• Journal of Korean Society of Forest Science
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• v.106 no.4
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• pp.497-508
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• 2017

This study conducted to examine about the income inequality and bi-polarization for forestry household. For this purpose, Gini coefficient and Atkinson index were used to analyze the income inequality for forestry household. Also, DER index were employed to show their income bi-polarization. Before using these methodologies, forestry household income was divided into three parts that was forestry income, non forestry business income and transfer income. And then, income inequality and bi-polarization were analyzed respectively. The result shows that forestry household income inequality was higher than whole household inequality. Apart from transfer income, forestry household income, forestry income and non forestry business income inequality was aggravated. At the same time, these tendency was able to observe the bi-polarization for forestry household income and other income sources.

• Journal of Korean Society of Forest Science
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• v.108 no.3
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• pp.392-404
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• 2019

The purpose of this study was to identify the impact of various income sources on income inequality of forestry households. Data from the Forestry Household Economy Survey from 2013-2016 were analyzed using the Gini coefficient decomposition method via income source. In particular, the income inequality analysis of forestry households was broken down into separate analyses based on group, i.e., the whole of forestry households and the five income quintile classes. The results of the analyses showed that income inequality of forestry households is primarily affected by forestry and nonforestry incomes and income quintile class. Moreover, income inequality of the highest income quintile class was largely affected by forestry income compared with other sources of income, whereas that of other income quintile classes was largely affected by nonforestry income. Therefore, in order to reduce income inequality in forestry households, it is necessary to increase the proportion of forestry income in the lower four quintile classes. Given that the income of the lowest quintile class is negative, it is necessary to devise ways to improve the proportion and quantity of forestry income. At the same time, as forestry income increases, a policy alternative is also required to improve inequality in forestry income.

• Journal of Forest and Environmental Science
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• v.33 no.4
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• pp.355-360
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• 2017

This study was aimed to analyze the increased forestry incomes by combining timber production and wood processing, which is one of 6th industrialization types in Korean forestry. The selected household has been engaged in forestry for two generations and they produce timber and associated wood products in their own facility. The wood products include dimension lumber, interior wood material, cutting board, and cube chips, the household also utilize logging and sawmill residues as well as seed and seedlings as by-products. Incomes and expenses that have been incurred on individual processes of the sequential timber production and wood processing were surveyed, and we analyzed the economic outcomes of entire business. The results of this study indicate that the gross income of the household is 122.3 million Korean won and the net income is 93.6 million Korean won. The net income of the household is approximately 2.8 times higher than the average net income of whole households in the forestry of Korea in 2016, which is approximately 4.3 times higher than that of households that have been particularly engaged in timber production over the country. We found that the 6th industrialization by combining the two sequential processes creates approximately 3.2 times as much added value compared to the case relying on timber production only.

• Journal of Forest and Environmental Science
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• v.25 no.1
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• pp.43-48
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• 2009

Forests render both a home and a livelihood for people living in and around them. To reconcile the need of local communities with conservation, the Nishorgo Support Project (NSP or Nishorgo) is supporting co-management in five protected areas of Bangladesh, including Rema-Kalenga Wildlife Sanctuary. The main focus of this study is to assess the effectiveness of alternate income generating activities (AIGAs) which is provided by the Nishorgo Support Project. It is a tool for reducing dependence on forest resources by people living in and around Rema-Kalenga Wildlife Sanctuary and also play effective role in forest conservation. This study compares the socioeconomic condition (income, living style etc.) and forest dependency before and after implementation of co-management activities in Rema-Kalenga Wildlife Sanctuary. A total of 11 villages (sampling intensity was 31%) namely Kalibari, Mongoliabari, Chokidarbari, Chonbari, kalenga, Krishnochura, Hatimara, Himalia, Rashidpur, Goramchori and Horinmara were studied. We surveyed 272 households in these villages (Incase of households survey, sampling intensity was 100%). Data analysis shows that the major income generating livelihood activities were agro farming (30%), followed by fuelwood collection (22.50%), nursery raising (12.5%), cattle rearing (10%), fisheries (7.50%) and others. Study also reveals that after being implementation of the co-management activities the average income levels of the studied villages have rises on 578 Tk/households (1US$ = 70 Taka, Taka means Bangladeshi currency). Further more, many of the illegal loggers became forest protector, which make their life more secured. It was also found that peoples of the study villages are now actively engaging in forest management activities and it is the only hope for conservation and restoration of forest resources not only in Rema-Kalenga Wildlife Sanctuary but also in other protected area's of our country.

• Journal of Korean Society of Forest Science
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• v.96 no.6
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• pp.705-713
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• 2007

The purpose of this study was to understand the organization and the forestry household income applied the result of 2005 Forestry Census and the Economic survey of Forest household in Korea. As a result of the analysis, there are 97,108 households of a forester in korea 2005. Full time forestry household occupied 7,925 families (8.2%), part time forestry household occupied 88,183 families (91.8%). Therefore, the most household of a forester is part time forestry household in korea. The average people of the household of a forester family is 2.7 people. The age of forest manager are sixties nearly, over sixty years old forest manager occupied 51,505 people (53%). The forest management period of forestry households is more than 6 months in 39,229 families (40.4%), less than 1 month in 7,216 families (7.4%). The average area of forestry households owning forest is 4.6ha. According to the type of business, logging families possesses 19.5 ha. The mean income of forestry households is \27,148,000. One of them, forestry income is \6,529,000, which occupied 24.1%. Furthermore, forestry households less than \5,000,000 forest product sales performance occupied 51,633 families, which is 64%. Forest operating costs is \6,566,000 mean per family. In addition, the number of a forestry household resident villages is 11,829 villages, where is 32.8% of whole villages in korea. There are 2,979 villages where reside forestry household in gyeongsangbuk-do.

• Journal of the Korean Wood Science and Technology
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• v.2 no.4
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• pp.4-14
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• 1974

The total forest land area in Korea accounts for some 67 percent of the nation's land total. Its productivity, however, is very low. Consequently, forest production accounts for only about 2 percent of the gross national product and a minor proportion of no more than about 5 percent versus primary industry. In this case, however, only the direct income from forestry is taken into account, making no reference to the forestry output induced by other industrial sectors. The value added Or the induced forestry output in manufacturing the primary wood products into higher quality products, makes a larger contribution to the economy than direct contribution. So, this author has tried to analyze the structure of forestry and compute the repercussion effect and the induced output of primary forest products when utilized by other industries for their raw materials, Hsing the input-output table and attached tables for 1963 and 1966 issued by the Bank of Korea. 1. Analysis of forestry structure A. Changes in total output Durng the nine-year period, 1961-1969, the real gross national product in Korea increased 2.1 times, while that of primary industries went up about 1. 4 times. Forestry which was valued at 9,380 million won in 1961, was picked up about 2. 1 times to 20, 120 million won in 1969. The rate of the forestry income in the GNP, accordingly, was no more than 1.5 percent both in 1961 and 1962, whereas its rate in primary industries increased 3.5 to 5.4 percent. Such increase in forestry income is attributable to increased forest production and rise in timber prices. The rate of forestry income, nonetheless, was on the decrease on a gradual basis. B. Changes in input coefficient The input coefficient which indicates the inputs of the forest products into other sectors were up in general in 1966 over 1963. It is noted that the input coefficient indicating the amount of forest products supplied to such industries closely related with forestry as lumber and plywood, and wood products and furniture, showed a downward trend for the period 1963-1966. On the other hand, the forest input into other sectors was generally on the increase. Meanwhile, the input coefficient representing the yolume of the forest products supplied to the forestry sector itself showed an upward tendency, which meant more and more decrease in input from other sectors. Generally speaking, in direct proportion to the higher input coefficient in any industrial sector, the reinput coefficient which denotes the use of its products by the same sector becomes higher and higher. C. Changes in ratio of intermediate input The intermediate input ratio showing the dependency on raw materials went up to 15.43 percent m 1966 from 11. 37 percent in 1963. The dependency of forestry on raw materials was no more than 15.43 percent, accounting for a high 83.57 percent of value added. If the intermediate input ratio increases in any given sector, the input coefficient which represents the fe-use of its products by the same sector becomes large. D. Changes in the ratio of intermediate demand The ratio of the intermediate demand represents the characteristics of the intermediary production in each industry, the intermediate demand ratio in forestry which accunted for 69.7 percent in 1963 went up to 75.2 percent in 1966. In other words, forestry is a remarkable industry in that there is characteristics of the intermediary production. E. Changes in import coefficient The import coefficient which denotes the relation between the production activities and imports, recorded at 4.4 percent in 1963, decreased to 2.4 percent in 1966. The ratio of import to total output is not so high. F. Changes in market composition of imported goods One of the major imported goods in the forestry sector is lumber. The import value increased by 60 percent to 667 million won in 1966 from 407 million won in 1963. The sales of imported forest products to two major outlets-lumber and plywood, and wood products and furniture-increased to 343 million won and 31 million won in 1966 from 240million won and 30 million won in 1963 respectively. On the other hand, imported goods valued at 66 million won were sold to the paper products sector in 1963; however, no supply to this sector was recorded in 1963. Besides these major markets, primary industries such as the fishery, coal and agriculture sectors purchase materials from forestry. 2. Analysis of repercussion effect on production The repercussion effect of final demand in any given sector upon the expansion of the production of other sectors was analyzed, using the inverse matrix coefficient tables attached to the the I.O. Table. A. Changes in intra-sector transaction value of inverse matrix coefficient. The intra-sector transaction value of an inverse matrix coefficient represents the extent of an induced increase in the production of self-support products of the same sector, when it is generated directly and indirectly by one unit of final demand in any given sector. The intra-sector transaction value of the forestry sector rose from 1.04 in 1963 to 1, 11 in 1966. It may well be said, therefore, that forestry induces much more self-supporting products in the production of one unit of final demand for forest products. B. Changes in column total of inverse matrix coefficient It should be noted that the column total indicates the degree of effect of the output of the corresponding and related sectors generated by one unit of final demand in each sector. No changes in the column total of the forestry sector were recorded between the 1963 and 1966 figures, both being the same 1. 19. C. Changes in difference between column total and intra-sector transaction amount. The difference between the column total and intra-sector transaction amount by sector reveals the extent of effect of output of related industrial sector induced indirectly by one unit of final demand in corresponding sector. This change in forestry dropped remarkable to 0.08 in 1966 from 0.15 in 1963. Accordingly, the effect of inducement of indirect output of other forestry-related sectors has decreased; this is a really natural phenomenon, as compared with an increasing input coefficient generated by the re-use of forest products by the forestry sector. 3. Induced output of forestry A. Forest products, wood in particular, are supplied to other industries as their raw materials, increasng their value added. In this connection the primary dependency rate on forestry for 1963 and 1966 was compared, i. e., an increase or decrease in each sector, from 7.71 percent in 1963 to 11.91 percent in 1966 in agriculture, 10.32 to 6.11 in fishery, 16.24 to 19.90 in mining, 0.76 to 0.70 in the manufacturing sector and 2.79 to 4.77 percent in the construction sector. Generally speaking, on the average the dependency on forestry during the period 1963-1966 increased from 5.92 percent to 8.03 percent. Accordingly, it may easily be known that the primary forestry output induced by primary and secondary industries increased from 16, 109 million won in 1963 to 48, 842 million won in 1966. B. The forest products are supplied to other industries as their raw materials. The products are processed further into higher quality products. thus indirectly increasing the value of the forest products. The ratio of the increased value added or the secondary dependency on forestry for 1963 and 1966 showed an increase or decrease, from 5.98 percent to 7.87 percent in agriculture, 9.06 to 5.74 in fishery, 13.56 to 15.81 in mining, 0.68 to 0.61 in the manufacturing sector and 2.71 to 4.54 in the construction sector. The average ratio in this connection increased from 4.69 percent to 5.60 percent. In the meantime, the secondary forestry output induced by primary and secondary industries rose from 12,779 million Wall in 1963 to 34,084 million won in 1966. C. The dependency of tertiary industries on forestry showed very minor ratios of 0.46 percent and 0.04 percent in 1963 and 1966 respectively. The forestry output induced by tertiary industry also decreased from 685 million won to 123 million won during the same period. D. Generally speaking, the ratio of dependency on forestry increased from 17.68 percent in 1963 to 24.28 percent in 1966 in primary industries, from 4.69 percent to 5.70 percent in secondary industries, while, as mentioned above, the ratio in the case of tertiary industry decreased from 0.46 to 0.04 percent during the period 1963-66. The mining industry reveals the heaviest rate of dependency on forestry with 29.80 percent in 1963 and 35.71 percent in 1966. As it result, the direct forestry income, valued at 8,172 million won in 1963, shot up to 22,724 million won in 1966. Its composition ratio lo the national income rose from 1.9 percent in 1963 to 2.3 per cent in 1966. If the induced outcome is taken into account, the total forestry production which was estimated at 37,744 million won in 1963 picked up to 105,773 million won in 1966, about 4.5 times its direct income. It is further noted that the ratio of the gross forestry product to the gross national product. rose significantly from 8.8 percent in 1963 to 10.7 percent in 1966. E. In computing the above mentioned ratio not taken into consideration were such intangible, indirect effects as the drought and flood prevention, check of soil run-off, watershed and land conservation, improvement of the people's recreational and emotional living, and maintenance and increase in the national health and sanitation. F. In conclusion, I would like to emphasize that the forestry sector exercices an important effect upon the national economy and that the effect of induced forestry output is greater than its direct income.

• Forest Science and Technology
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• v.14 no.4
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• pp.192-203
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• 2018

This study analyzed the distribution of forest income and other variable sources of rural household income and considered their importance for the reduction of income inequality and poverty. We employed Gini decomposition to measure the contribution of forest income and other sources of income to income equality and assess whether they were inequality-increasing or inequality-decreasing in the 14 villages. The forest income Gini correlation with total income was very high, $R_k=0.6960$, and the forest income share of total rural household income was 35% ($S_k=0.3570$). If the income earned from forest activities was removed, the Gini index would increase by 10.3%. Thus, if people could not access forest resources because of vast deforestation, perhaps from the limitations of government-managed forestry, unplanned clearing of forest land for agriculture or the granting of ELCs, there would be an increase in income inequality and poverty among rural households. The findings suggest that policy makers should look beyond agriculture for rural development, as forest resources provide meaningful subsistence income and perhaps contribute to both preventing and reducing poverty and inequality in rural communities. The study found that non-farm activities were inequality-increasing sources of income. The share of non-farm income to the total rural household income was $S_k=0.1290$ and the Gini index of non-farm income was very high, $G_k=0.8780$, compared with forest and farm income. This disagrees with other studies which have reported that non-farm income was inequality-decreasing for the rural poor.

• Journal of Korean Society of Forest Science
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• v.106 no.4
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• pp.473-479
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• 2017

This study is to analyze differences in gross income between only forestry and agroforestry. In addition, cost structure and management performance on poultry farming was surveyed. The study sites were three forestry households located in Chungju, Kyungsan and Hwacheon. The method of its management performance were conducted by interview. And, survey items of the performance were operating expenses items and gross income items in 2015. As a result of study, gross income of Chungju business model was 25,608,000 won. The operating cost was 20,217,571 won so that the net income was 5,390,429 won. In case of Gyeongsan, gross income was 33,950,000 won and the operating cost was 18,655,714 won. Thus, the net income was 15,494,286 won. Hwacheon business model showed that gross income was 31,850,000 won, the operating cost was 13,143,000 won. Thus, the net income was 18,707,000 won. And, break-even point of sale volume, which meets cost, was 617 chicken in Chungju, 125 chicken in Gyeongsan, and 63 chicken in Hwacheon. In terms of selling cost-per-production ratio, Chungju business model was 79%, Kyungsan was 55% and Hwacheon was 41%. The results of this study indicates that margin ratio per chicken was 21% in Chungju, 45% in Kyungsan and 59% in Hwacheon. On Agroforestry, increasing rate for gross income was evaluated by 16% in Chungju, 18% in Gyeongsan and 11% Hwacheon.

• Journal of Korean Society of Forest Science
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• v.108 no.1
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• pp.97-108
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• 2019

In a situation where production of short-term income forestry products has been stagnant or decreased in recent years, the government or related agencies are trying to promote consumption of short-term income forest products. While consumer sentiment studies on short-term income forestry are being conducted as part of efforts to encourage consumption, most of the studies rely solely on a survey-based method. In the information age, consumer sentiment toward consumer goods is reflected mostly on social networking sites due to the spread of the Internet. It is necessary to avoid relying solely on a survey-based method in existing research and directly analyze social networking sites that reflect consumers' wishes. In response, this study identified consumer preferences for major short-term income forest products through social big data analyses and used the results to establish strategies for promoting the sale of short-term income forest products. This paper is different from previous research using only a survey-based method, and it uses SNS to understand consumer preferences. The results of this study are expected to directly help the government or related agencies promote consumption of short-term income forest products and, ultimately, help improve forest-related income and promote healthy forest condition.

• Economic and Environmental Geology
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• v.54 no.6
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• pp.649-657
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• 2021

This paper aims to study the impact of natural disasters on per capita income in Vietnam both the short and long-term, specifically impact loss of income caused by the extreme drought 2013 for agriculture, forestry and fishery in Phu Yen Province, Central Vietnam. The study valued economic damage by applying the synthetic control method (SCM), which is a statistical method to evaluate the effect of an intervention (e.g. natural disasters) in different case studies. It estimates what would have happened to the treatment group if it had not received the treatment by constructing a weighted combination of control units (e.g. control provinces). The results showed that the 2013 drought caused a decrease in income per capita, mainly in the agriculture, forestry, and fishery sector in Phu Yen. The reduced income was estimated to be VND 160,000 (1 USD = 23,500 VND (2021)) for one person per month, accounting for 11% of total income per capita and continued to affect the income 6 years later. Therefore, authorities need to invest in preventive solutions such as early and accurate warnings to help people to be more proactive in disaster prevention.