavirus; Farming communities; Markets integration
Year: 2022 PMID: 35991618 PMCID: PMC9376030 DOI: 10.1016/j.ijdrr.2022.103220
Source DB: PubMed Journal: Int J Disaster Risk Reduct ISSN: 2212-4209 Impact factor: 4.842
Fig. 1Conceptual framework of the effect of COVID-19 pandemic on small farmers markets integration. Source: Author's formulation based on existing literature, FGDs and in-depth interviews.
Fig. 2Map of the study area.
Description, definition, and values of the variables used in the logistic regression.
| Variables | Description and Measurement | Mean | Std. dev |
|---|---|---|---|
| Farmer participation in inputs markets | If a farmer has participated to an extent in an input market, then D = 1; otherwise, D = 0 | 0.46 | 0.50 |
| Farmer participation in outputs markets | If a farmer has participated to an extent in an output market, then D = 1; otherwise, D = 0 | 0.50 | 0.50 |
| Age | Age of household head (years) | 33.79 | 9.97 |
| Education | Education of household head (years) | 3.58 | 4.90 |
| Farming experience | Total vegetable farming experience (years) | 17.36 | 6.01 |
| Landholding size | Total agricultural land in acres owned by a vegetable farmer | 4.91 | 3.06 |
| Households size | Number of family members in a household | 12.20 | 5.99 |
| Farm income | Annual household income in Pakistani rupees | 121741.66 | 113637.23 |
| Access to credit | If a vegetable farmer had access to credit during the pandemic, then D = 1; otherwise, D = 0 | 0.43 | 0.49 |
| Access to information | If a vegetable farmer had access to information during the pandemic, then D = 1; otherwise, D = 0 | 0.29 | 0.45 |
| Ownership of vehicles | If a vegetable farmer owns his personnel vehicle for vegetable delivery, then D = 1; otherwise, D = 0 | 0.39 | 0.49 |
| Availability of farm machinery | If a vegetable farmer had access to farm machinery during the pandemic, then D = 1; otherwise, D = 0 | 0.17 | 0.38 |
| Labor shortage | If a vegetable farmer has faced laborers shortage during the pandemic, then D = 1; otherwise, D = 0 | 0.78 | 0.41 |
| Support from market owners | If a vegetable farmer has received any support from the market owner during the pandemic, then D = 1; otherwise, D = 0 | 0.31 | 0.46 |
| Support from community/family | If a vegetable farmer has received any support from his family during the pandemic, then D = 1; otherwise, D = 0 | 0.93 | 0.25 |
Note: A variable “Extension contact” is not included in the study because the lead author was/is an extension agent of the study area and all respondents were in frequent contact with him.
Fig. 3In-depth interviews results on inputs markets disparities. Note: Total cases on farmers' inputs markets access are 120. “No” shows those cases that failed to reach markets. “Yes” shows those cases that reached, and “to an extent” shows those cases that thought they reached but were trapped in the market and did not return timely.
Total cases on availability of extension suggested inputs were 60. “No” shows those cases that did not purchase farm inputs, “yes” shows those cases that purchased the inputs, and “to an extent” shows those cases that purchased inputs that were insufficient or incomplete for their farming needs.
Fig. 4In-depth interviews on farm income and productivity losses.
Binary logistic model parameter estimates on determinants of factors affecting farmers’ participation in input and output markets in Pakistan.
| Farmer participation in inputs markets | Farmer participation in outputs markets | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Variables | Coefficient | Std. Err. | Wald χ2 | P > z | Odds Ratio | Coefficient | Std. Err. | Wald χ2 | P > z | Odds Ratio |
| Age | .001 | .023 | .001 | .973 | 1.001 | −.006 | .043 | .021 | .884 | .994 |
| Education | .032 | .045 | .504 | .478 | 1.033 | .045 | .100 | .201 | .654 | 1.046 |
| Farming experience | .175 | .053 | 10.987 | .001 | 1.191 | .613 | .137 | 20.121 | .000 | 1.846 |
| Land holding size | .054 | .084 | .414 | .520 | 1.055 | .089 | .158 | .315 | .575 | 1.093 |
| Households size | .014 | .041 | .113 | .736 | 1.014 | .020 | .090 | .049 | .825 | 1.020 |
| Farm income | .000 | .000 | .008 | .928 | 1.000 | .000 | .000 | .096 | .756 | 1.000 |
| Access to credit | .461 | .457 | 1.015 | .314 | 1.585 | −1.471 | 1.091 | 1.819 | .177 | .230 |
| Access to information | .248 | .499 | .246 | .620 | 1.281 | .078 | .978 | .006 | .936 | 1.081 |
| Ownership of vehicle | .087 | .482 | .033 | .857 | 1.091 | 1.684 | .981 | 2.948 | .086 | 5.390 |
| Availability of farm machinery | −.605 | .668 | .820 | .365 | .546 | 3.168 | 1.250 | 6.419 | .011 | 23.751 |
| Labor shortage | .074 | .563 | .017 | .895 | 1.077 | −1.079 | 1.128 | .915 | .339 | .340 |
| Support from market owner | .976 | .572 | 2.906 | .088 | 2.653 | 1.914 | 1.085 | 3.111 | .078 | 6.780 |
| Support from community/family | −.740 | .922 | .644 | .422 | .477 | 25.087 | 10.772 | .000 | .998 | 78.483 |
| Summary statistics | −2 Log-Likelihood = 134.01; Pseudo-R2 = 0.309; Prob > χ2: 0.00. | −2 Log-Likelihood = 44.59; Pseudo-R2 = 0.850; Prob > χ2: 0.00. | ||||||||
Results of FGDs on farmers’ participation in input and output markets.
| Variables | Cases | Percentages |
|---|---|---|
| Farmer inputs markets access | 89 | 86.41 |
| Purchased of extension suggested inputs in markets | 81 | 71.64 |
| Productivity losses | 103 | 100 |
| Income losses | 103 | 100 |
Results of FGDs on the determinant factors of vegetable farmer's inputs and outputs markets integration.
| Variables | Cases | Percentages |
|---|---|---|
| Farmer access to farm machinery | 72 | 69.9 |
| Labor shortage | 85 | 82.52 |
| Access to credit | 94 | 91.26 |
| Access to market information | 91 | 88.35 |
Total cases 103.
Communities’ suggestions for pandemics risks reductions.
| Suggestions | FGD01 | FGD02 | FGD03 | FGD04 | FGD05 | FGD06 | FGD07 | FGD08 |
|---|---|---|---|---|---|---|---|---|
| If the government wants to close areas, markets, and social activities, then they need to provide inputs (in required amount) to farmers at their doorsteps | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| All transports delivering vegetables to city markets must be kept open through proper methods and planning, while strategies ensuring that all consumers have access to vegetables in the markets must be employed | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| Proper ways and strategies should be made for those farmers (large farmers with large farmlands) who are trapped in the cities to return to their villages at proper times to cultivate their lands at proper times. This is critical for preventing famines during pandemics | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| Ensuring labor flow at the local level is an effective way to prevent farm losses. There should be proper planning and strategies for ensuring the labor flow, thus ensuring that the resource-poor and tenant farmers have access to wages and that the market oriented farmers have access to farm labor. This will also benefit inputs and outputs markets | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| Effective information flow on markets, with updated prices of inputs and outputs made available throughout the pandemic, thus ensuring the lessening of economic losses | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| Training programs for farmers should be arranged to provide the necessary skills for the unpredictable prevention moments in future | × | ✓ | × | × | ✓ | × | ✓ | × |
| The majority of community farmers obtain credit from inputs providers. Closures of markets signify that the doors of credit for farmers are also closed. To prevent farmer losses, they should be given access to credit. Credit can also be an easy reimbursement. In inputs markets, the inputs providers only give credit to those farmers who can provide an affidavit that they will only sell output to him, thus forcing farmers to sell them outputs at their choice of rates | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| There is a need to establish inputs and outputs markets at the local level. This can prevent the spoilage of vegetables to a large extent and can ensure farmers' access to inputs during pandemic situations. | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| There is a need to establish committees that specifically address problems with inputs and outputs markets | × | ✓ | × | ✓ | ✓ | × | × | × |