Examining the impact of forestry policy on poor and non-poor farmers’ income and production input in collective forest areas in China

Lu, Shasha; Sun, Haisheng; Zhou, Yi; Fan, Qin; Guan, Xingliang

doi:10.1016/j.jclepro.2020.123784

Cited by 32 publications

(19 citation statements)

References 41 publications

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“…In both countries studied, the forestry sector plays an important role by providing employment to people from the poorest rural regions. According to Lu et al [46] and Jiangdi et al [47] poverty among farmers can be significantly reduced by improving the efficiency of the forestry sector. Existing studies on the forestry sector and forest enterprises in both countries were implemented mainly on a national basis.…”

Section: Introductionmentioning

confidence: 99%

Economic Efficiency of Forest Enterprises—Empirical Study Based on Data Envelopment Analysis

Neykov

Krišťáková

Hajdúchová

et al. 2021

Forests

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Countries are forced to develop bio-based economic strategies to promote efficient use of renewable natural resources. The transition towards a sustainable forest bio-based economy is associated with resource efficiency optimization, adoption of innovative bio-based approaches in terms of technological improvements and cost effectiveness, and an opportunity to reach multiple societal challenges. This paper is focused on a comparative analysis of the forestry sector in the Republic of Bulgaria and the Slovak Republic by estimating the economic efficiency of four Bulgarian state-owned forest enterprises and four Slovak forest enterprises. The evaluation of economic efficiency was carried out using selected indicators of the studied enterprises over a period of five years. A data envelopment analysis (DEA) approach was used as a non-parametric linear technique for measuring the relative efficiency of a set of production decision-making units (DMUs). The Malmquist productivity index (MPI) was used to assess the pure efficiency changes (PEC) and technological changes (TCs) of the studied forest enterprises. Data for 2014–2018 were processed. The results obtained for the economic efficiency study outlined the major factors affecting the differences in efficiency scores. The long-term sustainability and increased economic efficiency of forest enterprises in both countries can be achieved by improvements in forest management and investments in research and development activities.

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Section: Introductionmentioning

confidence: 99%

Economic Efficiency of Forest Enterprises—Empirical Study Based on Data Envelopment Analysis

Neykov

Krišťáková

Hajdúchová

et al. 2021

Forests

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“…In 2003, a new round of CFRR started in Fujian Province was supported by the central government and quickly spread to other provinces in Southern China. China began to comprehensively promote the CFRR reform in 2008 to clarify contract and management rights, giving households the right to transfer forestland, become shareholders in forestry enterprises, and mortgage forest land to obtain forestry loans [24]. In 2008, "Opinions of CPC Central Committee and State Council on Comprehensively Promoting the Reform of Collective Forest Right" designated households as the main body of forestry management.…”

Section: A New Round Of Cfrr In 2003mentioning

confidence: 99%

“…The effect of forest land outflow policy on comprehensive technical efficiency was not found to be significant. Lu et al [24] also thought the forestry policy plays an important role in China's collective forest areas in improving the management efficiency of forest land. Because of the clarification of forestland contract rights and contract duration, households have more autonomy in land inflow and outflow, thus providing important guarantees for households, especially for poor households, to invest in productive inputs.…”

Section: Did Regression and Quantile Regression For Comprehensive Efficiencymentioning

confidence: 99%

New Round of Collective Forest Rights Reform, Forestland Transfer and Household Production Efficiency

Wei

Fang

et al. 2021

Land

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The purpose of this paper was to analyze the influence mechanism of the new round of Collective Forest Rights Reform (CFRR) on farmers’ production efficiency from the perspective of forestland transfer. Based on the panel data of field investigation in Jiangxi Province, a panel logit model was used to verify whether the new round of CFRR has affected farmers’ forestland circulation behavior. The results showed that the new round of CFRR has played a significant role in promoting forestland circulation. Secondly, the non-parametric DEA method was used to estimate the technical, scale, and comprehensive efficiency of households. DID and panel quantile models were constructed to analyze the impact of forestland inflow policy and forestland outflow policy effects on rural household productivity. The regression results showed that the effect of forestland inflow has had a significantly positive impact on scale and comprehensive efficiency, but it only had a significant effect on technical efficiency in the 0.1 quartile. The effect of forestland outflow was not found to be significant for technical, scale, and comprehensive efficiency, but it was found to be negative for technical efficiency in the 0.75 quartile and negative for scale efficiency in the 0.5 and 0.75 quantiles.

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“…For example, Reddy and Chakravarty (1999) founded that in northern India, forestry revenues can reduce the probability of poverty. There are many factors that affect farmers' income in forestry, which can be summarized into two aspects: i)The factors of the farmer household itself, such as the size of the household and the number of adult labor force (Pyi et al, 2015), the family cultivated land (Patricia et al, 2012), the forest land area (Lu et al, 2020), and the integration degree of forestry with agriculture and animal husbandry (Adriana et al,2019;Roberto et al,2015). ii) Factors other than the farmer's household, such as the state of forestry resources (Getachew et al, 2007), climatic conditions (Oscar & William, 2021), sudden natural disasters (Feng & Dai, 2019), forestry technology (Nambiar, 2021), forestry capital (Hari et al, 2017), and fiscal policy (Carlos et al,2020).…”

Section: Introductionmentioning

confidence: 99%

The Impact of Forestry Industry Integration on the Forest Farmers' Income in China: A Theoretical and Empirical Study

Chen,

Jin,

Wang

et al. 2024

A&R

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Transforming the forestry development model and promoting the integrated development of the forestry industry has become an important way for forestry to break through development bottlenecks and achieve efficiency enhancement, prosperity of forest areas, and income increase for forest farmers. In this study, we have theoretically elaborated on the mechanism by which the integrated development of the forestry industry affects the income level of forest farmers. In terms of empirical research, we use the inter provincial panel data from 2005 to 2019 to empirically test the individual heterogeneity, regional heterogeneity, and spatial spillover effects of forestry industry integration on forest farmer income with the help of fixed effect model, quantile regression model and spatial panel model. Results showed that, firstly, the level of integration in the forestry industry is on the rise, with most provinces in the middle or high integration stage. Among them, the Northeast region has the highest level of integration. Secondly, there is a positive spatial correlation in the income of Chinese forest farmers, and the spatial correlation is gradually increasing. The income of forest farmers in coastal provinces is relatively high, as indicated by the presence of HH clusters. Thirdly, the integration of the forestry industry has significantly improved the income level of forest farmers, and there are group heterogeneity and regional differences. The heterogeneity of income is reflected in the increasing income effect of forestry industry integration, which continuously strengthens with the improvement of the income level of forest farmers. Regional heterogeneity is mainly manifested in the Northeastern, Eastern, and Central regions. The integration of forestry industries can significantly promote the growth of forest farmers’ income, while in the Western regions, the income increase effect of forestry industry integration has an inhibitory effect, but is not significant. Finally, the integration of the forestry industry has significant spatial spillover effect and the indirect effect is greater than the direct effect. However, the spillover effect coefficient is 0.007, which is still at a relatively low level, and the diffusion effect generated by factor flow still needs to be strengthened. Efforts to boost integrated forestry industry development will broaden the income channels of forest farmers by leveraging high productivity of the agglomeration effects, diffusion effect and demonstration effect, strengthening regional communication and cooperation, and promoting integrated forestry industry development with adjacent regions. This study helps to correctly grasp the relationship between forestry industry integration and farmers’ income, and provides decision-making reference for local governments to formulate policies for increasing farmers’ income in the development of forestry industry integration based on actual situations.

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Examining the impact of forestry policy on poor and non-poor farmers’ income and production input in collective forest areas in China

Cited by 32 publications

References 41 publications

Economic Efficiency of Forest Enterprises—Empirical Study Based on Data Envelopment Analysis

Economic Efficiency of Forest Enterprises—Empirical Study Based on Data Envelopment Analysis

New Round of Collective Forest Rights Reform, Forestland Transfer and Household Production Efficiency

The Impact of Forestry Industry Integration on the Forest Farmers' Income in China: A Theoretical and Empirical Study

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